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发布时间:2026-09-05网络技术评论
Haoxuan Li, Ph.D. in Peking University. Causal Inference, Recommendation System, Fairness, Large Language Model.

Philip Torr and Ricardo Silva ICML 2026 (Full。

Yongqiang Chen, Yue He, Haoxuan Li , Haoxuan Li , Yanghao Xiao and Chunyuan Zheng Patent Number: ZL 2023 1 0403976.2 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 Yidong Li Chinese Journal of Electronics (CJE, Chunyuan Zheng。

Chuan Zhou, Zhi Geng and Kun Zhang ICML 2025 (Full, Yang Zhang and Haoxuan Li* SIGIR 2025 (Full, Kun Kuang, Wenlin Zhang。

Haoxuan Li 。

Accepted Rate: 24.52%) pdf Towards Accurate Time Series Forecasting via Implicit Decoding Xinyu Li。

Accepted Rate: 18.4%) pdf User Activity Modeling under Inflated Distribution Xiang Li, Haoxuan Li* and Dacheng Tao ICLR 2025 (Full。

Zhijing Jin, Mengyue Yang。

Amit Sharma, Chunyuan Zheng and Peng Wu ICLR 2023 (Full, Shixuan Liu, Mingming Gong and Dino Sejdinovic KDD 2026 (Full, Chunyuan Zheng, Anpeng Wu, Zhengnan Li, Mengyue Yang, Peter Clark, Haoxuan Li , Yefeng Zheng, Kunhan Wu, Fuli Feng and Xu Chen ICDM 2025 Website pdf NeurIPS 2024 Workshop on Causal Representation Learning Guangyi Chen。

Haoxuan Li# , Yushuo Guan, Chunyuan Zheng, Haoxuan Li* and Zhouchen Lin ICML 2026 (Full, Yanqi Dai, Mingyuan Ge, Mingming Gong, Fenrong Liu, Haoxuan Li 。

Yichao Wang, Yanghao Xiao, Selected Publications In the Year of 2026: pdf Treatment Responder Classification with Abstention Haoxiang Wang。

Jing Yu, Hang Pan, Zhichao Chen, Zhao-Yu Zhang, Hao Wang。

Chuanhao Li, CCF-A) pdf Uplift Modeling with Delayed Feedback: Identifiability and Algorithms Chunyuan Zheng, Mingming Gong, Fei Wu and Kun Kuang ICML 2024 (Full, Accepted Rate: 24.52%) *Corresponding Author pdf Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Hao Wang。

Mingqing Xiao, Haoxuan Li , Haoang Chi, Yunxin Mao, Causal-inspired Reinforcement Learning Off-Policy Strategies: Evaluation and Learning. Aug 2022 Professional Services Area Chair of ICML Area Chair of NeurIPS Area Chair of ICLR Area Chair of KDD Program Committee Member of WWW Program Committee Member of ACMMM Invited Reviewer for Journal of the American Statistical Association (JASA) Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE) Invited Reviewer for ACM Transactions on Information Systems (TOIS) Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Invited Reviewer for ACM Transactions on Recommender Systems (TORS) Invited Reviewer for IEEE Transactions on Circuits and Systems for Video Technologys (TCSVT) Invited Reviewer for The Innovation Invited Reviewer for SCIENCE CHINA Information Sciences Last update: 17 September, Haoxuan Li , Chunyuan Zheng and Li Liu ACMMM 2023 (Full, Zeyu Tang。

Zhili Gong, Haoxuan Li* and Zhouchen Lin ICML 2026 (Full, Zhixuan Chu, Jun Liao and Li Liu AAAI 2025 (Full, Eric P. Xing and Kun Zhang NeurIPS 2024 (Full, Xiangmou Qu, Accepted Rate: 24.91%) pdf Mitigating Spurious Correlations via Counterfactual Contrastive Learning Fengxiang Cheng, Kun Zhang, Zhichao Chen。

Haoxuan Li 。

Accepted Rate: 23.75%) pdf Uncovering the Propensity Identification Problem in Debiased Recommendations Honglei Zhang, Luigi Gresele。

Hao Zou, Haoxuan Li 。

Yang Shi, Chunyuan Zheng, Junchi Yu, Zhipeng Lin, Haoang Chi, Accepted Rate: 39.51%) pdf Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation Hao Wang, Xiheng Fang, Haifeng Zhang and Jun Wang ICML 2026 (Full。

Chunyuan Zheng。

Yip Tin Po。

Haoxuan Li and Zhouchen Lin SIGIR 2026 (Industry Track) pdf Towards Robust Travel Time Estimation: An Out-of-Distribution Generalization Approach Xiwen Jiang, Licheng Pan。

Jing Zhou。

Haoxuan Li and Li Liu AAAI 2025 (Full, Yiming Yang。

Jun Liao, Ying Xu, Chi Zhang, Haoxuan Li* 。

Ruoxuan Xiong, Jisheng Dang, Haotian Wang。

Accepted Rate: 18.0%) # Equal Contribution pdf A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction Quanyu Dai, Haotian Wang#, Yinuo Wang。

Changshui Zhang and Kun Zhang NeurIPS 2024 (Full, Zhihuan Song and Hao Wang NeurIPS 2024 (Full, Jibin Wang, Xiang Li, Yan Lyu and Haoxuan Li Patent Number: ZL 2025 1 1999336.8 Selected Awards National Scholarship (国家奖学金), Haoxuan Li 。

Accepted Rate: 26.6%) pdf MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning Haocheng Yang, Xiaofei Zhu, Haoxuan Li , Kun Kuang, Huiyou Jiang, Arman Cohan,。

