Zhengming Chen

27 papers A* 13C 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MTCCM: A multi-task conflict control model for Web API recommendation with semantic enhancement. Appl. Soft Comput. Kezhou Chen, Hongbin Zhang, Zhengming Chen, Lianglun Cheng, Xu Lu
2025	A*	`conf`	Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. ICLR Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang
2025	A*	`conf`	Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. IJCAI Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao
2025	J	`jnl`	Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. CoRR Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao
2025	A*	`conf`	Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. IJCAI Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen
2025	A*	`conf`	Extracting Rare Dependence Patterns via Adaptive Sample Reweighting. ICML Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang
2025	A*	`conf`	Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. ICML Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang
2025	C	`conf`	Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. CSCWD Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao
2025	J	`jnl`	Testing Conditional Independence Between Latent Variables by Independence Residuals. IEEE Trans. Neural Networks Learn. Syst. Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang
2024	A*	`conf`	Automating the Selection of Proxy Variables of Unmeasured Confounders. ICML Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng
2024	J	`jnl`	Automating the Selection of Proxy Variables of Unmeasured Confounders. CoRR Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng
2024	A*	`conf`	Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
2024	J	`jnl`	Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
2024	J	`jnl`	Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. J. Mach. Learn. Res. Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang
2024	J	`jnl`	HateDebias: On the Diversity and Variability of Hate Speech Debiasing. CoRR Nankai Lin, Hongyan Wu, Zhengming Chen, Zijian Li, Lianxi Wang, Shengyi Jiang, Dong Zhou, Aimin Yang
2024	A*	`conf`	Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
2024	A*	`conf`	Learning Discrete Latent Variable Structures with Tensor Rank Conditions. NeurIPS Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
2024	J	`jnl`	Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
2024	A*	`conf`	Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. ICLR Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. Neurocomputing Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
2023	J	`jnl`	Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. CoRR Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang
2023	J	`jnl`	Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
2023	A*	`conf`	Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
2022	A*	`conf`	Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
2022	A*	`conf`	Identification of Linear Non-Gaussian Latent Hierarchical Structure. ICML Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
2022	J	`jnl`	Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models. Entropy Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang