About me

Hi there! I am a junior undergraduate student at the University of Electronic Science and Technology of China (UESTC) and a research assistant at the National University of Singapore (NUS), supervised by Young Presidential Prof. Yang You. I also work closely with Dr. Kai Wang and Prof. Wei Jin.

My research primarily focuses on Efficient Learning (Knowledge Distillation and Model Compression) and Data-centric AI (Dataset Distillation and Data Selection). Please feel free to drop me an email if you want to discuss relevant research topics or potential collaborations!

News

  • 2024.05: I was invited to serve as a reviewer for ACM MM 2024!
  • 2024.05: I was invited to serve as a reviewer for NeurIPS 2024!
  • 2024.05: GEOM, the first lossless graph condensation approach was accepted by ICML 2024!
  • 2024.05: Our workshop: The First Dataset Distillation Challenge got accepted at ECCV 2024 as a half-day workshop!
  • 2023.10: I won the HuaMeng Scholarship (10k RMB) and First-class Scholarship (2k RMB) for the second time!
  • 2023.09: DSN, the first approach achieved positive BWT, was accepted by NeurIPS 2023!

Selected Publications

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
International Conference on Machine Learning (ICML), 2024.





Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou
Advances in Neural Information Processing Systems (NeurIPS), 2023.






Honors and Awards

  • 2023-10 HuaMeng Scholarship (Award rate: 0.2%)

  • 2023-10 First-class Scholarship

  • 2023-07 National Second Prize, 16th China Collegiate Computing Competition

  • 2023-06 Provincial First Prize, 16th China Collegiate Computing Competition

  • 2023-06 Provincial Second Prize, 8-th C4-Network Technology Challenge

  • 2023-05 Provincial Second Prize, 13th China National Undergraduate “Innovation, Creativity and Entrepreneurship” Challenge

  • 2022-10 First-class Scholarship

  • 2022-08 Best Project Award, 2022 NJU NLP SummerCamp

Invited Talks

  • 2024.05, “Lossless Graph Condensation” on Techbeat.

Working Experiences

  • 2022.10 - 2023.6, ICDM Lab, advised by Prof. Fan Zhou, UESTC.
  • 2023.6 - present, HPC-AI Lab, advised by Prof. Yang You, NUS.

Academic Service

  • Chair of ECCV 2024 Workshop: The First Dataset Distillation Challenge.
  • Reviewer of WWW, NeurIPS, ACM MM.