Publications

• Xiaowei Liu, Kevin McAreavey, and Weiru Liu. A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs. To appear, 2024.
• Xiaowei Liu, Kevin McAreavey, Weiru Liu. Contrastive Visual Explanations for Reinforcement Learning via Counterfactual Rewards. In Proceedings of the 1st World Conference on Explainable Artificial Intelligence (xAI'23), pages 72-87, 2023.
• Yangchun Zhang, Yirui Zhou, Xiaowei Liu$^\star$. Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum. Computational Statistics & Data Analysis, Volume 178, 107617, 2023.

Co-authorship

• Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang$^\star$, Yan Peng, and Yaxin Peng$^\star$. Distributional generative adversarial imitation learning with reproducing kernel generalization. Neural Networks, Volume 165, pages 43-59, 2023.
• Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, and Yaxin Peng. Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. In Proceedings of the Parallel Problem Solving from Nature (PPSN 2022), pages 385-399, 2022.

PS: $^\star$ – correspondence authors.