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Resume (English only)
Academic Achievements
1. Published multiple papers accepted by NAACL 2025 Findings, ICLR 2025 Poster, IEEE ISBI 2025, etc.
2. Projects include:
- Lex-Art: A visual text generation framework
- FLASH: Few-shot Learning to Animate and Steer Humans
- SusGen-GPT: LLMs for report generation and finance NLP
- MuMu-LLaMA: Multi-modal music Understanding and Generation
- TextoMorph: Text-driven tumor synthesis
- Label Critic: VLM pipeline to detect medical images data errors
- ScaleMAI: Iterative system to scale up Medical AI
Research Experience
1. Researcher at Shanghai AI Lab, mentored by Dr. Peng Gao.
2. Involved in multiple research projects such as Lex-Art, FLASH, SusGen-GPT, MuMu-LLaMA, TextoMorph, and Label Critic.
Education
1. BSc in Physics, focusing on Nonlinear Dynamics & Chaos Theory and Bio-Physics.
2. MSc student at National University of Singapore, advised by Prof. Bharadwaj Veeravalli and Prof. Roger Zimmermann.
3. Researcher at CCVL @ Johns Hopkins University, advised by Prof. Alan L. Yuille.
Background
Currently a researcher at Shanghai AI Lab, mentored by Dr. Peng Gao. Previously, I was a MSc student at National University of Singapore and became extremely passionate about AI since Sep. 2023. I was also advised by Prof. Alan L. Yuille at CCVL @ Johns Hopkins University. My research interests lie in Reasoning LLMs, Reinforcement learning, Multimodal learning, with a broader focus on Diffusion Models and Physics-Informed learning.