About Me
Research
Currently working on several exciting projects:
- Multimodal LLM for lung cancer diagnosis in collaboration with Guangzhou Medical University
- AI-powered depression detection using brain fMRI scans and psychological evaluations
Recent Publications
- Zhang, J., Tian Y. DiffiT-HSFDA: A Diffusion Vision Transformers for Source-Free Domain Adaptation in Histology (ICIC 2025 Oral) DOI: 10.1007/978-981-95-0030-7_2
- Zhang, C., Wang, X., Zhang, J. et al. VESC: a new variational autoencoder based model for anomaly detection (International Journal of Machine Learning and Cybernetics) DOI: 10.1007/s13042-022-01657-w
- Zhang, C., Wang, X., Zhang, H.,Zhang, J. et al. LayerLog: Log sequence anomaly detection based on hierarchical semantics (Applied Soft Computing) DOI: 10.1016/j.asoc.2022.109860
Work Experience
Research Assistant @ NTU Lee Kong Chian School of Medicine MAVIT Lab (Aug 2024 - Present)
- Developing a source-free domain-adaptive framework based on Transformers, and diffusion models for lung cancer classification and weakly supervised localization in histopathological images.
- Collaborating with Guangzhou Medical University on lung cancer research
Research Intern @ Pohang University of Science and Technology (Jun 2024 - Aug 2024)
- Worked on MRI/X-ray image segmentation for spine disease diagnosis
- Applied denoising diffusion models and NLP techniques for medical data analysis
Full Stack Developer Intern @ Clangorous Technological Company (Dec 2023 - Feb 2024)
- Developed applications using .NET, MVC, and ERP systems
- Contributed to full-stack development and testing
Skills
AI/ML: PyTorch, Computer Vision, Transformers, Domain Adaptation, Multimodal Learning
Programming: Python, C/C++, Java
Web Development: Flask, Vue, React, MySQL, .NET
Tools: Data preprocessing, Web scraping, Unity