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Rui-Qi Wang
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2020 – today
- 2023
- [j5]Rui-Qi Wang, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Training with scaled logits to alleviate class-level over-fitting in few-shot learning. Neurocomputing 522: 142-151 (2023) - [j4]Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu:
Learning by Seeing More Classes. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7477-7493 (2023) - 2022
- [j3]Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6990-6996 (2022) - 2021
- [j2]Rui-Qi Wang, Liming Ling, Delu Zeng, Bao-Feng Feng:
A deep learning improved numerical method for the simulation of rogue waves of nonlinear Schrödinger equation. Commun. Nonlinear Sci. Numer. Simul. 101: 105896 (2021) - [c3]Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
GSS: Graph-Based Subspace Learning with Shots Initialization for few-shot Recognition. ICME 2021: 1-6 - [c2]Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Class Forge: Boosting Feature Encoder for Few-Shot Learning with Synthesized Classes. ICME 2021: 1-6
2010 – 2019
- 2019
- [c1]Miao Zhao, Rui-Qi Wang, Fei Yin, Xu-Yao Zhang, Lin-Lin Huang, Jean-Marc Ogier:
Fast Text/non-Text Image Classification with Knowledge Distillation. ICDAR 2019: 1458-1463 - 2018
- [j1]Guo-Shuai Liu, Rui-Qi Wang, Fei Yin, Jean-Marc Ogier, Cheng-Lin Liu:
Fast genre classification of web images using global and local features. CAAI Trans. Intell. Technol. 3(3): 161-168 (2018)
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