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Yun-Hao Cao, |
I'm a third year Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group(LAMDA Publications), led by professor Zhi-Hua Zhou. Before my Ph.D. career, I received my B.Sc. degree in Computer Science and Technology in June 2018 from Nanjing University.
I expect to graduate with a Ph.D. in June 2024 and am looking for a job.
My research interests include: Computer Vision and Machine Learning. Currently, I focus on self-supervised learning and pre-trained models.
Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang, Chuanyang Zheng, Jiajia Liu, Jian Wang, Jingdong Chen and Ming Yang. Towards Better Vision-Inspired Vision-Language Models. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2024), Seattle, USA, June 2024, pp. xxx-xxx. To appear. [paper]
Yun-Hao Cao, Peiqin Sun and Shuchang Zhou. Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2023), Vancouver, Canada, June 2023, pp. 15742-15751. [paper] [arxiv] [code]
Yun-Hao Cao, Yechang Huang, Peiqin Sun, Jianxin Wu and Shuchang Zhou. Synergistic Self-Supervised and Quantization Learning. In Proceedings of the 17th European Conference on Computer Vision (ECCV2022 oral), Tel Aviv, Israel, Oct. 2022, LNCS vol. 13690, pp. 587-604. [paper] [arxiv] [code] [poster] [video] (Oral Presentation Acceptance Rates: 158/5803=2.7%)
Yun-Hao Cao, Hao Yu and Jianxin Wu. Training Vision Transformers with Only 2040 Images. In Proceedings of the 17th European Conference on Computer Vision (ECCV2022), Tel Aviv, Israel, Oct. 2022, LNCS vol. 13685, pp. 220-237. [paper] [arXiv] [code] [poster] [video]
Minghao Fu, Yun-Hao Cao and Jianxin Wu. Worst Case Matters for Few-Shot Recognition. In Proceedings of the 17th European Conference on Computer Vision (ECCV2022), Tel Aviv, Israel, Oct. 2022, LNCS vol. 13680, pp. 99-115. [paper] [arXiv] [code]
Yun-Hao Cao and Jianxin Wu. A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI2022 oral), Virtual, Feb. 2022, pp. 194-202. [paper] [arXiv] [code] (Oral Presentation Acceptance Rates: 384/9020=4.3%)
Chen-Lin Zhang, Yun-Hao Cao and Jianxin Wu. Rethinking the Route Towards Weakly Supervised Object Localization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), Virtual, Jun. 2020, pp. 13460-13469. [paper] [arXiv] [code]
Yun-Hao Cao and Jianxin Wu. Tobias: A Random CNN Sees Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), To appear, [paper] [code]
Yun-Hao Cao and Jianxin Wu. Random Subspace Sampling for Classification with Missing Data. Journal of Computer Science and Technology (JCST), To appear, DOI:https://doi.org/10.1007/s11390-023-1611-9. [paper] [code]
Yun-Hao Cao, Jianxin Wu, Hanchen Wang and Joan Lasenby. Neural Random Subspace. Pattern Recognition, Vol. 112, Article 107801, 2021. [paper] [arXiv] [code]
Yun-Hao Cao and Jianxin Wu. Rethinking Self-supervised Learning: Small is Beautiful. [paper] [arXiv] [code]
Yun-Hao Cao and Jianxin Wu. On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning. [paper] [arXiv] [code]
ECCV2020, ICPR2020, IJCAI2021, ICLR2022, CVPR2022, ECCV2022, NeurIPS2022, AAAI2023, CVPR2023, ICLR2023, ICML2023, ICCV2023, NeurIPS2023, AAAI2024, ICLR2024, CVPR2024, ICML2024
Pattern Recognition. Spring, 2020.
Pattern Recognition. Spring, 2023.
The special award of Elite Plan in Nanjing University. Nanjing University, 2015
The second prize of Elite Plan in Nanjing University. Nanjing University, 2016
The first prize of Elite Plan in Nanjing University. Nanjing University, 2017
The scholarship of ZhengGang in Nanjing University. Nanjing University, 2017
Yun-Hao Cao
National Key Laboratory for Novel Software Technology
Nanjing University
Nanjing 210023, China
912, Building of Computer Science and Technology, Xianlin Campus of Nanjing University