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ORCIDYong Li 0008
李勇
Person information
- unicode name: 李勇
- affiliation: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), China
- affiliation (PhD 2012): Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Yong Li — disambiguation page
- Yong Li 0001
![[0000-0002-4096-8652]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4096-8652")
— Beijing University of Posts and Telecommunications (BUPT), Wireless Signal Processing and Network Laboratory, China - Yong Li 0002 — Beijing Jiaotong University, School of Electronic and Information Engineering, China (and 1 more)
- Yong Li 0003 — Toyama University, Toyama-shi, Japan
- Yong Li 0004 — Zhejiang University, Hangzhou, China
- Yong Li 0005 — State Key Laboratory of Novel Software Technology, Nanjing, China
- Yong Li 0006 — National University of Defense Technology, China
- Yong Li 0007 — Chinese Academy of Sciences, Institute of Computing Technology, China
- Yong Li 0009 — University of Pittsburgh, Department of ECE, PA, USA
- Yong Li 0010 — Siemens Corporate Research, Princeton, NJ, USA
- Yong Li 0011 — Bielefeld University, Institute of Genome Research, Germany (and 1 more)
- Yong Li 0012 — King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (and 1 more)
- Yong Li 0013 — Shandong University, Geotechnical & Structural Engineering Research Center, Jinan, China
- Yong Li 0014 — Chinese Academy of Sciences, Key Laboratory of Spectral Imaging Technology, Xi'an, China
- Yong Li 0015 — University of Tennessee at Knoxville, Department of Electrical Engineering and Computer Science, TN, USA
- Yong Li 0016 — Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more)
- Yong Li 0017 — Xi'an Jiaotong University, School of Aerospace, State Key Laboratory for Strength and Vibration of Mechanical Structures, China
- Yong Li 0018 — University of Pittsburgh, Department of Mathematics, PA, USA
- Yong Li 0019 — Xinjiang Normal University, College of Computer Science and Technology, China (and 1 more)
- Yong Li 0020 — Jiangsu University, Automotive Engineering Research Institute, Zhenjiang, China (and 1 more)
- Yong Li 0021 — Huawei Technologies Düsseldorf GmbH, Germany (and 1 more)
- Yong Li 0022 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
- Yong Li 0023 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Mobile Communications Technology, China (and 1 more)
- Yong Li 0024 — Chinese Academy of Sciences, Institute of Subtropical Agriculture, Changsha, China
- Yong Li 0025 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 1 more)
- Yong Li 0026 — Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong (and 1 more)
- Yong Li 0027 — Guangzhou Institute of Geography, Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, China
- Yong Li 0028 — Guangxi University, School of Electrical Engineering, Nanning, China (and 2 more)
- Yong Li 0029 — Zhejiang University, Hangzhou, China
- Yong Li 0030 — Chinese Academy of Forestry, Institute of Wetland Research, Beijing, China (and 1 more)
- Yong Li 0031 — Chinese Academy of Sciences, Science, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
- Yong Li 0032 — Southeast University, School of Computer Science and Engineer, Nanjing, China (and 2 more)
- Yong Li 0033 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Yong Li 0034 — JD.com, Intelligent Advertising Lab, China (and 1 more)
- Yong Li 0035 — Shenyang University of Technology, School of Electrical Engineering, China (and 1 more)
- Yong Li 0036 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Yong Li 0037 — Beijing University of Technology, School of Software Engineering, Faculty of Information Technology, China
- Yong Li 0038 — VIPSHOP, China (and 1 more)
- Yong Li 0039 — Northwestern Polytechnical University, School of Marine science and Technology, Xi'an, China
- Yong Li 0040 — ShanghaiTech University, School of Information Science and Technology, China
- Yong Li 0041 — Harbin Institute of Technology, Electrical Engineering Department, China
- Yong Li 0042 — East China University of Science and Technology, School of Mechanical and Power Engineering, Shanghai, China (and 1 more)
- Yong Li 0043 — Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China (and 3 more)
- Yong Li 0044 — Nanjing University of Science and Technology, PCALab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, China
- Yong Li 0045 — Alibaba Group, Beijing, China
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2020 – today
- 2026
[j374]Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li:
Understanding World or Predicting Future? A Comprehensive Survey of World Models. ACM Comput. Surv. 58(3): 57:1-57:38 (2026)- [j373]Yong Li, Xiao Song, Songsong Liu, Kaiqi Gong:
A semi-supervised privacy-preserving graph classification framework enhanced by graph contrastive learning. Expert Syst. Appl. 299: 130149 (2026) - 2025
- [j372]Lei Chen, Chen Gao, Jiahuan Lei, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Privacy-preserving recommendation with coarse-grained spatiotemporal contexts. Sci. China Inf. Sci. 68(4) (2025) - [j371]Can Rong, Jingtao Ding, Yong Li:
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. ACM Comput. Surv. 57(1): 4:1-4:49 (2025) - [j370]Huiming Chen, Huandong Wang, Qingyue Long, Depeng Jin, Yong Li:
Advancements in Federated Learning: Models, Methods, and Privacy. ACM Comput. Surv. 57(2): 46:1-46:39 (2025) - [j369]Yu Zheng, Qianyue Hao, Jingwei Wang, Changzheng Gao, Jinwei Chen, Depeng Jin, Yong Li:
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare. ACM Comput. Surv. 57(4): 99:1-99:41 (2025) - [j368]Tong Li, Qingyue Long, Haoye Chai, Shiyuan Zhang, Fenyu Jiang, Haoqiang Liu, Wenzhen Huang, Depeng Jin, Yong Li:
Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications. ACM Comput. Surv. 57(6): 157:1-157:43 (2025) - [j367]Huan Yan, Yong Li:
Generative AI for Intelligent Transportation Systems: Road Transportation Perspective. ACM Comput. Surv. 57(12): 315:1-315:45 (2025) - [j366]Rui Chen, Jiazhen Liu, Yong Li, Yuming Lin:
Unveiling Multistability in Urban Traffic Through Percolation Theory and Network Analysis. Entropy 27(7): 668 (2025) - [j365]Yong Li, Xiao Song, Kaiqi Gong, Songsong Liu, Wenxin Li:
Differentially private graph neural networks for graph classification and its adaptive optimization. Expert Syst. Appl. 263: 125798 (2025) - [j364]Pengyang Shao, Kun Zhang, Chen Gao, Lei Chen, Miaomiao Cai, Le Wu, Yong Li, Meng Wang:
Breaking student-concept sparsity barrier for cognitive diagnosis. Frontiers Comput. Sci. 19(11): 1911363 (2025) - [j363]Songsong Liu, Xiao Song, Yong Li, Kaiqi Gong, Yuchun Tu:
ALPPA: An accuracy-lossless and privacy-preserving aggregation strategy for federated knowledge graph completion model. Neurocomputing 630: 129693 (2025) - [j362]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion 113: 102606 (2025) - [j361]Lei Chen, Zhenyu Chen, Wei Yang, Shi Liu, Yong Li:
From Pixels to Insights: Unsupervised Knowledge Graph Generation with Large Language Model. Inf. 16(5): 335 (2025) - [j360]Shiyuan Zhang, Haoye Chai, Yong Li, Baohua Qiu, Lei Yue, Raoyuan Pan:
PacketDiff: A Flow Guided Diffusion Model for Network Packet Trace Generation. IEEE Internet Things J. 12(18): 38804-38819 (2025) - [j359]Jie He, Xiao Song, Ming Liu, Yong Li:
AdapFedRec: A framework for enhanced federated recommendations with adaptive client aggregation and sampling. Knowl. Based Syst. 324: 113754 (2025) - [j358]Yu Zheng, Fengli Xu, Yuming Lin, Paolo Santi, Carlo Ratti, Qi Wang, Yong Li:
Urban planning in the era of large language models. Nat. Comput. Sci. 5(9): 727-736 (2025) - [j357]Yu Zheng, Fengli Xu, Yuming Lin, Paolo Santi, Carlo Ratti, Qi R. Wang, Yong Li:
Publisher Correction: Urban planning in the era of large language models. Nat. Comput. Sci. 5(11): 1091 (2025) - [j356]Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li:
Toward large reasoning models: A survey of reinforced reasoning with large language models. Patterns 6(10): 101370 (2025) - [j355]Yu Liu, Quanming Yao, Yong Li:
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition. ACM Trans. Intell. Syst. Technol. 16(3): 61:1-61:29 (2025) - [j354]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Mobility Data-Driven Privacy-Preserving Model for Detecting High-Risk Infection Cases. ACM Trans. Intell. Syst. Technol. 16(5): 110:1-110:29 (2025) - [j353]Haoqiang Liu, Weikang Su, Tong Li, Wenzhen Huang, Yong Li:
Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization. ACM Trans. Knowl. Discov. Data 19(1): 15:1-15:23 (2025) - [j352]Yuchen Wu, Huandong Wang, Changzheng Gao, Depeng Jin, Yong Li:
GeoGail: A Model-Based Imitation Learning Framework for Human Trajectory Synthesizing. ACM Trans. Knowl. Discov. Data 19(1): 20:1-20:23 (2025) - [j351]Yiwen Song, Jingtao Ding, Jian Yuan, Qingmin Liao, Yong Li:
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion. ACM Trans. Knowl. Discov. Data 19(1): 22:1-22:25 (2025) - [j350]Yuxi Huang, Huandong Wang, Guanghua Liu, Yong Li, Tao Jiang:
NeuralCODE: Neural Compartmental Ordinary Differential Equations Model with AutoML for Interpretable Epidemic Forecasting. ACM Trans. Knowl. Discov. Data 19(2): 47:1-47:18 (2025) - [j349]Zefang Zong, Tao Feng, Jingwei Wang, Tong Xia, Yong Li:
Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey. ACM Trans. Knowl. Discov. Data 19(4): 1-42 (2025) - [j348]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction. IEEE Trans. Knowl. Data Eng. 37(5): 2212-2225 (2025) - [j347]Haoye Chai, Xiaoqian Qi, Yong Li:
Spatio-Temporal Knowledge Driven Diffusion Model for Mobile Traffic Generation. IEEE Trans. Mob. Comput. 24(6): 4939-4956 (2025) - [j346]Zihan Huang, Tong Li, Xing Wang, Kexin Yang, Chao Deng, Junlan Feng, Yong Li:
Predicting Mobile App Usage With Context-Aware Dynamic Hypergraphs. IEEE Trans. Mob. Comput. 24(6): 5511-5524 (2025) - [j345]Yingtao Peng, Chen Gao, Yu Zhang, Tangpeng Dan, Xiaoyi Du, Hengliang Luo, Yong Li, Xiaofeng Meng:
Denoising Alignment with Large Language Model for Recommendation. ACM Trans. Inf. Syst. 43(2): 32:1-32:35 (2025) - [j344]Shutong Qiao, Wei Zhou, Junhao Wen, Chen Gao, Qun Luo, Peixuan Chen, Yong Li:
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. ACM Trans. Inf. Syst. 43(4): 91:1-91:25 (2025) - [j343]Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Enhancing ID-based Recommendation with Large Language Models. ACM Trans. Inf. Syst. 43(5): 112:1-112:30 (2025) - [j342]Zhiqiang Pan, Chen Gao, Fei Cai, Honghui Chen, Yong Li:
Light Dynamic Graph Learning on Temporal Networks. ACM Trans. Inf. Syst. 43(5): 138:1-138:27 (2025) - [j341]Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang:
Position-aware Graph Transformer for Recommendation. ACM Trans. Inf. Syst. 43(6): 165:1-165:24 (2025) - [j340]Rui Chen, Xiaochen Fan, Huan Yan, Fudan Yu, Yong Li:
TR-ODE: Robust Vehicle Trajectory Recovery via Seq2Seq Learning with GRU-ODE-Bayes. ACM Trans. Sens. Networks 21(6): 57:1-57:23 (2025) - [j339]Yinzhou Tang, Jinghua Piao, Huandong Wang, Yue Wang, Yong Li:
MSA-Net: A Multi-Scale Information Diffusion Model Awaring User Activity Level. ACM Trans. Web 19(2): 17:1-17:23 (2025) - [j338]Umber Saleem, Sobia Jangsher, Tong Li, Yong Li:
