Efficient Online RL Fine-Tuning with Offline Pre-trained Policy Only

Wei Xiao*, Jiacheng Liu, Zifeng Zhuang, Runze Suo, Shangke Lyu†, Donglin Wang†

• Arxiv

Learning Robotic Policy with Imagined Transition: Mitigating the Trade-off between Robustness and Optimality

Wei Xiao*, Shangke Lyu†, Zhefei Gong, Renjie Wang, Donglin Wang†

• Arxiv | Video

Integrating Trajectory Optimization and Reinforcement Learning for Quadrupedal Jumping with Terrain-Adaptive Landing

Renjie Wang*, Shangke Lyu†, Xin Lang, Wei Xiao, Donglin Wang†

• The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).

Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling

Zhefei Gong, Shangke Lyu, Pengxiang Ding, Wei Xiao, Donglin Wang†

Uncertainty-Aware Planning: Mitigating Exploration Loss in Model-Based Reinforcement Learning

Runze Suo*, Zifeng Zhuang, Shangke Lyu, Xiao He, Wei Xiao, Ting Wang, Donglin Wang†

Continuous-Time Sequential Recommendation with State Space Models

Wei Xiao, Huiying Wang, Qifeng Zhou†, Qing Wang

• Arxiv | Code

PT4Rec: A Universal Prompt-Tuning Framework for Graph Contrastive Learning-Based Recommendations

Wei Xiao*, Qifeng Zhou†

• The 16th Asian Conference on Machine Learning, Machine Learning Journal, (ACML2024).
• Paper | Code

Tencent Kaiwu Reinforcement Learning Competition

Team: 南强至善- Wei Xiao*, Yifang Lin, Jinyang Lai, Huaming Xu, Zejie Jiang, Yunlong Liu†

• Fourth Place (with Bonus ￥20,000) - 2023.12
• Leaderboard

The 17th National Smart Car Competition for University Students

Team: 南强至善- Wei Xiao*, Tianhao Hu, Yuhang Liu, Jincai Luo†

• The Second Prize in South Region - 2022.07
• Technical Blog | Video1 | Video2

• The 13th Mathorcup Mathematical Modelling Competition, Third prize.
• Huawei Software Elite Challenge, Third Prize.
• National Mathematical Modelling Competition for College Students, Second Prize in Fujian Province.
• National Algorithm Competition for College Students, Excellence Award.
• and so on.