Jiawei Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 60

Top Topics

Influence Maximization

Reinforcement Learning

Graph Classification

Sampling Strategy

Top Venues

ACM Trans. Inf. Syst.

Publications

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang
Motif-driven Subgraph Structure Learning for Graph Classification. CoRR (2024)
Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
Distributionally Robust Graph-based Recommendation System. CoRR (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR (2024)
Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
SIGformer: Sign-aware Graph Transformer for Recommendation. SIGIR (2024)
Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. SIGIR (2024)
Weizhi Nie, Xin Wen, Jing Liu, Jiawei Chen, Jiancan Wu, Guoqing Jin, Jing Lu, An-An Liu
Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. IEEE Trans. Multim. 26 (2024)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE (2024)
Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
Distributionally Robust Graph-based Recommendation System. WWW (2024)
Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR (2024)
Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR (2024)
Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42 (1) (2024)
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR (2024)
Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR (2024)
Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang
EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems. CoRR (2024)
Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu
Revisiting the Message Passing in Heterophilous Graph Neural Networks. CoRR (2024)
Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
SIGformer: Sign-aware Graph Transformer for Recommendation. CoRR (2024)
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
Unbiased Knowledge Distillation for Recommendation. WSDM (2023)
Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CoRR (2023)
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41 (3) (2023)
Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR (2023)
Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4 (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. WWW (2023)
Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CIKM (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CoRR (2023)
Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
Robust Sequence Networked Submodular Maximization. AAAI (2023)
Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie
Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
SamWalker++: Recommendation With Informative Sampling Strategy. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CIKM (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR (2023)
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR (2023)
Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR (2022)
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR (2022)
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR (2022)
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM (2022)
Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen
Robust Sequence Networked Submodular Maximization. CoRR (2022)
Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. WWW (2022)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. ICCV (2021)
Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang
Profit maximization for competitive social advertising. Theor. Comput. Sci. 868 (2021)
Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. 39 (3) (2021)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. CoRR (2021)
Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
SamWalker++: recommendation with informative sampling strategy. CoRR (2020)
Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR (2020)
Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang
DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI (2020)
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR (2020)
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI (2020)
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR (2019)
Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen
Post and repost: A holistic view of budgeted influence maximization. Neurocomputing 338 (2019)
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
SamWalker: Social Recommendation with Informative Sampling Strategy. WWW (2019)
Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen
Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. ICDE (2019)
Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen
Location driven influence maximization: Online spread via offline deployment. Knowl. Based Syst. 166 (2019)
Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen
Social recommendation based on users' attention and preference. Neurocomputing 341 (2019)
Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM (2018)
Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen
Social Recommendation with Missing Not at Random Data. ICDM (2018)