Yaofo Chen

About Me

I am a Ph.D. student supervised by Prof.Mingkui Tan with the School of Software Engineering at South China University of Technology. I also received my bachelor degree in Software Engineering from the same university in 2018. My research interests include nueral architecture search for efficient deep architectures and test-time adaptation for out-of-distribution generalization. I published papers in top venues, including ICML, ICLR, CVPR, and Neural Networks. I served as the reviewer for several top-tier machine learning/computer vision conferences, including ICML, NeurIPS, ICLR, CVPR, ICCV and ECCV.

Education & Research

• Ph.D. candidate in Software Engineering, 2020 ~ 2024 (Expected)
  South China University of Technology, Guangzhou, China

• Research Intern, since Sep. 2021, ongoing
  Peng Cheng Laboratory, Shenzhen, China

Publications

• Contrastive Neural Architecture Search with Neural Architecture Comparators
  Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)
  [ PDF] [ Supp] [ Poster] [ Slides] [ Code] [ BibTeX]

• Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
  Yaofo Chen, Shuaicheng Niu, Shoukai Xu, Hengjie Song, Yaowei Wang, Mingkui Tan
  International Conference on Learning Representations (ICLR 2024)
  [PDF] [Poster] [Code] [BibTeX]

• Automatic Subspace Evoking for Efficient Neural Architecture Search
  Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, Mingkui Tan
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2024)
  [ PDF] [ Code] [ BibTeX]

• Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
  Yaofo Chen^*, Yong Guo^*, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
  Proceedings of the International Conference on Machine Learning (ICML 2020)
  [ PDF] [ Supp] [ Poster] [ Slides] [ Code] [ BibTeX]

• Content-aware Convolutional Neural Networks
  Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang
  Neural Networks (2021)
  [ PDF] [ Code] [ BibTeX]

• Towards Stable Test-time Adaptation in Dynamic Wild World
  Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
  International Conference on Learning Representations (ICLR 2023 oral)
  [PDF] [Poster] [Slides] [Code] [BibTeX]

• Efficient Test-Time Model Adaptation without Forgetting
  Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
  Proceedings of the International Conference on Machine Learning (ICML 2022)
  [ PDF] [Poster] [Slides][ Code] [ BibTeX]

• Class-Balanced Federated Learning Based on Data Generation
  ZhiPeng Li, Yong Guo, Yaofo Chen, Yaowei Wang, Wei Zeng, Mingkui Tan
  Chinese Journal of Computers (2022)
  [ PDF] [ Code]

• Pareto-aware Neural Architecture Generation for Diverse Computational Budgets
  Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
  IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2023)
  [ PDF] [ Supp] [ Code] [ BibTeX]

Collaborators: Yong Guo (HUAWEI Inc.), Shuaicheng Niu (NTU), Shoukai Xu (SCUT), ZhiPeng Li (SCUT), Qi Chen (Adelaide University), Minli Li (Tencent Inc.), Yaowei Wang (Pengcheng Lab), Jingdong Wang (Baidu Inc.), Mingkui Tan (SCUT)