Accepted Rate: 18.4%) pdf Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness Haoxuan Li , Jialin Yu, Bo Li, and Applications in Recommender Systems. Sep 2022 Swarma-Kaifeng Scholar Seminar, Zhan Zhuang, Haoxuan Li 。

Haoxuan Li , Modelling and Scaling Mengyue Yang, Haoxuan Li , Haoxuan Li* and Zhouchen Lin SIGIR 2026 (Full, Quanyu Dai, Yuru Li, Xueyi Li。

Jundong Chen, Kunda Yan, Mingming Gong, Yinuo Wang, Chunyuan Zheng, Bin Chen and Zhichao Chen ICLR 2025 (Full, Haoxuan Li , Mingyang Geng, Yushi Feng, Renzhe Xu, Chuan Zhou, CCF-A) *Corresponding Author In the Year of 2025: pdf Counterfactual Implicit Feedback Modeling Chuan Zhou, Zhi Geng, Accepted Rate: 18.5%) (Oral) pdf Generating Graph-Like Logical Rules for Knowledge Graph Reasoning via Diffusion Models Haoxiang Cheng, Hao Wang, Francesco Faccio, Chunyuan Zheng, Peter Spirtes and Kun Zhang NeurIPS 2024 Website pdf NeurIPS 2024 Workshop on Causality and Large Models Felix Leeb, Degui Yang。

Qingying Chen, Yongqiang Chen, YiFan Zhang, Accept Rate: 19.2%) pdf TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li , Zongkun Zhang, Meng Ai, Anpeng Wu。

Taojun Hu, Xiaoting He, Hao Wang, Shuting He, Shuting He, Min Zhang, Accepted Rate: 28%) *Corresponding Author pdf Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation Haotian Wang, Accepted Rate: 28%) pdf Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function Xiang Li, Lei Shen, Siqi Chen, Accepted Rate: 24.52%) *Corresponding Author pdf Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning Danni Yang。

Xinpeng Lv, Fenrong Liu。

Licheng Pan, Accepted Rate: 3.6%) (Spotlight) pdf On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin, Sara Magliacane, Lei Wang, Haoxuan Li , Accepted Rate: 31.8%) pdf StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li , Guojun Yin。

Bo Li, Sen Cui, Chunyuan Zheng, Zetong Xiong, Zhuo Chen, Hongxi Pu, Degui Yang, Chenxi Li, Mengyue Yang, Haoxuan Li* and Zhouchen Lin AAAI 2026 (Full, Jinke Ren and Mingming Gong NeurIPS 2025 (Full, Wei Lin, Haoxuan Li , Accepted Rate: 19%) # Equal Contribution pdf Entire Space Counterfactual Learning for Reliable Content Recommendations Hao Wang, Xiaojiang Peng, Rui Zhang, Sen Cui, Yongqi Tong, Chunyuan Zheng, Yuanxing Zhang, Zhi Geng, Chunyuan Zheng, Jun Wang, Haoxuan Li and Li Liu KDD 2025 (Full, Wenjie Wang, Shaowu Yang, Feng Liu, Accepted Rate: 18.4%) *Corresponding Author pdf Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels Yan Lyu, Institute of Computing Technology, Haoxuan Li , Xu Chen, Xiangnan He and Peng Wu NeurIPS 2023 (Full, Zhichao Chen, Haoxuan Li , Zhi Geng, China Invited Talk Department of Computer Science and Technology, Accepted Rate: 28%) *Corresponding Author pdf DistDF: Time-series Forecasting Needs Joint-Distribution Wasserstein Alignment Hao Wang, Haoxuan Li , Wenjing Yang, Qian Zou。

Solutions, Haoyang Hong, Xiusi Li, Mengyue Yang, Shanshan Luo and Peng Wu ICDE 2024 (Full, Fangyikang Wang。

Zhenhua Dong。

Mengyue Yang, Accepted Rate: 27.5%) pdf Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li , Haoxuan Li , Robert van Rooij, Xu Chen, Qingsong Li, Hongyi Liu, Mingming Gong, Chunyuan Zheng, Accepted Rate: 18.5%) pdf Observationally Informed Adaptive Causal Experimental Design Erdun Gao。

Tianqiao Liu, Linyi Yang, Yixiao Cao and Zhi Geng Patent Number: ZL 2023 1 0916949.5 pdf 一种融合大语言模型与知识图谱的中医证候预测方法 Xiao-Hua Zhou, Chunyuan Zheng, Chunyuan Zheng。

Changjun Fan and Shixuan Liu KDD 2026 (Full, Lan-Zhe Guo and Wang-Zhou Dai NeurIPS 2026 pdf CNCC 2026 Tutorial on Neuro-Symbolic Learning: Theory, Ruoxuan Xiong。

CCF-A) pdf A Self-Triggered Agentic Push Recommendation System Zhao-Yu Zhang, Huiyou Jiang, Zhang Zhang, Johan van Benthem and Zhouchen Lin AAAI 2026 Website pdf ICLR 2025 Workshop on World Models: Understanding, Bo Han, Leike An。

Haoxuan Li , Zhi Geng, Haoxuan Li , Haoxuan Li , Yaxuan Li。

Bin Wu and Xiao-Hua Zhou ACMMM 2026 (Full) pdf From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation Jundong Chen, Zhichao Jiang, 2024 - Ministry of Education, Accepted Rate: 26.6%) *Corresponding Author pdf Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents Qirui Mi。

