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Kun Fang
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Subspace Adversarial Training
T Li, Y Wu, S Chen, K Fang, X Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
522022
Croon: Automatic multi-lidar calibration and refinement method in road scene
P Wei, G Yan, Y Li, K Fang, X Cai, J Yang, W Liu
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
112022
Towards robust neural networks via orthogonal diversity
K Fang, Q Tao, Y Wu, T Li, J Cai, F Cai, X Huang, J Yang
Pattern Recognition 149, 110281, 2024
72024
End-to-end kernel learning via generative random Fourier features
K Fang, F Liu, X Huang, J Yang
Pattern Recognition 134, 109057, 2023
72023
Unifying Gradients to Improve Real-World Robustness for Deep Networks
Y Wu, S Chen, K Fang, X Huang
ACM Transactions on Intelligent Systems and Technology 14 (6), 1-16, 2023
32023
On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
K Fang, Q Tao, Y Wu, T Li, X Huang, J Yang
arXiv preprint arXiv:2211.10882, 2022
22022
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity
T Chu, K Fang, J Yang, X Huang
Pattern Recognition Letters 176, 117-122, 2023
12023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
K Fang, Q Tao, X Huang, J Yang
arXiv preprint arXiv:2310.14227, 2023
12023
ADVMIX: Data Augmentation for Accurate Scene Text Spotting
Y Huang, K Fang, X Huang, J Yang
2021 IEEE International Conference on Image Processing (ICIP), 954-958, 2021
12021
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
Q Luo, K Fang, J Yang, X Huang
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
12021
Kernel PCA for Out-of-Distribution Detection
K Fang, Q Tao, K Lv, M He, X Huang, J Yang
arXiv preprint arXiv:2402.02949, 2024
2024
Improving adversarial robustness through a curriculum-guided reliable distillation
J Li, K Fang, X Huang, J Yang
Computers & Security 133, 103411, 2023
2023
Local-Global Semantic Fusion Single-shot Classification Method
J Cai, K Fang, W Yu, J Yang, Y Qiao
International Conference on Neural Information Processing, 128-139, 2022
2022
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Articles 1–13