-
M. He, R. Yang, H. Tian, X. Huang*: Primphormer: Efficient graph transformers with primal representations, in International Conference on Machine Learning (ICML), 2025
-
T. Li, Z. He, Y. Li, Y. Wang, L. Shang, X. Huang*, Flat-LoRA: Low-rank adaption over a flat loss landscape, in International Conference on Machine Learning (ICML), 2025
-
H. Tian, Y. Liu, M. He, Z. He, Z. Huang, R. Yang, X. Huang*: Simulating training dynamics to reconstruct training data from deep neural networks, in International Conference on Learning Representations, 2025
-
Y. Wu, R. Yu, X. Cheng, Z. He, X. Huang*: Pursuing feature separation based on neural collapse for out-of-distribution detection, in International Conference on Learning Representations, 2025
-
Z. Huang, X. Cheng, J. Zheng, H. Wang, Z. He, T. Li, X. Huang*: Unified gradient-based machine unlearning with Remain geometry enhancement, in Neural Information Processing Systems, 2024.
-
K. Fang, Q. Tao, K. Lv, M. He, X. Huang*, J. Yang*: Kernel PCA for out-of-distribution detection, in Neural Information Processing Sytems, 2024
-
M. He, F. He, F. Liu, X. Huang*: Random Fourier features for asymmetric kernels, Machine Learning, 2024
-
T. Li, W. Jiang, F. Liu, X. Huang*, J. Kwok: Scalable learned model soup on a single GPU:
An efficient subspace training strategy, in European Conference on Computer Vision, 2024
-
R. Yang, F. He, J. Yang, X. Huang*: Decentralized kernel ridge regression based on data-dependent random feature, IEEE Transactions on Neural Networks and Learning Systems, 2024
-
T. Li, P. Zhou, Z. He, X. Cheng, X. Huang*: Fredenly sharpness-aware minimization, in Computer Vision and Pattern Recognition, 2024
-
X. Geng, J. Wang, J. Gong, Y. Xue, J. Xu*, F. Chen, X. Huang: OrthCaps: An orthogonal CapsNet with sparse attention routing and pruning, in Computer Vision and Pattern Recognition, 2024
-
K. Lv, J. Cai, J. Huo, C. Shang, X. Huang, J. Yang*: Sparse generalized canonical correlation analysis: Distributed alternating iteration based approach, Neural Computation, 2024
-
M. He, F. He, R. Yang, X. Huang*: Diffusion representation for asymmetric kernels via magnetic transform, Neural Information Processing Systems, 2023
-
J. Zhong, X. Huang, X. Yu*: Multi-frame self-supervised depth estimation with multi-scale feature fusion in dynamic senses, ACM International Conference on Multimedia, 2023
-
Y. Chen, C. Shang, X. Huang, X. Yin*: Data-driven safe controller synthesis for deterministic systems: A posteriori method with validation tests, IEEE Conference on Decision and Control, 2023
-
T. Chu, Z. Yang, X. Huang*: Improving the post-training neural networks quantization by prepositive feature quantization, IEEE Transactions on Circuits and Systems for Video Technology, 2023
-
Y. Wu, S. Chen, K. Fang, X. Huang*: Unifying gradients to improve real-world robustness for deep networks, ACM Transactions on Intelligent Systems and Technology, 2023
-
L. Tan, S. Wu, W. Zhou, X. Huang*: Weighted neural tangent kernel: A generalized and improved network-induced kernel, Machine Learning, 2023.
-
S. Wu, S. Chen, C. Xie, X. Huang*: One-pixel shortcut: On the learning preference of deep neural networks, in International Conference on Learning Representations, 2023.
-
T. Li, Z. Huang, Q. Tao, Y. Wu, X. Huang*: Trainable weight averaging: Efficient training by optimizing historical solutions, in International Conference on Learning Representations, 2023.
