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Ph.D. in Information and Communication Engineering
University of Science and Technology of China & Shanghai AI Lab, Hefei & Shanghai (Expected July 2024)
- Research Areas: Machine Learning Theory, Self-Supervised Pretraining, Multimodal Large Models, Image Compression
- Advisors: Prof. Feng Wu, Prof. Zhiwei Xiong
M.S. in Computer Technology
University of Science and Technology of China, Hefei (2022.9 – 2024.7)
- GPA: 3.3/4.3 , National Graduate Scholarship (Top 1%, 2022)
- Core Courses: Algorithm Design, Statistical Learning, Deep Learning, Reinforcement Learning
- Advisor: Prof. Zhiwei Xiong
B.S. in Remote Sensing & Economics (Dual Degree)
Xiamen University, Xiamen (2018.9 – 2022.7)
- Major Ranking: 16/31 , Overall Ranking: 1/31
- Honors: Xiamen University Academic Star (2021), Kaggle Expert
- Advisor: Prof. Yuanye Zhang

Research Intern
Chinese PLA General Hospital (301 Hospital), Beijing (2023.9 – 2024.2)
- Conducted efficient data compression research with the team led by Academician Qionghai Dai.
Research Intern
Data Science Institute, Imperial College London (Remote, 2022.11 – 2023.8)
- Studied multimodal pretraining; submitted a CVPR paper under Assistant Prof. Rossella Arcucci.
Research Assistant
Wang Yanan Institute for Studies in Economics, Xiamen University (2020.8 – 2021.12)
- Developed visual feature extraction methods for national economic statistics.

Principal Investigator, Ph.D. Natural Science Foundation Project (2025.1 – 2027.12)
- Developed a billion-scale brain neuron segmentation model with advanced masking and point cloud alignment techniques.

Key Contributions:
- Self-supervised Neuron Segmentation with Multi-Agent Reinforcement Learning (IJCAI 2023, Oral): Enhanced MAE masking with reinforcement learning.
- Learning Multiscale Consistency for Electron Microscopy Segmentation (ICASSP 2024): Introduced multiscale contrastive learning and feature reconstruction.

Conditional Latent Coding for Image Compression (AAAI 2025, Oral): Improved entropy models with retrieval-based approaches.
UniCompress: Multimodal Medical Image Compression (Submitted to ICML 2025): Proposed a knowledge distillation-based compression framework.

Specialized in pretraining medical image and neuron segmentation models using large-scale GPU clusters (64-GPU A40, DDP, DeepSpeed).

National Graduate Scholarship (Top 1%), 2022
Xiamen University Academic Star (2021, Sole Undergraduate Awardee)
Gold Medal, “Internet+” Competition (Fujian Province), 2021
First Prize, “Jingrun Cup” Mathematics Competition (Xiamen University), 2021 (University First Place)
Second Prize, National Undergraduate Mathematics Competition (Non-Major Category), 2021
First Prize, “Challenge Cup” Academic Science and Technology Competition (Fujian Province), 2021
First Prize, National Undergraduate Mathematics Competition (Non-Major, Fujian Province), 2020 (Provincial First Place)