👨‍🎓 About Me

I am currently a Ph.D. student at Medical Robotics Lab, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, advised by Prof. Zeng-Guang Hou and Prof. Guotao Li. I got my bachelor’s degree in June 2023 from the Department of Automation, China University of Petroleum (East China), advised by Prof. Weifeng Liu. My research interest includes human-robot interaction, reinforcement learning and exoskeleton robot control.

My research will focus on Cobodied AI, which aims to achieve profound alignment between robotic and human cognition, as well as human-centered efficient environmental interaction and feedback. Specifically, the goal of my research is to ensure that exoskeleton robots can provide efficient and personalized assistance across diverse environments and for varied users. I am exploring accurate human intent and motion preference recognition, and human-environment-adaptive robot interaction learning methods.

🔥 News

• [2025.06] One paper (DOMAIN) is accepted by IEEE Transactions on Systems, Man, and Cybernetics: Systems.
• [2025.05] One paper (WMDD) is accepted by IEEE Transactions on Cybernetics.
• [2024.04] One paper (MICRO) is accepted by the 33th International Joint Conference on Artificial Intelligence.

📝 Publications

Journals

• Xiaoyin Liu, Xiaohu Zhou$^*$, Meijiang Gui, Guotao Li, Zengguang Hou$^*$ et al., “DOMAIN: Mildly conservative model-based offline reinforcement learning”, IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2025. [Paper]
• Xiaoyin Liu, Guotao Li$^*$, Xiaohu Zhou, Xu Liang, Zengguang Hou$^*$, “A weight-aware-based multi-source unsupervised domain adaptation method for human motion intention recognition”, IEEE Transactions on Cybernetics (TCYB), 2025. [Paper] [Code]
• Xiaoyin Liu, Ning Li, Jun Guo, Zhongyong Fan, Xiaoping Lu$^*$, Weifeng Liu$^*$, Baodi Liu, “Multistep-ahead prediction of ocean SSTA based on hybrid empirical mode decomposition and gated recurrent unit model”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2022. [Paper]

Conferences

• Xiaoyin Liu, Xiaohu Zhou$^*$, Guotao Li, Hao Li, Meijiang Gui, Tainyu Xiang, Dexaing Huang, Zengguang Hou$^*$, “MICRO: Model-based offline reinforcement learning with a conservative bellman operator”, the 33th International Joint Conference on Artificial Intelligence (IJCAI), 2024. [Paper] [Code]

Preprints

• Xiaoyin Liu, Guotao Li$^*$, Xiaohu Zhou, Zengguang Hou$^*$, “LEASE: Offline preference-based reinforcement learning with high sample efficiency”, Under Review. [Paper] [Code]

🎖 Honors and Awards

Academic Awards

• [2025.06] The 5rd Direct Ph.D. Pilot Program (直博实验班) of Institute of Automation (1/11).
• [2023.03] Technology Star of China University of Petroleum (East China) (top 10).
• [2022.05] Outstanding Student of Shandong Province (top 0.5%).
• [2021.11] China Undergraduate Mathematical Contest in Modeling, First Prize (top 0.7%).

Scholarship

• [2022.12] China National Scholarship (Undergraduate).
• [2021.12] China National Scholarship (Undergraduate).
• [2020.12] China National Scholarship (Undergraduate).

📖 Educations

• 2023.09 - Present, Ph.D. candidate, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
• 2019.09 - 2023.06, Undergraduate, Department of Automation, China University of Petroleum (East China), Qingdao, China.