Xiaolin Huang (黄晓霖)
Shanghai Jiao Tong University
H-index: 35
Asia-China
Top articles of Xiaolin Huang (黄晓霖)
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Revisiting Random Weight Perturbation for Efficiently Improving Generalization | arXiv preprint arXiv:2404.00357 | Tao Li Qinghua Tao Weihao Yan Zehao Lei Yingwen Wu | 2024/3/30 |
Kernel PCA for Out-of-Distribution Detection | arXiv preprint arXiv:2402.02949 | Kun Fang Qinghua Tao Kexin Lv Mingzhen He Xiaolin Huang | 2024/2/5 |
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning | arXiv preprint arXiv:2403.13351 | Xinyu Geng Jiaming Wang Jiawei Gong Yuerong Xue Jun Xu | 2024/3/20 |
Friendly sharpness-aware minimization | arXiv preprint arXiv:2403.12350 | Tao Li Pan Zhou Zhengbao He Xinwen Cheng Xiaolin Huang | 2024/3/19 |
Consensus-based distributed algorithm for GEP | Signal Processing | Kexin Lv Fan He Xiaolin Huang Jie Yang | 2024/3/1 |
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information | Ruiqi Ding Tao Li Xiaolin Huang | 2024/2/27 | |
Machine Unlearning by Suppressing Sample Contribution | arXiv preprint arXiv:2402.15109 | Xinwen Cheng Zhehao Huang Xiaolin Huang | 2024/2/23 |
Investigating catastrophic overfitting in fast adversarial training: a self-fitting perspective | Zhengbao He Tao Li Sizhe Chen Xiaolin Huang | 2023 | |
Trainable weight averaging: Efficient training by optimizing historical solutions | Tao Li Zhehao Huang Qinghua Tao Yingwen Wu Xiaolin Huang | 2023/5/1 | |
Weighted neural tangent kernel: A generalized and improved network-induced kernel | Machine Learning | Lei Tan Shutong Wu Wenxing Zhou Xiaolin Huang | 2023/8 |
Low-Dimensional Gradient Helps Out-of-Distribution Detection | arXiv preprint arXiv:2310.17163 | Yingwen Wu Tao Li Xinwen Cheng Jie Yang Xiaolin Huang | 2023/10/26 |
Machine learning of histomorphological features predict response to neoadjuvant therapy in locally advanced rectal cancer | Journal of Gastrointestinal Surgery | Anqi Wang Ruiqi Ding Jing Zhang Beibei Zhang Xiaolin Huang | 2023/1/1 |
Self-ensemble protection: Training checkpoints are good data protectors | Sizhe Chen Geng Yuan Xinwen Cheng Yifan Gong Minghai Qin | 2023/5/1 | |
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective | arXiv preprint arXiv:2310.14227 | Kun Fang Qinghua Tao Xiaolin Huang Jie Yang | 2023/10/22 |
Improving Colonoscopy Polyp Detection Rate Using Semi-Supervised Learning | Journal of Shanghai Jiaotong University (Science) | Leyu Yao Fan He Haixia Peng Xiaofeng Wang Lu Zhou | 2023/8 |
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity | Pattern Recognition Letters | Tianshu Chu Kun Fang Jie Yang Xiaolin Huang | 2023/12/1 |
One-pixel shortcut: on the learning preference of deep neural networks | Shutong Wu Sizhe Chen Cihang Xie Xiaolin Huang | 2023/5/1 | |
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | arXiv preprint arXiv:2310.05236 | Fan He Mingzhen He Lei Shi Xiaolin Huang Johan AK Suykens | 2023/10/8 |
Learning non-parametric kernel via matrix decomposition for logistic regression | Pattern Recognition Letters | Kaijie Wang Fan He Mingzhen He Xiaolin Huang | 2023/7/1 |
Unifying Gradients to Improve Real-World Robustness for Deep Networks | ACM Transactions on Intelligent Systems and Technology | Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang | 2023/11/14 |
Co-Authors
