Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. - Feng Xie 002; Ruichu Cai; Yan Zeng 002; Zhifeng Hao (IScIDE (2), 2019)

Spike Sorting Based On Low-Rank And Sparse Representation. - Libo Huang; Bingo Wing-Kuen Ling; Yan Zeng 002; Lu Gan 002 (ICME, 2020)

A causal discovery algorithm based on the prior selection of leaf nodes. - Yan Zeng 002; Zhifeng Hao; Ruichu Cai; Feng Xie 002; Liang Ou; Ruihui Huang (Neural Networks, 2020)

An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. - Feng Xie 002; Ruichu Cai; Yan Zeng 002; Jiantao Gao; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Causal Discovery with Multi-Domain LiNGAM for Latent Factors. - Yan Zeng 002; Shohei Shimizu; Ruichu Cai; Feng Xie 002; Michio Yamamoto; Zhifeng Hao (IJCAI, 2021)

Causal Discovery for Linear Mixed Data. - Yan Zeng 002; Shohei Shimizu; Hidetoshi Matsui; Fuchun Sun 001 (CLeaR, 2022)

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. - Libo Huang; Yan Zeng 002; Chuanguang Yang; Zhulin An; Boyu Diao; Yongjun Xu 001 (CoRR, 2023)

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. - Feng Xie 002; Yan Zeng 002; Zhengming Chen; Yangbo He; Zhi Geng; Kun Zhang 001 (Neurocomputing, 2023)

Nonlinear Causal Discovery for High-Dimensional Deterministic Data. - Yan Zeng 002; Zhifeng Hao; Ruichu Cai; Feng Xie 002; Libo Huang; Shohei Shimizu (IEEE Trans. Neural Networks Learn. Syst., 2023)

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. - Libo Huang; Yan Zeng 002; Chuanguang Yang; Zhulin An; Boyu Diao; Yongjun Xu 001 (AAAI, 2024)

KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. - Libo Huang; Zhulin An; Yan Zeng 002; Xiang Zhi; Yongjun Xu 001 (Tiny Papers @ ICLR, 2024)

Policy Learning for Balancing Short-Term and Long-Term Rewards. - Peng Wu 012; Ziyu Shen; Feng Xie 002; Zhongyao Wang; Chunchen Liu; Yan Zeng 002 (ICML, 2024)

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. - Tianying Ji; Yongyuan Liang; Yan Zeng 002; Yu Luo; Guowei Xu 001; Jiawei Guo; Ruijie Zheng; Furong Huang; Fuchun Sun 001; Huazhe Xu (ICML, 2024)

Local Causal Structure Learning in the Presence of Latent Variables. - Feng Xie 002; Zheng Li; Peng Wu 012; Yan Zeng 002; Chunchen Liu; Zhi Geng (ICML, 2024)

Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards. - Qinwei Yang; Xueqing Liu; Yan Zeng 002; Ruocheng Guo; Yang Liu 018; Peng Wu 012 (NeurIPS, 2024)

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. - Ruichu Cai; Siyang Huang; Jie Qiao; Wei Chen; Yan Zeng 002; Keli Zhang; Fuchun Sun 001; Yang Yu; Zhifeng Hao (CoRR, 2024)

Exemplar-Free Class Incremental Learning via Incremental Representation. - Libo Huang; Zhulin An; Yan Zeng 002; Chuanguang Yang; Xinqiang Yu; Yongjun Xu 001 (CoRR, 2024)

Automatical Spike Sorting With Low-Rank and Sparse Representation. - Libo Huang; Lu Gan 002; Yan Zeng 002; Bingo Wing-Kuen Ling (IEEE Trans. Biomed. Eng., 2024)

Learning Counterfactual Outcomes Under Rank Preservation. - Peng Wu 012; Haoxuan Li 001; Chunyuan Zheng 001; Yan Zeng 002; Jiawei Chen; Yang Liu 018; Ruocheng Guo; Kun Zhang 001 (CoRR, 2025)

A Survey on Causal Reinforcement Learning. - Yan Zeng 002; Ruichu Cai; Fuchun Sun 001; Libo Huang; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2025)

PrePrompt: Predictive prompting for class incremental learning. - Libo Huang; Zhulin An; Chuanguang Yang; Boyu Diao; Fei Wang 014; Yan Zeng 002; Zhifeng Hao; Yong-Jun Xu 001 (CoRR, 2025)

Confounded Causal Imitation Learning with Instrumental Variables. - Yan Zeng 002; Shenglan Nie; Feng Xie 002; Libo Huang; Peng Wu 012; Zhi Geng (CoRR, 2025)