| 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 | 60 | 2022 |
| 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 | 14 | 2022 |
| End-to-end kernel learning via generative random Fourier features K Fang, F Liu, X Huang, J Yang Pattern Recognition 134, 109057, 2023 | 8 | 2023 |
| 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 | 6 | 2024 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| Revisiting deep ensemble for out-of-distribution detection: A loss landscape perspective K Fang, Q Tao, X Huang, J Yang International Journal of Computer Vision, 1-20, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 |
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
