Xingyu Zhao @ PALM, SEU

赵星宇
Xingyu Zhao
Ph.D. Student
PAttern Learning and Mining(PALM) Lab
School of computer science and engineering
Southeast University, Nanjing

Supervisor: Professor Xin Geng
Email: xyzhao@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
2012.09 ~ 2016.06: B.Sc, Department of School of Computer Science and Technology , China University of Mining and Technology, China

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, in press.
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, in press. (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, Jing Wang. From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, in press.
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Continuous Label Distribution Learning. Pattern Recognition, 2023, 133: 109056.
Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia. An effective asynchronous framework for small scale reinforcement learning problems. Applied Intelligence, 2019, 49(12): 4303-4318.
Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia. Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Applied Intelligence, 2019, 49(2): 581-591.
Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue. A review on multi-class TWSVM. Artificial Intelligence Review, 2019, 52(2): 775-801.
Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia. Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Applied Intelligence, 2018, 48(12): 4889-4904.
Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue. NSCT-PCNN image fusion based on image gradient motivation. IET Computer Vision, 2018, 12(4): 377-383.

Merit Graduate Student, Southeast University, 2022
Outstanding Master's Thesis Nomination, Jiangsu Association of Artificial Intelligence, 2019
Outstanding Graduates, China University of Mining and Technology, 2019
Outstanding Master's Thesis, China University of Mining and Technology, 2019
National Scholarship, Ministry of Education of the People's Republic of China, 2018

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