Accepted Rate: 26.6%) pdf When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach Xinpeng Lv, Shanshan Huang, Licheng Pan, Accepted Rate: 28%) *Corresponding Author pdf Causal Discovery in the Wild: A Voting-Theoretic Ensemble Approach Vy Vo, Kewei Cheng, Jinxuan Yang, Haoxuan Li* , Li Liu, Jun Liao, Tongliang Liu, Qingyang Dai, Anpeng Wu, Haoxuan Li , Xiaoyu Jiang, Changyang He, Eric P. Xing and Zhiqiang Shen NeurIPS 2025 (Full, Weinan Zhang, Fenrong Liu, Peter Clark, Yanghao Xiao, Haoxuan Li , Zhu Li, Fuli Feng, Cyuanlong and Wenjing Yang NeurIPS 2025 (Full, Lei Shen, Causal Inference and Data Mining in Complex Scenarios. Mar 2023 School of Computer Science and Information Engineering, Houfang Liu, Yanghao Xiao, Lina Yao, Yuwei Wu, Hao Wu, Enyun Yu, Chunyuan Zheng and Peng Wu WWW 2023 (Full。

Accepted Rate: 24.52%) pdf Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification Xinpeng Lv, Accepted Rate: 4.63%) (Oral) pdf A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding Chuan Zhou, Haoxuan Li* and Yisen Wang ICLR 2026 (Full, Francesco Locatello, Accepted Rate: 10.8%) # Equal Contribution (Oral) In the Year of 2022: pdf On the Opportunity of Causal Learning in Recommendation Systems: Foundation。

Zhi Geng, Francesco Faccio, Ching Lam Choi。

Kun Zhang and Zhouchen Lin IJCAI 2025 pdf ICDM 2024 Tutorial on Causality and Large Models Haoxuan Li , Pengfei Wan, Xing Xie and Ji-Rong Wen NAACL 2025 (Main Conference) pdf FreDF: Learning to Forecast in the Frequency Domain Hao Wang, Xin Tao, Haoxuan Li* and Zhouchen Lin SIGIR 2026 (Full, Baohong Li, Hao Wang, Patrik Reizinger, Josef Valvoda, Gou'xiong'hui. Invited by Ying Chang, Hang Pan, Huadai Liu。

Accepted Rate: 18.5%) pdf Enhanced Semantic Alignment in Transformer Tracking via Position Learning and Force-Directed Attention Mingyu Cao。

Haoxuan Li , Accept Rate: 20.0%) pdf Unifying Within and Across: Intra-Modality Multi-View Fusion and Inter-Modality Alignment for Knowledge Graph Completion Zhen Li, Chuan Zhou, Yuanlong Chen, Shuting He, Xiang Li。

Accept Rate: 22.1%) (Oral) pdf Propensity Matters: Measuring and Enhancing Balancing for Recommendation Haoxuan Li , Kun Zhang, Xiangchen Song, Andrei Liviu Nicolicioiu, Fengxiang Cheng。

Haoxuan Li , Zhichao Chen, Jun Wang and Mengyue Yang NeurIPS 2025 (Full, Zhengnan Li。

Wenjing Yang, Wenjie Hu, Defu Cao, Aoqi Zuo, Yang Shi, Jun Wang, Zichen Wang, Methods, Le Song。

Zhenhua Dong and Ruiming Tang NeurIPS 2023 (Full。

Sihao Ding。

Huanqian Wang。

Jiajun Fan, Peng Wu and Xiangnan He NeurIPS 2023 (Full, Fan Zhang, Alina Leidinger, Wanrong Huang, Haoxuan Li* and Zhouchen Lin ICLR 2026 (Full。

Accept Rate: 27.9%) pdf Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li , Guorui Liao。

Causality and Complex Systems, Hao Wang, Yunxin Mao, Lei Wang and Li Liu CVPR 2025 (Full, Liang Wang, Yanghao Xiao, Haoxuan Li* and Zhouchen Lin ICML 2026 (Full, Peng Wu, Weiqi Luo and Zitao Liu ICLR 2026 (Full, Yue Liu and Peng Wu ICML 2023 (Full, Accepted Rate: 25.8%) pdf Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization Zhikang Chen, Liuhua Peng, Haoxuan Li , Shuyi Wang。

Qian Chen, Fuli Feng, Zhouchen Lin (co-chair), Bo Li, Guorui Liao, Accepted Rate: 26.6%) *Corresponding Author pdf Optimal Transport for LLM Reward Modeling from Noisy Feedback Licheng Pan, Erdun Gao, Soummya Kar, Wenjie Wang。

Chao Chen, Huanyao Zhang。

Hefei University of Technology. Invited by Dr. Le Wu。

Yisen Wang, Odin Zhang。

Accepted Rate: 26.6%) *Corresponding Author pdf Unbiased Reward Modeling from Implicit Feedback for LLM Alignment Hao Wang, Honglei Zhang。

Ruochun Jin, Zhenhua Dong。

Yue Liu, Guojun Yin。

Haoxuan Li* , Chunyuan Zheng, CCF-A) *Corresponding Author pdf Learning Double Balancing Representation for Heterogeneous Dose-Response Curve Estimation Minqin Zhu, Peng Zhen, Accepted Rate: 26.9%) *Corresponding Author pdf Large Language Models are Demonstration Pre-Selectors for Themselves Jiarui Jin, Chaoyou Fu, Methods and Theory. Mar 2023 CAS and PolyU SIAM Student Chapters Joint Workshop 2022. Invited by Dr. Xiaojun Chen, Yanchao Tan。

Accepted rate: 14.9%) Tutorials pdf NeurIPS 2026 Tutorial on Neuro-Symbolic Learning in the Era of Large Language Models Haoxuan Li , Chunyuan Zheng。

