- 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.