1.  Tao Li, Wencong Jiao, Li-Na Wang, Guoqiang Zhong: Automatic DenseNet Sparsification. IEEE Access 8: 62561-62571 (2020)

2.  Ying Ma, Guoqiang Zhong, Wen Liu, Jinxuan Sun, Kaizhu Huang: Neural CAPTCHA networks. Appl. Soft Comput. 97(Part): 106769 (2020)

3.  Guoqiang Zhong, Wencong Jiao, Wei Gao, Kaizhu Huang: Automatic Design of Deep Networks with Neural Blocks. Cogn. Comput. 12(1): 1-12 (2020)

4.  Guoqiang Zhong, Wenxue Liu, Hui Yao, Tao Li, Jinxuan Sun, Xiang Liu: Merging Similar Neurons for Deep Networks Compression. Cogn. Comput. 12(3): 577-588 (2020)

5.  Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu: DNA computing inspired deep networks design. Neurocomputing 382: 140-147 (2020)

6.  Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang: Generative adversarial networks with mixture of t-distributions noise for diverse image generation. Neural Networks 122: 374-381 (2020)

7.  Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang, Da-Han Wang, Kaizhu Huang: Generative adversarial networks with decoder-encoder output noises. Neural Networks 127: 19-28 (2020)

8.  Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang: Compressing Deep Networks by Neuron Agglomerative Clustering. Sensors 20(21): 6033 (2020)

9.  Zhenlin Fan, Guoqiang Zhong, Haitao Li: A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection. ICONIP (1) 2020: 51-61

10.  Qingyang Li, Zhenlin Fan, Guoqiang Zhong: BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection. ICONIP (4) 2020: 312-319

11.  Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang: Feature Redirection Network for Few-Shot Classification. ICONIP (4) 2020: 418-425

12.  Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang: MCRN: A New Content-Based Music Classification and Recommendation Network. ICONIP (4) 2020: 771-779

13.  Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li: EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. IJCNN 2020: 1-7

14.  Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu: MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. IJCNN 2020: 1-7

15.  Jinxuan Sun, Yang Chen, Junyu Dong, Guoqiang Zhong: Progressively Unfreezing Perceptual GAN. CoRR abs/2006.10250 (2020)

16.  JGuoqiang Zhong, Kang Zhang, Hongxu Wei, Yuchen Zheng, Junyu Dong: Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models. IEEE Access 7: 30220-30233 (2019)

17.  Xiang Liu, Li-Na Wang, Wenxue Liu, Guoqiang Zhong: Incremental Layers Resection: A Novel Method to Compress Neural Networks. IEEE Access 7: 172167-172177 (2019)

18.  Guoqiang Zhong, Xiao Ling, Li-Na Wang: From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures. WIREs Data Mining Knowl. Discov. 9(1) (2019)

19.  Guoqiang Zhong, Guohua Yue: Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition. ACPR (1) 2019: 793-806

20.  Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang: Long Short-Term Attention. BICS 2019: 45-54

21.  Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong: Recovering Super-Resolution Generative Adversarial Network for Underwater Images. ICONIP (4) 2019: 75-83

22.  Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang: AutoML for DenseNet Compression. ICONIP (3) 2019: 151-161

23.  Guoqiang Zhong, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia: Learnable Gabor Convolutional Networks. ICONIP (4) 2019: 305-313

24.  Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang: Enhanced LSTM with Batch Normalization. ICONIP (1) 2019: 746-755

25.  Qingyang Li, Guoqiang Zhong, Cui Xie: Weak Edge Identification Nets for Ocean Front Detection. CoRR abs/1909.07827 (2019)

26.  Zhenlin Fan, Guoqiang Zhong: SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data. CoRR abs/1909.13411 (2019)

27.  Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong: Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification. Cogn. Comput. 10(1): 179-186 (2018)

28.  Xiaopeng Liu, Guoqiang Zhong, Junyu Dong: Natural image illuminant estimation via deep non-negative matrix factorisation. IET Image Process. 12(1): 121-125 (2018)

29.  Qin Zhang, Guoqiang Zhong, Junyu Dong: An anchor-based spectral clustering method. Frontiers Inf. Technol. Electron. Eng. 19(11): 1385-1396 (2018)

30.  Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang, Junyu Dong: Banzhaf random forests: Cooperative game theory based random forests with consistency. Neural Networks 106: 20-29 (2018)

31. Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu: SLMOML: Online Metric Learning With Global Convergence. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2460-2472 (2018)