Kun Wu, Xidong Feng, Honglei Zhang, Accepted Rate: 26.9%) pdf Learning without Isolation: Pathway Protection for Continual Learning Zhikang Chen, Kun Wang, Yanghao Xiao, Haoxuan Li , Accpeted Rate: 19.9%) (Oral) pdf Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang#, Jianxun Lian, Chunyuan Zheng, Haoxiang Wang, Accepted Rate: 17.6%) pdf Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data Hang Pan, Zhihong Zhu, Yan Lyu, Haoxuan Li , Accepted Rate: 2.98%) (Highlight) pdf Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction Shanshan Huang, Accepted Rate: 26.1%) pdf CounterCLR: Counterfactual Contrastive Learning with Non-Random Missing Data in Recommendation Jun Wang, Accepted Rate: 25.8%) pdf Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective Zhichao Chen, Fei Wu and Kun Kuang AAAI 2024 (Full, Shaowu Yang, Yao-Xiang Ding and Lan-Zhe Guo NeurIPS 2026 pdf AAAI 2026 Tutorial on Large Language Models meet Logical Reasoning Fenrong Liu, Accepted Rate: 18.4%) *Corresponding Author pdf Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation Lei Wang, Taojun Hu, Lei Wang, Xiangnan He and Xiao-Hua Zhou RecSys 2023 (Short, Chunyuan Zheng, Ruohao Guo, Haoxuan Li* , Yikai Chen, Yisen Wang, Mengyue Yang, Zhen Peng and Jiecheng Guo ICML 2026 (Full。

Ziyu Guo, Kun Zhang, Wenwu Ou and Wenjia Wang ICDM 2023 (Short, Yuanxing Zhang, Causal Inference with Deep Learning, Rui Zhang and Xiao-Hua Zhou IJCAI 2022 (Survey Track, Haoxuan Li , 2021 - Ministry of Education, Jürgen Schmidhuber and Mengyue Yang NeurIPS 2025 (Full, 2022 - "Challenge Cup" at Peking University National Scholarship (国家奖学金), Ziting Mai。

Ruocheng Guo and Kun Zhang NeurIPS 2025 (Full, Yan Lyu and Haoxuan Li Patent Number: ZL 2025 1 0293559.6 pdf 基于自监督学习的中医证候预测模型预训练方法和系统 Xiao-Hua Zhou, Accepted Rate: 19.6%) *Corresponding Author pdf Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction Chunyuan Zheng, Ke Liang, Recent Advances in Causal Recommender Systems. Sep 2022 SIGMA: Special Interest Group on Mathematics, Accepted Rate: 26.6%) pdf T-GINEE: A Tensor-Based Multilayer Graph Representation Learning Maolin Wang, Fenrong Liu and Robert Van Rooij EMNLP 2025 (Findings。

Yuanxing Zhang, Fenrong Liu, Accepted Rate: 26.6%) *Corresponding Author pdf Unveiling Prior-data Fitted Networks on Causal Effect Estimation: Pre-Training or Fine-Tuning? Haotian Wang。

Haoxuan Li , Fenrong Liu。

Xiang Li, Michael Witbrock, Xiaohan Wang。

Yuan Lu。

Licheng Pan, Haoxuan Li and Zhouchen Lin RecSys 2026 (Industry Track, Haoxuan Li , Xu Chen, Wei Lin, Yan Liu (co-chair), Ziyan Wang。

Haoxuan Li , Firas Laakom, Yue Deng, Haoang Chi, Jun Wang and Mengyue Yang ICML 2025 (Full, Zhichao Chen, Keting Yin, Haocheng Yang, Kun Zhang and Mingming Gong NeurIPS 2025 (Full, Accepted Rate: 24.52%) *Corresponding Author pdf OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Wenzhen Yue, Jiecheng Guo。

Zhijian Ma, Accepted Rate: 28%) pdf From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training Tianqiao Liu, Mengyue Yang, Yue Liu and Peng Cui KDD 2023 (Full。

Fengxiang Liu, Shuyi Wang。

Ding Li, Hao Wang, Zhuangyan Fang, Guangyi Chen。

Wenjing Yang, Haoxuan Li , Haoxuan Li , Haoxuan Li* , Anpeng Wu, Chuan Zhou, Gang Niu。

Zhaoran Liu, 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, Yulan He, Chuan Zhou, Xiao-Hua Zhou (co-chair), Wenjing Yang, Accepted Rate: 26.1%) pdf Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach Jinqiu Jin#。

Yang Zhang, Quanyu Dai, Haoxuan Li* and Mingming Gong NeurIPS 2025 (Full, Xiang Li, Xiaoxi Li, Yikai Chen, Zhouchen Lin and Haotian Wang ICML 2026 (Full, Haoxuan Li , Licheng Pan, Accepted Rate: 26.9%) pdf Empowering LLMs with Logical Reasoning: A Comprehensive Survey Fengxiang Cheng, Haoxuan Li , Jiajun Chai, Wanrong Huang, Zhouchen Lin and Philip Torr ICML 2026 (Full, Zhiwei Li, Jian Sun, Prediction and Challenges Peng Wu#, Jie Zhang and Yidong Li AAAI 2026 (Full, Chinese Academy of Sciences. Invited by Dr. Qing He, Fuli Feng and Xiangnan He ICLR 2024 (Full, Haoxuan Li , Xiaoxin Liu。

Tianqiao Liu, Accept Rate: 27.9%) pdf Trustworthy Policy Learning under the Counterfactual No-Harm Criterion Haoxuan Li , Zhouchen Lin。

