Shiye Lei
Scholar

Shiye Lei

Google Scholar ID: k3-RdRgAAAAJ
University of Sydney
LLM ReasoningData-centric AIDeep Learning Theory
Citations & Impact
All-time
Citations
223
 
H-index
4
 
i10-index
3
 
Publications
11
 
Co-authors
1
list available
Resume (English only)
Academic Achievements
  • Selected Publications:
  • - Revisiting LLM Reasoning via Information Bottleneck, arXiv preprint, 2025
  • - Image Captions are Natural Prompts for Training Data Synthesis, IJCV, 2025
  • - Offline Behavior Distillation, NeurIPS, 2024
  • - A Comprehensive Survey of Dataset Distillation, TPAMI, 2024
  • - Attentive Learning Facilitates Generalization of Neural Networks, TNNLS, 2024
  • - Understanding Deep Learning via Decision Boundary, TNNLS, 2023
  • Academic Service:
  • - Conference reviewer: ICML, NeurIPS, ICLR, AISTATS, CVPR, ICCV, AAAI, ACM MM, etc.
  • - Journal reviewer: JMLR, Springer Machine Learning, Neurocomputing, etc.
Research Experience
  • Intern @ ByteDance; Teaching Assistant for COMP5318: Machine Learning and Data Mining, 2024 S2 @ USYD.
Education
  • PhD student at the School of Computer Science, University of Sydney, supervised by Prof. Dacheng Tao; received BEng from SASEE, Beihang University in 2019; MPhil in Computer Science from USYD in 2022.
Background
  • Research interests include RL post-training, LLM reasoning, and data-centric AI.
Miscellany
  • Contact: leishiye@gmail.com, shiye.lei@sydney.edu.au