学术个人空间

About Me

I am a post-doctoral researcher at with School of Future Technology at South China University of Technology, working with Prof. Mingkui Tan and Prof. Cen Chen. I received my bachelor and PHD degree from South China University of Technology in 2018 and 2024, respectively. My research interests include efficient architecture design and out-of-distribution generalization. I published papers in top venues, including ICML, ICLR, CVPR, AAAI, IEEE TCSVT and Neural Networks. As of now, my research has been cited more than 847 times, as reported by Google Scholar. I served as the reviewer for several top-tier machine learning/computer vision conferences, including ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV and AAAI.

News

2025.03: One collaborative paper accepted by IEEE TPAMI!
2024.12: Successfully accomplished my PhD thesis defense!
2024.12: One collaborative paper accepted by AAAI 2025!
2024.12: One collaborative paper accepted by IEEE TCSVT!
2024.04: One paper accepted by IEEE TCSVT!

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Publications

๏ Conference Paper

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, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan
International Conference on Learning Representations (ICLR 2024)
PDF / Poster / Slides / Code / BibTeX
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo^*, Yaofo Chen^*, 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

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๏ Journal Paper

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)
PDF / 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
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2025)
PDF (To Be Released) / Code (To Be Released) / BibTeX (To Be Released)

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๏ Pre-print Paper

Core Context Aware Attention for Long Context Language Modeling
Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan
arXiv:2412.12465, 2024.
PDF / BibTeX

Academic Services

International Conference on Learning Representations (ICLR), Reviewer 2022-2025
International Conference on Machine Learning (ICML), Reviewer 2021-2025
Conference on Neural Information Processing Systems (NeurIPS), Reviewer 2021-2025
Conference on Computer Vision and Pattern Recognition (CVPR), Reviewer 2022-2025
International Conference on Computer Vision (ICCV), Reviewer 2023-2025
European Conference on Computer Vision (ECCV), Reviewer 2022-2024
AAAI Conference on Artificial Intelligence (AAAI), Reviewer 2025