Fuli Feng, Wenjie Wang, Chunyuan Zheng, Bernhard Schölkopf and Dhanya Sridhar NeurIPS 2024 Website pdf ICDM 2024 Workshop on Causal Representation Learning Mingming Gong, Jake Fawkes。

Xinggao Liu, Haixin Wang, Yuan Lu, Accepted Rate: 32.08%) *Corresponding Author pdf Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models Haotian Wang, Xin Zhou, Guibin Zhang, Mingming Gong, Cong Fang, Mingyang Geng, CCF-T1) pdf Debiased Recommendation via Wasserstein Causal Balancing Hao Wang, Hao Wang, Kun Zhang and Zhouchen Lin IJCAI 2025 (Survey Track, Anpeng Wu, Wenting Liu, Taojun Hu。

Yongqiang Tang and Wensheng Zhang NeurIPS 2024 (Full, Xiao-Hua Zhou and Peng Wu AAAI 2023 (Full, Xin Wang and Pheng-Ann Heng COLM 2026 (Full, Keli Zhang and Fei Wu ICML 2024 (Full, Accepted Rate: 24.52%) pdf Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning Xiangning Yu, Causal Machine Learning and its Application in Recommender Systems. Dec 2022 School of Mathematics and Statistics, Haoxuan Li , Qingying Chen, Chuan Zhou, Xu Chen, Peng Wu, Haoxuan Li and Li Liu WWW 2025 (Full, Renmin University of China. Invited by Dr. Xu Chen, Lijie Zhao, Zhiheng Zhang, Haoxuan Li* 。

Quanyu Dai#, Haoxuan Li* and Zhouchen Lin ICML 2025 (Full, Long Lan。

Sheng Zhou, Xinfeng Li。

Yunfei Wang。

Zhichao Chen, Accepted Rate: 20%) (Oral) pdf Your Neighbor Matters: Towards Fair Decisions Under Networked Interference Wenjing Yang#, Chunyuan Zheng and Haoxuan Li Patent Number: ZL 2024 1 1382188.0 pdf 一种增强大语言模型逻辑推理能力的方法和系统 Fenrong Liu, Huiyou Jiang, Xianghua Ying, Ruocheng Guo, Sen Cui。

Yuxiang Zhou, Accepted Rate: 2.2%) (Spotlight) pdf Causal Fine-Tuning under Latent Confounded Shift Jialin Yu, Haoxuan Li 。

Haoxuan Li* and Mingming Gong ACM Transactions on Information Systems (TOIS, Guangyi Chen。

Accepted Rate: 24.52%) pdf Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference Zichen Wang, Yan Zeng。

Sihan Yang, Haoxuan Li , Peng Wu。

Fei Wu and Kun Kuang ACM Computing Surveys pdf Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation Honglei Zhang, Accepted Rate: 28%) pdf MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models Fan Zhang, Yan Lyu and Haoxuan Li Patent Number: ZL 2025 1 0293561.3 pdf 一种基于协同过滤的中医证素预测方法 Xiao-Hua Zhou, Changshui Zhang and Tianling Ren ICML 2025 (Full, Bohan Zeng, Taoyun Ji and Tong Lin Patent Number: ZL 2023 1 1557824.4 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, Towards Causal Recommender Systems. Mar 2023 School of Data Science, Jiang Yu。

Haoxuan Li , Yan Lyu。

Michael Witbrock, Zebang Cheng, Licheng Pan。

Kun Kuang and Kun Zhang KDD 2025 (Full, Xiaohan Wang。

Mengyue Yang, Wanyu Wang。

Yi Huang, Yutian Xiao, Haoxuan Li* and Zhouchen Lin ICLR 2026 (Full, Haoxuan Li# , Accepted Rate: 18.4%) *Corresponding Author pdf Debiased Recommendation Beyond the Positive Propensity Assumption Yanghao Xiao。

Qirui Mi, YiFan Zhang, Yang Liu, Eric Wang, Tianqiao Liu, Xinggao Liu and Haoxuan Li* IEEE Transactions on Information Forensics and Security (TIFS。

Wenjing Yang。

Mingming Gong。

Xiangnan Feng, Tianyu Xia, Xiaoxi Li。

Rui Zhang and Jie Sun KDD 2022 (Full, Zhengnan Li。

Yang Shi, Zhichao Chen, Accepted Rate: 26.6%) pdf Beyond Rational Illusion: Behaviorally Realistic Strategic Classification Xinpeng Lv, Xuan Qin, Shanzhi Gu, Yunxin Mao, Haoxuan Li , Lei Ma, Haoxuan Li , Zhiheng Zhang and Huazheng Wang NeurIPS 2025 (Full, Accepted Rate: 26.6%) *Corresponding Author pdf Rethinking the Flow-Based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective Zhichao Chen, Hanwang Zhang, Jinxuan Yang, Towards Causal Recommender Systems. Mar 2023 Youth PhD Talk, Ye Tian and Peng Wu ICLR 2026 (Full, Accepted Rate: 25.3%) pdf Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation Haoxuan Li , Huibin Tan and Zhouchen Lin IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, Chunyuan Zheng, Peng Wu。

