Zirui Pang
Scholar

Zirui Pang

Google Scholar ID: L9GRttsAAAAJ
University of Illinois Urbana-Champaign
Machine LearningUnlearningLabel Noise
Citations & Impact
All-time
Citations
1
 
H-index
1
 
i10-index
0
 
Publications
2
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - LLM Unlearning: Proposed Smoothed Gradient Ascent (SGA) for more stable and effective unlearning in LLMs
  • - OFFSIDE: Presented a benchmark for multimodal unlearning based on football transfer rumors
  • - GUARD: Introduced a generation-time unlearning framework for LLMs
  • - REVEAL: Developed a framework using vision-language models to identify and fix missing and noisy labels in image classification benchmarks
Research Experience
  • - Research Assistant at HKUST-GZ, supervised by Jiaheng Wei and Zixin Zhong
  • - Researcher at Irisk Lab, UIUC, leading a project on using machine learning models to help businesses assess risks
Education
  • - 2024.08 - Present: Master, University of Illinois Urbana-Champaign (UIUC), IL, USA
  • - 2019.09 - 2023.06: Undergraduate, Central University of Finance and Economics, Beijing, China
Background
  • - Research Interests: Noisy Labels, LLM Unlearning, Multi-Agent Reinforcement Learning
  • - Specialization: Data Science and Finance
  • - Brief Introduction: Currently a research assistant at the Hong Kong University of Science and Technology (Guangzhou), while pursuing a Master's degree at UIUC and interning.
Miscellany
  • - Passionate about music, served as a piano accompanist and tenor vocalist in the Choir of Central University of Finance and Economics, and composed several musical works