- DICE: Discrete Inversion Enabling Controllable Editing For Multinomial Diffusion and Masked Generative Models (accepted at CVPR 2025, but desk rejected after camera ready deadline due to 7 day overlap between ICLR and CVPR, and did not receive final decision from ICLR)
- Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation (accepted by ISBI 2025)
- Mining multi-center heterogeneous medical data with distributed synthetic learning (accepted by Nature Communications)
- DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction (accepted by MICCAI 2023)
Research Experience
Will be joining Meta's Monetization GenAI group as SWE Intern in summer 2025; Has been involved in multiple research projects.
Education
Bachelor's Degree: Computer Science and Mathematics, Rutgers University; Pursuing Doctoral Degree: Computer Science, Rutgers University
Background
Research Interests: Medical Imaging Analysis, Federated Learning, Semi-supervised Learning. A Ph.D. candidate in Computer Science at Rutgers University, previously an undergraduate student in Computer Science and Mathematics at Rutgers University, graduated with the highest honor. Also a member of ARRL with callsign K2XXH.