Yuexuan An @ PALM, SEU

安悦瑄
Yuexuan An
Ph.D. Student
PAttern Learning and Mining(PALM) Lab
School of computer science and engineering
Southeast University, Nanjing

Supervisor: Professor Hui Xue
Email: yx_an@seu.edu.cn

Biography

2019.09 ~ Now: Ph.D, Department of School of Computer Science and Engineering, Southeast University, China
2016.09 ~ 2019.06: M.Sc, Department of School of Computer Science and Technology, China University of Mining and Technology, China
2011.09 ~ 2015.06: B.Sc, Department of School of Computer Science and Technology, Jiangsu Normal University, China

Research Interests

My current research interests include Machine Learning and Computer Vision. Currently, I'm focused on:

Few-Shot Learning.
Self-Supervised Learning.

Selected Publications

Conference Papers

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

Journal Articles

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. [pdf]
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. [pdf, code]
Yuexuan An, Hui Xue. Indefinite twin support vector machine with DC functions programming. Pattern Recognition (PRJ), 2022, 121: 108195. [pdf]
Yuexuan An, Shifei Ding, Songhui Shi, Jingcan Li. Discrete space reinforcement learning algorithm based on support vector machine classification. Pattern Recognition Letter (PRL), 2018, 111: 30-35. [pdf]
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.
Zhichao Yan, Yuexuan An, Hui Xue. Reinforced Self-Supervised Training for Few-Shot Learning. IEEE Signal Processing Letters (SPL), 2024, in press.
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Continuous Label Distribution Learning. Pattern Recognition (PRJ), 2023, 133: 109056.
Shifei Ding, Yuexuan An, Xiekai Zhang, Fulin Wu, Yu Xue. Wavelet twin support vector machines based on glowworm swarm optimization. Neurocomputing, 2017, 225: 157-163.

Awards & Honors

Pacemaker to Outstanding Graduate Student Cadre, SEU, 2022.
Tencent scholarship, SEU, 2021.
Outstanding Graduate Student, CUMT, 2019.
National Scholarship for Postgraduate, MOE of PRC, 2018.
Outstanding Student Leader, Jiangsu Province, 2014.

Correspondence

Email: yx_an@seu.edu.cn
Laboratory: 448, Building of Computer Science and Engineering, Southeast University.