-
S. Chen, G. Yuan, X. Cheng, Y. Gong, M. Qin, Y. Wang, X. Huang*: Self-ensemble protection: Training checkpoints are good data protectors, in International Conference on Learning Representations, 2023.
-
S. Chen, Z. Huang, Q. Tao, X. Huang*: Query attack by multi-identity surrogates, IEEE Transactions on Artificial Intelligence, 2023.
-
F. He, M. He, L. Shi*, X. Huang*: Global search and analysis for the non-convex two-level l1 penalty, IEEE Transactions on Neural Networks and Learning Systems, 2022.
-
T. Yan, X. Huang, Q. Zhao*: Hierarchical superpixel segmentation by parallel CRTrees labeling, IEEE Transactions on Image Processing, 2022
-
Y. Gu*, Y. Xu, X. Huang, J. Yang, W. Xue, G.-Z. Yang: Towards robust histology-prior embedding for endomicroscopy image classification, IEEE Transactions on Medical Imaging, 2022
-
S. Chen, Z. Huang, Q. Tao, Y. Wu, C. Xie, X. Huang*: Adversarial attack on attackers: Post-process to mitigate black-box score-based query attacks, in Neural Information Processing Systems, 2022
-
T. Li, Y. Wu, S. Chen, K. Fang, X. Huang*: Subspace Adversarial Training, in Computer Vision and Pattern Recognition, 2022.
-
F. Liu#, L. Shi#, X. Huang, J. Yang, J.A.K. Suykens: Analysis of regularized least-squares in reproducing kernel Kreĭn spaces, Machine Learning, 2021
-
Y. Qin, H. Zheng, Y. Gu, X. Huang, J. Yang*, L. Wang, F. Yao, Y.-M. Zhu, G.-Z. Yang: Learning tubule-sensitive CNNs for pulmonary airway and artery-vein segmentation in CT, IEEE Transactions on Medical Imaging, 2021
-
S. Chen*, X. Zhong, S. Dorn, N. Ravikumar, Q. Tao, X. Huang, M. Lell, M. Kachelriess, A. Maier: Improving generalization capability of multi-organ segmentation models using dual-energy CT, IEEE Transactions on Radiation and Plasma Medical Sciences, 2021
-
F. Liu, X. Huang*, L. Shi, J. Yang*, J.A.K. Suykens: A double-variational Bayesian framework in random Fourier features for indefinite kernels, IEEE Transactions on Neural Networks and Learning Systems, 2020
-
W. Xiao*, X. Huang*, F. He, J. Silva, S. Emrani, A.Chaudhuri: Online robust principal component analysis with change point detection, IEEE Transactions on Multimedia, 2020
-
C. Ma, C. Gong, X. Li, X. Huang, W. Liu, J. Yang*: Toward making unsupervised graph Hashing discriminative, IEEE Transactions on Multimedia, 22(3): 760-774, 2020.
-
Y. Qin, J. Wan, H. Zheng, X. Huang, J. Yang*, L. Wu, N. Song, Y. Zhu, G.-Z. Yang: Varifocal-Net: A chromosome classification approach using deep convolutional networks, IEEE Transactions on Medical Imaging, 2019.
-
F. Liu, X. Huang*, J.Yang*, C. Gong, J.A.K. Suykens: Indefinite kernel logistic regression with concave-inexact-convex procedure, IEEE Transactions on Neural Networks and Learning Systems, 2019
-
J. Cai, X. Huang*: Modified sparse linear-discriminant analysis via nonconvex penalties, IEEE Transactions on Neural Networks and Learning Systems, 2018
-
X. Huang*, J.A.K. Suykens, S. Wang, J. Hornegger, A. Maier: Classification with truncated l1 distance kernel, IEEE Transactions on Neural Networks and Learning Systems, 2018.
-
Y. Huang*, O. Taubmann, X. Huang, V. Haase, G. Lauritsch, A. Maier, Scale-space anisotropic total variation for limited angle tomography, IEEE Transactions on Radiation and Plasma Medical Sciences, 2018.
