Hi, there! Here’s Xueqian. I’m currently a first-year master student at UC San Diego, advised by Prof. Xiaolong Wang. Before coming to UC San Diego, I received my B.E. in Artificial Intelligence from Beijing University of Chemical Technology in 2024. My research interests include soft robot design, reinforcement learning and machine learning.

🔥 News

• 2025.08:  🎊🎊 Our paper is accepted to the CoRL 2025!
• 2025.06:  🎊🎊 Our soft-gripper co-design demo is accepted to the RSS 2025 Workshop!
• 2025.05:  🎊🎊 Homepage has been setup!

📝 Research

^* denotes equal contribution

Co-Design of Soft Gripper with Neural Physics

Conference on Robot Learning (CoRL), 2025.

[webpage] [arXiv] [code] [hardware]

Sha Yi^*, Xueqian Bai^*, Adabhav Singh, Jianglong Ye, Michael T. Tolley and Xiaolong Wang

A Consistent Round-Up Strategy Based on PPO Path Optimization for the Leader–Follower Tracking Problem

Oct 2023, Sensors

Xiao Wang, Zhaohui Yang, Xueqian Bai, Mingjiang Ji, Hao Li and Dechao Ran

A consistent round-up strategy based on PPO path optimization to track targets.

An Improved MADDPG Algorithm Based on Apollonius Circle Guidance and Opponent Modeling for Multi-UAV Pursuit-Evasion Game

Jun 2024, Preprint.

Xiao Wang, Xueqian Bai, Zhaohui Yang, Zhe Ma, Kewu Sun, Jiake Li

A new algorithm composed of the integration of expert knowledge and real-time sampled data, and the prediction of evader action.

🏆 Honors and Awards

• 2023.10, National Scholarship (top 1%)
• 2022.10, National Scholarship (top 1%)
• 2021.10, National Scholarship (top 1%)
• 2020.10, School-level Outstanding Student Scholarship (top 1%)

📖 Educations

• 2024.09 - now, Master Student in Computer Science, University of California, San Diego.
• 2020.09 - 2024.06, Undergraduate Student in Artificial Intelligence, Beijing University of Chemical Technology.

Current GPA: 4.00/4.00

💬 Invited Talks

• 2024.05, Invited by the Information Science and Technology Department of Beijing University of Chemical Technology, Application of Offline Reinforcement Learning Algorithms.

💻 Internships

• 2023.06 - 2023.08, Research Intern, Applied Optimization and Learning. Advisor: Prof. Peter Zhang, Carnegie Mellon University.
• 2022.06 - 2024.05, Research Intern, Multi-agent Reinforcement Learning in Pursuit-Evasion Game. Advisor: Prof. Xiao Wang, Beijing University of Chemical Technology.
• 2023.09 - 2024.04, Research Intern, Distributed Reinforcement Learning Framework, WiseWorker, Beijing, China.