1.  Li-Na Wang, Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet: Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence.
     Algorithms 16(11): 522 (2023).

2.  Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong: Deep Error-Correcting Output Codes. Algorithms 16(12): 555 (2023)

3.  Ke Xu, Guoqiang Zhong, Zhaoyang Deng, Kang Zhang, Kaizhu Huang: Self-supervised generative learning for sequential data prediction. Appl. Intell.
      53(18): 20675-20689 (2023)

4.  Shu Li, Yuxu Mao, Fuchang Zhang, Dong Wang, Guoqiang Zhong: DLW-NAS: Differentiable Light-Weight Neural Architecture Search. Cogn. Comput. 15(2):
     429-439 (2023)

5.  Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong: Recurrent attention unit: A new gated recurrent unit for
     long-term memory of important parts in sequential data. Neurocomputing 517: 1-9 (2023)

6.  Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Leon Bevan Bullock, Zhiwei Xu, Junyu Dong: Lightweight network learning with Zero-Shot Neural
      Architecture Search for UAV images. Knowl. Based Syst. 260: 110142 (2023)

7.  Jing Zhu, Qingyang Li, Cui Xie, Guoqiang Zhong: Ocean Front Detection With Bi-Directional Progressive Fusion Attention Network. IEEE Geosci. Remote.
      Sens. Lett. 20: 1-5 (2023)

8.  Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu: Quantum recurrent neural networks for sequential learning. Neural
      Networks 166: 148-161 (2023)

9.  Shuo Yin, Guoqiang Zhong: LGI-GT: Graph Transformers with Local and Global Operators Interleaving. IJCAI 2023: 4504-4512

10.  Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu: Quantum Recurrent
     Neural Networks for Sequential Learning. CoRR abs/2302.03244 (2023)