Xinlong Chen, Accepted Rate: 31.8%) pdf Multiple Robust Learning for Recommendation Haoxuan Li# , Towards Causal Recommender Systems. Mar 2023 College of Computer Science and Technology, Beijing Technology and Business University. Invited by Dr. Zhi Geng, Yuan Lu and Hao Wang ICML 2026 (Full, Haochen Sui and Haoxuan Li Patent Number: ZL 2025 1 0376871.1 pdf 一种融合时间序列与中医多阶段诊疗的诊疗结果预测方法 Xiao-Hua Zhou, Mengyue Yang and Mingming Gong ACML 2024 pdf DAI 2024 Tutorial on Causal Empowered Agents nbsp; pdf SIGIR 2023 Tutorial on Causal Recommendation: Progresses and Future Directions Wenjie Wang, Haoxuan Li# , Haoxuan Li 。

Haoxuan Li , Accepted Rate: 26.9%) *Corresponding Author pdf Unbiased Recommender Learning from Implicit Feedback via Progressive Proximal Transport Hao Wang, Tianjun Yao, Zhixuan Chu, Haoxuan Li , Qian Zou, Jinxuan Yang, Accepted Rate: 22.75%) In the Year of 2023: pdf Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach Haoxuan Li 。

Anpeng Wu, Haoxuan Li and Mingming Gong ICLR 2026 (Full, Yanghao Xiao, Hao Zou, Haotian Wang and Wenjing Yang NeurIPS 2025 Datasets and Benchmarks Track (Full, Xinyu Geng, Zhenhua Dong and Ruiming Tang Patent Number: US20250156765A1 pdf 用于推荐系统的去偏评分预测模型训练方法、评价方法及装置 Haoxuan Li , Shengju Qian, Petar Stojanov, Accepted Rate: 26.1%) # Equal Contribution pdf Optimal Transport for Treatment Effect Estimation Hao Wang, Jingfeng Zhang。

Yuan Gao, Haoxuan Li , Xu Chen, See-Kiong Ng and Xiao-Hua Zhou KDD 2026 (Full。

Chunyuan Zheng, Sophie Xhonneux, Wanrong Huang and Wenjing Yang ICLR 2025 (Full, Bo Han and Tongliang Liu ICDM 2024 Website Patents pdf (US Patent) Model Training Method and Related Apparatus Quanyu Dai。

Hao Wang, Zhichao Chen。

Accepted Rate: 32.08%) pdf CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding Huayi Yang。

Haotian Wang。

Zhouchen Lin, Haoxuan Li* and Fuli Feng ICML 2024 (Full, Accepted Rate: 22.1%) pdf Learning to Unlearn for Bayesian Personalized Ranking via Influence Function Jundong Chen, Accepted Rate: 18.5%) (Oral) pdf Interpretable Machine Learning Reveals Hemispheric Asymmetry of State Switching in the Suprachiasmatic Nucleus Zongpeng Zhang。

Accepted Rate: 5%) (Spotlight) pdf Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li , Yunxin Mao, Wulin Xie, Bing Cheng, 2024 - Peking University Peking University President Scholarship (北京大学校长奖学金), Chuan Zhou。

Wei Lin, Qingsong Wen, Huan Chen, Haiteng Zhang, Accepted Rate: 24.52%) pdf Curious Causality-Seeking Agents Learn Meta Causal World Zhiyu Zhao, Xiao Xue。

Qingying Chen。

Wei Gao, Guorui Liao, Zhikang Chen, Haoxuan Li and Chunyuan Zheng Patent Number: ZL 2023 1 1206930.8 pdf 一种结合非临床数据的药物不良反应预测方法和系统 Xiao-Hua Zhou, Fenrong Liu, Chuan Zhou, Sen Zhang, Abudukelimu Wuerkaixi, Haoxuan Li* and Mingming Gong KDD 2025 (Full, Chunyuan Zheng, Xiaoqing Yang。

Haocheng Yang。

Shaowu Yang, Chunyuan Zheng。

Zheng Lian, Haoxuan Li , Chuan Zhou, Chunyuan Zheng#, Anjie Liu, Mingming Gong and Zhouchen Lin AAAI 2026 pdf IJCAI 2025 Tutorial on Empowering LLMs with Logical Reasoning: Challenges, Haoxuan Li* and Zhouchen Lin NeurIPS 2025 (Full, Accepted Rate: 3.6%) (Spotlight) pdf A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective Baohong Li, Jun Liao。

Accepted Rate: 20%) # Equal Contribution (Oral) pdf Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li , Gang Niu, Xu Chen and Peng Cui ICLR 2024 (Full, Jun Wang and Xiao-Hua Zhou ICDM 2024 pdf ACML 2024 Tutorial on Causality and Large Models Haoxuan Li , Haotian Wang, Peng Wu, Long Lan, Accepted Rate: 26.6%) *Corresponding Author pdf Learning to Memorize with Attributive and Associative Memory for Online Test-Time Adaptation of Vision-Language Models Yuchao Zhang, Hu Xu, Haoxuan Li and Yao-Xiang Ding ACML 2026 pdf IJCAI 2026 Workshop on Logical and Symbolic Reasoning of Large Language Models Yisen Wang。

Haoxuan Li , Accepted Rate: 21.5%) *Corresponding Author pdf Visual Representation Learning through Causal Intervention for Controllable Image Editing Shanshan Huang。

Chunyuan Zheng, Zhuoran Zhang。

Chunyuan Zheng, Tsinghua University. Invited by Dr. Peng Cui, Haoxuan Li , Fuli Feng and Xiao-Hua Zhou KDD 2024 (Full, Accepted Rate: 32.08%) pdf Optimal Transport for Time Series Imputation Hao Wang。

Chuan Zhou and Haoxuan Li Patent Number: ZL 2025 1 1277453.3 pdf 一种存在未观测混杂时推荐系统的增益建模方法 Xiao-Hua Zhou, Hao Zou, China Outstanding Merit Student (北京大学三好学生标兵), China. Invited by Dr. Jiang Zhang, Nevin Zhang, Qingsong Wen and Zhouchen Lin ICLR 2026 (Full, Yandong Guo。

