Yan Zeng - RankMe

34 papers A* 8A 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning by doing: an online causal reinforcement learning framework with causal-aware policy. Sci. China Inf. Sci. Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
2025	J	`jnl`	A Survey on Causal Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
2025	J	`jnl`	Confounded Causal Imitation Learning with Instrumental Variables. CoRR Yan Zeng, Shenglan Nie, Feng Xie, Libo Huang, Peng Wu, Zhi Geng
2025	A*	`conf`	Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models. ICML Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng
2025	J	`jnl`	Learning Counterfactual Outcomes Under Rank Preservation. CoRR Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
2025	J	`jnl`	PrePrompt: Predictive prompting for class incremental learning. CoRR Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu
2024	J	`jnl`	ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024	A*	`conf`	ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024	J	`jnl`	Automatical Spike Sorting With Low-Rank and Sparse Representation. IEEE Trans. Biomed. Eng. Libo Huang, Lu Gan, Yan Zeng, Bingo Wing-Kuen Ling
2024	J	`jnl`	Exemplar-Free Class Incremental Learning via Incremental Representation. CoRR Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu
2024	A*	`conf`	Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments. NeurIPS Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng
2024	J	`jnl`	Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments. CoRR Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng
2024	—	`conf`	KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. Tiny Papers @ ICLR Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu
2024	J	`jnl`	Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
2024	A*	`conf`	Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards. NeurIPS Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu
2024	A*	`conf`	Local Causal Structure Learning in the Presence of Latent Variables. ICML Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng
2024	J	`jnl`	Local Causal Structure Learning in the Presence of Latent Variables. CoRR Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng
2024	J	`jnl`	Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables. CoRR Zheng Li, Feng Xie, Yan Zeng, Zhi Geng
2024	A*	`conf`	Policy Learning for Balancing Short-Term and Long-Term Rewards. ICML Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng
2024	J	`jnl`	Policy Learning for Balancing Short-Term and Long-Term Rewards. CoRR Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng
2024	J	`jnl`	Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models. CoRR Xichen Guo, Zheng Li, Biwei Huang, Yan Zeng, Zhi Geng, Feng Xie
2024	A*	`conf`	eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. AAAI Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
2023	J	`jnl`	A Survey on Causal Reinforcement Learning. CoRR Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
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`	Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu
2023	J	`jnl`	eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. CoRR Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
2022	—	`conf`	Causal Discovery for Linear Mixed Data. CLeaR Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun
2021	—	`conf`	Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
2021	A*	`conf`	Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
2020	J	`jnl`	A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang
2020	J	`jnl`	An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao
2020	J	`jnl`	Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
2020	A	`conf`	Spike Sorting Based On Low-Rank And Sparse Representation. ICME Libo Huang, Bingo Wing-Kuen Ling, Yan Zeng, Lu Gan
2019	—	`conf`	Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao