Longhui Yu
Scholar

Longhui Yu

Google Scholar ID: 3eHjDDgAAAAJ
Kimi & University of Toronto & Peking University
AI AlignmentLarge Language ModelAI4MathTrustworthy AIContinual Learning
Citations & Impact
All-time
Citations
2,359
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published and preprinted several papers, such as 'MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models', 'Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization', etc. Awards: Outstanding Graduate of South China University of Technology in 2020, First Prize in the 14th National University Students' Smart Car Competition in 2019.
Research Experience
  • Involved in multiple research projects including MetaMath, Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization, etc.
Education
  • MPhil student at Peking University, supervised by Prof. Yuesheng Zhu; Collaborated with Dr. Weiyang Liu and Prof. Adrian Weller from the University of Cambridge, Dr. Lanqing Hong from the National University of Singapore, and Prof. Zhenguo Li from the Hong Kong University of Science and Technology.
Background
  • Research Interests: Artificial General Intelligence and Machine Learning; Specialties: Large Language Model, AI Alignment, Scalable Learning (Continual Learning, Semi-supervised Learning), Distribution Robustness (Long-tailed Learning, Out-of-Distribution Detection), Neural Collapse; Brief Introduction: Currently seeking a Ph.D. opportunity starting in FALL 2024.
Miscellany
  • Personal Interests: Interested in real-world applications of AI, such as Autonomous Driving, NeRF, and Vector Font Synthesis.