I am a Ph.D. candidate 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 (NAS) for efficient deep architectures and
test-time adaptation (TTA) for out-of-distribution
generalization.
I published papers in top venues, including ICML, ICLR, CVPR, IEEE TCSVT and Neural Networks.
I served as the reviewer for several top-tier machine learning/computer vision conferences, including
ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV and AAAI.
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
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)
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Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan
International Conference on Learning Representations (ICLR 2024)
[PDF]
[Poster]
[Slides]
[Code]
[BibTeX]
Automated Dominative Subspace Mining for Efficient Neural Architecture Search
Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie
Song, James Tin-Yau Kwok, Mingkui Tan
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2024)
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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)
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Poster] [
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Content-aware Convolutional Neural Networks
Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen,
Jingdong Wang
Neural Networks (2021)
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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)
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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)
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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)
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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)