ML Anthology

Zheng, Chunyuan

16 publications

AAAI 2025 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, Li Liu
AAAI 2025 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, Li Liu
NeurIPS 2025 Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
CVPR 2025 Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu
NeurIPS 2025 Unveiling Extraneous Sampling Bias with Data Missing-Not-at-Random Chunyuan Zheng, Haocheng Yang, Haoxuan Li, Mengyue Yang
CVPR 2025 Visual Representation Learning Through Causal Intervention for Controllable Image Editing Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu
ICLR 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias Under Interference Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
NeurIPSW 2024 Causal Representation Learning for Cross-Patient Seizure Classification Chunyuan Zheng, Yan Lyu, Taojun Hu, Xiaoxin Liu, Xiao-Hua Zhou
ICLR 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
CoRL 2024 Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation Vivek Myers, Chunyuan Zheng, Oier Mees, Kuan Fang, Sergey Levine
ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou
ICML 2023 Propensity Matters: Measuring and Enhancing Balancing for Recommendation Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui
NeurIPS 2023 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, Peng Wu
ICLR 2023 StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li, Chunyuan Zheng, Peng Wu
ICLR 2023 TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu
ICML 2023 Trustworthy Policy Learning Under the Counterfactual No-Harm Criterion Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu