I am a PhD student majoring in Statistics at Peking University, where I am fortunate to be advised by Prof. Xiao-Hua Zhou, coadvised by Prof. Zhouchen Lin. I am also a visiting Ph.D student at the School of Computing, National University of Singapore (NUS) supervised by Prof. See-Kiong Ng and Prof. Tat-Seng Chua. My research interests mainly include trustworthy recommendation systems and causal inference methods. I have published over 20 papers in top conferences such as ICML, NeurIPS, ICLR, WWW, KDD, CVPR, and AAAI, and was awarded the “JinDouYun" top talent research intern at ByteDance. I have also served as the reviewer for top conferences and journals like ICML, NeurIPS, ICLR, WWW, KDD, SIGIR, ACMMM, RecSys, TKDE, and TOIS.

Selected Publications

In the Year of 2025:

pdf	Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation Chunyuan Zheng, Haocheng Yang, Jinkun Chen, Shufeng Zhang and Tianyu Xia AAAI 2026 (Full, Accepted Rate: 4.72%)    (Oral)

pdf	Uplift Modeling with Delayed Feedback: Identifiability and Algorithms Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li and Zhouchen Lin AAAI 2026 (Full, Accepted Rate: 17.6%)

pdf	Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data Hang Pan, Chunyuan Zheng, Wenjie Wang, Jingang Jiang, Xueying Li, Haoxuan Li and Fuli Feng ACM Transactions on Information Systems (TOIS, CCF-A)

pdf	Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random Chunyuan Zheng, Haocheng Yang, Haoxuan Li and Mengyue Yang NeurIPS 2025 (Full, Accepted Rate: 24.52%)

pdf	Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo and Kun Zhang NeurIPS 2025 (Full, Accepted Rate: 24.52%)

pdf	Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Xiaofei Zhu, Haoxuan Li and Li Liu KDD 2025 (Full, Accepted Rate: 18.4%)

pdf	Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction Chunyuan Zheng, Hang Pan, Yang Zhang and Haoxuan Li SIGIR 2025 (Full, Accepted Rate: 21.5%)

pdf	Visual Representation Learning through Causal Intervention for Controllable Image Editing Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang and Li Liu CVPR 2025 (Full, Accepted Rate: 2.98%)    (Highlight)

pdf	Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang and Li Liu CVPR 2025 (Full, Accepted Rate: 22.1%)

pdf	CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li and Li Liu WWW 2025 (Full, Accept Rate: 20.0%)

pdf	Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao and Li Liu AAAI 2025 (Full, Accepted Rate: 4.63%)   (Oral)

pdf	HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li and Li Liu AAAI 2025 (Full, Accepted Rate: 4.63%)   (Oral)

pdf	A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li and Mingming Gong KDD 2025 (Full, Accepted Rate: 19%)

pdf	Classifying Treatment Responders: Bounds and Algorithms Anpeng Wu#, Haoxuan Li#, Chunyuan Zheng#, Kun Kuang and Kun Zhang KDD 2025 (Full, Accepted Rate: 19%)    # Equal Contribution

In the Year of 2024:

pdf	Debiased Recommendation with Noisy Feedback Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng and Xiao-Hua Zhou KDD 2024 (Full, Accepted Rate: 20%)   (Oral)

pdf	Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Hao Wang, Peng Wu, Zhi Geng, Xu Chen and Xiao-Hua Zhou ICML 2024 (Full, Accepted Rate: 3.6%)    (Spotlight)

pdf	Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen and Peng Cui ICLR 2024 (Full, Accepted Rate: 5%)    (Spotlight)

pdf	Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng and Xiangnan He ICLR 2024 (Full, Accepted Rate: 31%)

pdf	Uncovering the Propensity Identification Problem in Debiased Recommendations Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo and Peng Wu ICDE 2024 (Full, Accepted Rate: 22.75%)

In the Year of 2023:

pdf	Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He and Peng Wu NeurIPS 2023 (Full, Accepted Rate: 26.1%)

pdf	Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng and Li Liu ACMMM 2023 (Full, Accept Rate: 29.3%)

pdf	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 and Xiao-Hua Zhou RecSys 2023 (Short, Accepted Rate: 25.3%)

pdf	Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu and Peng Cui KDD 2023 (Full, Accept Rate: 22.1%)   (Oral)

pdf	Propensity Matters: Measuring and Enhancing Balancing for Recommendation Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu and Peng Cui ICML 2023 (Full, Accept Rate: 27.9%)

pdf	Trustworthy Policy Learning under the Counterfactual No-Harm Criterion Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu and Peng Wu ICML 2023 (Full, Accept Rate: 27.9%)

pdf	Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li, Yanghao Xiao, Chunyuan Zheng and Peng Wu WWW 2023 (Full, Accept Rate: 19.2%)

pdf	TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li, Yan Lyu, Chunyuan Zheng and Peng Wu ICLR 2023 (Full, Accepted Rate: 31.8%)

pdf	StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li, Chunyuan Zheng and Peng Wu ICLR 2023 (Full, Accepted Rate: 31.8%)

Workshops

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AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques Haoxuan Li (co-chair), Zhouchen Lin (co-chair), Yan Liu (co-chair), Xiao-Hua Zhou (co-chair), Yongqiang Chen, Mingming Gong, Amit Sharma, Hao Wang, Jun Wang, Mengyue Yang, Hanwang Zhang, Kun Zhang, Min Zhang and Chunyuan Zheng (alpha-beta order) AAAI 2025    Website

pdf	ICDM 2025 Workshop on User Modeling and Recommendation Yanghao Xiao, Chunyuan Zheng, Hao Wang, Yang Zhang, Haoxuan Li, Wenjie Wang, Fuli Feng and Xu Chen ICDM 2025    Website

Patents

pdf	一种存在延迟反馈的药物不良反应预测方法和系统 Xiao-Hua Zhou, Taojun Hu, Chunyuan Zheng, Haochen Sui and Haoxuan Li Patent Number: ZL 2025 1 0376871.1

pdf	基于非随机缺失数据处理结局测量误差的推荐方法和系统 Xiao-Hua Zhou, Haoxuan Li and Chunyuan Zheng Patent Number: ZL 2023 1 1815813.1

pdf	一种推荐系统预测模型的训练方法 Xiao-Hua Zhou, Haoxuan Li and Chunyuan Zheng Patent Number: ZL 2023 1 1812694.4

pdf	一种基于缺失数据填补的推荐方法和系统 Xiao-Hua Zhou, Haoxuan Li and Chunyuan Zheng Patent Number: ZL 2023 1 1206930.8

pdf	反事实公平性的预测模型训练方法、预测方法及其装置 Yue Liu, Haoxuan Li, Chunyuan Zheng, Zhi Geng and Kun Zhang Patent Number: ZL 2023 1 1236303.9

pdf	一种满足反事实无害标准的可信策略学习方法及装置 Yue Liu, Chunyuan Zheng, Haoxuan Li, Peng Wu, Yixiao Cao and Zhi Geng Patent Number: ZL 2023 1 0916949.5

pdf	一种基于协同过滤的中医证素预测方法 Xiao-Hua Zhou, Yan Lyu, Chunyuan Zheng and Haoxuan Li Patent Number: ZL 2024 1 1382188.0

Selected Awards

National Scholarship (国家奖学金),    2025    - Ministry of Education, China

Peking University President Scholarship (北京大学校长奖学金),    2025    - Peking University

Top Award (北京大学第三十四届“挑战杯”特等奖),    2025    - "Challenge Cup" at Peking University

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