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

  • 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 the 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 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%)

  • 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.

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.

  • 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), 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.

  • 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.

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.