- 2025 Publications: Unified Modality Separation: A Vision-Language Framework for Unsupervised Domain Adaptation, PatAug: Augmentation of Augmentation for Test-Time Adaptation, Generalizing Vision-Language Models to Novel Domains: A Comprehensive Survey
- 2024 Publications: Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation, Agile Multi-Source-Free Domain Adaptation, Efficient Transfer Learning of Large Models with Limited Resources: A Survey, Cross-Domain State Estimation of Lithium-ion Batteries: A Review, Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
- 2022 Publications: Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer, Domain Adaptive Remaining Useful Life Prediction with Transformer
- Awards: 2025 Doctoral National Scholarship, UESTC Academic Scholarship, First Prize; 2024 Doctoral National Scholarship, UESTC Academic Scholarship, First Prize
Research Experience
- Visiting PhD student at CFAR, A*STAR starting from September 1, 2025, supervised by Prof. Ivor Tsang and Hangwei Qian
Education
- PhD student at School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), supervised by Prof. Jingjing Li
- Bachelor's degree in Computer Science from UESTC in 2022
Background
- Research Interests: Transfer Learning, especially Unsupervised Domain Adaptation (UDA), Domain Generalization (DG) and their applications in computer vision, vision-language models, etc.
- Applied machine learning in fields including Remaining Useful Life (RUL) prediction, State of Charge (SOC) prediction of batteries, etc.