Chunyuan Zheng

According to our database, Chunyuan Zheng authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

X-Hair: 3D Printing Hair-like Structures with Multi-form, Multi-property and Multi-function.

Guanyun Wang, Junzhe Ji, Yunkai Xu, Lei Ren, Xiaoyang Wu, Chunyuan Zheng, Xiaojing Zhou, Xin Tang, Boyu Feng, Lingyun Sun, Ye Tao, Jiaji Li

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.

Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing.

Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Uncovering the Propensity Identification Problem in Debiased Recommendations.

Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu

Proceedings of the ACM Web Conference 2023, 2023

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, Xiao-Hua Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pareto Invariant Representation Learning for Multimedia Recommendation.

Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.

Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion.

Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu

Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui

Proceedings of the International Conference on Machine Learning, 2023

StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.

Haoxuan Li, Chunyuan Zheng, Peng Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations.

Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Analysis of the Relevance Degree of the Influencing Factors of Traffic Accidents.

Chunyuan Zheng, Xiaoping Zhao

Proceedings of the 2023 3rd International Conference on Big Data, 2023

2022

Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.

Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu

CoRR, 2022

2019

A new coupled disease-awareness spreading model with mass media on multiplex networks.

Chengyi Xia, Zhishuang Wang, Chunyuan Zheng, Quantong Guo, Yongtang Shi, Matthias Dehmer, Zengqiang Chen

Inf. Sci., 2019

2018

Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks.

Chunyuan Zheng, Chengyi Xia, Quantong Guo, Matthias Dehmer

J. Parallel Distributed Comput., 2018