Qilong Wu
Scholar

Qilong Wu

Google Scholar ID: xrWDBjcAAAAJ
National University of Singapore
LLMsReinforcement-LearningDiffusion
Citations & Impact
All-time
Citations
88
 
H-index
5
 
i10-index
2
 
Publications
10
 
Co-authors
7
list available
Publications
10 items
Browse publications on Google Scholar (top-right) ↗
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.
Miscellany
  • Personal interests and hobbies are not provided.