Xiaoxiao He
Scholar

Xiaoxiao He

Google Scholar ID: WmK6IOEAAAAJ
Ph.D. Candidate, Rutgers University
MLLMDiffusion ModelDeep LearningMedical Image Analysis
Citations & Impact
All-time
Citations
274
 
H-index
7
 
i10-index
7
 
Publications
17
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • - 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.
Miscellany
  • Member of ARRL with callsign K2XXH