| Emotion distribution recognition from facial expressions Y Zhou, H Xue, X Geng Proceedings of the 23rd ACM international conference on Multimedia, 1247-1250, 2015 | 156 | 2015 |
| Discriminatively regularized least-squares classification H Xue, S Chen, Q Yang Pattern Recognition 42 (1), 93-104, 2009 | 128 | 2009 |
| Structural regularized support vector machine: a framework for structural large margin classifier H Xue, S Chen, Q Yang IEEE Transactions on Neural Networks 22 (4), 573-587, 2011 | 126 | 2011 |
| Joint binary classifier learning for ECOC-based multi-class classification M Liu, D Zhang, S Chen, H Xue IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (11), 2335 …, 2015 | 100 | 2015 |
| A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data X Chen, S Chen, H Xue, X Zhou Pattern Recognition 45 (5), 2005-2018, 2012 | 89 | 2012 |
| SVM: Support vector machines H Xue, Q Yang, S Chen The top ten algorithms in data mining, 51-74, 2009 | 75 | 2009 |
| Logistic boosting regression for label distribution learning C Xing, X Geng, H Xue Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 73 | 2016 |
| Structural support vector machine H Xue, S Chen, Q Yang Advances in Neural Networks-ISNN 2008: 5th International Symposium on Neural …, 2008 | 53 | 2008 |
| Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. Q Liu, H Xue IJCAI, 2744-2750, 2021 | 47 | 2021 |
| Ranking responses oriented to conversational relevance in chat-bots B Wu, B Wang, H Xue Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 37 | 2016 |
| Solving indefinite kernel support vector machine with difference of convex functions programming HM Xu, H Xue, XH Chen, YY Wang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 35 | 2017 |
| Local ridge regression for face recognition H Xue, Y Zhu, S Chen Neurocomputing 72 (4-6), 1342-1346, 2009 | 35 | 2009 |
| Conditional Self-Supervised Learning for Few-Shot Classification. Y An, H Xue, X Zhao, L Zhang IJCAI 8, 2140-2146, 2021 | 34 | 2021 |
| Semi-supervised classification learning by discrimination-aware manifold regularization Y Wang, S Chen, H Xue, Z Fu Neurocomputing 147, 299-306, 2015 | 34 | 2015 |
| Deep Spectral Kernel Learning. H Xue, ZF Wu, WX Sun IJCAI, 4019-4025, 2019 | 32 | 2019 |
| Universum linear discriminant analysis XH Chen, SC Chen, H Xue Electronics letters 48 (22), 1407-1409, 2012 | 29 | 2012 |
| Multiple indefinite kernel learning for feature selection H Xue, Y Song, HM Xu Knowledge-Based Systems 191, 105272, 2020 | 24 | 2020 |
| Re-weighting large margin label distribution learning for classification J Wang, X Geng, H Xue IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5445-5459, 2021 | 23 | 2021 |
| Source-free unsupervised domain adaptation with sample transport learning Q Tian, C Ma, FY Zhang, S Peng, H Xue Journal of Computer Science and Technology 36 (3), 606-616, 2021 | 20 | 2021 |
| {AutoSys}: The Design and Operation of {Learning-Augmented} Systems CJM Liang, H Xue, M Yang, L Zhou, L Zhu, ZL Li, Z Wang, Q Chen, ... 2020 USENIX Annual Technical Conference (USENIX ATC 20), 323-336, 2020 | 19 | 2020 |
