About me
I am a second-year Ph.D. student in the Department of Computer & Information Sciences at Towson University, supervised by Prof. Xin Huang. My research interests lie in Artificial Intelligence, with a primary focus on GeoAI and medical image analysis. Currently, I am particularly interested in developing foundation models for scientific domains, and I am working on building a foundation model for land use and land cover (LULC) understanding in GeoAI, aiming to enable more practical and generalizable real-world applications. I previously received my B.Eng. degree in Artificial Intelligence, Jinan University.
Internship and Work Experience
06.2025–08.2025: Research Intern at Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, supervised by Prof. Ni Zhao, working on spatial transcriptomics analysis.
07.2023–09.2024: Remote Research Intern at Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, supervised by Prof. Min Xu, working on 3D medical image analysis and cryo-EM, where I contributed to “Probabilistic-aware Weakly Supervised 3D Medical Image Segmentation”.
07.2023–08.2024: Research Intern at Institute of Advanced Computing and Digital Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, supervised by Prof. Ruxin Wang, working on multimodal medical imaging, where I led the first-author work on “Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning”.
News!
Jan/27/2026 — Glad to announce that our paper “Semi-MedSAM: Adapting SAM-assisted Semi-supervised Multi-modality Learning for Medical Endoscopic Image Segmentation” is accepted by Pattern Recognition!
Oct/9/2025 — Honored to be invited as a reviewer for 3DV 2026.
Sep/3/2025 — Happy to share that I am awarded a Travel Grant from Towson University!
Aug/5/2025 — Excited to announce that our paper “Baltimore Atlas: FreqWeaver Adapter for Semi-supervised Ultra-high Spatial Resolution Land Cover Classification” is accepted by ACM SIGSPATIAL 2025!
May/7/2025 — Glad to share that our paper “Progressive Enhancement Dehazing for Object Detection in Extreme Weather” is accepted by EAAI!
Selected Publications
Coming soon!