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ORCIDZhongqi Lin
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- affiliation: China Agricultural University, Beijing, China
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2020 – today
- 2024
[j18]Zhongqi Lin
, Zengwei Zheng, Jingdun Jia, Wanlin Gao:
Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing. Expert Syst. Appl. 247: 123268 (2024)- [j17]Zhongqi Lin, Zengwei Zheng:
FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. Neural Networks 169: 398-416 (2024) - [j16]Zhongqi Lin, Linye Xu, Zengwei Zheng:
FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. Neural Networks 174: 106258 (2024) - [j15]Zhongqi Lin, Xudong Jiang, Zengwei Zheng:
A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution. Pattern Recognit. 148: 110143 (2024) - 2023
- [j14]Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang:
ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition. Eng. Appl. Artif. Intell. 120: 105937 (2023) - [j13]Zhongqi Lin, Zengwei Zheng, Jingdun Jia, Wanlin Gao, Feng Huang:
DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect. Eng. Appl. Artif. Intell. 123(Part A): 106218 (2023) - [j12]Zhongqi Lin, Yuan Wang, Zengwei Zheng, Jingdun Jia, Wanlin Gao:
IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances. Expert Syst. Appl. 226: 120247 (2023) - [j11]Zhongqi Lin, Yuan Wang, Zengwei Zheng:
CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels. Knowl. Based Syst. 280: 111062 (2023) - 2022
- [j10]Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang:
CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets. Int. J. Intell. Syst. 37(6): 3255-3296 (2022) - [j9]Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao:
Feature Correlation-Steered Capsule Network for object detection. Neural Networks 147: 25-41 (2022) - [d1]Zhongqi Lin:
Butterfly Specimens. IEEE DataPort, 2022
- 2021
- [j8]Zhongqi Lin, Jingdun Jia, Feng Huang, Wanlin Gao:
A coarse-to-fine capsule network for fine-grained image categorization. Neurocomputing 456: 200-219 (2021) - [j7]Zhongqi Lin, Wanlin Gao, Jingdun Jia, Feng Huang:
CapsNet meets SIFT: A robust framework for distorted target categorization. Neurocomputing 464: 290-316 (2021) - [j6]Zhongqi Lin, Wanlin Gao, Feng Huang, Jingdun Jia:
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization. Knowl. Based Syst. 232: 107480 (2021) - 2020
- [j5]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections. Neurocomputing 384: 295-313 (2020) - [j4]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images. Neurocomputing 415: 266-285 (2020) - [j3]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds. J. Intell. Fuzzy Syst. 38(3): 3463-3487 (2020)
2010 – 2019
- 2019
- [j2]Zhongqi Lin, Shaomin Mu, Feng Huang, Khattak Abdul Mateen, Minjuan Wang, Wanlin Gao, Jingdun Jia:
A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases. IEEE Access 7: 11570-11590 (2019) - [j1]Zhongqi Lin, Jingdun Jia, Wanlin Gao, Feng Huang:
Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens. IEEE Access 7: 123367-123392 (2019)
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