Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Published multiple papers, including 'See, Think, Act: Online Shopper Behavior Simulation with VLM Agents', 'Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning', 'ID-Patch: Robust ID Association for Group Photo Personalization', etc., covering top conferences such as CVPR, NeurIPS, ECCV, etc.
Research Experience
Currently an Applied Scientist at Amazon, working on multimodal AI agents.
Education
Received a B.Eng. degree in Electrical and Electronic Engineering from The University of Sheffield, UK, in 2018; an M.Sc. degree in Electrical Engineering from Columbia University, USA, in 2020; and a Ph.D. in Computer Science from Michigan State University, USA, under the supervision of Prof. Sijia Liu in 2025.
Background
Research Interests: Deep Learning, Generative Models (LLMs, multi-modality, diffusion models), AI Safety (adversarial attack & defense), Optimization (Zeroth-Order Optimization, Dataset/Model pruning). Professional Field: Computer Science. Brief Introduction: Aiming to enhance the efficiency of machine learning, including data optimization, model architecture, and parameter-efficient fine-tuning techniques, while ensuring model safety.