| 2025 | AAAI | ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. | Xinyu Geng, Jiaming Wang, Xiaolin Huang, Fanglin Chen, Jun Xu |
| 2025 | ICLR | Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. | Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang |
| 2025 | ICLR | Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. | Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang |
| 2025 | ICML | Primphormer: Efficient Graph Transformers with Primal Representations. | Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang |
| 2025 | ICML | Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape. | Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang |
| 2025 | IROS | SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain. | Xiaoying Li, Long Xu, Xiaolin Huang, Donglai Xue, Zhihao Zhang, Zhichao Han, Chao Xu, Yanjun Cao, Fei Gao |
| 2024 | CVPR | OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning. | Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang |
| 2024 | CVPR | Friendly Sharpness-Aware Minimization. | Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang |
| 2024 | ECCV | Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. | Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok |
| 2024 | ICASSP | Phase Retrieval by Tensor Total Least Squares. | Jiani Liu, Ce Zhu, Yang Chen, Xiaolin Huang, Yipeng Liu |
| 2024 | ICIP | Efficient Black-Box Adversarial Attack on Deep Clustering Models. | Nan Yang, Zihan Li, Zhen Long, Xiaolin Huang, Ce Zhu, Yipeng Liu |
| 2024 | ICONIP | Enhancing Semi-supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training. | Xiaolin Huang, Binzhi Chen, Jiacheng Chen, Jingchun Lin, Ruihua Nie, Jun Liang |
| 2024 | IJCNN | Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification. | Zhilong Xiong, Jia Cai, Ranhui Yan, Xiaolin Huang |
| 2023 | ACML | Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. | Ruiqi Ding, Tao Li, Xiaolin Huang |
| 2023 | CVPR | Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. | Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang |
| 2023 | ICASSP | Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. | Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang |
| 2023 | ICLR | Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. | Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang |
| 2023 | ICLR | Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. | Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang |
| 2023 | ICLR | One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. | Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang |
| 2023 | IJCNN | Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. | Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang |
| 2023 | IJCNN | FG-UAP: Feature-Gathering Universal Adversarial Perturbation. | Zhixing Ye, Xinwen Cheng, Xiaolin Huang |
| 2022 | CIBCB | Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. | Shuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang |
| 2022 | CVPR | Subspace Adversarial Training. | Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang |
| 2022 | ECCV | PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. | Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou |
| 2022 | ICONIP | Mutual Diverse-Label Adversarial Training. | Mingzhe Li, Sizhe Chen, Xiaolin Huang |
| 2021 | AISTATS | Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures. | Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens |
| 2021 | ICIP | Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention. | Tianshu Chu, Zuopeng Yang, Jie Yang, Xiaolin Huang |
| 2021 | ICIP | ADVMIX: Data Augmentation for Accurate Scene Text Spotting. | Yizhang Huang, Kun Fang, Xiaolin Huang, Jie Yang |
| 2021 | ICIP | Residual Enhanced Multi-Hypergraph Neural Network. | Jing Huang, Xiaolin Huang, Jie Yang |
| 2021 | IJCNN | Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. | Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang |
| 2020 | AAAI | Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. | Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens |
| 2020 | AAAI | A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. | Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid |
| 2020 | ESANN | A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. | Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang |
| 2020 | ESANN | Learning from partially labeled data. | Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens |
| 2020 | ICIP | Type I Attack For Generative Models. | Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang |
| 2020 | ICPR | Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. | Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong |
| 2020 | MICCAI | Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. | Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu |
| 2019 | MICCAI | Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. | Yixing Huang, Alexander Preuhs, Gnter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas Maier |
| 2019 | MICCAI | AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. | Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang |
| 2018 | AAAI | Nonlinear Pairwise Layer and Its Training for Kernel Learning. | Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li |
| 2018 | DAS | Non-destructive Digitization of Soiled Historical Chinese Bamboo Scrolls. | Daniel Stromer, Vincent Christlein, Andreas K. Maier, Patrick Zippert, Eric Helmecke, Tino Hausotte, Xiaolin Huang |
| 2018 | ICIP | Privileged Semi-Supervised Learning. | Xingyu Chen, Chen Gong, Chao Ma, Xiaolin Huang, Jie Yang |
| 2018 | ICIP | Discrete Locally-Linear Preserving Hashing. | Xiang Li, Chao Ma, Jie Yang, Xiaolin Huang |
| 2018 | MICCAI | Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. | Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang |
| 2017 | ICIP | Self-paced least square semi-coupled dictionary learning for person re-identification. | Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang |
| 2017 | ICONIP | Robust Kernel Approximation for Classification. | Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola K. Kasabov |
| 2017 | ICONIP | A New Bayesian Method for Jointly Sparse Signal Recovery. | Haiyan Yang, Xiaolin Huang, Cheng Peng, Jie Yang, Li Li |
| 2017 | MVA | Sheet metal forming limits as classification problem. | Christian Jaremenko, Xiaolin Huang, Emanuela Affronti, Marion Merklein, Andreas K. Maier |
| 2013 | IJCNN | Fixed-size Pegasos for hinge and pinball loss SVM. | Vilen Jumutc, Xiaolin Huang, Johan A. K. Suykens |
| 2010 | SMC | Operation optimization for centrifugal chiller plants using continuous piecewise linear programming. | Xiaolin Huang, Jun Xu, Shuning Wang |
| 2008 | ICNC | A Second-Order Mapping PCA Based Intrinsic Dimension Estimate for Nonlinear Time Series. | Xiaolin Huang, Xinbao Ning |