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1. Kaixiang Chen, Pengfei Fang, Hui Xue*. Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond. In: Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS'25), in press, San Diego, USA, 2025.
2. Kaixiang Chen, Pengfei Fang, Hui Xue*. DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval. In: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'25), 958–967, Padua, Italy, 2025. [PDF]
3. Wenqian Li, Pengfei Fang, Hui Xue*. SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), 39(15), 15275-15283, Philadelphia, USA, 2025. [PDF]
4. Yongchun Qin, Pengfei Fang, Hui Xue*. PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), 39(19), 20051-20059, Philadelphia, USA, 2025. [PDF]
5. Jiang Lin, Hui Xue, Fanxiu Sun, Yaping Yan. Exploring the Relationship between Samples and Masks for Robust Defect Localization. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), 39(11), 12156-12164, Philadelphia, USA, 2025. [PDF]
6. Yecheng Zhao, ZiHan Zhou, Lei Qi, Hui Xue. Precision in Pathology: PMA-DETR Elevates Tumor Lesion Detection. In: Proceedings of the 50th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'25), Hyderabad, India, 2025. [PDF]
7. Chengyuan Li, Suyang Zhou, Jieping Kong, Lei Qi, Hui Xue. KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration. In: Proceedings of the 50th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'25), Hyderabad, India, 2025. [PDF]
8. Shipeng Zhu, Hui Xue*, Na Nie, Chenjie Zhu, Haiyue Liu, Pengfei Fang. Reproducing the Past: A Dataset for Benchmarking Inscription Restoration. In: Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM'24), 7714-7723, Melbourne, Australia, 2024 (Best Paper Nomination). [PDF]
9. Zuoyan Zhao, Hui Xue*, Pengfei Fang, Shipeng Zhu. PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution. In: Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM'24), 9769-9778, Melbourne, Australia, 2024. [PDF]
10. Jinyue Tian, Hui Xue*, Yanfang Xue, Pengfei Fang. Copula-Nested Spectral Kernel Network. In: Proceedings of the 41st International Conference on Machine Learning (ICML'24), 235:48280-48294, Vienna, Austria, 2024. [PDF]
11. Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue*. Text Image Inpainting via Global Structure-Guided Diffusion Models. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 38(7): 7775-7783, Vancouver, Canada, 2024. [PDF]
12. Yangfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, Hui Xue*. CosNet: A Generalized Spectral Kernel Network. In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), 36: 37273-37285, New Orleans, USA, 2023. [PDF]
13. Meimei Yang, Pengfei Fang, Hui Xue*. Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), 4469-4477, Macao, China, 2023. [PDF]
14. Yuexuan An, Xingyu Zhao, Hui Xue*. Learning to Learn from Corrupted Data for Few-Shot Learning. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), 3423-3431, Macao, China, 2023. [PDF]
15. Yongjuan Che, Yuexuan An, Hui Xue*. Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), 3505-3513, Macao, China, 2023. [PDF]
16. Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue*. Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), 37(3): 3843-3851, Washington DC, USA, 2023. [PDF]
17. Zheng-Fan Wu, Yi-Nan Feng, Hui Xue*. Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. In: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), 3594-3600, Vienna, Austria, 2022. [PDF]
18. Yuexuan An, Hui Xue*, Xingyu Zhao, Lu Zhang. Conditional Self-Supervised Learning for Few-Shot Classification. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), 2140-2146, Montreal, Quebec, Canada, 2021. [PDF]
19. Zheng-Fan Wu, Hui Xue*, Weimin Bai. Learning Deeper Non-monotonic Networks by Softly Transferring Solution Space. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), 3200-3206, Montreal, Quebec, Canada, 2021. [PDF]
20. Qiao Liu, Hui Xue*. Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaption. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), 2744-2750, Montreal, Quebec, Canada, 2021. [PDF]
21. Hui Xue*, Zheng-Fan Wu. BaKer-Nets: Bayesian Random Kernel Mapping Networks. In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 3073-3079, Yokohama, Japan, 2020. [PDF]
22. Hui Xue*, Zheng-Fan Wu, Wei-Xiang Sun. Deep Spectral Kernel Learning. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), 4019-4025, Macao, China, 2019. [PDF]
23. Hui Xue*, Yu Song, Hai-Ming Xu. Multiple Indefinite Kernel Learning for Feature Selection. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 3210-3216, Melbourne, Australia, 2017. [PDF]
24. Hai-Ming Xu, Hui Xue*, Xiao-Hong Chen, Yun-Yun Wang. Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), 2782-2788, San Francisco, California, USA, 2017. [PDF]
25. Chao Xing, Xin Geng, Hui Xue. Logistic Boosting Regression for Label Distribution Learning. In: Proceedings of the 26th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'16), 4489-4497, Las Vegas, Nevada, USA, 2016. [PDF]
26. Yin Zhou, Hui Xue, Xin Geng. Emotion Distribution Recognition from Facial Expressions. In: Proceedings of the 23rd ACM International Conference on Multimedia (ACM MM'15), 1247-1250, Brisbane, Australia, 2015. [PDF]
27. Hui Xue*, Yuexuan An, Yongchun Qin, Wenqian Li, Yixin Wu, Yongjuan Che, Pengfei Fang, Min-Ling Zhang. Towards Few-Shot Learning in the Open World: A Review and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'25), in press, 2025. [PDF]
28. Pengfei Fang, Qiang Xu, Hui Xue*. On Modulating Motion-Aware Visual-Language Representation for Few-Shot Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT'25), in press, 2025.
29. Pengfei Fang, Zhihong Chen, Hui Xue*. On Inferring Prototypes for Multi-Label Few-Shot Learning via Partial Aggregation. Pattern Recognition (PR'25), in press, 2025.
30. Yuexuan An, Hui Xue*, Xingyu Zhao, Ning Xu, Pengfei Fang, Xin Geng. Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS'24), 36(4): 6816-6828, 2024. [PDF]
31. Shipeng Zhu, Jun Fang, Pengfei Fang, Hui Xue*. Improving Scene Text Retrieval via Stylized Middle Modality. ACM Transactions on Multimedia Computing, Communications, and Application (ToMM'24), 20(12): 1-18, 2024. [PDF]
32. Yanfang Xue, Hui Xue*, Pengfei Fang, Shipeng Zhu, Lishan Qiao, Yuexuan An. Dynamic Functional Connections Analysis with Spectral Learning for Brain Disorder Detection. Artificial Intelligence in Medicine (AIM'24), 157: 102984, 2024. [PDF]
33. Yuexuan An, Hui Xue*, Xingyu Zhao, Jing Wang. From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'23), 45(8): 9757-9773, 2023. [PDF]
34. Meimei Yang, Qiao Liu, Xinkai Sun, Na Shi, Hui Xue*. Towards Kernelizing the Classifier for Hyperbolic Data. Frontiers of Computer Science (FCS'24), 18(1), 2024.
35. Jing Wang, Xin Geng, Hui Xue. Re-weighting Large Margin Label Distribution Learning for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'22), 44(9): 5445-5459, 2022. [PDF]
36. Yuexuan An, Hui Xue*. Indefinite Twin Support Vector Machine with DC Functions Programming. Pattern Recognition (PR'22), 121, 2022. [PDF]
37. Weixiang Sun, Hui Xue*. Learning Graph-level Representation from Local-structural Distribution with Graph Neural Networks. Knowledge-Based Systems (KBS'21), 230, 2021. [PDF]
38. Hui Xue*, Yu Song, Haiming Xu. Multiple Indefinite Kernel Learning for Feature Selection. Knowledge-Based Systems (KBS'20), 191(5), 2020. [PDF]
39. Hui Xue*, Haiming Xu, Xiaohong Chen, Yunyun Wang. A Primal Perspective for Indefinite Kernel SVM Problem. Frontiers of Computer Science (FCS'20), 14(2): 349-363, 2020. [PDF]
40. Hui Xue*, Sen Li, Xiaohong Chen, Yunyun Wang. A Maximum Margin Clustering Algorithm based on Indefinite Kernels. Frontiers of Computer Science (FCS'19), 13(4), 813-827, 2019. [PDF]
41. Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue. Joint Binary Classifier Learning for ECOC-based Multi-class Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'16), 38(11): 2335-2341, 2016. [PDF]
42. Yunyun Wang, Songcan Chen, Hui Xue*, Zhenyong Fu. Semi-supervised Classification Learning by Discrimination-aware Manifold Regularization. Neurocomputing (Neurocom'15), 147: 299-306, 2015. [PDF]
43. Hui Xue*, Songcan Chen. Discriminality-driven Regularization Framework for Indefinite Kernel Machine. Neurocomputing (Neurocom'14), 133: 209-221, 2014. [PDF]
44. Yunyun Wang, Songcan Chen, Hui Xue. Can Under-exploited Structure of Original-classes Help ECOC-based Multi-class Classification? Neurocomputing (Neurocom'12), 89: 158-167, 2012. [PDF]
45. Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou. A Unified Dimensionality Reduction Framework for semi-paired and semi-supervised multi-view data. Pattern Recognition (PR'12), 45(5): 2005-2018, 2012. [PDF]
46. Hui Xue, Songcan Chen, Qiang Yang. Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Transactions on Neural Networks (TNN'11), 22(4): 573-587, 2011. [PDF]
47. Hui Xue, Songcan Chen, Qiang Yang. Discriminatively Regularized Least-squares Classification. Pattern Recognition (PR'09), 42(1): 93-104, 2009. [PDF]
48. Hui Xue, Yulian Zhu, Songcan Chen. Local Ridge Regression for Face Recognition. Neurocomputing (Neurocom'09), 72: 1342-1346, 2009. [PDF]
49. Hui Xue, Songcan Chen, Xiaoqin Zeng. Classifier Learning with A New Locality Regularization Method. Pattern Recognition (PR'08), 41(5): 1479-1490, 2008. [PDF]
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