赵星宇，2024年6月博士毕业于东南大学。主要研究方向为机器学习与数据挖掘，具体包括多标记学习、标记分布学习、小样本学习等。已发表学术论文20余篇，包括IEEE TPAMI、IEEE TKDE、IEEE TNNLS、AAAI、IJCAI、ACM MM、PRJ等顶级期刊或会议论文，其中以第一作者或通讯作者发表论文10篇。同时，还担任NeurIPS、ICLR、CVPR、ECCV、IJCAI、AAAI、ACM MM、KDD、SDM、CAC等国内外重要会议程序委员会委员或审稿人以及IEEE TKDE、IEEE TMM、IEEE TCYB、ACM TOMM、IEEE RA-L、IET-IPR、FCS等国内外重要期刊审稿人。

部分代表论文：

● 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类期刊]

● 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类期刊]

● 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类期刊]

● 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, Ontario, Canada, 2023, 8932-8941. [CCF A类会议]

● 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类会议]

● 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类会议]

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

● 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类会议]

● 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类会议]