Yan Zeng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Incremental Learning

Conditional Independence

Causal Discovery

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu
KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. Tiny Papers @ ICLR (2024)
Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu
Exemplar-Free Class Incremental Learning via Incremental Representation. CoRR (2024)
Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR (2024)
Libo Huang, Lu Gan, Yan Zeng, Bingo Wing-Kuen Ling
Automatical Spike Sorting With Low-Rank and Sparse Representation. IEEE Trans. Biomed. Eng. 71 (5) (2024)
Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR (2024)
Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. AAAI (2024)
Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
A Survey on Causal Reinforcement Learning. CoRR (2023)
Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. CoRR (2023)
Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu
Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun
Causal Discovery for Linear Mixed Data. CLeaR (2022)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS (2021)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI (2021)
Libo Huang, Bingo Wing-Kuen Ling, Yan Zeng, Lu Gan
Spike Sorting Based On Low-Rank And Sparse Representation. ICME (2020)
Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124 (2020)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR (2020)
Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) (2019)