Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (IEEE Access, 2019)

A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases. - Zhongqi Lin; Shaomin Mu; Feng Huang 005; Khattak Abdul Mateen; Minjuan Wang; Wanlin Gao; Jingdun Jia (IEEE Access, 2019)

Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Neurocomputing, 2020)

A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Neurocomputing, 2020)

A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds. - Zhongqi Lin; Jingdun Jia; Wanlin Gao; Feng Huang 005 (J. Intell. Fuzzy Syst., 2020)

CapsNet meets SIFT: A robust framework for distorted target categorization. - Zhongqi Lin; Wanlin Gao; Jingdun Jia; Feng Huang 005 (Neurocomputing, 2021)

A coarse-to-fine capsule network for fine-grained image categorization. - Zhongqi Lin; Jingdun Jia; Feng Huang 005; Wanlin Gao (Neurocomputing, 2021)

Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization. - Zhongqi Lin; Wanlin Gao; Feng Huang 005; Jingdun Jia (Knowl. Based Syst., 2021)

CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets. - Zhongqi Lin; Wanlin Gao; Jingdun Jia; Feng Huang 005 (Int. J. Intell. Syst., 2022)

Feature Correlation-Steered Capsule Network for object detection. - Zhongqi Lin; Jingdun Jia; Feng Huang 005; Wanlin Gao (Neural Networks, 2022)

Butterfly Specimens. - Zhongqi Lin (IEEE DataPort, 2022)

DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect. - Zhongqi Lin; Zengwei Zheng; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Eng. Appl. Artif. Intell., 2023)

ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition. - Zhongqi Lin; Zengwei Zheng; Jingdun Jia; Wanlin Gao; Feng Huang 005 (Eng. Appl. Artif. Intell., 2023)

IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances. - Zhongqi Lin; Yuan Wang; Zengwei Zheng; Jingdun Jia; Wanlin Gao (Expert Syst. Appl., 2023)

CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels. - Zhongqi Lin; Yuan Wang; Zengwei Zheng (Knowl. Based Syst., 2023)

Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing. - Zhongqi Lin; Zengwei Zheng; Jingdun Jia; Wanlin Gao (Expert Syst. Appl., 2024)

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. - Zhongqi Lin; Linye Xu; Zengwei Zheng (Neural Networks, 2024)

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. - Zhongqi Lin; Zengwei Zheng (Neural Networks, 2024)

A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution. - Zhongqi Lin; Xudong Jiang 001; Zengwei Zheng (Pattern Recognit., 2024)

DMSPN: A distortion-mitigated network for part-level pattern parsing of underwater squids. - Zhongqi Lin; Wanlin Gao; Jingdun Jia; Shenfei Pei; Kui Su; Zengwei Zheng (Comput. Electron. Agric., 2025)

Line-of-Sight Depth Attention for Panoptic Parsing of Distant Small-Faint Instances. - Zhongqi Lin; Xudong Jiang 001; Zengwei Zheng (IEEE Trans. Image Process., 2025)