Profit optimized task scheduling for vehicular fog computing. Wirel. Networks 31(1): 759-777 (2025) - [c344]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. AAAI 2025: 27295-27303 - [c343]Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi Xinleishi, Hengliang Luo, Yong Li:
Open-Set Living Need Prediction with Large Language Models. ACL (Findings) 2025: 5454-5472 - [c342]Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li:
Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. ACL (1) 2025: 11571-11590 - [c341]Weichen Zhang, Chen Gao, Shiquan Yu, Ruiying Peng, Baining Zhao, Qian Zhang, Jinqiang Cui, Xinlei Chen, Yong Li:
CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory. ACL (1) 2025: 31292-31309 - [c340]Baining Zhao, Jianjie Fang, Zichao Dai, Ziyou Wang, Jirong Zha, Weichen Zhang, Chen Gao, Yue Wang, Jinqiang Cui, Xinlei Chen, Yong Li:
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces. ACL (1) 2025: 32400-32423 - [c339]Zhilong Chen, Yong Li:
The Sharply Decreasing Disruptiveness of HCI. CHI 2025: 454:1-454:24 - [c338]Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Qianyue Hao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang:
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control. CIKM 2025: 4036-4044 - [c337]Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao:
Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering. CPAL 2025: 351-372 - [c336]Siyi Liu, Chen Gao, Yong Li:
AgentHPO: Large Language Model Agent for Hyper-Parameter Optimization. CPAL 2025: 1146-1169 - [c335]Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li:
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning. ICLR 2025 - [c334]Can Rong, Jingtao Ding, Yan Liu, Yong Li:
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. ICLR 2025 - [c333]Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li:
AgentSquare: Automatic LLM Agent Search in Modular Design Space. ICLR 2025 - [c332]Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin:
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. ICLR 2025 - [c331]Peijie Liu, Fengli Xu, Yong Li:
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models. ICML 2025 - [c330]Hongyuan Su, Yu Zheng, Yuan Yuan, Yuming Lin, Depeng Jin, Yong Li:
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems. ICML 2025 - [c329]Jing Yi Wang, Nicholas Sukiennik, Jinghua Piao, Zhiqiang Pan, Chen Gao, Yong Li:
Can't Stop Scrolling: Understanding the Online Behavioral Factors and Trends of Short-Video Addiction. ICWSM 2025: 2000-2016 - [c328]Yunke Zhang, Yiran Fan, Peijie Liu, Fengli Xu, Yong Li:
Cyber Food Swamps: Investigating the Impacts of Online-to-Offline Food Delivery Platforms on Healthy Food Choices. ICWSM 2025: 2260-2272 - [c327]Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li:
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. IJCAI 2025: 3263-3271 - [c326]Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li:
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. IJCAI 2025: 9999-10007 - [c325]Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao:
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. IJCAI 2025: 11137-11140 - [c324]Jie Feng, Tianhui Liu, Yuwei Du, Siqi Guo, Yuming Lin, Yong Li:
CityGPT: Empowering Urban Spatial Cognition of Large Language Models. KDD (2) 2025: 591-602 - [c323]Qingyue Long, Yuan Yuan, Yong Li:
A Universal Model for Human Mobility Prediction. KDD (1) 2025: 894-905 - [c322]Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang:
Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. KDD (1) 2025: 1233-1243 - [c321]Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li:
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. KDD (1) 2025: 1457-1468 - [c320]Ruikun Li, Jingwen Cheng, Huandong Wang, Qingmin Liao, Yong Li:
Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder. KDD (2) 2025: 1493-1504 - [c319]Haoye Chai, Shiyuan Zhang, Xiaoqian Qi, Baohua Qiu, Yong Li:
UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization. KDD (2) 2025: 4308-4319 - [c318]Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li:
Benchmarking and Advancing Large Language Models for Local Life Services. KDD (2) 2025: 4566-4577 - [c317]Jie Feng, Jun Zhang, Tianhui Liu, Xin Zhang, Tianjian Ouyang, Junbo Yan, Yuwei Du, Siqi Guo, Yong Li:
CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks. KDD (2) 2025: 5413-5424 - [c316]Jie Feng, Yuwei Du, Jie Zhao, Yong Li:
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction. NAACL (Long Papers) 2025: 1322-1338 - [c315]Jianbo Dong, Kun Qian, Pengcheng Zhang, Zhilong Zheng, Liang Chen, Fei Feng, Yichi Xu, Yikai Zhu, Gang Lu, Xue Li, Zhihui Ren, Zhicheng Wang, Bin Luo, Peng Zhang, Yang Liu, Yanqing Chen, Yu Guan, Weicheng Wang, Chaojie Yang, Yang Zhang, Man Yuan, Hanyu Zhao, Yong Li, Zihan Zhao, Shan Li, Xianlong Zeng, Zhiping Yao, Binzhang Fu, Ennan Zhai, Wei Lin, Chao Wang, Dennis Cai:
Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production. NSDI 2025: 865-881 - [c314]Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin:
Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts. ECML/PKDD (3) 2025: 141-159 - [c313]Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi:
Artificial Intelligence for Complex Network: Potential, Methodology and Application. WWW (Companion Volume) 2025: 5-8 - [c312]Chang Liu, Huan Yan, Hongjie Sui, Haomin Wen, Yuan Yuan, Yuyang Han, Hongsen Liao, Xuetao Ding, Jinghua Hao, Yong Li:
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph. WWW (Companion Volume) 2025: 364-373 - [c311]Yu Shang, Chen Gao, Nian Li, Yong Li:
A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform. WWW (Companion Volume) 2025: 793-796 - [c310]Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng:
The International Workshop on Spatio-Temporal Data Mining from the Web. WWW (Companion Volume) 2025: 2327-2330 - [c309]Yuwei Yan, Yu Shang, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li:
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms. WWW (Companion Volume) 2025: 2963-2967 - [c308]Zhiqiang Pan, Chen Gao, Fei Cai, Wanyu Chen, Xin Zhang, Honghui Chen, Yong Li:
On the Cross-Graph Transferability of Dynamic Link Prediction. WWW 2025: 4101-4110 - [c307]Jinghua Piao, Zhihong Lu, Chen Gao, Yong Li:
Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies. WWW 2025: 5202-5211 - [c306]Yunke Zhang, Ruolong Ma, Xin Zhang, Yong Li:
Perceiving Urban Inequality from Imagery Using Visual Language Models with Chain-of-Thought Reasoning. WWW 2025: 5342-5351 - [c305]Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li:
Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. WWW 2025: 5352-5363 - [i292]Jinghua Piao, Zhihong Lu, Chen Gao, Fengli Xu, Fernando P. Santos, Yong Li, James Evans:
Emergence of human-like polarization among large language model agents. CoRR abs/2501.05171 (2025) - [i291]En Xu, Can Rong, Jingtao Ding, Yong Li:
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History. CoRR abs/2501.06485 (2025) - [i290]Huandong Wang, Wenjie Fu, Yingzhou Tang, Zhilong Chen, Yuxi Huang, Jinghua Piao, Chen Gao, Fengli Xu, Tao Jiang, Yong Li:
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy. CoRR abs/2501.09431 (2025) - [i289]Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li:
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. CoRR abs/2501.09686 (2025) - [i288]Qingyue Long, Can Rong, Huandong Wang, Yong Li:
One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion. CoRR abs/2501.13347 (2025) - [i287]Zhi Sheng, Yuan Yuan, Jingtao Ding, Yong Li:
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. CoRR abs/2501.13794 (2025) - [i286]Yu Shang, Chen Gao, Nian Li, Yong Li:
A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform. CoRR abs/2502.05922 (2025) - [i285]Jinghua Piao, Yuwei Yan, Jun Zhang, Nian Li, Junbo Yan, Xiaochong Lan, Zhihong Lu, Zhiheng Zheng, Jing Yi Wang, Di Zhou, Chen Gao, Fengli Xu, Fang Zhang, Ke Rong, Jun Su, Yong Li:
AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society. CoRR abs/2502.08691 (2025) - [i284]Zhi Sheng, Yuan Yuan, Yudi Zhang, Depeng Jin, Yong Li:
Collaborative Deterministic-Diffusion Model for Probabilistic Urban Spatiotemporal Prediction. CoRR abs/2502.11013 (2025) - [i283]Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li:
Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. CoRR abs/2502.11859 (2025) - [i282]Yinan Chen, Jiangning Zhang, Yali Bi, Xiaobin Hu, Teng Hu, Zhucun Xue, Ran Yi, Yong Li, Ying Tai:
Image Inversion: A Survey from GANs to Diffusion and Beyond. CoRR abs/2502.11974 (2025) - [i281]Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang:
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. CoRR abs/2502.12532 (2025) - [i280]Yu Meng, Kaiyuan Li, Chenran Huang, Chen Gao, Xinlei Chen, Yong Li, Xiaoping Zhang:
PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models. CoRR abs/2502.14504 (2025) - [i279]Ruiying Peng, Kaiyuan Li, Weichen Zhang, Chen Gao, Xinlei Chen, Yong Li:
Understanding and Evaluating Hallucinations in 3D Visual Language Models. CoRR abs/2502.15888 (2025) - [i278]Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li:
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning. CoRR abs/2502.16828 (2025) - [i277]Hongyi Chen, Jingtao Ding, Jianhai Shu, Xinchun Yu, Xiaojun Liang, Yong Li, Xiao-Ping Zhang:
Sample-efficient diffusion-based control of complex nonlinear systems. CoRR abs/2502.17893 (2025) - [i276]Hongyi Chen, Jingtao Ding, Xiaojun Liang, Yong Li, Xiao-Ping Zhang:
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data. CoRR abs/2502.17928 (2025) - [i275]Yuwei Yan, Yu Shang, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li:
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms. CoRR abs/2502.18754 (2025) - [i274]Yinzhou Tang, Jinghua Piao, Huandong Wang, Shaw Rajib, Yong Li:
Predicting Cascade Failures in Interdependent Urban Infrastructure Networks. CoRR abs/2503.02890 (2025) - [i273]Bingbing Fan, Lin Chen, Songwei Li, Jian Yuan, Fengli Xu, Pan Hui, Yong Li:
Invisible Walls in Cities: Leveraging Large Language Models to Predict Urban Segregation Experience with Social Media Content. CoRR abs/2503.04773 (2025) - [i272]Yu Zhang, Shutong Qiao, Jiaqi Zhang, Tzu-Heng Lin, Chen Gao, Yong Li:
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval. CoRR abs/2503.05659 (2025) - [i271]Baining Zhao, Jianjie Fang, Zichao Dai, Ziyou Wang, Jirong Zha, Weichen Zhang, Chen Gao, Yue Wang, Jinqiang Cui, Xinlei Chen, Yong Li:
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces. CoRR abs/2503.06157 (2025) - [i270]Tao Feng, Yunke Zhang, Huandong Wang, Yong Li:
EPR-GAIL: An EPR-Enhanced Hierarchical Imitation Learning Framework to Simulate Complex User Consumption Behaviors. CoRR abs/2503.06392 (2025) - [i269]Tao Feng, Yunke Zhang, Xiaochen Fan, Huandong Wang, Yong Li:
Causal Discovery and Inference towards Urban Elements and Associated Factors. CoRR abs/2503.06395 (2025) - [i268]Tao Feng, Yunke Zhang, Huandong Wang, Yong Li:
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities. CoRR abs/2503.06398 (2025) - [i267]Weichen Zhan, Zile Zhou, Zhiheng Zheng, Chen Gao, Jinqiang Cui, Yong Li, Xinlei Chen, Xiao-Ping Zhang:
Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space. CoRR abs/2503.11094 (2025) - [i266]Qingyue Long, Can Rong, Huandong Wang, Shaw Rajib, Yong Li:
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model. CoRR abs/2503.18302 (2025) - [i265]Weichen Zhang, Ruiying Peng, Chen Gao, Jianjie Fang, Xin Zeng, Kaiyuan Li, Ziyou Wang, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li:
The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? CoRR abs/2504.04540 (2025) - [i264]Nicholas Sukiennik, Haoyu Wang, Zailin Zeng, Chen Gao, Yong Li:
Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents. CoRR abs/2504.08742 (2025) - [i263]Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li:
An Evaluation of Cultural Value Alignment in LLM. CoRR abs/2504.08863 (2025) - [i262]Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu, Yong Zhao, Yong Li, Quanjun Yin:
GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation. CoRR abs/2504.09587 (2025) - [i261]Jie Feng, Jinwei Zeng, Qingyue Long, Hongyi Chen, Jie Zhao, Yanxin Xi, Zhilun Zhou, Yuan Yuan, Shengyuan Wang, Qingbin Zeng, Songwei Li, Yunke Zhang, Yuming Lin, Tong Li, Jingtao Ding, Chen Gao, Fengli Xu, Yong Li:
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science. CoRR abs/2504.09848 (2025) - [i260]Yuan Yuan, Yuheng Zhang, Jingtao Ding, Yong Li:
WorldMove, a global open data for human mobility. CoRR abs/2504.10506 (2025) - [i259]Baining Zhao, Ziyou Wang, Jianjie Fang, Chen Gao, Fanhang Man, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li, Wenwu Zhu:
Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning. CoRR abs/2504.12680 (2025) - [i258]Yu Zheng, Longyi Liu, Yuming Lin, Jie Feng, Guozhen Zhang, Depeng Jin, Yong Li:
UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models. CoRR abs/2504.21027 (2025) - [i257]Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services. CoRR abs/2505.00375 (2025) - [i256]Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions. CoRR abs/2505.00402 (2025) - [i255]Ruikun Li, Jingwen Cheng, Huandong Wang, Qingmin Liao, Yong Li:
Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder. CoRR abs/2505.02450 (2025) - [i254]Weichen Zhang, Chen Gao, Shiquan Yu, Ruiying Peng, Baining Zhao, Qian Zhang, Jinqiang Cui, Xinlei Chen, Yong Li:
CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory. CoRR abs/2505.05622 (2025) - [i253]Zefang Zong, Xiaochen Wei, Guozhen Zhang, Chen Gao, Huandong Wang, Yong Li:
UniCO: Towards a Unified Model for Combinatorial Optimization Problems. CoRR abs/2505.06290 (2025) - [i252]Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin, Yong Li:
Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology. CoRR abs/2505.08765 (2025) - [i251]Chang Liu, Huan Yan, Hongjie Sui, Haomin Wen, Yuan Yuan, Yuyang Han, Hongsen Liao, Xuetao Ding, Jinghua Hao, Yong Li:
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph. CoRR abs/2505.11999 (2025) - [i250]Jirong Zha, Yuxuan Fan, Kai Li, Han Li, Chen Gao, Xinlei Chen, Yong Li:
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking. CoRR abs/2505.12340 (2025) - [i249]Ruikun Li, Huandong Wang, Jingtao Ding, Yuan Yuan, Qingmin Liao, Yong Li:
Predicting Dynamical Systems across Environments via Diffusive Model Weight Generation. CoRR abs/2505.13919 (2025) - [i248]Qianyue Hao, Sibo Li, Jian Yuan, Yong Li:
RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement Learning. CoRR abs/2505.14140 (2025) - [i247]Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li:
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models. CoRR abs/2505.15293 (2025) - [i246]Can Rong, Xin Zhang, Yanxin Xi, Hongjie Sui, Jingtao Ding, Yong Li:
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities. CoRR abs/2505.15870 (2025) - [i245]Mengzhu Liu, Zhengqiu Zhu, Chuan Ai, Chen Gao, Xinghong Li, Lingnan He, Kaisheng Lai, Yingfeng Chen, Xin Lu, Yong Li, Quanjun Yin:
Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events. CoRR abs/2505.16455 (2025) - [i244]Can Rong, Jingtao Ding, Meng Liu, Yong Li:
A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development. CoRR abs/2505.17111 (2025) - [i243]Jingwen Cheng, Ruikun Li, Huandong Wang, Yong Li:
Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems. CoRR abs/2505.17459 (2025) - [i242]Haoxin Li, Jingtao Ding, Jiahui Gong, Yong Li:
Large language model as user daily behavior data generator: balancing population diversity and individual personality. CoRR abs/2505.17615 (2025) - [i241]Jiahui Gong, Jingtao Ding, Fanjin Meng, Chen Yang, Hong Chen, Zuojian Wang, Haisheng Lu, Yong Li:
BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling. CoRR abs/2505.17631 (2025) - [i240]Fanjin Meng, Jingtao Ding, Jiahui Gong, Chen Yang, Hong Chen, Zuojian Wang, Haisheng Lu, Yong Li:
Tuning Language Models for Robust Prediction of Diverse User Behaviors. CoRR abs/2505.17682 (2025) - [i239]Jiazhen Liu, Ruikun Li, Huandong Wang, Zihan Yu, Chang Liu, Jingtao Ding, Yong Li:
Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems. CoRR abs/2505.18621 (2025) - [i238]Chonghua Han, Yuan Yuan, Kaiyan Chen, Jingtao Ding, Yong Li:
TrajMoE: Spatially-Aware Mixture of Experts for Unified Human Mobility Modeling. CoRR abs/2505.18670 (2025) - [i237]Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li:
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems. CoRR abs/2505.19623 (2025) - [i236]Kaiyuan Li, Xiaoyue Chen, Chen Gao, Yong Li, Xinlei Chen:
Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization. CoRR abs/2505.22038 (2025) - [i235]Chang Liu, Bohao Zhao, Jingtao Ding, Huandong Wang, Yong Li:
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting. CoRR abs/2505.23863 (2025) - [i234]Tianhui Liu, Jie Feng, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li:
CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing. CoRR abs/2506.00530 (2025) - [i233]Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong Li:
Open-Set Living Need Prediction with Large Language Models. CoRR abs/2506.02713 (2025) - [i232]Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li:
Benchmarking and Advancing Large Language Models for Local Life Services. CoRR abs/2506.02720 (2025) - [i231]Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li:
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. CoRR abs/2506.03224 (2025) - [i230]Keyu Zhao, Fengli Xu, Yong Li:
Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation. CoRR abs/2506.05069 (2025) - [i229]Chenyang Shao, Xinyang Liu, Yutang Lin, Fengli Xu, Yong Li:
Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router. CoRR abs/2506.05901 (2025) - [i228]Qingbin Zeng, Ruotong Zhao, Jinzhu Mao, Haoyang Li, Fengli Xu, Yong Li:
CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents. CoRR abs/2506.05981 (2025) - [i227]Peijie Liu, Fengli Xu, Yong Li:
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models. CoRR abs/2506.06008 (2025) - [i226]Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu, Yong Li:
AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search. CoRR abs/2506.06017 (2025) - [i225]Lin Chen, Yunke Zhang, Jie Feng, Haoye Chai, Honglin Zhang, Bingbing Fan, Yibo Ma, Shiyuan Zhang, Nian Li, Tianhui Liu, Nicholas Sukiennik, Keyu Zhao, Yu Li, Ziyi Liu, Fengli Xu, Yong Li:
AI Agent Behavioral Science. CoRR abs/2506.06366 (2025) - [i224]Yu Guan, Zhiyu Yin, Haoyu Chen, Sheng Cheng, Chaojie Yang, Kun Qian, Tianyin Xu, Yang Zhang, Hanyu Zhao, Yong Li, Wei Lin, Dennis Cai, Ennan Zhai:
PerfTracker: Online Performance Troubleshooting for Large-scale Model Training in Production. CoRR abs/2506.08528 (2025) - [i223]Yuwei Du, Jie Feng, Jian Yuan, Yong Li:
CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation. CoRR abs/2506.13599 (2025) - [i222]En Xu, Huandong Wang, Yunke Zhang, Sibo Li, Yinzhou Tang, Zhilun Zhou, Yuming Lin, Yuan Yuan, Xiaochen Fan, Jingtao Ding, Yong Li:
A Survey of Physics-Informed AI for Complex Urban Systems. CoRR abs/2506.13777 (2025) - [i221]Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao:
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. CoRR abs/2506.14529 (2025) - [i220]Chenyang Shao, Tianxing Li, Chenhao Pu, Fengli Xu, Yong Li:
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text. CoRR abs/2506.22508 (2025) - [i219]Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li:
RoboScape: Physics-informed Embodied World Model. CoRR abs/2506.23135 (2025) - [i218]Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li:
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding. CoRR abs/2506.23219 (2025) - [i217]Yu Zheng, Jingtao Ding, Depeng Jin, Jianxi Gao, Yong Li:
Advancing network resilience theories with symbolized reinforcement learning. CoRR abs/2507.08827 (2025) - [i216]Baining Zhao, Rongze Tang, Mingyuan Jia, Ziyou Wang, Fanghang Man, Xin Zhang, Yu Shang, Weichen Zhang, Chen Gao, Wei Wu, Xin Wang, Xinlei Chen, Yong Li:
AirScape: An Aerial Generative World Model with Motion Controllability. CoRR abs/2507.08885 (2025) - [i215]Haoye Chai, Yuan Yuan, Yong Li:
MobiWorld: World Models for Mobile Wireless Network. CoRR abs/2507.09462 (2025) - [i214]Jiaao Li, Kaiyuan Li, Chen Gao, Yong Li, Xinlei Chen:
EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent. CoRR abs/2507.15428 (2025) - [i213]Shengyuan Wang, Jie Feng, Tianhui Liu, Dan Pei, Yong Li:
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning. CoRR abs/2507.19586 (2025) - [i212]Yinzhou Tang, Huandong Wang, Xiaochen Fan, Yong Li:
Predicting Human Mobility in Disasters via LLM-Enhanced Cross-City Learning. CoRR abs/2507.19737 (2025) - [i211]Qinglong Yang, Haoming Li, Haotian Zhao, Xiaokai Yan, Jingtao Ding, Fengli Xu, Yong Li:
FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents. CoRR abs/2507.21071 (2025) - [i210]Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao, Yong Li:
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network. CoRR abs/2508.00451 (2025) - [i209]Chonghua Han, Yuan Yuan, Yukun Liu, Jingtao Ding, Jie Feng, Yong Li:
UniMove: A Unified Model for Multi-city Human Mobility Prediction. CoRR abs/2508.06986 (2025) - [i208]Yuwei Yan, Jinghua Piao, Xiaochong Lan, Chenyang Shao, Pan Hui, Yong Li:
Simulating Generative Social Agents via Theory-Informed Workflow Design. CoRR abs/2508.08726 (2025) - [i207]Nicholas Sukiennik, Yichuan Xu, Yuqing Kan, Jinghua Piao, Yuwei Yan, Chen Gao, Yong Li:
The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents. CoRR abs/2508.08837 (2025) - [i206]Zhilun Zhou, Jing Yi Wang, Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li, James Evans:
Rationality Check! Benchmarking the Rationality of Large Language Models. CoRR abs/2509.14546 (2025) - [i205]Xiaoqian Qi, Haoye Chai, Yong Li:
MobiGPT: A Foundation Model for Mobile Wireless Networks. CoRR abs/2509.18166 (2025) - [i204]Sibo Li, Qianyue Hao, Yu Shang, Yong Li:
KeyWorld: Key Frame Reasoning Enables Effective and Efficient World Models. CoRR abs/2509.21027 (2025) - [i203]Honglin Zhang, Qianyue Hao, Fengli Xu, Yong Li:
Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs. CoRR abs/2509.21044 (2025) - [i202]Zihan Yu, Guanren Wang, Jingtao Ding, Huandong Wang, Yong Li:
Beyond Formula Complexity: Effective Information Criterion Improves Performance and Interpretability for Symbolic Regression. CoRR abs/2509.21780 (2025) - [i201]Yu Shang, Lei Jin, Yiding Ma, Xin Zhang, Chen Gao, Wei Wu, Yong Li:
LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE. CoRR abs/2509.21790 (2025) - [i200]Chang Liu, Bohao Zhao, Jingtao Ding, Yong Li:
ChaosNexus: A Foundation Model for Universal Chaotic System Forecasting with Multi-scale Representations. CoRR abs/2509.21802 (2025) - [i199]Xiaochong Lan, Yu Zheng, Shiteng Cao, Yong Li:
The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging. CoRR abs/2509.22034 (2025) - [i198]Fanjin Meng, Yuan Yuan, Jingtao Ding, Jie Feng, Chonghua Han, Yong Li:
MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning. CoRR abs/2509.22403 (2025) - [i197]Wanjin Feng, Yuan Yuan, Jingtao Ding, Yong Li:
Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting. CoRR abs/2509.23074 (2025) - [i196]Zhaoyi Li, Jingtao Ding, Yong Li, Shihua Li:
Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions. CoRR abs/2510.02081 (2025) - [i195]Houcheng Jiang, Junfeng Fang, Jiaxin Wu, Tianyu Zhang, Chen Gao, Yong Li, Xiang Wang, Xiangnan He, Yang Deng:
Contrastive Weak-to-strong Generalization. CoRR abs/2510.07884 (2025) - [i194]Shihe Zhou, Ruikun Li, Huandong Wang, Yong Li:
Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching. CoRR abs/2510.07957 (2025) - [i193]Xiaochong Lan, Jie Feng, Yinxing Liu, Xinlei Shi, Yong Li:
AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment. CoRR abs/2510.08081 (2025) - [i192]Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang, Xiaobin Hu, Yong Li, Jiangning Zhang:
LLM-Oriented Token-Adaptive Knowledge Distillation. CoRR abs/2510.11615 (2025) - [i191]Tianhui Liu, Hetian Pang, Xin Zhang, Jie Feng, Yong Li, Pan Hui:
CityRiSE: Reasoning Urban Socio-Economic Status in Vision-Language Models via Reinforcement Learning. CoRR abs/2510.22282 (2025) - [i190]Chenyang Shao, Sijian Ren, Fengli Xu, Yong Li:
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning. CoRR abs/2510.27469 (2025) - [i189]Keyu Zhao, Weiquan Lin, Qirui Zheng, Fengli Xu, Yong Li:
Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network. CoRR abs/2511.02238 (2025) - [i188]Yu Li, Lehui Li, Qingmin Liao, Fengli Xu, Yong Li:
AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent. CoRR abs/2511.04921 (2025) - [i187]Hongyi Chen, Jianhai Shu, Jingtao Ding, Yong Li, Xiao-Ping Zhang:
PID-controlled Langevin Dynamics for Faster Sampling of Generative Models. CoRR abs/2511.12603 (2025) - [i186]Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang:
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. CoRR abs/2511.13041 (2025) - [i185]Xiaoyue Chen, Yuling Shi, Kaiyuan Li, Huandong Wang, Yong Li, Xiaodong Gu, Xinlei Chen, Mingbao Lin:
Progressive Supernet Training for Efficient Visual Autoregressive Modeling. CoRR abs/2511.16546 (2025) - [i184]Chenyang Shao, Dehao Huang, Yu Li, Keyu Zhao, Weiquan Lin, Yining Zhang, Qingbin Zeng, Zhiyu Chen, Tianxing Li, Yifei Huang, Taozhong Wu, Xinyang Liu, Ruotong Zhao, Mengsheng Zhao, Jiaoyang Li, Xuhua Zhang, Yue Wang, Yuanyi Zhen, Fengli Xu, Yong Li, Tie-Yan Liu:
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists. CoRR abs/2511.16931 (2025) - [i183]Qingbin Zeng, Bingbing Fan, Zhiyu Chen, Sijian Ren, Zhilun Zhou, Xuhua Zhang, Yuanyi Zhen, Fengli Xu, Yong Li, Tie-Yan Liu:
MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists. CoRR abs/2511.16997 (2025) - [i182]Xiaoqian Qi, Haoye Chai, Sichang Liu, Lei Yue, Raoyuan Pan, Yue Wang, Yong Li:
Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic. CoRR abs/2511.17532 (2025) - [i181]Shengyuan Wang, Zhiheng Zheng, Yu Shang, Lixuan He, Yangcheng Yu, Fan Hangyu, Jie Feng, Qingmin Liao, Yong Li:
RAISECity: A Multimodal Agent Framework for Reality-Aligned 3D World Generation at City-Scale. CoRR abs/2511.18005 (2025) - [i180]Jun Zhang, Jie Feng, Long Chen, Junhui Wang, Zhicheng Liu, Depeng Jin, Yong Li:
RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios. CoRR abs/2511.18011 (2025) - 2024
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Graph neural ordinary differential equations for epidemic forecasting. CCF Trans. Pervasive Comput. Interact. 6(3): 281-295 (2024) - [j336]Ming Liu, Xiao Song, Yong Li, Wenxin Li:
Correlated differential privacy based logistic regression for supplier data protection. Comput. Secur. 136: 103542 (2024) - [j335]Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li:
Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. ACM Comput. Surv. 56(12): 307:1-307:38 (2024) - [j334]Rui Chen, Yuming Lin, Huan Yan, Jiazhen Liu, Yu Liu, Yong Li:
Scaling law of real traffic jams under varying travel demand. EPJ Data Sci. 13(1): 30 (2024) - [j333]Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He:
How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. 18(5): 185603 (2024) - [j332]Shiyuan Zhang, Tong Li, Depeng Jin, Yong Li:
NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation. Proc. ACM Netw. 2(CoNEXT3): 16:1-16:21 (2024) - [j331]Chi-Jen Roger Lo, Mahesh K. Marina, Nishanth Sastry, Kai Xu, Saeed Fadaei, Yong Li:
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 7:1-7:34 (2024) - [j330]Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, Fan Yang, Funing Sun, Yong Li:
Demand-driven Urban Facility Visit Prediction. ACM Trans. Intell. Syst. Technol. 15(2): 21:1-21:24 (2024) - [j329]Zefang Zong, Tong Xia, Meng Zheng, Yong Li:
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window. ACM Trans. Intell. Syst. Technol. 15(2): 32:1-32:19 (2024) - [j328]Fenyu Jiang, Huandong Wang, Yong Li:
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory. ACM Trans. Intell. Syst. Technol. 15(2): 34:1-34:25 (2024) - [j327]Jinwei Zeng, Guozhen Zhang, Jian Yuan, Yong Li, Depeng Jin:
Empowering Predictive Modeling by GAN-based Causal Information Learning. ACM Trans. Intell. Syst. Technol. 15(3): 54:1-54:19 (2024) - [j326]Fudan Yu, Guozhen Zhang, Haotian Wang, Depeng Jin, Yong Li:
Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework. ACM Trans. Intell. Syst. Technol. 15(5): 96:1-96:25 (2024) - [j325]Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang:
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. ACM Trans. Intell. Syst. Technol. 15(5): 101:1-101:27 (2024) - [j324]Jiahui Gong, Tong Li, Huandong Wang, Yu Liu, Xing Wang, Zhendong Wang, Chao Deng, Junlan Feng, Depeng Jin, Yong Li:
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction. ACM Trans. Intell. Syst. Technol. 15(6): 123:1-123:22 (2024) - [j323]Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction. ACM Trans. Intell. Syst. Technol. 15(6): 124:1-124:21 (2024) - [j322]Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin:
Urban Knowledge Graph Aided Mobile User Profiling. ACM Trans. Knowl. Discov. Data 18(1): 28:1-28:30 (2024) - [j321]Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin:
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Trans. Knowl. Discov. Data 18(3): 53:1-53:22 (2024) - [j320]Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li:
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. ACM Trans. Knowl. Discov. Data 18(6): 150:1-150:17 (2024) - [j319]Hongjie Sui, Huan Yan, Tianyi Zheng, Wenzhen Huang, Yunlin Zhuang, Yong Li:
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search. ACM Trans. Knowl. Discov. Data 18(7): 179 (2024) - [j318]Tong Li, Shuodi Hui, Shiyuan Zhang, Huandong Wang, Yuheng Zhang, Pan Hui, Depeng Jin, Yong Li:
Mobile User Traffic Generation Via Multi-Scale Hierarchical GAN. ACM Trans. Knowl. Discov. Data 18(8): 189:1-189:19 (2024) - [j317]Qiaohong Yu, Huandong Wang, Yu Liu, Depeng Jin, Yong Li, Lin Zhu, Junlan Feng:
Mobility Prediction via Rule-enhanced Knowledge Graph. ACM Trans. Knowl. Discov. Data 18(9): 215:1-215:21 (2024) - [j316]Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li:
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42(1): 18:1-18:24 (2024) - [j315]Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. 42(2): 44:1-44:24 (2024) - [j314]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. ACM Trans. Inf. Syst. 42(3): 82:1-82:29 (2024) - [j313]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42(4): 88:1-88:32 (2024) - [j312]Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang:
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 140:1-140:26 (2024) - [j311]Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li:
Spatio-temporal Dual Graph Neural Networks for Travel Time Estimation. ACM Trans. Spatial Algorithms Syst. 10(3): 23:1-23:22 (2024) - [c304]Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. AAAI 2024: 474-482 - [c303]Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li:
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. AAAI 2024: 22493-22501 - [c302]Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li:
UV-SAM: Adapting Segment Anything Model for Urban Village Identification. AAAI 2024: 22520-22528 - [c301]Nian Li, Chen Gao, Mingyu Li, Yong Li, Qingmin Liao:
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. ACL (1) 2024: 15523-15536 - [c300]Yibo Ma, Tong Li, Yuwei Du, Schahram Dustdar, Zhaocheng Wang, Yong Li:
Sustainable Connections: Exploring Energy Efficiency in 5G Networks. CoNEXT (Short Papers) 2024: 33-40 - [c299]Sibo Li, Xin Zhang, Yuming Lin, Yong Li:
M3 LUC: Multi-modal Model for Urban Land-Use Classification. SIGSPATIAL/GIS 2024: 270-281 - [c298]Xiaoqian Qi, Haoye Chai, Li Yu, Yong Li, Zhaocheng Wang:
Regional Features Conditioned Diffusion Models for 5G Network Traffic Generation. SIGSPATIAL/GIS 2024: 396-409 - [c297]Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services. SIGSPATIAL/GIS 2024: 432-443 - [c296]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. SIGSPATIAL/GIS 2024: 553-556 - [c295]Zhenyu Han, Xin Zhang, Yanxin Xi, Yan Luo, Tong Xia, Yong Li:
GUI: A Comprehensive Dataset of Global Urban Infrastructure Based on Geospatial Visual Foundation Models. SIGSPATIAL/GIS 2024: 701-704 - [c294]Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li:
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR 2024 - [c293]Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao:
Understanding Expressivity of GNN in Rule Learning. ICLR 2024 - [c292]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM 2024: 891-903 - [c291]Lin Chen, Yong Li, Pan Hui:
VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States. IJCAI 2024: 7206-7214 - [c290]Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li:
Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery. IJCAI 2024: 7349-7357 - [c289]Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li:
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas. IJCAI 2024: 7509-7517 - [c288]Lin Chen, Fengli Xu, Nian Li, Zhenyu Han, Meng Wang, Yong Li, Pan Hui:
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network. KDD 2024: 307-318 - [c287]Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li:
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. KDD 2024: 896-907 - [c286]Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li:
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. KDD 2024: 1655-1666 - [c285]Chang Liu, Jingtao Ding, Yiwen Song, Yong Li:
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. KDD 2024: 1875-1886 - [c284]Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li:
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD 2024: 3128-3139 - [c283]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD 2024: 4095-4106 - [c282]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. NeurIPS 2024 - [c281]Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li:
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction. NeurIPS 2024 - [c280]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM 2024: 370-378 - [c279]Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao:
Modeling User Fatigue for Sequential Recommendation. SIGIR 2024: 996-1005 - [c278]Chi-Jen Roger Lo, Mahesh K. Marina, Nishanth Sastry, Kai Xu, Saeed Fadaei, Yong Li:
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport. SIGMETRICS/Performance (Abstracts) 2024: 75-76 - [c277]Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM 2024: 396-404 - [c276]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang:
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM 2024: 405-413 - [c275]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) 2024: 650-653 - [c274]Ziyi Liu, Huandong Wang, Yong Li:
Understanding Deployment Experience of 5G. WWW (Companion Volume) 2024: 742-745 - [c273]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. WWW (Companion Volume) 2024: 814-817 - [c272]Haoye Chai, Tong Li, Fenyu Jiang, Shiyuan Zhang, Yong Li:
Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation. WWW (Companion Volume) 2024: 851-854 - [c271]Tianjian Ouyang, Xin Zhang, Zhenyu Han, Yu Shang, Yong Li:
Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images. WWW (Companion Volume) 2024: 1142-1145 - [c270]Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li:
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) 2024: 1290-1293 - [c269]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li:
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW 2024: 4697-4705 - [i179]Xin Zhang, Yu Liu, Yuming Lin, Qingming Liao, Yong Li:
UV-SAM: Adapting Segment Anything Model for Urban Village Identification. CoRR abs/2401.08083 (2024) - [i178]Zhilun Zhou, Yuming Lin, Yong Li:
Large language model empowered participatory urban planning. CoRR abs/2402.01698 (2024) - [i177]Siyi Liu, Chen Gao, Yong Li:
Large Language Model Agent for Hyper-Parameter Optimization. CoRR abs/2402.01881 (2024) - [i176]Yu Shang, Yu Li, Fengli Xu, Yong Li:
DefInt: A Default-interventionist Framework for Efficient Reasoning with Hybrid Large Language Models. CoRR abs/2402.02563 (2024) - [i175]Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li:
Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data. CoRR abs/2402.05153 (2024) - [i174]Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. CoRR abs/2402.06680 (2024) - [i173]Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Yong Li:
Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models. CoRR abs/2402.09836 (2024) - [i172]Lin Chen, Fengli Xu, Nian Li, Zhenyu Han, Meng Wang, Yong Li, Pan Hui:
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network. CoRR abs/2402.11518 (2024) - [i171]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. CoRR abs/2402.11838 (2024) - [i170]Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li:
A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. CoRR abs/2402.11922 (2024) - [i169]Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li:
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR abs/2402.13840 (2024) - [i168]Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li:
Artificial Intelligence for Complex Network: Potential, Methodology and Application. CoRR abs/2402.16887 (2024) - [i167]Zhilun Zhou, Yuming Lin, Depeng Jin, Yong Li:
Large Language Model for Participatory Urban Planning. CoRR abs/2402.17161 (2024) - [i166]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR abs/2402.19348 (2024) - [i165]Jinzhu Mao, Dongyun Zou, Li Sheng, Siyi Liu, Chen Gao, Yue Wang, Yong Li:
Identify Critical Nodes in Complex Network with Large Language Models. CoRR abs/2403.03962 (2024) - [i164]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR abs/2403.09197 (2024) - [i163]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR abs/2403.09217 (2024) - [i162]Xiaochong Lan, Yiming Cheng, Li Sheng, Chen Gao, Yong Li:
Depression Detection on Social Media with Large Language Models. CoRR abs/2403.10750 (2024) - [i161]Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao:
Modeling User Fatigue for Sequential Recommendation. CoRR abs/2405.11764 (2024) - [i160]Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li:
MOSS: A Large-scale Open Microscopic Traffic Simulation System. CoRR abs/2405.12520 (2024) - [i159]Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng:
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. CoRR abs/2405.19730 (2024) - [i158]Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao:
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. CoRR abs/2406.01145 (2024) - [i157]Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang:
CityLight: A Universal Model Towards Real-world City-scale Traffic Signal Control Coordination. CoRR abs/2406.02126 (2024) - [i156]Jun Zhang, Wenxuan Ao, Junbo Yan, Depeng Jin, Yong Li:
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking. CoRR abs/2406.10661 (2024) - [i155]Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li:
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas. CoRR abs/2406.11282 (2024) - [i154]Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li:
CityBench: Evaluating the Capabilities of Large Language Model as World Model. CoRR abs/2406.13945 (2024) - [i153]Jie Feng, Yuwei Du, Tianhui Liu, Siqi Guo, Yuming Lin, Yong Li:
CityGPT: Empowering Urban Spatial Cognition of Large Language Models. CoRR abs/2406.13948 (2024) - [i152]Yuheng Zhang, Tianjian Ouyang, Fudan Yu, Cong Ma, Lei Qiao, Wei Wu, Jian Yuan, Yong Li:
LCSim: A Large-Scale Controllable Traffic Simulator. CoRR abs/2406.19781 (2024) - [i151]Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li:
UrbanWorld: An Urban World Model for 3D City Generation. CoRR abs/2407.11965 (2024) - [i150]Can Rong, Jingtao Ding, Yan Liu, Yong Li:
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR abs/2407.15823 (2024) - [i149]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR abs/2407.16729 (2024) - [i148]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. CoRR abs/2408.08661 (2024) - [i147]Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li:
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. CoRR abs/2408.09815 (2024) - [i146]Chang Liu, Jingtao Ding, Yiwen Song, Yong Li:
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. CoRR abs/2408.09825 (2024) - [i145]Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li:
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. CoRR abs/2408.09845 (2024) - [i144]Jie Feng, Yuwei Du, Jie Zhao, Yong Li:
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework. CoRR abs/2408.13986 (2024) - [i143]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. CoRR abs/2409.01588 (2024) - [i142]Yunke Zhang, Yiran Fan, Peijie Liu, Fengli Xu, Yong Li:
Cyber Food Swamps: Investigating the Impacts of Online-to-Offline Food Delivery Platforms on Healthy Food Choices. CoRR abs/2409.16601 (2024) - [i141]Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li:
AgentSquare: Automatic LLM Agent Search in Modular Design Space. CoRR abs/2410.06153 (2024) - [i140]Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li:
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction. CoRR abs/2410.09112 (2024) - [i139]Chen Gao, Baining Zhao, Weichen Zhang, Jinzhu Mao, Jun Zhang, Zhiheng Zheng, Fanhang Man, Jianjie Fang, Zile Zhou, Jinqiang Cui, Xinlei Chen, Yong Li:
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment. CoRR abs/2410.09604 (2024) - [i138]Haoye Chai, Shiyuan Zhang, Xiaoqian Qi, Yong Li:
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model. CoRR abs/2410.15322 (2024) - [i137]Zhilong Chen, Peijie Liu, Jinghua Piao, Fengli Xu, Yong Li:
Shorter Is Different: Characterizing the Dynamics of Short-Form Video Platforms. CoRR abs/2410.16058 (2024) - [i136]Xiaoqian Qi, Haoye Chai, Yong Li:
Physics-driven AI for Channel Estimation in Cellular Network. CoRR abs/2410.17525 (2024) - [i135]Yuwei Du, Jie Feng, Jie Zhao, Yong Li:
TrajAgent: An Agent Framework for Unified Trajectory Modelling. CoRR abs/2410.20445 (2024) - [i134]Yuwei Yan, Qingbin Zeng, Zhiheng Zheng, Jingzhe Yuan, Jie Feng, Jun Zhang, Fengli Xu, Yong Li:
OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents. CoRR abs/2410.21286 (2024) - [i133]Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li:
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN. CoRR abs/2411.00028 (2024) - [i132]Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Enhancing ID-based Recommendation with Large Language Models. CoRR abs/2411.02041 (2024) - [i131]Zihan Yu, Jingtao Ding, Yong Li:
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. CoRR abs/2411.03753 (2024) - [i130]Yu Liu, Shu Yang, Jingtao Ding, Quanming Yao, Yong Li:
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling. CoRR abs/2411.06191 (2024) - [i129]Shutong Qiao, Chen Gao, Yong Li, Hongzhi Yin:
LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation. CoRR abs/2411.09410 (2024) - [i128]Yuan Yuan, Chonghua Han, Jingtao Ding, Depeng Jin, Yong Li:
UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning. CoRR abs/2411.12164 (2024) - [i127]Yuan Yuan, Jingtao Ding, Chonghua Han, Depeng Jin, Yong Li:
A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction. CoRR abs/2411.12972 (2024) - [i126]Jing Yi Wang, Nicholas Sukiennik, Tong Li, Weikang Su, Qianyue Hao, Jingbo Xu, Zihan Huang, Fengli Xu, Yong Li:
A Survey on Human-Centric LLMs. CoRR abs/2411.14491 (2024) - [i125]Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li:
Understanding World or Predicting Future? A Comprehensive Survey of World Models. CoRR abs/2411.14499 (2024) - [i124]Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li:
Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. CoRR abs/2412.05000 (2024) - [i123]Haiyang Jiang, Tong Chen, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui:
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. CoRR abs/2412.05534 (2024) - [i122]Jiangning Zhang, Teng Hu, Haoyang He, Zhucun Xue, Yabiao Wang, Chengjie Wang, Yong Li, Xiangtai Li, Dacheng Tao:
EMOv2: Pushing 5M Vision Model Frontier. CoRR abs/2412.06674 (2024) - [i121]Zihan Huang, Tong Li, Yong Li:
AppGen: Mobility-aware App Usage Behavior Generation for Mobile Users. CoRR abs/2412.07267 (2024) - [i120]Jiaqi Zhang, Chen Gao, Liyuan Zhang, Yong Li, Hongzhi Yin:
SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World. CoRR abs/2412.07472 (2024) - [i119]Qianyue Hao, Fengli Xu, Yong Li, James A. Evans:
AI Expands Scientists' Impact but Contracts Science's Focus. CoRR abs/2412.07727 (2024) - [i118]Guozhen Zhang, Zihan Yu, Nian Li, Fudan Yu, Qingyue Long, Depeng Jin, Yong Li:
Human Behavior Simulation: Objectives, Methodologies, and Open Problems. CoRR abs/2412.07788 (2024) - [i117]Qingyue Long, Yuan Yuan, Yong Li:
A Universal Model for Human Mobility Prediction. CoRR abs/2412.15294 (2024) - [i116]Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang:
Position-aware Graph Transformer for Recommendation. CoRR abs/2412.18731 (2024) - 2023
- [j310]Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin:
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. Appl. Soft Comput. 146: 110680 (2023) - [j309]Jinghua Piao, Jiazhen Liu, Fang Zhang, Jun Su, Yong Li:
