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ORCIDXiaofang Zhou 0001
周晓方
Person information
- unicode name: 周晓方
- affiliation: Hong Kong University of Science and Technology, SAR, China
- affiliation (former): University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
Other persons with the same name
- Xiaofang Zhou — disambiguation page
- Xiaofang Zhou 0002 — Fudan University, State Key Lab of ASIC & System, Shanghai, China
- Xiaofang Zhou 0003 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Anhui, China
- Xiaofang Zhou 0004 — Zhangzhou Normal University, Department of Physics and Electronic Information Engineering, China
- Xiaofang Zhou 0005 — Shanghai University of Traditional Chinese Medicine, Shanghai, China
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2020 – today
- 2024
[j244]Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou:
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense. Proc. VLDB Endow. 17(8): 2050-2063 (2024)- [j243]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j242]Tianyu Xu
, Jianfeng Qu, Wen Hua, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao, Xiaofang Zhou:
Evidence Reasoning and Curriculum Learning for Document-Level Relation Extraction. IEEE Trans. Knowl. Data Eng. 36(2): 594-607 (2024) - [j241]Yao Tian, Xi Zhao, Xiaofang Zhou:
DB-LSH 2.0: Locality-Sensitive Hashing With Query-Based Dynamic Bucketing. IEEE Trans. Knowl. Data Eng. 36(3): 1000-1015 (2024) - [j240]Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou:
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. 36(5): 2224-2238 (2024) - [j239]Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou:
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36(5): 2239-2256 (2024) - [j238]Fengmei Jin, Wen Hua, Lei Li, Boyu Ruan, Xiaofang Zhou:
Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy. IEEE Trans. Knowl. Data Eng. 36(6): 2430-2444 (2024) - [j237]Shuncheng Liu, Xu Chen, Yan Zhao, Han Su, Xiaofang Zhou, Kai Zheng:
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle. IEEE Trans. Knowl. Data Eng. 36(7): 2927-2941 (2024) - [j236]Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou:
LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols. IEEE Trans. Knowl. Data Eng. 36(7): 3195-3209 (2024) - [j235]Jing Zhao, Jiajie Xu, Yuan Xu, Junhua Fang, Pingfu Chao, Xiaofang Zhou:
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction. IEEE Trans. Knowl. Data Eng. 36(9): 4499-4514 (2024) - [j234]Yan Zhao, Xuanlei Chen, Guanyu Ye, Fangda Guo, Kai Zheng, Xiaofang Zhou:
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework. IEEE Trans. Knowl. Data Eng. 36(9): 4943-4955 (2024) - [j233]Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou:
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. VLDB J. 33(1): 163-184 (2024) - [j232]Yehong Xu, Mengxuan Zhang, Ruizhong Wu, Lei Li, Xiaofang Zhou:
Efficient processing of coverage centrality queries on road networks. World Wide Web (WWW) 27(3): 25 (2024) - [c315]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c314]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE 2024: 705-718 - [c313]Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou:
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks. ICDE 2024: 859-873 - [c312]Mingchen Zhang, Jiaan Wang, Jianfeng Qu, Zhixu Li, An Liu, Lei Zhao, Zhigang Chen, Xiaofang Zhou:
A Coarse-to-Fine Framework for Entity-Relation Joint Extraction. ICDE 2024: 1009-1022 - [c311]Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou:
GradGCL: Gradient Graph Contrastive Learning. ICDE 2024: 1171-1184 - [c310]Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou:
ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. ICDE 2024: 1185-1198 - [c309]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c308]Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou:
Effective Data Selection and Replay for Unsupervised Continual Learning. ICDE 2024: 1449-1463 - [c307]Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou:
Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. ICDE 2024: 2805-2819 - [c306]Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. ICDE 2024: 2986-2999 - [c305]Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
Approximate Skyline Index for Constrained Shortest Pathfinding with Theoretical Guarantee. ICDE 2024: 4222-4235 - [c304]Chunhui Feng, Junhua Fang, Yue Xia, Pingfu Chao, Pengpeng Zhao, Jiajie Xu, Xiaofang Zhou:
Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data. ICDE 2024: 4504-4517 - [c303]Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou:
FRESH: Towards Efficient Graph Queries in an Outsourced Graph. ICDE 2024: 4545-4557 - [c302]Zizhuo Xu, Lei Li, Mengxuan Zhang, Yehong Xu, Xiaofang Zhou:
Managing the Future: Route Planning Influence Evaluation in Transportation Systems. ICDE 2024: 4558-4572 - [c301]Xinjie Zhou, Mengxuan Zhang, Lei Li, Xiaofang Zhou:
Scalable Distance Labeling Maintenance and Construction for Dynamic Small-World Networks. ICDE 2024: 4573-4585 - [c300]Jing Zhao, Lei Li, Mengxuan Zhang, Zihan Luo, Xi Zhao, Xiaofang Zhou:
A Just-In-Time Framework for Continuous Routing. ICDE 2024: 4600-4613 - [c299]Zetao Zheng, Jie Shao, Shilong Deng, Anjie Zhu, Heng Tao Shen, Xiaofang Zhou:
Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management. ICDE 2024: 4685-4698 - [c298]Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou:
Multi-Modality is All You Need for Transferable Recommender Systems. ICDE 2024: 5008-5021 - [c297]Saeed Najafipour Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
Short-Text Author Linking Through Multi-Facet Temporal-Textual Embedding (Extended Abstract). ICDE 2024: 5687-5688 - [c296]Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou:
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System (Extended Abstract). ICDE 2024: 5715-5716 - [c295]Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract). ICDE 2024: 5751-5752 - [c294]Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong:
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach. ICML 2024 - [c293]Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou:
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. KDD 2024: 1631-1642 - [i45]Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou:
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR abs/2402.01802 (2024) - [i44]Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. CoRR abs/2402.05154 (2024) - [i43]Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou:
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024) - [i42]Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng:
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR abs/2403.14151 (2024) - [i41]Shuhao Li, Yue Cui, Jingyi Xu, Libin Li, Lingkai Meng, Weidong Yang, Fan Zhang, Xiaofang Zhou:
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline. CoRR abs/2403.14941 (2024) - [i40]Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou:
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models. CoRR abs/2408.06717 (2024) - 2023
- [j231]Yao Tian, Ziyang Yue, Ruiyuan Zhang, Xi Zhao, Bolong Zheng, Xiaofang Zhou:
Approximate Nearest Neighbor Search in High Dimensional Vector Databases: Current Research and Future Directions. IEEE Data Eng. Bull. 46(3): 39-54 (2023) - [j230]Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou:
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. Proc. ACM Manag. Data 1(1): 51:1-51:26 (2023) - [j229]Yao Tian, Tingyun Yan, Ruiyuan Zhang, Kai Huang, Bolong Zheng, Xiaofang Zhou:
A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams. Proc. ACM Manag. Data 1(4): 264:1-264:26 (2023) - [j228]Xi Zhao, Bolong Zheng, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen:
FARGO: Fast Maximum Inner Product Search via Global Multi-Probing. Proc. VLDB Endow. 16(5): 1100-1112 (2023) - [j227]Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou:
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces. Proc. VLDB Endow. 16(8): 1979-1991 (2023) - [j226]Kai Huang, Houdong Liang, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou:
VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines. Proc. VLDB Endow. 16(12): 4010-4013 (2023) - [j225]Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete:
