default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiuqiang He 0001
XiuQiang He 0001
Person information
- affiliation: Tencent, FiT, Shenzhen, China
- affiliation (former): Huawei, Noah's Ark Lab, Shenzhen, China
- affiliation (PhD): Hong Kong University of Science and Technology (HKUST), Department of Computer Science and Engineering, Hong Kong
- affiliation (former): Xi'an Jiaotong University, School of Electronics and Information Engineering, China
Other persons with the same name
- Xiuqiang He 0002
![[0000-0002-3755-7553]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3755-7553")
— ETH Zurich, Automatic Control Laboratory; Zürich, Switzerland (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c99]Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming:
Scenario Shared Instance Modeling for Click-through Rate Prediction. KDD (1) 2025: 2436-2447- [c98]Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu:
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. WSDM 2025: 744-753 - [i73]Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. CoRR abs/2503.03165 (2025) - [i72]Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Dugang Liu, Shiwei Li, Peiyang Liu, Bowei He, Weihong Luo, Xiuqiang He, Chen Ma:
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. CoRR abs/2503.04162 (2025) - 2024
- [c97]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CIKM 2024: 2523-2533 - [c96]Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He:
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. DASFAA (7) 2024: 121-138 - [c95]Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li:
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. ICML 2024 - [c94]Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma:
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD 2024: 5093-5104 - [c93]Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li:
Masked Random Noise for Communication-Efficient Federated Learning. ACM Multimedia 2024: 3686-3694 - [c92]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys 2024: 329-339 - [c91]Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He:
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. RecSys 2024: 560-569 - [c90]Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM 2024: 289-297 - [c89]Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming:
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR 2024: 956-965 - [c88]Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - [i71]Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He:
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. CoRR abs/2401.01525 (2024) - [i70]Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He:
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR abs/2401.03428 (2024) - [i69]Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR abs/2401.06557 (2024) - [i68]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR abs/2403.17442 (2024) - [i67]Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma:
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. CoRR abs/2405.15301 (2024) - [i66]Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR abs/2406.00335 (2024) - [i65]Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li:
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. CoRR abs/2408.03215 (2024) - [i64]Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li:
Masked Random Noise for Communication Efficient Federaetd Learning. CoRR abs/2408.03220 (2024) - [i63]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CoRR abs/2408.08585 (2024) - [i62]Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He:
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. CoRR abs/2408.11623 (2024) - [i61]Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li:
Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR abs/2409.20305 (2024) - [i60]Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma:
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. CoRR abs/2410.12229 (2024) - [i59]Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue (Steve) Liu:
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. CoRR abs/2411.15731 (2024) - [i58]Dihong Gong, Pu Lu, Zelong Wang, Meng Zhou, Xiuqiang He:
Training Agents with Weakly Supervised Feedback from Large Language Models. CoRR abs/2411.19547 (2024) - 2023
- [j22]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35(4): 3389-3403 (2023) - [j21]Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu:
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4018-4032 (2023) - [j20]Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - [j19]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu:
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41(4): 98:1-98:31 (2023) - [j18]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - [j17]Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [j16]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1(1): 1-27 (2023) - [c87]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) 2023: 580-592 - [c86]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD 2023: 4507-4515 - [c85]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming:
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia 2023: 995-1003 - [c84]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS 2023 - [c83]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) 2023: 567-584 - [c82]Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He:
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. SIGIR 2023: 1914-1918 - [c81]Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW 2023: 1673-1682 - [c80]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. WWW 2023: 3386-3395 - [i57]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. CoRR abs/2301.10909 (2023) - [i56]Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu:
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR abs/2302.02241 (2023) - [i55]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR abs/2302.03419 (2023) - [i54]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - [i53]Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He:
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. CoRR abs/2305.01514 (2023) - [i52]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR abs/2306.00315 (2023) - [i51]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR abs/2306.13382 (2023) - [i50]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR abs/2310.15342 (2023) - 2022
