Peng Wu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 17

Top Topics

Collaborative Filtering

Latent Factor Models

Recommender Systems

Top Venues

Publications

Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR (2024)
Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng
Policy Learning for Balancing Short-Term and Long-Term Rewards. CoRR (2024)
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. CoRR (2024)
Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng
Local Causal Structure Learning in the Presence of Latent Variables. CoRR (2024)
Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu
Uncovering the Propensity Identification Problem in Debiased Recommendations. ICDE (2024)
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. SIGIR (2024)
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR (2024)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML (2023)
Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He
Causal Recommendation: Progresses and Future Directions. SIGIR (2023)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. WWW (2023)
Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. ICLR (2023)
Haoxuan Li, Chunyuan Zheng, Peng Wu
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. ICLR (2023)
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. CoRR (2023)
Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD (2023)
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
Multiple Robust Learning for Recommendation. AAAI (2023)