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ORCIDChunyuan Zheng 0001
Person information
- affiliation: Peking University, Beijing, China
- affiliation: University of California, San Diego, CA, USA
Other persons with the same name
- Chunyuan Zheng — disambiguation page
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2020 – today
- 2025
[j1]Zhili Gong, Chunyuan Zheng, Shanshan Huang, Huayi Yang, Guoxin Su
, Li Liu:
CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation. Knowl. Based Syst. 328: 114211 (2025)- [c22]Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu:
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units. AAAI 2025: 14309-14317 - [c21]Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu:
Visual Representation Learning through Causal Intervention for Controllable Image Editing. CVPR 2025: 23484-23493 - [c20]Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu:
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction. CVPR 2025: 28726-28735 - [c19]Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang:
Classifying Treatment Responders: Bounds and Algorithms. KDD (1) 2025: 1611-1622 - [c18]Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong:
A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. KDD (1) 2025: 2113-2123 - [c17]Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li:
Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction. SIGIR 2025: 233-243 - [c16]Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu:
CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding. WWW 2025: 5320-5329 - [i8]Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang:
Learning Counterfactual Outcomes Under Rank Preservation. CoRR abs/2502.06398 (2025) - 2024
- [c15]Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu:
Uncovering the Propensity Identification Problem in Debiased Recommendations. ICDE 2024: 653-666 - [c14]Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou:
UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. ICDM (Workshops) 2024: 828-832 - [c13]Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He:
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR 2024 - [c12]Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui:
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. ICLR 2024 - [c11]Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou:
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. ICML 2024 - [c10]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. KDD 2024: 1576-1586 - [i7]Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui:
Debiased Collaborative Filtering with Kernel-Based Causal Balancing. CoRR abs/2404.19596 (2024) - [i6]Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He:
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR abs/2404.19620 (2024) - [i5]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. CoRR abs/2406.17182 (2024) - 2023
- [c9]Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu:
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. ICLR 2023 - [c8]Haoxuan Li, Chunyuan Zheng, Peng Wu:
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. ICLR 2023 - [c7]Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui:
Propensity Matters: Measuring and Enhancing Balancing for Recommendation. ICML 2023: 20182-20194 - [c6]Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu:
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion. ICML 2023: 20575-20598 - [c5]Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui:
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD 2023: 1235-1247 - [c4]Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu:
Pareto Invariant Representation Learning for Multimedia Recommendation. ACM Multimedia 2023: 6410-6419 - [c3]Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu:
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach. NeurIPS 2023 - [c2]Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou:
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. RecSys 2023: 682-687 - [c1]Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu:
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. WWW 2023: 1305-1313 - [i4]Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu:
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. CoRR abs/2304.09085 (2023) - [i3]Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou:
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. CoRR abs/2308.02571 (2023) - [i2]Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu:
Pareto Invariant Representation Learning for Multimedia Recommendation. CoRR abs/2308.04706 (2023) - 2022
- [i1]Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu:
Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. CoRR abs/2205.04701 (2022)
Coauthor Index
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