| 2026 | SIGIR | Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels. | Yan Lyu, Haoxuan Li, Tianyu Xia, Xiang Li, Xiangnan Feng, Chunyuan Zheng, Xiao-Hua Zhou |
| 2024 | ACL | Phased Instruction Fine-Tuning for Large Language Models. | Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang |
| 2024 | ICDM | UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. | Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou |
| 2024 | ICML | Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. | Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou |
| 2024 | KDD | Debiased Recommendation with Noisy Feedback. | Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou |
| 2023 | AAAI | Multiple Robust Learning for Recommendation. | Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu |
| 2023 | RecSys | ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. | Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou |
| 2022 | CIKM | Convolutional Transformer Networks for Epileptic Seizure Detection. | Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji |
| 2022 | IJCAI | On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. | Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou |
| 2022 | KDD | A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. | Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun |
| 2021 | ACL | Prevent the Language Model from being Overconfident in Neural Machine Translation. | Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou |