Yangchun Zhang

13 papers A* 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tackling value estimation bias in successor features by distributional reinforcement learning. Appl. Soft Comput. Mengxiao Lu, Yirui Zhou, Shaorong Xie, Yaxin Peng, Xiaofeng Zhang, Yangchun Zhang
2025	J	`jnl`	On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration. CoRR Yirui Zhou, Xiaowei Liu, Xiaofeng Zhang, Yangchun Zhang
2024	J	`jnl`	A coarse-to-fine unsupervised domain adaptation method based on metric learning. J. Intell. Fuzzy Syst. Yaxin Peng, Keni Yang, Fangrong Zhao, Chaomin Shen, Yangchun Zhang
2024	J	`jnl`	A memory pool variational autoencoder framework for cross-domain recommendation. Expert Syst. Appl. Jie Yang, Jianxiang Zhu, Xiaofeng Ding, Yaxin Peng, Yangchun Zhang
2024	J	`jnl`	APFN: Adaptive Perspective-Based Fusion Network for 3-D Place Recognition. IEEE Trans. Instrum. Meas. Jianxiang Zhu, Keni Yang, Yangchun Zhang, Yan Peng, Yaxin Peng
2024	A*	`conf`	Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. AAAI Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang
2024	J	`jnl`	Generalization error for portable rewards in transfer imitation learning. Knowl. Based Syst. Yirui Zhou, Lei Wang, Mengxiao Lu, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yaxin Peng
2024	J	`jnl`	Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery. CoRR Yangchun Zhang, Wang Zhou, Yirui Zhou
2023	J	`jnl`	Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum. Comput. Stat. Data Anal. Yangchun Zhang, Yirui Zhou, Xiaowei Liu
2023	J	`jnl`	Distributional generative adversarial imitation learning with reproducing kernel generalization. Neural Networks Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yan Peng, Yaxin Peng
2023	J	`jnl`	Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. CoRR Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang
2022	J	`jnl`	CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions. J. Multivar. Anal. Yangchun Zhang, Jiang Hu, Weiming Li
2022	—	`conf`	Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. PPSN (1) Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng