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

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

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.
Yuexuan An, Xingyu Zhao, Hui Xue. Learning to Learn from Corrupted Data for Few-Shot Learning. In: Proceedings of 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, China, 2023, 3423-3431.
Yongjuan Che, Yuexuan An, Hui Xue. Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. In: Proceedings of 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 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 31st International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022, 3773-3779. (Long Oral, Acceptance rate 3.7%)
Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang. Conditional self-supervised learning for few-shot classification. In: Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, Quebec, Canada, 2021, 2140-2146.

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.
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.
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), 2023, in press.
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.
Yuexuan An, Hui Xue. Indefinite twin support vector machine with DC functions programming. Pattern Recognition (PRJ), 2022, 121: 108195.
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.
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.

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