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ORCIDXingyu Zhao 0002
Person information
- affiliation: Southeast University, Nanjing, China
- affiliation (former): China University of Mining and Technology, Xuzhou, China
- unicode name: 赵星宇
Other persons with the same name
- Xingyu Zhao — disambiguation page
- Xingyu Zhao 0001
![[0000-0002-3474-349X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3474-349X")
— University of Liverpool, UK (and 2 more) - Xingyu Zhao 0003 — Fudan University, Shanghai, China
- Xingyu Zhao 0004 — Tianjin University, Tianjin, China
- Xingyu Zhao 0005 — University of Southern California, Los Angeles, CA, USA
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2020 – today
- 2024
[j12]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2716-2729 (2024)- 2023
- [j11]Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang:
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9757-9773 (2023) - [j10]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Continuous label distribution learning. Pattern Recognit. 133: 109056 (2023) - [c5]Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng:
Imbalanced Label Distribution Learning. AAAI 2023: 11336-11344 - [c4]Yuexuan An, Xingyu Zhao, Hui Xue:
Learning to Learn from Corrupted Data for Few-Shot Learning. IJCAI 2023: 3423-3431 - [c3]Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng:
Generalizable Label Distribution Learning. ACM Multimedia 2023: 8932-8941 - [i1]Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng:
Scalable Label Distribution Learning for Multi-Label Classification. CoRR abs/2311.16556 (2023) - 2022
- [c2]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Fusion Label Enhancement for Multi-Label Learning. IJCAI 2022: 3773-3779 - 2021
- [c1]Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang:
Conditional Self-Supervised Learning for Few-Shot Classification. IJCAI 2021: 2140-2146 - 2020
- [j9]Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao:
Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. 32(7): 2815-2827 (2020)
2010 – 2019
- 2019
- [j8]Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue:
A review on multi-class TWSVM. Artif. Intell. Rev. 52(2): 775-801 (2019) - [j7]Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia:
Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Appl. Intell. 49(2): 581-591 (2019) - [j6]Shifei Ding, Wei Du, Xingyu Zhao, Lijuan Wang, Weikuan Jia:
A new asynchronous reinforcement learning algorithm based on improved parallel PSO. Appl. Intell. 49(12): 4211-4222 (2019) - [j5]Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia:
An effective asynchronous framework for small scale reinforcement learning problems. Appl. Intell. 49(12): 4303-4318 (2019) - [j4]Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue:
BEMD image fusion based on PCNN and compressed sensing. Soft Comput. 23(20): 10045-10054 (2019) - 2018
- [j3]Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia:
Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Appl. Intell. 48(12): 4889-4904 (2018) - [j2]Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue:
NSCT-PCNN image fusion based on image gradient motivation. IET Comput. Vis. 12(4): 377-383 (2018) - [j1]Xingyu Zhao, Shifei Ding:
深度强化学习研究综述 (Research on Deep Reinforcement Learning). 计算机科学 45(7): 1-6 (2018)
Coauthor Index
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