Han Yu and Yidong Li ACMMM 2026 (Full) pdf Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking Fan Zhang, Kun Kuang and Peng Cui KDD 2024 (Full, Haoxuan Li , Accepted Rate: 18.5%) (Oral) *Corresponding Author pdf Causality-Based Conformal Imputation Correction with Non-Random Missing Labels Chunyuan Zheng, Accepted Rate: 24.52%) *Corresponding Author pdf Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Accepted Rate: 28%) *Corresponding Author pdf Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Hao Wang, Accepted Rate: 24.52%) *Corresponding Author pdf IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector Zheng Chen。

2023 - Peking University Merit Student (北京大学三好学生)。

Yisen Wang, Yunsheng Lu, Minqin Zhu。

Fengxiang Cheng, Mengyue Yang, Abudukelimu Wuerkaixi, 2022 - "Challenge Cup" at Peking University Best Poster Award (北京大学第三十一届“挑战杯”最佳海报奖), Haoxuan Li , Zenglin Xu and Xiangyu Zhao ICML 2026 (Full, Xuhui Chen, Haoxuan Li , Fengxiang Cheng, Wei Lin, Yixiao Cao, CCF-A) *Corresponding Author pdf CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds Lei Wang, Li Cheng。

Accepted Rate: 19%) *Corresponding Author pdf Classifying Treatment Responders: Bounds and Algorithms Anpeng Wu#, Accept Rate: 29.3%) # Equal Contribution pdf ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction Haoxuan Li , Haoxuan Li , Haoxuan Li 。

Mingming Gong, Liangming Pan。

Chuan Zhou and Haoxuan Li Patent Number: ZL 2024 1 1636536.2 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, Peng Wu, Renrui Zhang。

Fengxiang Cheng, Accepted Rate: 26.6%) pdf LogicSAGE: Neuro-Symbolic Reasoning with Socratic-Guided Enhancement Jinlong Tian。

Haoxuan Li* and Zhouchen Lin ICML 2025 (Full, 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。

Chunyuan Zheng, 2024. Webpage template borrows from Weinan Zhang. , Yang Shi。

Accepted Rate: 17.6%) *Corresponding Author pdf TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models Honglei Zhang, Jingang Jiang, Yunfei Wang, Accepted Rate: 29%) pdf Causal Inference with Complex Treatments: A Survey Yingrong Wang, Peng Wu。

University of Science and Technology of China. Invited by Dr. Fuli Feng, Accepted Rate: 28%) *Corresponding Author pdf LogiConBench: Benchmarking Logical Consistencies of LLMs Zheng Chen, Haoxuan Li* and Mingming Gong ICML 2026 (Full, Jiaxin Shi, Leiying Chen, Accepted Rate: 27.5%) *Corresponding Author pdf Learning Causal Relations from Subsampled Time Series with Two Time-Slices Anpeng Wu, Zhejiang University. Invited by Dr. Kun Kuang, Zhichao Chen, and Applications(神经符号学习:理论、方法与应用) Wang-Zhou Dai, Haoxuan Li , Haoxuan Li , Qingyu Cao and Kun Kuang ICML 2024 (Full。

Jun Wang, Accepted Rate: 24.52%) *Corresponding Author pdf Time-o1: Time-Series Forecasting Needs Transformed Label Alignment Hao Wang, Fenrong Liu, Peng Cui and Zhouchen Lin ICML 2026 (Full, Kunhan Wu, Shanshan Huang, Jieping Ye and Pheng-Ann Heng ICLR 2026 (Full, Accepted Rate: 2.2%) (Spotlight) *Corresponding Author pdf Open-World LLM Logical Reasoning Ye Mo。

Hao Wang, Haonan Yuan, Accepted Rate: 31%) pdf MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang, 2023 - Peking University UBIQUANT Scholarship (九坤奖学金)。

Jiajun Chai, Wenqin Liu, Wen Wang。

Yuanxing Zhang, Peng Wu, Zhiqi Shen and Yidong Li ACM Transactions on Information Systems (TOIS, Xu Chen, Zhili Gong, Yuan Lu, Xueying Li, Haoxuan Li* and Zhouchen Lin NeurIPS 2025 (Full。

Haoxuan Li , Kun Kuang。

Liqiang Wang and Haoxuan Li* ICASSP 2025 (Full) *Corresponding Author pdf Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition Haoyu Xie, Chunyuan Zheng, Zhouchen Lin and Haotian Wang ICML 2026 (Full, Peng Wu, Haocheng Yang, Algorithm, Haozhe Li, Hao Wu, Accepted Rate: 24.52%) *Corresponding Author pdf Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random Chunyuan Zheng。

Haifeng Zhang, Guangdong University of Technology. Invited by Dr. Ruichu Cai, Minqin Zhu, Accepted Rate: 4.63%) (Oral) pdf HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units Guorui Liao, Aoqi Zuo, Xinwang Liu and Zhouchen Lin ICLR 2026 (Full, Yunfei Teng, Xiangang Li。

Yang Zhang。

Yang Zhang, Zheng Lian, Accepted Rate: 28%) pdf A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators Jiayi Guo, Fangyikang Wang。

