Xingyu Zhao @ PALM, SEU
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赵星宇 Supervisor: Professor Xin Geng |
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Biography
- 2019.09 ~ Now
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Ph.D, Department of School of Computer Science and Engineering , Southeast University, China
- 2016.09 ~ 2019.06
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M.Sc, Department of School of Computer Science and Technology , China University of Mining and Technology, China
- 2012.09 ~ 2016.06
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B.Sc, Department of School of Computer Science and Technology , China University of Mining and Technology, China
Research Interests
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Machine Learning
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Data Mining
Selected Publications
Conference Papers
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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.
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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.
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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)
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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%)
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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
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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.
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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.
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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.
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Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Continuous Label Distribution Learning. Pattern Recognition (PRJ), 2023, 133: 109056.
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Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia. An effective asynchronous framework for small scale reinforcement learning problems. Applied Intelligence (APIN), 2019, 49(12): 4303-4318.
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Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia. Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Applied Intelligence (APIN), 2019, 49(2): 581-591.
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Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue. A review on multi-class TWSVM. Artificial Intelligence Review, 2019, 52(2): 775-801.
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Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia. Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Applied Intelligence (APIN), 2018, 48(12): 4889-4904.
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Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue. NSCT-PCNN image fusion based on image gradient motivation. IET Computer Vision (IET-CVI), 2018, 12(4): 377-383.
Awards
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Huawei Scholarship, Southeast University Education Foundation, 2023
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Merit Graduate Student, Southeast University, 2022
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Outstanding Master's Thesis Nomination, Jiangsu Association of Artificial Intelligence, 2019
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Outstanding Graduates, China University of Mining and Technology, 2019
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Outstanding Master's Thesis, China University of Mining and Technology, 2019
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National Scholarship, Ministry of Education of the People's Republic of China, 2018
Correspondence
- Laboratory
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448, Building of Computer Science and Engineering, Southeast University.