Learn Robust Features via Orthogonal Multi-Path. - Kun Fang 004; Yingwen Wu; Tao Li 054; Xiaolin Huang; Jie Yang 002 (CoRR, 2020)

Robust Deep Facial Attribute Prediction against Adversarial Attacks. - Kun Fang 004; Jie Yang 002 (ICCAI, 2021)

ADVMIX: Data Augmentation for Accurate Scene Text Spotting. - Yizhang Huang; Kun Fang 004; Xiaolin Huang; Jie Yang 002 (ICIP, 2021)

Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. - Qin Luo; Kun Fang 004; Jie Yang 002; Xiaolin Huang (IJCNN, 2021)

Subspace Adversarial Training. - Tao Li 054; Yingwen Wu; Sizhe Chen; Kun Fang 004; Xiaolin Huang (CVPR, 2022)

Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. - Yiming Sun; Zhiqiang Xie; Kun Fang 004; Enmei Tu; Jie Yang 002 (DMBD (1), 2022)

Local-Global Semantic Fusion Single-shot Classification Method. - Jianwei Cai; Kun Fang 004; Weihao Yu 004; Jie Yang 002; Yu Qiao (ICONIP (1), 2022)

CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene. - Pengjin Wei; Guohang Yan; Yikang Li; Kun Fang 004; Xinyu Cai; Jie Yang 002; Wei Liu 044 (IROS, 2022)

Efficient Generalization Improvement Guided by Random Weight Perturbation. - Tao Li 054; Weihao Yan; Zehao Lei; Yingwen Wu; Kun Fang 004; Ming Yang; Xiaolin Huang (CoRR, 2022)

End-to-end kernel learning via generative random Fourier features. - Kun Fang 004; Fanghui Liu 001; Xiaolin Huang; Jie Yang 002 (Pattern Recognit., 2023)

Improving adversarial robustness through a curriculum-guided reliable distillation. - Jiawen Li; Kun Fang 004; Xiaolin Huang; Jie Yang 002 (Comput. Secur., 2023)

Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity. - Tianshu Chu; Kun Fang 004; Jie Yang 002; Xiaolin Huang (Pattern Recognit. Lett., 2023)

Unifying Gradients to Improve Real-World Robustness for Deep Networks. - Yingwen Wu; Sizhe Chen; Kun Fang 004; Xiaolin Huang (ACM Trans. Intell. Syst. Technol., 2023)

Kernel PCA for Out-of-Distribution Detection. - Kun Fang 004; Qinghua Tao; Kexin Lv; Mingzhen He; Xiaolin Huang; Jie Yang 002 (NeurIPS, 2024)

DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection. - Kun Fang 004; Qinghua Tao; Zuopeng Yang; Xiaolin Huang; Jie Yang 002 (CoRR, 2024)

Boosting certified robustness via an expectation-based similarity regularization. - Jiawen Li; Kun Fang 004; Xiaolin Huang; Jie Yang 002 (Image Vis. Comput., 2024)

Towards robust neural networks via orthogonal diversity. - Kun Fang 004; Qinghua Tao; Yingwen Wu; Tao Li 054; Jia Cai; Feipeng Cai; Xiaolin Huang; Jie Yang 002 (Pattern Recognit., 2024)

Revisiting Random Weight Perturbation for Efficiently Improving Generalization. - Tao Li 054; Qinghua Tao; Weihao Yan; Yingwen Wu; Zehao Lei; Kun Fang 004; Mingzhen He; Xiaolin Huang (Trans. Mach. Learn. Res., 2024)

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective. - Kun Fang 004; Qinghua Tao; Xiaolin Huang; Jie Yang 002 (Int. J. Comput. Vis., 2024)

Multi-head ensemble of smoothed classifiers for certified robustness. - Kun Fang 004; Qinghua Tao; Yingwen Wu; Tao Li 054; Xiaolin Huang; Jie Yang 002 (Neural Networks, 2025)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. - Kun Fang 004; Qinghua Tao; Mingzhen He; Kexin Lv; Runze Yang; Haibo Hu; Xiaolin Huang; Jie Yang 002; Longbing Cao (CoRR, 2025)

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting. - Runze Yang; Longbing Cao; Xin You; Kun Fang 004; Jianxun Li; Jie Yang 002 (CoRR, 2025)