Xingyu Zhao @ PALM, SEU
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
Research Interests
Machine Learning
Data Mining
Selected Publications
-
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.
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.
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, 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.
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.
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. Continuous Label Distribution
Learning. Pattern Recognition (PRJ), 2023, 133: 109056.
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.
Awards
Huawei Scholarship, Southeast University Education Foundation, 2023
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
Correspondence
- Email
-
xyzhao@seu.edu.cn
- Laboratory
-
448, Building of Computer Science and Engineering, Southeast University.
|