- [j15]Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He, Jianxi Yang:
Click-through rate prediction using transfer learning with fine-tuned parameters. Inf. Sci. 612: 188-200 (2022) - [j14]Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33(2): 694-706 (2022) - [j13]Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu:
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. 40(2): 25:1-25:29 (2022) - [c79]Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI 2022: 8945-8953 - [c78]Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian:
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR 2022: 1310-1321 - [c77]Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE 2022: 727-740 - [c76]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE 2022: 1450-1462 - [c75]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR 2022: 2692-2697 - [c74]Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He:
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. WSDM 2022: 553-561 - [c73]Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu:
Improving Knowledge Tracing with Collaborative Information. WSDM 2022: 599-607 - [c72]Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He:
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. WSDM 2022: 1081-1089 - [c71]Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He:
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) 2022: 62-66 - [c70]Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He:
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. WWW 2022: 2906-2915 - [i49]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i48]Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He:
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. CoRR abs/2203.09129 (2022) - [i47]Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He:
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR abs/2203.12267 (2022) - [i46]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR abs/2204.11165 (2022) - [i45]Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR abs/2206.05749 (2022) - [i44]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. CoRR abs/2206.08621 (2022) - [i43]Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR abs/2207.02773 (2022) - 2021
- [j12]Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. IEEE Access 9: 139303-139314 (2021) - [j11]Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang:
Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA. IEEE Trans. Image Process. 30: 5477-5489 (2021) - [j10]Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu:
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. ACM Trans. Knowl. Discov. Data 15(4): 55:1-55:21 (2021) - [c69]Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma:
Graph Heterogeneous Multi-Relational Recommendation. AAAI 2021: 3958-3966 - [c68]Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). AAAI 2021: 15945-15946 - [c67]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM 2021: 1243-1252 - [c66]Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM 2021: 1253-1262 - [c65]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351 - [c64]Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He:
Open Benchmarking for Click-Through Rate Prediction. CIKM 2021: 2759-2769 - [c63]Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He:
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. CIKM 2021: 3757-3766 - [c62]Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He:
UNBERT: User-News Matching BERT for News Recommendation. IJCAI 2021: 3356-3362 - [c61]Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. IJCAI 2021: 4695-4703 - [c60]Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo:
BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. IPDPS 2021: 609-618 - [c59]Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He:
Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD 2021: 496-504 - [c58]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. KDD 2021: 1379-1389 - [c57]Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He:
An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD 2021: 2910-2918 - [c56]Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang:
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM 2021: 139-144 - [c55]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia 2021: 3881-3890 - [c54]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [c53]Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang:
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. SIGIR 2021: 1114-1124 - [c52]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. SIGIR 2021: 1259-1268 - [c51]Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu:
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. SIGIR 2021: 1269-1278 - [c50]Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He:
AMM: Attentive Multi-field Matching for News Recommendation. SIGIR 2021: 1588-1592 - [c49]Jinpeng Wang, Jieming Zhu, Xiuqiang He:
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. SIGIR 2021: 1632-1636 - [c48]Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu:
RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. SIGIR 2021: 1773-1777 - [c47]Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He:
Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. WWW 2021: 756-767 - [c46]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. WWW 2021: 1809-1820 - [i42]Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. CoRR abs/2104.00305 (2021) - [i41]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. CoRR abs/2104.06077 (2021) - [i40]Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu:
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. CoRR abs/2104.08542 (2021) - [i39]Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. CoRR abs/2104.10584 (2021) - [i38]Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He:
Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR abs/2106.00314 (2021) - [i37]Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He:
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction. CoRR abs/2106.04873 (2021) - [i36]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR abs/2108.01265 (2021) - [i35]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR abs/2108.05252 (2021) - [i34]Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen:
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR abs/2108.05652 (2021) - [i33]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR abs/2109.02444 (2021) - [i32]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR abs/2109.12613 (2021) - [i31]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. CoRR abs/2109.12651 (2021) - [i30]Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu:
Context-aware Reranking with Utility Maximization for Recommendation. CoRR abs/2110.09059 (2021) - [i29]Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He:
Content Filtering Enriched GNN Framework for News Recommendation. CoRR abs/2110.12681 (2021) - [i28]Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CoRR abs/2110.15114 (2021) - [i27]Jinpeng Wang, Jieming Zhu, Xiuqiang He:
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. CoRR abs/2110.15154 (2021) - [i26]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR abs/2111.03318 (2021) - [i25]Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. CoRR abs/2111.08229 (2021) - [i24]Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR abs/2111.15068 (2021) - [i23]Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King:
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR abs/2112.01944 (2021) - 2020
- [j9]Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He:
Top-aware reinforcement learning based recommendation. Neurocomputing 417: 255-269 (2020) - [j8]Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He:
State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. 205: 106170 (2020) - [c45]Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI 2020: 67-74 - [c44]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI 2020: 6340-6347 - [c43]Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang:
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM 2020: 155-164 - [c42]Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He:
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. CIKM 2020: 625-634 - [c41]Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng:
Personalized Re-ranking with Item Relationships for E-commerce. CIKM 2020: 925-934 - [c40]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM 2020: 2373-2380 - [c39]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CIKM 2020: 2941-2958 - [c38]Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates:
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD 2020: 2030-2039 - [c37]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. KDD 2020: 2636-2645 - [c36]Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin:
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM 2020: 202-209 - [c35]Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He:
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. ACM Multimedia 2020: 4098-4106 - [c34]Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He:
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding. NeurIPS 2020 - [c33]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569 - [c32]Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He:
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. SDM 2020: 82-90 - [c31]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020: 179-188 - [c30]Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li:
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. SIGIR 2020: 199-208 - [c29]Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR 2020: 831-840 - [c28]Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates:
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR 2020: 1289-1298 - [c27]Xu Chen, Changying Du, Xiuqiang He, Jun Wang:
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR 2020: 1681-1684 - [c26]Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Branch Convolutional Network for Context-Aware Recommendation. SIGIR 2020: 1709-1712 - [c25]Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong:
Influence Function for Unbiased Recommendation. SIGIR 2020: 1929-1932 - [c24]Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He:
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. SIGIR 2020: 2327-2336 - [c23]Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He:
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. WSDM 2020: 384-392 - [c22]Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He:
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. WWW (Companion Volume) 2020: 26-27 - [c21]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW 2020: 2507-2513 - [i22]Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Graph Convolution Collaborative Filtering. CoRR abs/2001.00267 (2020) - [i21]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR abs/2001.10378 (2020) - [i20]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. CoRR abs/2003.11235 (2020) - [i19]Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He:
Personalized Re-ranking for Improving Diversity in Live Recommender Systems. CoRR abs/2004.06390 (2020) - [i18]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR abs/2006.10389 (2020) - [i17]Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He:
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. CoRR abs/2008.08257 (2020) - [i16]Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He:
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. CoRR abs/2008.11567 (2020) - [i15]Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He:
A Practical Incremental Method to Train Deep CTR Models. CoRR abs/2009.02147 (2020) - [i14]Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He:
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. CoRR abs/2009.05794 (2020) - [i13]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR abs/2011.00550 (2020) - [i12]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CoRR abs/2011.04106 (2020) - [i11]Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He:
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR abs/2012.08986 (2020)
2010 – 2019
- 2019
- [j7]Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He:
Model-free inference of diffusion networks using RKHS embeddings. Data Min. Knowl. Discov. 33(2): 499-525 (2019) - [j6]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. 37(1): 5:1-5:35 (2019) - [c20]Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-graph Convolution Collaborative Filtering. ICDM 2019: 1306-1311 - [i10]Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu:
Learning Cross-Domain Representation with Multi-Graph Neural Network. CoRR abs/1905.10095 (2019) - [i9]Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He:
Modeling the Past and Future Contexts for Session-based Recommendation. CoRR abs/1906.04473 (2019) - [i8]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR abs/1912.01321 (2019) - 2018
- [c19]Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He:
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. DASFAA (2) 2018: 184-200 - [c18]Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang:
Field-aware probabilistic embedding neural network for CTR prediction. RecSys 2018: 412-416 - [i7]Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He:
Federated Meta-Learning for Recommendation. CoRR abs/1802.07876 (2018) - [i6]Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He:
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. CoRR abs/1802.08401 (2018) - [i5]Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu:
Collaborative Filtering with Graph-based Implicit Feedback. CoRR abs/1803.03502 (2018) - [i4]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong:
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR abs/1804.04950 (2018) - [i3]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. CoRR abs/1807.00311 (2018) - 2017
- [c17]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
A Graph-Based Push Service Platform. DASFAA (2) 2017: 636-648 - [c16]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. IJCAI 2017: 1725-1731 - [c15]Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He:
Holistic Neural Network for CTR Prediction. WWW (Companion Volume) 2017: 787-788 - [i2]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR abs/1703.04247 (2017) - 2016
- [i1]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
A Graph-based Push Service Platform. CoRR abs/1611.09496 (2016) - 2015
- [c14]Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai:
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. AAAI 2015: 439-445 - [c13]Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang:
Mining target users for online marketing based on App Store data. IEEE BigData 2015: 1043-1052 - [c12]Ruiming Tang, Huayu Wu, Xiuqiang He, Stéphane Bressan:
Valuating Queries for Data Trading in Modern Cities. ICDM Workshops 2015: 414-421 - 2014
- [j5]Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang:
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. 7(13): 1561-1564 (2014) - 2012
- [c11]Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui:
A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. Networking (1) 2012: 318-330 - 2010
- [j4]Xiuqiang He, Zonghua Gu, Yongxin Zhu:
Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric Programming. Comput. J. 53(7): 1071-1091 (2010) - [j3]Mingxuan Yuan, Zonghua Gu, Xiuqiang He, Xue Liu, Lei Jiang:
Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs. ACM Trans. Design Autom. Electr. Syst. 15(2): 13:1-13:41 (2010)
2000 – 2009
- 2009
- [j2]Zonghua Gu, Weichen Liu, Jiang Xu, Jin Cui, Xiuqiang He, Qingxu Deng:
Efficient algorithms for 2D area management and online task placement on runtime reconfigurable FPGAs. Microprocess. Microsystems 33(5-6): 374-387 (2009) - 2008
- [j1]Xiuqiang He, Mingxuan Yuan, Zonghua Gu:
A Hierarchical Framework for Design Space Exploration and Optimization of TTP-Based Distributed Embedded Systems. IEEE Trans. Ind. Informatics 4(4): 237-249 (2008) - [c10]Mingxuan Yuan, Xiuqiang He, Zonghua Gu:
Hardware/Software Partitioning and Static Task Scheduling on Runtime Reconfigurable FPGAs using a SMT Solver. IEEE Real-Time and Embedded Technology and Applications Symposium 2008: 295-304 - [c9]Weichen Liu, Mingxuan Yuan, Xiuqiang He, Zonghua Gu, Xue Liu:
Efficient SAT-Based Mapping and Scheduling of Homogeneous Synchronous Dataflow Graphs for Throughput Optimization. RTSS 2008: 492-504 - 2007
- [c8]Zonghua Gu, Xiuqiang He, Mingxuan Yuan:
Optimization of Static Task and Bus Access Schedules for Time-Triggered Distributed Embedded Systems with Model-Checking. DAC 2007: 294-299 - [c7]Jin Cui, Qingxu Deng, Xiuqiang He, Zonghua Gu:
An efficient algorithm for online management of 2D area of partially reconfigurable FPGAs. DATE 2007: 129-134 - [c6]Zonghua Gu, Mingxuan Yuan, Xiuqiang He:
Optimal Static Task Scheduling on Reconfigurable Hardware Devices Using Model-Checking. IEEE Real-Time and Embedded Technology and Applications Symposium 2007: 32-44 - [c5]Zonghua Gu, Mingxuan Yuan, Nan Guan, Mingsong Lv, Xiuqiang He, Qingxu Deng, Ge Yu:
Static Scheduling and Software Synthesis for Dataflow Graphs with Symbolic Model-Checking. RTSS 2007: 353-364 - 2005
- [c4]Yinfeng Wang, Xiaoshe Dong, Xiuqiang He, Hua Guo, Fang Zheng, Zhongsheng Qin:
A Constellation Model for Grid Resource Management. APPT 2005: 263-272 - [c3]Yinfeng Wang, Xiaoshe Dong, Hua Guo, Xiuqiang He, GuoRong Liu:
A Constellation Resource Discovery Model Based on Scalable Multi-tape Universal Turing Machine. GCC 2005: 633-644 - [c2]Xiaoshe Dong, Yinfeng Wang, Xiuqiang He, Hua Guo, Fang Zheng, Weiguo Wu:
The Campus Resource Management Based on Constellation Model in the ChinaGrid. ISPA Workshops 2005: 249-256 - [c1]Xiaoshe Dong, Xiuqiang He, Hua Guo, Wancheng Li, Xingjun Zhang:
Construction of Overlay Network in P2P-based Resource Discovery Model in Grid Environment. SKG 2005: 27
Coauthor Index
[j22] [j21] [j19] [j15] [j13] [c77] [c76] [c75] [c73] [c72] [c71] [i47] [i46] [i44] [j12] [c63] [c61] [c59] [c58] [c57] [c52] [c51] [c46] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i30] [i29] [i26] [i25] [i24] [i23] [j9] [j8] [c43] [c42] [c41] [c40] [c38] [c37] [c31] [c30] [c28] [c26] [c24] [c23] [c22] [i22] [i20] [i19] [i18] [i16] [i15] [i13] [i11] [j6] [c20] [c19] [c18] [i6] [i5] [i4] [i3] [c17] [c16] [c15] [i2] [i1] [c13] [c12]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-03 01:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