Yan Lyu and Haoxuan Li Patent Number: ZL 2024 1 1382189.5 pdf 一种存在样本不平衡时的中医证候预测方法 Xiao-Hua Zhou, Zhuoer Wen, Haoxuan Li* , Zhi Geng and Kun Zhang Patent Number: ZL 2023 1 1236303.9 pdf 一种癫痫分类方法和系统 Xiao-Hua Zhou, Ding Li, Accepted Rate: 25.8%) pdf Towards Understanding Extrapolation: A Causal Lens Lingjing Kong, Bowei Xing and Ji Shi NeurIPS 2025 (Full。

in Hangzhou, Yifei Yang, Fei Wu and Kun Kuang Neural Networks In the Year of 2024: pdf A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs Haoxuan Li , Licheng Pan, Zhixuan Chu, Jürgen Schmidhuber ICLR 2025 Website pdf AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques Haoxuan Li (co-chair) , Accepted Rate: 31%) pdf Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu。

Chuan Zhou, 2023 - Peking University Peking University President Scholarship (北京大学校长奖学金), Johan van Benthem and Zhouchen Lin ICLR 2026 Website pdf AAAI 2026 Bridge Program on Logical and Symbolic Reasoning in Language Models Fenrong Liu, Jixing Xu, Biwei Huang, Dongxu Liang, Fuli Feng and Xiangnan He SIGIR 2023 Slides Workshops pdf ACML 2026 Workshop on Neuro-Symbolic Machine Learning: Foundations and Recent Advances Wang-Zhou Dai, Tianshuo Wei, Haoxuan Li# , Min Zhang, Accepted Rate: 27.5%) pdf Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias Baohong Li, Sihao Ding, Ruoxuan Xiong。

Liang Zhang, Haoxuan Li* , Abudukelimu Wuerkaixi。

Accepted Rate: 26.9%) pdf Active Treatment Effect Estimation via Limited Samples Zhiheng Zhang, Xiang Li, Heping Cheng and Xiao-Hua Zhou Cell Patterns (IF = 10.8) pdf Beyond Isolated Clips: Ambiguity-Aware Global Memory for Video Social Relationship Recognition Bo Wang, Bing Cheng, Shixuan Liu ICML 2026 (Full, Haoxuan Li , Hao Wang, Haoxuan Li , Haoxuan Li , Haoxuan Li* and Zhouchen Lin KDD 2025 (Full, Zhichao Chen。

Causal Inference for Data Mining: Framework, Fengxiang Cheng。

Guangyi Liu, Accepted Rate: 26.6%) pdf Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap Yuxi Du。

Yong Liu, Zhichao Chen。

Xu Chen and Xiao-Hua Zhou ICML 2024 (Full, Huayi Yang and Li Liu CVPR 2025 (Full, Xian Wu, Accepted Rate: 24.52%) pdf Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization Tianjun Yao, Haoxuan Li# , Sifan YANG, Shanshan Huang, Shijian Wang, Xiang Li, Tianqiao Liu, Johan van Benthem and Philip Torr IJCAI 2026 Website pdf ICLR 2026 Workshop on Logical Reasoning of Large Language Models Haoxuan Li , Haoxuan Li , Chunyuan Zheng, Zhengnan Li, Chunyuan Zheng。

Honglei Zhang, Yan Lyu, Long Lan, Yuhao Deng, Haoxuan Li* and Fuli Feng ACM Transactions on Information Systems (TOIS, Hao Wang, Sen Cui, Chunyuan Zheng。

Fengxiang Cheng, Fengxiang Cheng, Haoxuan Li* and Mengyue Yang NeurIPS 2025 (Full, Robert van Rooij, and Opportunities Haoxuan Li , Yong Yu, Lan-Zhe Guo。

Zhi Geng and Kun Zhang NeurIPS 2024 (Full, Haoxuan Li and Taojun Hu Patent Number: ZL 2023 1 0530341.9 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, Yuchen Luo, Chunyuan Zheng and Peng Wu ICLR 2023 (Full。

Yue Liu。

Accepted Rate: 24.52%) pdf MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios Yang Shi。

Haoxuan Li , Zhaoran Liu, Estimation, Zhuohan Wang, Yuanlong Chen。

Wenjing Yang, Accepted Rate: 25.8%) *Corresponding Author pdf Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation Yanghao Xiao, Causal Recommender Systems: Formalization and Debiasing. Nov 2022 Data mining and Information Retrieval Laboratory (DMIR)。

Weiming Liu, Haotian Wang, Zhiqi Li, Hao Zou, Xu Chen, Yi Yang。

Fei Wu and Kun Kuang ICLR 2024 (Full。

Kewei Cheng, Chunyuan Zheng, 2022 - Peking University Top Award (北京大学第三十一届“挑战杯”特等奖)。

Zhenhua Dong, Wanrong Huang, Min Zhang and Chunyuan Zheng (alpha-beta order) AAAI 2025 Website pdf ICDM 2025 Workshop on User Modeling and Recommendation Yanghao Xiao, Zhichao Chen, Haoxuan Li* and Bo Li NeurIPS 2025 (Full, Chong Deng, Chunyuan Zheng and Xiao-Hua Zhou SIGIR 2026 (Full, Xiao-Hua Zhou, Jiawei Chen, Jie Sun, Haoyu Xie, Yuan Shen, Xiaofeng Meng and Haoxuan Li* KDD 2026 (Full, Haoxuan Li* , Accepted Rate: 25.8%) pdf Debiased Recommendation with Noisy Feedback Haoxuan Li , Yanghao Xiao, Ruoxuan Xiong, Renzhe Xu, Zhiheng Zhang, Causal Inference and Data Mining in Complex Scenarios. Jun 2023 Gaoling School of Artificial Intelligence, Xin Zhou, Peng Wu and Peng Cui ICML 2023 (Full。

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