Human-AI adaptive dynamics drives the emergence of information cocoons. Nat. Mac. Intell. 5(11): 1214-1224 (2023) - [j308]Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, Yong Li:
Spatial planning of urban communities via deep reinforcement learning. Nat. Comput. Sci. 3(9): 748-762 (2023) - [j307]Erzhuo Shao, Zhenyu Han, Yulai Xie, Yang Zhang, Lu Geng, Yong Li:
Interior Individual Trajectory Simulation with Population Distribution Constraint. ACM Trans. Intell. Syst. Technol. 14(1): 2:1-2:17 (2023) - [j306]Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li:
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information. ACM Trans. Intell. Syst. Technol. 14(1): 8:1-8:27 (2023) - [j305]Guozhen Zhang, Jinhui Yi, Jian Yuan, Yong Li, Depeng Jin:
DAS: Efficient Street View Image Sampling for Urban Prediction. ACM Trans. Intell. Syst. Technol. 14(2): 35:1-35:20 (2023) - [j304]Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li:
UrbanKG: An Urban Knowledge Graph System. ACM Trans. Intell. Syst. Technol. 14(4): 60:1-60:25 (2023) - [j303]Tong Li, Yanxin Xi, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui:
Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. ACM Trans. Intell. Syst. Technol. 14(4): 61:1-61:32 (2023) - [j302]Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Dual Graph Convolution Architecture Search for Travel Time Estimation. ACM Trans. Intell. Syst. Technol. 14(4): 64:1-64:23 (2023) - [j301]Tong Li, Yong Li, Mingyang Zhang, Sasu Tarkoma, Pan Hui:
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior. ACM Trans. Intell. Syst. Technol. 14(4): 71:1-71:21 (2023) - [j300]Mudan Wang, Yuan Yuan, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li, Depeng Jin:
Discovering Causes of Traffic Congestion via Deep Transfer Clustering. ACM Trans. Intell. Syst. Technol. 14(5): 79:1-79:24 (2023) - [j299]Zhenyu Han, Siran Ma, Changzheng Gao, Erzhuo Shao, Yulai Xie, Yang Zhang, Lu Geng, Yong Li:
Disease Simulation in Airport Scenario Based on Individual Mobility Model. ACM Trans. Intell. Syst. Technol. 14(5): 84:1-84:24 (2023) - [j298]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17(1): 9:1-9:21 (2023) - [j297]Jinwei Chen, Zefang Zong, Yunlin Zhuang, Huan Yan, Depeng Jin, Yong Li:
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups. ACM Trans. Knowl. Discov. Data 17(3): 33:1-33:19 (2023) - [j296]Tao Feng, Sirui Song, Tong Xia, Yong Li:
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning. ACM Trans. Knowl. Discov. Data 17(3): 34:1-34:24 (2023) - [j295]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17(4): 58:1-58:28 (2023) - [j294]Can Rong, Tong Li, Jie Feng, Yong Li:
Inferring Origin-Destination Flows From Population Distribution. IEEE Trans. Knowl. Data Eng. 35(1): 603-613 (2023) - [j293]Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li:
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35(2): 1351-1364 (2023) - [j292]Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35(2): 1609-1623 (2023) - [j291]Yuan Yuan, Fengli Xu, Hancheng Cao, Guozhen Zhang, Pan Hui, Yong Li, Depeng Jin:
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement. IEEE Trans. Knowl. Data Eng. 35(2): 1938-1951 (2023) - [j290]Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2326-2340 (2023) - [j289]Yali Fan, Zhen Tu, Tong Li, Hancheng Cao, Tong Xia, Yong Li, Xiang Chen, Lin Zhang:
Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(3): 3180-3194 (2023) - [j288]Tong Li, Yali Fan, Yong Li, Sasu Tarkoma, Pan Hui:
Understanding the Long-Term Evolution of Mobile App Usage. IEEE Trans. Mob. Comput. 22(2): 1213-1230 (2023) - [j287]Zhen Xu, Quanming Yao, Yong Li, Qiang Yang:
Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [j286]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1(1): 1-51 (2023) - [j285]Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao:
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) 26(5): 3253-3274 (2023) - [c268]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI 2023: 14539-14547 - [c267]Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li:
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM 2023: 885-894 - [c266]Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li:
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. CIKM 2023: 2188-2197 - [c265]Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin:
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. CIKM 2023: 3052-3061 - [c264]Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CIKM 2023: 4787-4793 - [c263]Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions. CIKM 2023: 4916-4922 - [c262]Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li:
An AI-based Simulation and Optimization Framework for Logistic Systems. CIKM 2023: 5138-5142 - [c261]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023: 16620-16631 - [c260]Jiahui Gong, Yu Liu, Tong Li, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li:
Empowering Spatial Knowledge Graph for Mobile Traffic Prediction. SIGSPATIAL/GIS 2023: 24:1-24:11 - [c259]Yinzhou Tang, Huandong Wang, Yong Li:
Enhancing Spatial Spread Prediction of Infectious Diseases through Integrating Multi-scale Human Mobility Dynamics. SIGSPATIAL/GIS 2023: 43:1-43:12 - [c258]Fuxian Li, Huan Yan, Hongjie Sui, Deng Wang, Fan Zuo, Yue Liu, Yong Li, Depeng Jin:
Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction. SIGSPATIAL/GIS 2023: 50:1-50:10 - [c257]Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li:
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery. SIGSPATIAL/GIS 2023: 53:1-53:4 - [c256]Zhicheng Liu, Yitian Liao, Zan Sun, Huankang Guan, Danning Jiang, Yong Li:
Which Traffic Light Should You Look at? Automatically Associating Traffic Lights with Roads in High-Definition Map (Industrial Paper). SIGSPATIAL/GIS 2023: 59:1-59:11 - [c255]Yingrong Qin, Chen Gao, Zhen Tu, Hongsheng Wu, Shuangqing Wei, Yue Wang, Lin Zhang, Yong Li:
Modeling Multi-Grained User Preference in Location Visitation. SIGSPATIAL/GIS 2023: 78:1-78:10 - [c254]Mudan Wang, Huan Yan, Huandong Wang, Yong Li, Depeng Jin:
Contagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction. SIGSPATIAL/GIS 2023: 89:1-89:11 - [c253]Yu Liu, Jingtao Ding, Yong Li:
KnowSite: Leveraging Urban Knowledge Graph for Site Selection. SIGSPATIAL/GIS 2023: 90:1-90:12 - [c252]Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li:
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. SIGSPATIAL/GIS 2023: 91:1-91:12 - [c251]Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li:
Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR 2023 - [c250]Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li:
Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data. ICWSM 2023: 126-136 - [c249]Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li:
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. KDD 2023: 685-697 - [c248]Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD 2023: 2547-2558 - [c247]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. KDD 2023: 3173-3184 - [c246]Wenxuan Ao, Guozhen Zhang, Yong Li, Depeng Jin:
Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry. KDD 2023: 3713-3723 - [c245]Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li:
ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service. KDD 2023: 4024-4034 - [c244]Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li:
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns. KDD 2023: 4195-4206 - [c243]Ruikun Li, Huandong Wang, Yong Li:
Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales. KDD 2023: 4380-4390 - [c242]Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, Yong Li:
Practical Synthetic Human Trajectories Generation Based on Variational Point Processes. KDD 2023: 4561-4571 - [c241]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD 2023: 4617-4627 - [c240]Shiyuan Zhang, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li:
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph. KDD 2023: 4842-4851 - [c239]Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li:
NEON: Living Needs Prediction System in Meituan. KDD 2023: 5292-5302 - [c238]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. KDD 2023: 5695-5706 - [c237]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, Yong Li:
Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. ACM Multimedia 2023: 6274-6282 - [c236]Jiahui Gong, Qiaohong Yu, Tong Li, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, Yong Li:
Demo: Scalable Digital Twin System for Mobile Networks with Generative AI. MobiSys 2023: 610-611 - [c235]Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao:
Efficient Hyper-parameter Optimization with Cubic Regularization. NeurIPS 2023 - [c234]Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li:
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys 2023: 540-550 - [c233]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li:
Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR 2023: 433-442 - [c232]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR 2023: 2466-2470 - [c231]Jun Zhang, Wenxuan Ao, Depeng Jin, Li Liu, Yong Li:
A City-level High-performance Spatio-temporal Mobility Simulation System. SuMob@SIGSPATIAL 2023: 23-32 - [c230]Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li:
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. WWW 2023: 122-132 - [c229]Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li:
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. WWW 2023: 429-437 - [c228]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW 2023: 906-916 - [c227]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW 2023: 917-927 - [c226]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW 2023: 1097-1108 - [c225]Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang:
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW 2023: 4041-4049 - [c224]Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li:
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. WWW 2023: 4150-4160 - [c223]Hongzhi Shi, Quanming Yao, Yong Li:
Learning to Simulate Crowd Trajectories with Graph Networks. WWW 2023: 4200-4209 - [i115]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR abs/2302.03965 (2023) - [i114]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. CoRR abs/2302.10897 (2023) - [i113]Huiming Chen, Huandong Wang, Depeng Jin, Yong Li:
Advancements in Federated Learning: Models, Methods, and Privacy. CoRR abs/2302.11466 (2023) - [i112]Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li:
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. CoRR abs/2302.13094 (2023) - [i111]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR abs/2303.08346 (2023) - [i110]Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao:
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning. CoRR abs/2303.12306 (2023) - [i109]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. CoRR abs/2305.12403 (2023) - [i108]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. CoRR abs/2305.13060 (2023) - [i107]Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He:
How Graph Convolutions Amplify Popularity Bias for Recommendation? CoRR abs/2305.14886 (2023) - [i106]Can Rong, Huandong Wang, Yong Li:
Origin-Destination Network Generation via Gravity-Guided GAN. CoRR abs/2306.03390 (2023) - [i105]Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li:
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. CoRR abs/2306.04873 (2023) - [i104]Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang:
Carbon emissions and sustainability of launching 5G mobile networks in China. CoRR abs/2306.08337 (2023) - [i103]Can Rong, Jingtao Ding, Yong Li:
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. CoRR abs/2306.10048 (2023) - [i102]Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li:
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. CoRR abs/2306.10275 (2023) - [i101]Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing:
OpenSiteRec: An Open Dataset for Site Recommendation. CoRR abs/2307.00856 (2023) - [i100]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR abs/2307.09866 (2023) - [i99]Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR abs/2307.11004 (2023) - [i98]Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li:
S3: Social-network Simulation System with Large Language Model-Empowered Agents. CoRR abs/2307.14984 (2023) - [i97]Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li:
NEON: Living Needs Prediction System in Meituan. CoRR abs/2307.16644 (2023) - [i96]Yanxin Xi, Yu Liu, Tong Li, Jintao Ding, Yunke Zhang, Sasu Tarkoma, Yong Li, Pan Hui:
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities. CoRR abs/2308.00465 (2023) - [i95]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR abs/2308.03470 (2023) - [i94]Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li:
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. CoRR abs/2308.04086 (2023) - [i93]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models. CoRR abs/2308.12143 (2023) - [i92]Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CoRR abs/2308.13249 (2023) - [i91]Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-Length Effect for Micro-video Recommendation. CoRR abs/2308.14276 (2023) - [i90]Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li:
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. CoRR abs/2309.10547 (2023) - [i89]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. CoRR abs/2310.02453 (2023) - [i88]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. CoRR abs/2310.08917 (2023) - [i87]Nian Li, Chen Gao, Yong Li, Qingmin Liao:
Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. CoRR abs/2310.10436 (2023) - [i86]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. CoRR abs/2310.10467 (2023) - [i85]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. CoRR abs/2311.06049 (2023) - [i84]Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. CoRR abs/2311.06062 (2023) - [i83]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang:
Mixed Attention Network for Cross-domain Sequential Recommendation. CoRR abs/2311.08272 (2023) - [i82]Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR abs/2311.08302 (2023) - [i81]Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li:
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery. CoRR abs/2311.09240 (2023) - [i80]Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li:
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. CoRR abs/2312.11813 (2023) - [i79]Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li:
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. CoRR abs/2312.11970 (2023) - 2022
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Collaboration Stability: Quantifying the Success and Failure of Opportunistic Collaboration. Computer 55(8): 70-81 (2022) - [j283]Shuodi Hui, Huandong Wang, Dianlei Xu, Jing Wu, Yong Li, Depeng Jin:
Distinguishing Between Smartphones and IoT Devices via Network Traffic. IEEE Internet Things J. 9(2): 1182-1196 (2022) - [j282]Jie Sun, Yi Zhang, Feng Liu, Huandong Wang, Xiaojian Xu, Yong Li:
A survey on the placement of virtual network functions. J. Netw. Comput. Appl. 202: 103361 (2022) - [j281]Zhilong Chen, Xiaochong Lan, Jinghua Piao, Yunke Zhang, Yong Li:
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-24 (2022) - [j280]Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li:
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-32 (2022) - [j279]Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, Yu Zheng:
Urban Anomaly Analytics: Description, Detection, and Prediction. IEEE Trans. Big Data 8(3): 809-826 (2022) - [j278]Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin:
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I. ACM Trans. Intell. Syst. Technol. 13(1): 1:1-1:2 (2022) - [j277]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2. ACM Trans. Intell. Syst. Technol. 13(2): 17:1-17:4 (2022) - [j276]Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin:
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II. ACM Trans. Intell. Syst. Technol. 13(3): 34:1-34:2 (2022) - [j275]Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li:
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. ACM Trans. Intell. Syst. Technol. 13(5): 81:1-81:14 (2022) - [j274]Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j273]Huandong Wang, Yong Li, Junjie Lin, Hancheng Cao, Depeng Jin:
Context-Aware Semantic Annotation of Mobility Records. ACM Trans. Knowl. Discov. Data 16(3): 47:1-47:20 (2022) - [j272]Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16(3): 49:1-49:21 (2022) - [j271]Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin:
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34(2): 954-968 (2022) - [j270]Muzhi Guan, Meeyoung Cha, Yue Wang, Yong Li, Jingbo Sun:
From Anticipation to Action: Data Reveal Mobile Shopping Patterns During a Yearly Mega Sale Event in China. IEEE Trans. Knowl. Data Eng. 34(4): 1775-1787 (2022) - [j269]Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2360-2374 (2022) - [j268]Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li:
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. 34(6): 2798-2809 (2022) - [j267]Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin:
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34(6): 2921-2933 (2022) - [j266]Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5693-5707 (2022) - [j265]Dianlei Xu, Huandong Wang, Yong Li, Sasu Tarkoma, Depeng Jin, Pan Hui:
IoT vs. Human: A Comparison of Mobility. IEEE Trans. Mob. Comput. 21(4): 1257-1273 (2022) - [j264]Tong Li, Yong Li, Mohammad Ashraful Hoque, Tong Xia, Sasu Tarkoma, Pan Hui:
To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage. IEEE Trans. Mob. Comput. 21(4): 1492-1507 (2022) - [j263]Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin:
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21(7): 2372-2384 (2022) - [j262]Weifeng Cao, Yulong Zou, Zhen Yang, Bin Li, Yun Lin, Yong Li, Wei Wu, Lizhe Liu:
Secrecy Outage Analysis of Relay-User Pairing for Secure Hybrid Satellite-Terrestrial Networks. IEEE Trans. Veh. Technol. 71(8): 8906-8918 (2022) - [c222]Zefang Zong, Meng Zheng, Yong Li, Depeng Jin:
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. AAAI 2022: 9980-9988 - [c221]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li:
Efficient Hyper-parameter Search for Knowledge Graph Embedding. ACL (1) 2022: 2715-2735 - [c220]Di Wu, Fan Wang, Hongkui Jiang, Yong Li, Zhenyu Gao, Chaofan Zhang:
An Efficient Scene Text Spotter with a Feature-Level Super-Resolution Module. ICCCS 2022: 202-211 - [c219]Zhilong Chen, Hancheng Cao, Xiaochong Lan, Zhicong Lu, Yong Li:
Beyond Virtual Bazaar: How Social Commerce Promotes Inclusivity for the Traditionally Underserved Community in Chinese Developing Regions. CHI 2022: 369:1-369:15 - [c218]Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li:
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. CIKM 2022: 614-623 - [c217]Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin:
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. CIKM 2022: 1084-1093 - [c216]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c215]Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li:
Causal Learning Empowered OD Prediction for Urban Planning. CIKM 2022: 2455-2464 - [c214]Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, Yong Li:
Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery. CIKM 2022: 3282-3291 - [c213]Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li:
An Exploratory Study of Information Cocoon on Short-form Video Platform. CIKM 2022: 4178-4182 - [c212]Jun Zhang, Depeng Jin, Yong Li:
Mirage: an efficient and extensible city simulation framework (systems paper). SIGSPATIAL/GIS 2022: 16:1-16:4 - [c211]Tao Feng, Huandong Wang, Xiaochen Fan, Tong Xia, Yong Li:
Reviving the economy while saving lives: a deep reinforcement learning approach for smart POI reopening. SIGSPATIAL/GIS 2022: 58:1-58:12 - [c210]Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li:
Physics-infused Machine Learning for Crowd Simulation. KDD 2022: 2439-2449 - [c209]Tao Feng, Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li:
Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. KDD 2022: 2882-2892 - [c208]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c207]Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li:
Modeling Persuasion Factor of User Decision for Recommendation. KDD 2022: 3366-3376 - [c206]Mudan Wang, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li:
Learning to Discover Causes of Traffic Congestion with Limited Labeled Data. KDD 2022: 4041-4049 - [c205]Fudan Yu, Wenxuan Ao, Huan Yan, Guozhen Zhang, Wei Wu, Yong Li:
Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. KDD 2022: 4413-4421 - [c204]Zefang Zong, Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li:
RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning. KDD 2022: 4648-4658 - [c203]Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li:
Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. KDD 2022: 4684-4694 - [c202]Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li:
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD 2022: 4752-4762 - [c201]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia 2022: 334-345 - [c200]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. SIGIR 2022: 1283-1293 - [c199]Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li:
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [c198]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation. SIGIR 2022: 2686-2691 - [c197]Huan Yan, Guangyin Jin, Deng Wang, Yue Liu, Yong Li:
Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks. SpatialDI 2022: 19-34 - [c196]Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li:
A Counterfactual Modeling Framework for Churn Prediction. WSDM 2022: 1424-1432 - [c195]Chen Gao, Xiang Wang, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender System. WSDM 2022: 1623-1625 - [c194]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. WWW 2022: 2256-2267 - [c193]Yanxin Xi, Tong Li, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui:
Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. WWW 2022: 3308-3316 - [c192]Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li:
Knowledge Enhanced GAN for IoT Traffic Generation. WWW 2022: 3336-3346 - [i78]Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng:
Neighboring Backdoor Attacks on Graph Convolutional Network. CoRR abs/2201.06202 (2022) - [i77]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. CoRR abs/2202.13090 (2022) - [i76]Zhilong Chen, Hancheng Cao, Xiaochong Lan, Zhicong Lu, Yong Li:
Beyond Virtual Bazaar: How Social Commerce Promotes Inclusivity for the Traditionally Underserved Community in Chinese Developing Regions. CoRR abs/2203.00865 (2022) - [i75]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. CoRR abs/2204.12063 (2022) - [i74]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li:
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning. CoRR abs/2205.02460 (2022) - [i73]Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li:
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. CoRR abs/2208.04122 (2022) - [i72]Zhilong Chen, Xiaochong Lan, Jinghua Piao, Yunke Zhang, Yong Li:
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China. CoRR abs/2208.04518 (2022) - [i71]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR abs/2208.05190 (2022) - [i70]Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li:
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR abs/2208.06794 (2022) - [i69]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. CoRR abs/2208.12397 (2022) - [i68]Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li:
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR abs/2209.08228 (2022) - [i67]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR abs/2209.08446 (2022) - 2021
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Corrections to "Preference-Based Privacy Markets". IEEE Access 9: 14179-14180 (2021) - [j260]Zhen Tu, Hancheng Cao, Eemil Lagerspetz, Yali Fan, Huber Flores, Sasu Tarkoma, Petteri Nurmi, Yong Li:
Demographics of mobile app usage: long-term analysis of mobile app usage. CCF Trans. Pervasive Comput. Interact. 3(3): 235-252 (2021) - [j259]Muhammad Sheraz, Manzoor Ahmed, Xueshi Hou, Yong Li, Depeng Jin, Zhu Han, Tao Jiang:
Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges. IEEE Commun. Surv. Tutorials 23(1): 631-661 (2021) - [j258]Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li:
Disruption in Chinese E-Commerce During COVID-19. Frontiers Comput. Sci. 3: 668711 (2021) - [j257]Jie Sun, Feng Liu, Yong Li, Lianlian Zhang, Dingyuan Shi:
A Software-Defined Architecture for Integrating Heterogeneous Space and Ground Networks. Frontiers Commun. Networks 2 (2021) - [j256]Yunke Zhang, Fengli Xu, Tong Li, Vassilis Kostakos, Pan Hui, Yong Li:
Passive Health Monitoring Using Large Scale Mobility Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 49:1-49:23 (2021) - [j255]Zhenyu Han, Haohao Fu, Fengli Xu, Zhen Tu, Yang Yu, Pan Hui, Yong Li:
Who Will Survive and Revive Undergoing the Epidemic: Analyses about POI Visit Behavior in Wuhan via Check-in Records. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 64:1-64:20 (2021) - [j254]Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li:
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 184:1-184:24 (2021) - [j253]Yunke Zhang, Fengli Xu, Tong Xia, Yong Li:
Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 193:1-193:30 (2021) - [j252]Yawen Chen, Yu Liu, Ming Zeng, Umber Saleem, Zhaoming Lu, Xiangming Wen, Depeng Jin, Zhu Han, Tao Jiang, Yong Li:
Reinforcement Learning Meets Wireless Networks: A Layering Perspective. IEEE Internet Things J. 8(1): 85-111 (2021) - [j251]Shuodi Hui, Zhenhua Wang, Xueshi Hou, Xiao Wang, Huandong Wang, Yong Li, Depeng Jin:
Systematically Quantifying IoT Privacy Leakage in Mobile Networks. IEEE Internet Things J. 8(9): 7115-7125 (2021) - [j250]Tong Li, Mingyang Zhang, Yong Li, Eemil Lagerspetz, Sasu Tarkoma, Pan Hui:
The Impact of Covid-19 on Smartphone Usage. IEEE Internet Things J. 8(23): 16723-16733 (2021) - [j249]Huandong Wang, Yong Li, Depeng Jin, Zhu Han:
Attentional Markov Model for Human Mobility Prediction. IEEE J. Sel. Areas Commun. 39(7): 2213-2225 (2021) - [j248]Fengli Xu, Yong Li, Depeng Jin, Jianhua Lu, Chaoming Song:
Emergence of urban growth patterns from human mobility behavior. Nat. Comput. Sci. 1(12): 791-800 (2021) - [j247]Rui Wang, Min Chen, Nadra Guizani, Yong Li, Hamid Gharavi, Kai Hwang:
DeepNetQoE: Self-Adaptive QoE Optimization Framework of Deep Networks. IEEE Netw. 35(3): 161-167 (2021) - [j246]Hancheng Cao, Zhilong Chen, Mengjie Cheng, Shuling Zhao, Tao Wang, Yong Li:
You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 67:1-67:25 (2021) - [j245]Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao, Yong Li:
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 439:1-439:26 (2021) - [j244]Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Tao Jiang, Jon Crowcroft, Pan Hui:
Edge Intelligence: Empowering Intelligence to the Edge of Network. Proc. IEEE 109(11): 1778-1837 (2021) - [j243]Jiaqiang Liu, Huan Yan, Yong Li, Dmytro Karamshuk, Nishanth Sastry, Di Wu, Depeng Jin:
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods. IEEE Trans. Big Data 7(5): 873-884 (2021) - [j242]Jie Sun, Feng Liu, Huandong Wang, Manzoor Ahmed, Yong Li, Lianlian Zhang, Hao Zeng:
Network Function Placement Under Randomly Arrived Networking Traffic. IEEE Trans. Cogn. Commun. Netw. 7(4): 1382-1398 (2021) - [j241]Huandong Wang, Yong Li, Gang Wang, Depeng Jin:
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces. ACM Trans. Intell. Syst. Technol. 12(4): 39:1-39:28 (2021) - [j240]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1. ACM Trans. Intell. Syst. Technol. 12(6): 67:1-67:3 (2021) - [j239]Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin:
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15(6): 110:1-110:21 (2021) - [j238]Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin:
App2Vec: Context-Aware Application Usage Prediction. ACM Trans. Knowl. Discov. Data 15(6): 112:1-112:21 (2021) - [j237]Huan Yan, Chunfeng Yang, Donghan Yu, Yong Li, Depeng Jin, Dah Ming Chiu:
Multi-Site User Behavior Modeling and Its Application in Video Recommendation. IEEE Trans. Knowl. Data Eng. 33(1): 180-193 (2021) - [j236]Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. IEEE Trans. Knowl. Data Eng. 33(2): 667-681 (2021) - [j235]Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos:
Semantics-Aware Hidden Markov Model for Human Mobility. IEEE Trans. Knowl. Data Eng. 33(3): 1183-1194 (2021) - [j234]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j233]Tong Xia, Yong Li, Yue Yu, Fengli Xu, Qingmin Liao, Depeng Jin:
Understanding Urban Dynamics via State-Sharing Hidden Markov Model. IEEE Trans. Knowl. Data Eng. 33(10): 3468-3481 (2021) - [j232]Fengli Xu, Yong Li, Zhen Tu, Shuhao Chang, Hongjia Huang:
No More than What I Post: Preventing Linkage Attacks on Check-in Services. IEEE Trans. Mob. Comput. 20(2): 620-633 (2021) - [j231]Dianlei Xu, Yong Li, Tong Xia, Jianbo Li, Pan Hui:
Portfolio Optimization in Traffic Offloading: Concept, Model, and Algorithms. IEEE Trans. Mob. Comput. 20(2): 691-706 (2021) - [j230]Huandong Wang, Yong Li, Chen Gao, Gang Wang, Xiaoming Tao, Depeng Jin:
Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice. IEEE Trans. Mob. Comput. 20(3): 796-815 (2021) - [j229]Huandong Wang, Sihan Zeng, Yong Li, Depeng Jin:
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. IEEE Trans. Mob. Comput. 20(7): 2457-2472 (2021) - [j228]Tong Li, Tristan Braud, Yong Li, Pan Hui:
Lifecycle-Aware Online Video Caching. IEEE Trans. Mob. Comput. 20(8): 2624-2636 (2021) - [j227]Huan Yan, Haohao Fu, Yong Li, Tzu-Heng Lin, Gang Wang, Haitao Zheng, Depeng Jin, Ben Y. Zhao:
On Migratory Behavior in Video Consumption. IEEE Trans. Netw. Serv. Manag. 18(2): 1775-1788 (2021) - [j226]Huan Yan, Tzu-Heng Lin, Ming Zeng, Jing Wu, Yong Li, Depeng Jin:
Discovering Usage Patterns of Mobile Video Service in the Cellular Networks. IEEE Trans. Netw. Serv. Manag. 18(2): 1789-1802 (2021) - [j225]Ranjan Pal, Junhui Li, Jon Crowcroft, Yong Li, Mingyan Liu, Nishanth Sastry:
Privacy Risk is a Function of Information Type: Learnings for the Surveillance Capitalism Age. IEEE Trans. Netw. Serv. Manag. 18(3): 3280-3296 (2021) - [j224]Jie Sun, Feng Liu, Huandong Wang, Manzoor Ahmed, Yong Li, Mingyue Liu:
Efficient VNF Placement for Poisson Arrived Traffic. IEEE Trans. Netw. Serv. Manag. 18(4): 4277-4293 (2021) - [j223]Amit Samanta, Yong Li:
Distributed Pricing Policy for Cloud-Assisted Body-to-Body Networks with Optimal QoS and Energy Considerations. IEEE Trans. Serv. Comput. 14(3): 668-682 (2021) - [j222]Umber Saleem, Yu Liu, Sobia Jangsher, Yong Li, Tao Jiang:
Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing. IEEE Trans. Wirel. Commun. 20(1): 360-374 (2021) - [c191]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. AAAI 2021: 4494-4502 - [c190]Zhenxiang Chen, Wangwang Yu, Haohan Bai, Yong Li:
An Arcloss-Based and Openset-Test-Oriented Finger Vein Recognition System. CCBR 2021: 287-294 - [c189]Zhilong Chen, Hancheng Cao, Yuting Deng, Xuan Gao, Jinghua Piao, Fengli Xu, Yu Zhang, Yong Li:
Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic. CHI 2021: 348:1-348:16 - [c188]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CIKM 2021: 1588-1597 - [c187]Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Hierarchical Neural Architecture Search for Travel Time Estimation. SIGSPATIAL/GIS 2021: 91-94 - [c186]Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li:
Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. SIGSPATIAL/GIS 2021: 389-398 - [c185]Tao Wang, Yong Li, Jingyang Peng, Yipeng Ma, Xian Wang, Fenglong Song, Youliang Yan:
Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables. ICCV 2021: 2451-2460 - [c184]Jun Zhang, Chen Gao, Depeng Jin, Yong Li:
Group-Buying Recommendation for Social E-Commerce. ICDE 2021: 1536-1547 - [c183]Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, Pan Hui:
Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. ICDM 2021: 1475-1480 - [c182]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding sizes for Recommender Systems. ICLR 2021 - [c181]Fengli Xu, Guozhen Zhang, Yuan Yuan, Hongjia Huang, Diyi Yang, Depeng Jin, Yong Li:
Understanding the Invitation Acceptance in Agent-initiated Social E-commerce. ICWSM 2021: 820-829 - [c180]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. KDD 2021: 415-425 - [c179]Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li:
Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information. KDD 2021: 2955-2963 - [c178]Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li:
User Consumption Intention Prediction in Meituan. KDD 2021: 3472-3482 - [c177]Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li:
Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS 2021: 392-403 - [c176]Fengli Xu, Quanming Yao, Pan Hui, Yong Li:
Automorphic Equivalence-aware Graph Neural Network. NeurIPS 2021: 15138-15150 - [c175]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. SIGIR 2021: 378-387 - [c174]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [c173]Yu Liu, Quanming Yao, Yong Li:
Role-Aware Modeling for N-ary Relational Knowledge Bases. WWW 2021: 2660-2671 - [c172]Guozhen Zhang, Yong Li, Yuan Yuan, Fengli Xu, Hancheng Cao, Yujian Xu, Depeng Jin:
Community Value Prediction in Social E-commerce. WWW 2021: 2958-2967 - [c171]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021: 2980-2991 - [c170]Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yong Li:
Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks. WWW 2021: 3146-3157 - [e1]Gang Pan, Hui Lin, Xiaofeng Meng, Yunjun Gao, Yong Li, Qingfeng Guan,