1.  Ying Ma, Guoqiang Zhong, Wen Liu, Yanan Wang, Peng Jiang, Rui Zhang: ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data. Cogn. Comput. 13(2): 418-430 (2021)

2.  Xin Lin, Guoqiang Zhong, Kang Chen, Qingyang Li, Kaizhu Huang: Attention-Augmented Machine Memory. Cogn. Comput. 13(3): 751-760 (2021)

3.  Qin Zhang, Guoqiang Zhong, Junyu Dong: A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency. Cogn. Comput. 13(6): 1564-1573 (2021)

4.  Zhaoyang Niu, Guoqiang Zhong, Hui Yu: A review on the attention mechanism of deep learning. Neurocomputing 452: 48-62 (2021)

5.  Yuxu Mao, Guoqiang Zhong, Yanan Wang, Zhaoyang Deng: Differentiable Light-Weight Architecture Search. ICME 2021: 1-6

6.  Xiang Liu, Wenxue Liu, Li-Na Wang, Guoqiang Zhong: Deep Architecture Compression with Automatic Clustering of Similar Neurons. PRCV (4) 2021: 361-373