Chunyuan Zheng

44 papers A* 23A 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data. ACM Trans. Inf. Syst. Hang Pan, Chunyuan Zheng, Wenjie Wang, Jingang Jiang, Xueying Li, Haoxuan Li, Fuli Feng
2026	J	`jnl`	CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks. CoRR Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. CoRR Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu
2026	A*	`conf`	Detecting Unobserved Confounders: A Kernelized Regression Approach. AAAI Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026	J	`jnl`	Detecting Unobserved Confounders: A Kernelized Regression Approach. CoRR Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026	A*	`conf`	Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents. AAAI Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou, Shanzhi Gu, Liyang Xu, Huan Chen, Yuanlong Chen, Wenjing Yang, Haotian Wang
2026	J	`jnl`	Rethinking Personalization in Large Language Models at the Token Level. CoRR Chenheng Zhang, Yijun Lu, Lizhe Fang, Chunyuan Zheng, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Yisen Wang, Zhouchen Lin
2026	A*	`conf`	Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation. AAAI Chunyuan Zheng, Haocheng Yang, Jinkun Chen, Shufeng Zhang, Tianyu Xia
2026	A*	`conf`	Uplift Modeling with Delayed Feedback: Identifiability and Algorithms. AAAI Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding. CoRR Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Haoxuan Li, Mingming Gong
2025	—	`conf`	A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. KDD (1) Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong
2025	A*	`conf`	Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction. SIGIR Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li
2025	A*	`conf`	CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding. WWW Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu
2025	J	`jnl`	CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation. Knowl. Based Syst. Zhili Gong, Chunyuan Zheng, Shanshan Huang, Huayi Yang, Guoxin Su, Li Liu
2025	—	`conf`	Classifying Treatment Responders: Bounds and Algorithms. KDD (1) Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang
2025	A*	`conf`	Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition. AAAI Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu
2025	J	`jnl`	Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition. CoRR Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu
2025	A*	`conf`	HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units. AAAI Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu
2025	J	`jnl`	Learning Counterfactual Outcomes Under Rank Preservation. CoRR Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
2025	—	`conf`	Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation. KDD (2) Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Xiaofei Zhu, Haoxuan Li, Li Liu
2025	A*	`conf`	Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction. CVPR Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu
2025	A*	`conf`	Visual Representation Learning through Causal Intervention for Controllable Image Editing. CVPR Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu
2024	A*	`conf`	Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
2024	J	`jnl`	Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
2024	A*	`conf`	Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
2024	J	`jnl`	Debiased Collaborative Filtering with Kernel-Based Causal Balancing. CoRR Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
2024	A*	`conf`	Debiased Recommendation with Noisy Feedback. KDD Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024	J	`jnl`	Debiased Recommendation with Noisy Feedback. CoRR Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024	A*	`conf`	Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. ICML Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou
2024	—	`conf`	UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. ICDM (Workshops) Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou
2024	A*	`conf`	Uncovering the Propensity Identification Problem in Debiased Recommendations. ICDE Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu
2023	A	`conf`	ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. RecSys Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
2023	J	`jnl`	ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. CoRR Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
2023	A*	`conf`	Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. WWW Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu
2023	J	`jnl`	Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. CoRR Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu
2023	A*	`conf`	Pareto Invariant Representation Learning for Multimedia Recommendation. ACM Multimedia Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu
2023	J	`jnl`	Pareto Invariant Representation Learning for Multimedia Recommendation. CoRR Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu
2023	A*	`conf`	Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
2023	A*	`conf`	Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach. NeurIPS Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu
2023	A*	`conf`	StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. ICLR Haoxuan Li, Chunyuan Zheng, Peng Wu
2023	A*	`conf`	TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. ICLR Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu
2023	A*	`conf`	Trustworthy Policy Learning under the Counterfactual No-Harm Criterion. ICML Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu
2023	A*	`conf`	Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
2022	J	`jnl`	Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. CoRR Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu