Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. - Sihao Ding 003; Peng Wu 012; Fuli Feng; Yitong Wang; Xiangnan He 001; Yong Liao; Yongdong Zhang 001 (KDD, 2022)

Interpolative Distillation for Unifying Biased and Debiased Recommendation. - Sihao Ding 003; Fuli Feng; Xiangnan He 001; Jinqiu Jin; Wenjie Wang 007; Yong Liao; Yongdong Zhang 001 (SIGIR, 2022)

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. - Jinqiu Jin; Haoxuan Li 001; Fuli Feng; Sihao Ding 003; Peng Wu 012; Xiangnan He 001 (NeurIPS, 2023)

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. - Haoxuan Li 001; Chunyuan Zheng 001; Sihao Ding 003; Peng Wu 012; Zhi Geng; Fuli Feng; Xiangnan He 001 (ICLR, 2024)

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. - Jinqiu Jin; Sihao Ding 003; Wenjie Wang 007; Fuli Feng (WWW (Companion Volume), 2024)

Causal Incremental Graph Convolution for Recommender System Retraining. - Sihao Ding 003; Fuli Feng; Xiangnan He 001; Yong Liao; Jun Shi; Yongdong Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unconditional Diffusion for Generative Sequential Recommendation. - Yimeng Bai; Yang Zhang 072; Sihao Ding 003; Shaohui Ruan; Han Yao; Danhui Guan; Fuli Feng; Tat-Seng Chua (CoRR, 2025)