Front Matter. Proc. VLDB Endow. 16(12) (2023) - [j224]Bolong Zheng, Yongyong Gao, Jingyi Wan, Lingsen Yan, Long Hu, Bo Liu, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen:
DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems. Proc. VLDB Endow. 17(1): 1-14 (2023) - [j223]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [j222]Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou:
A Noise-Aware Method With Type Constraint Pattern for Neural Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1134-1148 (2023) - [j221]Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou:
Partition-Aware Graph Pattern Based Node Matching With Updates. IEEE Trans. Knowl. Data Eng. 35(2): 1922-1937 (2023) - [j220]Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng, Xiaofang Zhou:
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. IEEE Trans. Knowl. Data Eng. 35(3): 2243-2257 (2023) - [j219]Fengmei Jin, Wen Hua, Matteo Francia, Pingfu Chao, Maria E. Orlowska, Xiaofang Zhou:
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing. IEEE Trans. Knowl. Data Eng. 35(6): 5577-5596 (2023) - [j218]Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou:
A Learned Index for Exact Similarity Search in Metric Spaces. IEEE Trans. Knowl. Data Eng. 35(8): 7624-7638 (2023) - [j217]Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou:
Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35(8): 8386-8401 (2023) - [j216]Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Trans. Knowl. Data Eng. 35(9): 9656-9670 (2023) - [j215]Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou:
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System. IEEE Trans. Knowl. Data Eng. 35(10): 9932-9945 (2023) - [j214]Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - [j213]Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou:
Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10265-10280 (2023) - [j212]Mengxuan Zhang, Lei Li, Goce Trajcevski, Andreas Züfle, Xiaofang Zhou:
Parallel Hub Labeling Maintenance With High Efficiency in Dynamic Small-World Networks. IEEE Trans. Knowl. Data Eng. 35(11): 11751-11768 (2023) - [j211]Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou:
HFUL: a hybrid framework for user account linkage across location-aware social networks. VLDB J. 32(1): 1-22 (2023) - [j210]Jiajia Li, Cancan Ni, Dan He, Lei Li, Xiufeng Xia, Xiaofang Zhou:
Efficient kNN query for moving objects on time-dependent road networks. VLDB J. 32(3): 575-594 (2023) - [j209]Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
Multi-constraint shortest path using forest hop labeling. VLDB J. 32(3): 595-621 (2023) - [j208]Tianyu Zhu, Wen Hua, Jianfeng Qu, Saeid Hosseini, Xiaofang Zhou:
Auto-regressive extractive summarization with replacement. World Wide Web (WWW) 26(4): 2003-2026 (2023) - [j207]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) 26(5): 2835-2854 (2023) - [c292]Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou:
ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction. CIKM 2023: 1208-1217 - [c291]Jiajia Li, Mingshen Wang, Lei Li, Kexuan Xin, Wen Hua, Xiaofang Zhou:
Trajectory Representation Learning Based on Road Network Partition for Similarity Computation. DASFAA (1) 2023: 396-413 - [c290]Xiaofang Zhou, Yezheng Liu:
Message from the General Chairs DSC 2023. DSC 2023: 1 - [c289]Jiajia Li, Xing Xiong, Lei Li, Dan He, Chuanyu Zong, Xiaofang Zhou:
Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks. ICDE 2023: 368-380 - [c288]Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou:
ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. ICDE 2023: 1340-1352 - [c287]Bolong Zheng, Yong Ma, Jingyi Wan, Yongyong Gao, Kai Huang, Xiaofang Zhou, Christian S. Jensen:
Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks. ICDE 2023: 1678-1690 - [c286]Weijie Shi, Jiajie Xu, Junhua Fang, Pingfu Chao, An Liu, Xiaofang Zhou:
LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map Matching. ICDE 2023: 2429-2442 - [c285]Yehong Xu, Lei Li, Mengxuan Zhang, Zizhuo Xu, Xiaofang Zhou:
Global Routing Optimization In Road Networks. ICDE 2023: 2524-2537 - [c284]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. ICDE 2023: 2673-2685 - [c283]Bolong Zheng, Ziyang Yue, Qi Hu, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen:
Learned Probing Cardinality Estimation for High-Dimensional Approximate NN Search. ICDE 2023: 3209-3221 - [c282]Bolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen:
RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion. SIGIR 2023: 1458-1467 - [c281]Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou:
Controllable Universal Fair Representation Learning. WWW 2023: 949-959 - [c280]Yu Liu, Wen Hua, Kexuan Xin, Saeid Hosseini, Xiaofang Zhou:
TEA: Time-aware Entity Alignment in Knowledge Graphs. WWW 2023: 2591-2599 - [i39]Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, Xiaofang Zhou:
Sequential Recommendation with Diffusion Models. CoRR abs/2304.04541 (2023) - [i38]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - [i37]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i36]Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou:
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks. CoRR abs/2308.06960 (2023) - [i35]Mengxuan Zhang, Xinjie Zhou, Lei Li, Ziyi Liu, Goce Trajcevski, Yan Huang, Xiaofang Zhou:
A Universal Scheme for Partitioned Dynamic Shortest Path Index. CoRR abs/2310.08213 (2023) - [i34]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - [i33]Yaoxian Song, Penglei Sun, Haoyu Liu, Zhixu Li, Wei Song, Yanghua Xiao, Xiaofang Zhou:
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI. CoRR abs/2311.03783 (2023) - [i32]Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou:
Multi-Modality is All You Need for Transferable Recommender Systems. CoRR abs/2312.09602 (2023) - 2022
- [j206]Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
FHL-Cube: Multi-Constraint Shortest Path Querying with Flexible Combination of Constraints. Proc. VLDB Endow. 15(11): 3112-3125 (2022) - [j205]Zihan Luo, Lei Li, Mengxuan Zhang, Wen Hua, Yehong Xu, Xiaofang Zhou:
Diversified Top-k Route Planning in Road Network. Proc. VLDB Endow. 15(11): 3199-3212 (2022) - [j204]Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou:
VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. Proc. VLDB Endow. 15(12): 3634-3637 (2022) - [j203]Ming Dong, Bolong Zheng, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou:
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1068-1078 (2022) - [j202]Bolong Zheng, Lingfeng Ming, Qi Hu, Zhipeng Lü, Guanfeng Liu, Xiaofang Zhou:
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management. ACM Trans. Intell. Syst. Technol. 13(3): 37:1-37:19 (2022) - [j201]Yongxuan Lai, Shipeng Yang, Anshu Xiong, Fan Yang, Lei Li, Xiaofang Zhou:
Utility-Based Matching of Vehicles and Hybrid Requests on Rider Demand Responsive Systems. IEEE Trans. Intell. Transp. Syst. 23(2): 1058-1072 (2022) - [j200]Dan He, Thomas Zhou, Xiaofang Zhou, Jiwon Kim:
An Efficient Algorithm for Maximum Trajectory Coverage Query With Approximation Guarantee. IEEE Trans. Intell. Transp. Syst. 23(12): 24031-24043 (2022) - [j199]Pingfu Chao, Wen Hua, Rui Mao, Jiajie Xu, Xiaofang Zhou:
A Survey and Quantitative Study on Map Inference Algorithms From GPS Trajectories. IEEE Trans. Knowl. Data Eng. 34(1): 15-28 (2022) - [j198]Lei Li, Sibo Wang, Xiaofang Zhou:
Fastest Path Query Answering using Time-Dependent Hop-Labeling in Road Network. IEEE Trans. Knowl. Data Eng. 34(1): 300-313 (2022) - [j197]Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 448-461 (2022) - [j196]An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou:
Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Trans. Knowl. Data Eng. 34(5): 2387-2400 (2022) - [j195]Mengxuan Zhang, Lei Li, Wen Hua, Xiaofang Zhou:
Stream Processing of Shortest Path Query in Dynamic Road Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2458-2471 (2022) - [j194]Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2512-2524 (2022) - [j193]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3447-3460 (2022) - [j192]Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou:
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. IEEE Trans. Knowl. Data Eng. 34(7): 3461-3477 (2022) - [j191]