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Kun Fang
First year graduate student of Department of Automation
in Shanghai Jiao Tong University.
A member of PAMI lab led by professor Jie Yang.
My supervisor is professor Jie Yang.
Email: fanghenshao@sjtue.edu.cn
Currently I am first year graduate student of Department of Automation in Shanghai Jiao Tong University and a member of PAMI lab led by professor Jie Yang.
2024年期刊论文和会议论文
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[1]
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Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang: Towards robust neural networks via orthogonal diversity, Pattern Recognition, 749: 110281, 2024
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[2]
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Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang: Revisiting random weight perturbation for efficiently improving generalization, Transactions on Machine Learning Research, accepted, 2024
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[3]
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Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang: Revisiting deep ensemble for out-of-distribution detection: A loss landscape perspective, International Journal of Computer Vision, accepted, 2024
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[4]
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Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang: Kernel PCA for out-of-distribution detection, in proceedings of Neural Information Processing Systems (NeurIPS), Vancouver, Canada, pp. 1-9, 2024
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2023年期刊论文和会议论文
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[1]
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Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang: End-to-end Kernel Learning via Generative Random Fourier Features, Pattern Recognition, 134: 109057, 2023
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[2]
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Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang: Unifying gradients to improve real-world robustness for deep networks, ACM Transactions on Intelligent Systems and Technology, 1-20, 2023
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2022年期刊论文和会议论文
2021年期刊论文和会议论文
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[1]
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Yizhang Huang,Kun Fang,Xiaolin Huang,Jie Yang: ADVMIX: DATA AUGMENTATION FOR ACCURATE SCENE TEXT SPOTTING, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Toronto, ON, Canada, pp. 954-958, 2021
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