Weilin Chen - RankMe

20 papers A* 5A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Action Learning for Weakly-Supervised Action Segmentation. CoRR Junxian Huang, Ruichu Cai, Hao Zhu, Juntao Fang, Boyan Xu, Weilin Chen, Zijian Li, Shenghua Gao
2025	J	`jnl`	Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. CoRR Weilin Chen, Wanyang Gu, Linjun Peng, Ruichu Cai, Zhifeng Hao, Kun Zhang
2025	A*	`conf`	Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. WWW Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang
2025	A*	`conf`	Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. IJCAI Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo
2025	J	`jnl`	Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. CoRR Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo
2025	J	`jnl`	Long-term Causal Inference via Modeling Sequential Latent Confounding. CoRR Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, José Miguel Hernández-Lobato
2025	J	`jnl`	Long-term causal effects estimation across domains: an invariant surrogate representation learning approach. Int. J. Mach. Learn. Cybern. Jiabi Zheng, Weilin Chen, Zhiyong Lin, Aqing Yang, Zhifeng Hao
2025	J	`jnl`	Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination. CoRR Weilin Chen, Ruichu Cai, Junjie Wan, Zeqin Yang, José Miguel Hernández-Lobato
2025	J	`jnl`	On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization. IEEE Trans. Neural Networks Learn. Syst. Weilin Chen, Jie Qiao, Ruichu Cai, Zhifeng Hao
2024	A*	`conf`	Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024	J	`jnl`	Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024	J	`jnl`	Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo
2024	A*	`conf`	Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng
2024	J	`jnl`	From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang
2024	J	`jnl`	Long-term causal effects estimation via latent surrogates representation learning. Neural Networks Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
2024	A*	`conf`	Reducing Balancing Error for Causal Inference via Optimal Transport. ICML Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao
2023	A	`conf`	Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
2023	J	`jnl`	Generalization bound for estimating causal effects from observational network data. CoRR Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
2022	J	`jnl`	Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. CoRR Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
2021	J	`jnl`	On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao