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 008; Yaxin Peng (PPSN (1), 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)

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)

Distributional generative adversarial imitation learning with reproducing kernel generalization. - Yirui Zhou; Mengxiao Lu; Xiaowei Liu; Zhengping Che; Zhiyuan Xu; Jian Tang 008; Yangchun Zhang; Yan Peng 001; Yaxin Peng (Neural Networks, 2023)

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. - Wanying Wang; Yichen Zhu; Yirui Zhou; Chaomin Shen 001; Jian Tang 008; Zhiyuan Xu; Yaxin Peng; Yangchun Zhang (AAAI, 2024)

Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery. - Yangchun Zhang; Wang Zhou; Yirui Zhou (CoRR, 2024)

A memory pool variational autoencoder framework for cross-domain recommendation. - Jie Yang; Jianxiang Zhu; Xiaofeng Ding 003; Yaxin Peng; Yangchun Zhang (Expert Syst. Appl., 2024)

Generalization error for portable rewards in transfer imitation learning. - Yirui Zhou; Lei Wang; Mengxiao Lu; Zhiyuan Xu; Jian Tang 008; Yangchun Zhang; Yaxin Peng (Knowl. Based Syst., 2024)

APFN: Adaptive Perspective-Based Fusion Network for 3-D Place Recognition. - Jianxiang Zhu; Keni Yang; Yangchun Zhang; Yan Peng 001; Yaxin Peng (IEEE Trans. Instrum. Meas., 2024)

A coarse-to-fine unsupervised domain adaptation method based on metric learning. - Yaxin Peng; Keni Yang; Fangrong Zhao; Chaomin Shen 001; Yangchun Zhang (J. Intell. Fuzzy Syst., 2024)

On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration. - Yirui Zhou; Xiaowei Liu; Xiaofeng Zhang; Yangchun Zhang (CoRR, 2025)