-
Y. Lu*, M. Kowarschik, X. Huang, S. Chen, Q. Ren, R. Fahrig, J. Hornegger, A. Maier: Material decomposition using ensemble learning for spectral X-ray imaging, IEEE Transactions on Radiation and Plasma Medical Sciences,2018.
-
F. Liu, C. Gong, X. Huang, T. Zhou, J. Yang*, D. Tao, Robust visual tracking revisited: From correlation filter to template matching, IEEE Transactions on Image Processing, 2018.
-
X. Huang*, L. Shi, J.A.K. Suykens: Solution path for pin-SVM classifiers with positive and negative tau value, IEEE Transactions on Neural Networks and Learning Systems, 2017.
-
Y. Liu*, S. Wu, X. Huang, B. Chen, C. Zhu, Hybrid CS-DMRI: Periodic time-variant subsampling and omnidirectional total variation based reconstruction, IEEE Transactions on Medical Imaging, 2017.
-
J. Wang*, R. Schaffert, A. Borsdorf, B. Heigl, X. Huang, J. Hornegger, A. Maier: Dynamic 2-D/3-D rigid registration framework using point-to-plane correspondence model, IEEE Transactions on Medical Imaging, 2017.
-
T. Köhler*, X. Huang, F. Schebesch, A. Aichert, A. Maier, and J. Hornegger: Robust Multi-Frame Super-Resolution Employing Iteratively Re-weighted Minimization, IEEE Transactions on Computational Imaging, 2(1): 42-58, 2016.
-
Y. Feng*, Y. Yang, X. Huang, S. Mehrkanoon, J.A.K. Suykens: Robust Support Vector Machines for Classification with Non-convex and Smooth Losses, Neural Computation, 28, 1217-1247, 2016.
-
Y. Yang*, Y. Feng, X. Huang, J.A.K. Suykens: Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems, SIAM Journal on Optimization, 26(1): 171-196, 2016.
-
C. Shang, F. Yang, X. Gao, X. Huang, J.A.K. Suykens, D. Huang*: Concurrent Monitoring of Operating Condition Deviations and Process Dynamics Anomalies with Slow Feature Analysis, AIChE Journal, 61(11): 3666-3682, 2015.
-
X. Huang*, L. Shi, J.A.K. Suykens: Asymmetric Least Squares Support Vector Machine, Computational Statistics and Data Analysis, 70: 395-405, 2014.
-
L. Shi*, X. Huang, J.A.K. Suykens: Quantile Regression with l1-regularization and Gaussian Kernels, Advances in Computational Mathematics, 40(2): 517-551, 2014.
-
X. Huang*, M. Matijas, J.A.K. Suykens: Hinging Hyperplanes for Time-Series Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 24(8): 1279-1291, 2013.
-
F. Chen*, X. Huang, J. Zhou: Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification, IEEE Transactions on Image Processing, 22(12): 4964-4971, 2013.
-
X. Huang, J. Xu, S. Wang*: Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming, Journal of Optimization Theory and Applications, 155: 145-164, 2012.
-
X. Huang, J. Xu, X. Mu, S. Wang*: The Hill Detouring Method for Minimizing Hinging Hyperplanes Functions, Computers and Operations Research, 39(7): 1763-1770, 2012.
-
S. Wang*, X. Huang, Y. Yeung: A Neural Network of Smooth Hinge Functions, IEEE Transactions on Neural Networks, 21(9): 1381-1395, 2010.
-
J. Xu, X. Huang, S. Wang*: Adaptive Hinging Hyperplanes and its Applications in Dynamic System Identification, Automatica, 45(10):2325-2332, 2009.
-
S. Wang*, X. Huang, K.K. Junaid: Configuration of Continuous Piecewise Linear Neural Networks, IEEE Transactions on Neural Networks, 19(8): 1431-1445, 2008