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2020 – today
- 2025
[j15]Yixin Wu, Hui Xue, Yuexuan An, Pengfei Fang:
Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data. IEEE Signal Process. Lett. 32: 86-90 (2025)- 2024
- [j14]Yanfang Xue
, Hui Xue, Pengfei Fang, Shipeng Zhu, Lishan Qiao, Yuexuan An:
Dynamic functional connections analysis with spectral learning for brain disorder detection. Artif. Intell. Medicine 157: 102984 (2024) - [j13]Zhichao Yan, Yuexuan An, Hui Xue:
Reinforced Self-Supervised Training for Few-Shot Learning. IEEE Signal Process. Lett. 31: 731-735 (2024) - [j12]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2716-2729 (2024) - [i2]Hui Xue, Yuexuan An, Yongchun Qin, Wenqian Li, Yixin Wu, Yongjuan Che, Pengfei Fang, Minling Zhang:
Towards Few-Shot Learning in the Open World: A Review and Beyond. CoRR abs/2408.09722 (2024) - 2023
- [j11]Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang:
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9757-9773 (2023) - [j10]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Continuous label distribution learning. Pattern Recognit. 133: 109056 (2023) - [c6]Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng:
Imbalanced Label Distribution Learning. AAAI 2023: 11336-11344 - [c5]Yuexuan An, Xingyu Zhao, Hui Xue:
Learning to Learn from Corrupted Data for Few-Shot Learning. IJCAI 2023: 3423-3431 - [c4]Yongjuan Che, Yuexuan An, Hui Xue:
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. IJCAI 2023: 3505-3513 - [c3]Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng:
Generalizable Label Distribution Learning. ACM Multimedia 2023: 8932-8941 - [i1]Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng:
Scalable Label Distribution Learning for Multi-Label Classification. CoRR abs/2311.16556 (2023) - 2022
- [j9]Yuexuan An, Hui Xue:
Indefinite twin support vector machine with DC functions programming. Pattern Recognit. 121: 108195 (2022) - [c2]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Fusion Label Enhancement for Multi-Label Learning. IJCAI 2022: 3773-3779 - 2021
- [c1]Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang:
Conditional Self-Supervised Learning for Few-Shot Classification. IJCAI 2021: 2140-2146 - 2020
- [j8]Shifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia:
Multiple birth support vector machine based on recurrent neural networks. Appl. Intell. 50(7): 2280-2292 (2020)
2010 – 2019
- 2019
- [j7]Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia:
Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Appl. Intell. 49(2): 581-591 (2019) - [j6]Shi-Fei Ding, Yuexuan An:
Multiple Birth Support Vector Machine with Triplet Loss Function. J. Inf. Sci. Eng. 35(6): 1365-1376 (2019) - 2018
- [j5]Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia:
Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Appl. Intell. 48(12): 4889-4904 (2018) - [j4]Yuexuan An, Shifei Ding, Jipu Hu:
孪生支持向量机综述 (Twin Support Vector Machine: A Review). 计算机科学 45(11): 29-36 (2018) - [j3]Yuexuan An, Shifei Ding, Songhui Shi, Jingcan Li:
Discrete space reinforcement learning algorithm based on support vector machine classification. Pattern Recognit. Lett. 111: 30-35 (2018) - 2017
- [j2]Shifei Ding, Yuexuan An, Xiekai Zhang, Fulin Wu, Yu Xue:
Wavelet twin support vector machines based on glowworm swarm optimization. Neurocomputing 225: 157-163 (2017) - [j1]Shifei Ding, Xiekai Zhang, Yuexuan An, Yu Xue:
Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification. Pattern Recognit. 67: 32-46 (2017)
Coauthor Index
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