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Jiaqi Bao
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2020 – today
- 2024
- [j7]Jiaqi Bao, Mineichi Kudo
, Keigo Kimura
Redirected transfer learning for robust multi-layer subspace learning. Pattern Anal. Appl. 27(1): 25 (2024) - [j6]Jiaqi Bao, Mineichi Kudo
Robust embedding regression for semi-supervised learning. Pattern Recognit. 145: 109894 (2024) - 2023
- [j5]Jieqiang Zhu, Jiaqi Bao, Yi Tao:
A Nondestructive Methodology for Determining Chemical Composition of Salvia miltiorrhiza via Hyperspectral Imaging Analysis and Squeeze-and-Excitation Residual Networks. Sensors 23(23): 9345 (2023) - [c4]Guoqiang Zhao, Xiaoyun Yan, Aodie Cui, Chang Hu, Jiaqi Bao, Junjie Huang:
TSTR: A Real-Time RGB-Thermal Semantic Segmentation Model with Multimodal Fusion Transformers. MSN 2023: 588-595 - 2022
- [j4]Jiaqi Bao, Ningyuan Yao:
Definably topological dynamics of p-adic algebraic groups. Ann. Pure Appl. Log. 173(4): 103077 (2022) - [c3]Keigo Kimura
Retargeted Regression Methods for Multi-label Learning. S+SSPR 2022: 203-212 - 2021
- [j3]Jiaqi Bao, Lin Luo, Yu Zhang, Kai Yang, Chaoyong Peng, Jianping Peng, Ran Li:
Half quadratic splitting method combined with convolution neural network for blind image deblurring. Multim. Tools Appl. 80(3): 3489-3504 (2021) - [j2]Jiaqi Bao, Zhihui Lai, Xuechen Li:
Relaxed local preserving regression for image feature extraction. Multim. Tools Appl. 80(3): 3729-3748 (2021) - 2020
- [j1]Zhihui Lai, Jiaqi Bao, Heng Kong, Minghua Wan, Guowei Yang:
Discriminative low-rank projection for robust subspace learning. Int. J. Mach. Learn. Cybern. 11(10): 2247-2260 (2020) - [c2]Jiaqi Bao, Bechir Hamdaoui, Weng-Keen Wong:
IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. IWCMC 2020: 565-570
2010 – 2019
- 2019
- [c1]Jiaqi Bao, Jianglin Lu, Zhihui Lai, Ning Liu, Yuwu Lu:
Robust Embedding Regression for Face Recognition. PRCV (2) 2019: 102-113
Coauthor Index
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