Yangchun Zhang

According to our database, Yangchun Zhang authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Tackling value estimation bias in successor features by distributional reinforcement learning.

Mengxiao Lu, Yirui Zhou, Shaorong Xie, Yaxin Peng, Xiaofeng Zhang, Yangchun Zhang

Appl. Soft Comput., 2026

2025

On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration.

Yirui Zhou, Xiaowei Liu, Xiaofeng Zhang, Yangchun Zhang

CoRR, January, 2025

2024

A coarse-to-fine unsupervised domain adaptation method based on metric learning.

Yaxin Peng, Keni Yang, Fangrong Zhao, Chaomin Shen, Yangchun Zhang

J. Intell. Fuzzy Syst., January, 2024

APFN: Adaptive Perspective-Based Fusion Network for 3-D Place Recognition.

Jianxiang Zhu, Keni Yang, Yangchun Zhang, Yan Peng, Yaxin Peng

IEEE Trans. Instrum. Meas., 2024

Generalization error for portable rewards in transfer imitation learning.

Yirui Zhou, Lei Wang, Mengxiao Lu, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yaxin Peng

Knowl. Based Syst., 2024

A memory pool variational autoencoder framework for cross-domain recommendation.

Jie Yang, Jianxiang Zhu, Xiaofeng Ding, Yaxin Peng, Yangchun Zhang

Expert Syst. Appl., 2024

Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery.

Yangchun Zhang, Wang Zhou, Yirui Zhou

CoRR, 2024

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective.

Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang

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

2023

Distributional generative adversarial imitation learning with reproducing kernel generalization.

Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yan Peng, Yaxin Peng

Neural Networks, August, 2023

Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum.

Yangchun Zhang, Yirui Zhou, Xiaowei Liu

Comput. Stat. Data Anal., 2023

2022

CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions.

Yangchun Zhang, Jiang Hu, Weiming Li

J. Multivar. Anal., 2022

Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning.

Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022