I am a first-year Ph.D. student in the Robotics Perception and Learning Lab (RIPL) at Georgia Institute of Technology advised by Prof. Zsolt Kira. Previously, I was fortunate to work with Prof. Hongteng Xu in Structured Data Science Lab (SDSL) at Renmin University of China. My research interests are in the areas of machine learning and computer vision. I currently work on enhancing the adaptability and generalization capabilities of foundation models.

News

• I joined Georgia Institute of Technology for the Machine Learning PhD Program!
• I graduated from the School of Statistics at Renmin University of China with a Bachelor’s degree in Science!
• I became a research intern at Microsoft Research AI4Science.
• Our paper “From Local to Global: Spectral-Inspired Graph Neural Networks” was accepted by NeurIPS 2022 GLFrontiers Workshop.
• I attended the 2022 CAAI International Conference on Artificial Intelligence (CICAI) in Beijing and presented our poster.
• I became a remote research assistant at Department of Applied Mathematics & Statistics, Johns Hopkins University.
• Our paper “Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection” was accepted by CAAI International Conference on Artificial Intelligence (CICAI), 2022.