Please Visit My New Homepage For The Latest Updates!
I am an HK-born AI researcher. I obtained my B.Eng. in Electronic and Information Engineering (Machine Intelligence) from Huazhong University of Science & Technology. Currently, I am a visiting student in CAIRI AI Lab under Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow) at Westlake University. My research interests center around computer vision from 3 levels: (i) Data-level: Mixup augmentation & label efficient learning. (ii) Network-level: Efficient network architecture design. (iii) Framework-level: Vector Quantized representation learning and generation. Besides, I am also interested in AI for Genomics applications.

Previously, I worked on few-shot semantic segmentation fortunately supervised by Prof. Xinggang Wang. In the summer of 2021, I was a visiting student at Multimedia Lab (MMLab), Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). Before that, I conducted a research internship remotely at Key Lab of Digital Earth Science, CAS (2020-2021).{.justify}

Welcome to contact me about research and internship.

News:

• 04/2024 Please Visit My New Homepage For The Latest Updates!
• 10/2023 New preprint SemiReward: The first reward model for general-purpose semi-supervised learning.
• 09/2023 One paper OpenSTL is accepted by NeurIPS 2023.
• 06/2023 Honored to be CSIG Student Member.
• 05/2023 New preprint SAMix: The first mixup algorithm that solves the 2 remaining challenges at once for both SL and SSL scenarios.
• 11/2022 New preprint MogaNet: A new family of pure ConvNet architecture (scaling from 5M to 100M+) explored from the novel perspective of multi-order game-theoretic interaction.
• 09/2022 New preprint OpenMixup: The first comprehensive mixup benchmark and codebase framework for visual classification and more.
• 09/2022 Responsible for the maintenance of OpenMixup codebase (525 stars).