Yan Zeng

According to our database, Yan Zeng authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Confounded Causal Imitation Learning with Instrumental Variables.

Yan Zeng, Shenglan Nie, Feng Xie, Libo Huang, Peng Wu, Zhi Geng

CoRR, July, 2025

PrePrompt: Predictive prompting for class incremental learning.

Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu

CoRR, May, 2025

A Survey on Causal Reinforcement Learning.

Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Learning Counterfactual Outcomes Under Rank Preservation.

Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang

CoRR, February, 2025

Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models.

Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Automatical Spike Sorting With Low-Rank and Sparse Representation.

Libo Huang, Lu Gan, Yan Zeng, Bingo Wing-Kuen Ling

IEEE Trans. Biomed. Eng., May, 2024

Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables.

Zheng Li, Feng Xie, Yan Zeng, Zhi Geng

CoRR, 2024

Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models.

Xichen Guo, Zheng Li, Biwei Huang, Yan Zeng, Zhi Geng, Feng Xie

CoRR, 2024

Exemplar-Free Class Incremental Learning via Incremental Representation.

Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu

CoRR, 2024

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.

Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao

CoRR, 2024

Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards.

Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments.

Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Local Causal Structure Learning in the Presence of Latent Variables.

Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng

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

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.

Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

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

Policy Learning for Balancing Short-Term and Long-Term Rewards.

Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng

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

KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning.

Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Nonlinear Causal Discovery for High-Dimensional Deterministic Data.

Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions.

Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang

Neurocomputing, March, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

CoRR, 2023

2022

Causal Discovery for Linear Mixed Data.

Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Causal Discovery with Multi-Domain LiNGAM for Latent Factors.

Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables.

Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao

IEEE Trans. Neural Networks Learn. Syst., 2020

A causal discovery algorithm based on the prior selection of leaf nodes.

Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang

Neural Networks, 2020

Spike Sorting Based On Low-Rank And Sparse Representation.

Libo Huang, Bingo Wing-Kuen Ling, Yan Zeng, Lu Gan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples.

Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019