安悦瑄
职称:讲师
联系电话:
电子邮箱:anyx@hhu.edu.cn
教育背景

2024年于东南大学软件工程专业获得博士学位
研究领域
机器学习与模式识别
获奖情况
学术成果

代表期刊论文:

[1] 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), 2023, 45(8): 9757-9773. [CCF A]

[2] 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), 2024, in press. [CCF B]

[4] Yuexuan An, Hui Xue. Indefinite twin support vector machine with DC functions programming. Pattern Recognition (PRJ), 2022, 121: 108195. [CCF B]

[5] Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 36(6): 2716-2729. [CCF A]

[6] Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Continuous Label Distribution Learning. Pattern Recognition (PRJ), 2023, 133: 109056. [CCF B]

 

代表会议论文:

[1] 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), Macao, China, 2023, 3423-3431. [CCF A]

[2] 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), Montreal, Quebec, Canada, 2021, 2140-2146. [CCF A]

[3] 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), Macao, China, 2023, 3505-3513. [CCF A]

[4] Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng. Imbalanced Label Distribution Learning. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), Washington, DC, USA, 2023, 11336-11344. (Oral) [CCF A]

[5]Xingyu Zhao, Lei Qi, [5]Yuexuan An, Xin Geng. Generalizable Label Distribution Learning. In: Proceedings of the 31st ACM International Conference on Multimedia (MM'23), Ottawa, Ontario, Canada, 2023, 8932-8941. [CCF A]

[6] Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Fusion Label Enhancement for Multi-Label Learning. In: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022, 3773-3779. (Long Oral, Acceptance rate 3.7%) [CCF A]