Publications: 'FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens', 'EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment' (ICCV 2025), 'EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild' (CVPR 2025), 'UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis' (AAAI 2025); Awards: Outstanding Graduate Award (Top 10%) from CUG Wuhan in June 2024, 1st Award in the 13th Mathercup Mathematical Contest in Modeling in June 2023, Meritorious Winner in the American Collegiate Mathematical Contest in Modeling in February 2023, Ranking 99 in the CCF Big Data and Computational Intelligence Competition (Top 4%) in November 2022, 1st Award in the China Undergraduate Mathematical Contest in Modeling at Hubei Region in October 2022.
Research Experience
Joined 4DV Lab at ShanghaiTech University since October 2023.
Education
Master's: 2024 - Present, ShanghaiTech University, Computer Science and Technology; Bachelor's: 2019 - 2024, China University of Geosciences (Wuhan), Data Science and Big Data Technology.
Background
Research Interests: 3D Computer Vision and Embodied AI; Professional Field: Focusing on refining and revolutionizing the interaction behavior in Embodied AI at 4DV Lab; Brief Introduction: Aiming to help humans interact with robots, devices, and data using AI in a more efficient and natural way.