1) Xiyao Liu, Zhong Ji*, Yanwei Pang, Zhi Han. Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning. Neural Networks, vol.165, 2023: 625-633.     

2) Xiyao Liu, Zhong Ji*, Yanwei Pang, Zhi Han. Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition. Knowledge-Based Systems, vol. 265, 2023：110358.    

3) Xiyao Liu, Zhong Ji*, Yanwei Pang, Jungong Han and Xuelong Li, DGIG-Net: Dynamic Graph-in-Graph Networks for Few-Shot Human-Object Interaction, IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 7852-7864, 2022.    

4) Zhong Ji, Zhishen Hou, Xiyao Liu*, Yanwei Pang and Xuelong Li, Memorizing Complementation Network for Few-Shot Class-Incremental Learning, IEEE Transactions on Image Processing, vol. 32, pp. 937-948, 2023.    

5) Zhong Ji, Ping An, Xiyao Liu*, Changxin Gao, Yanwei Pang, and Ling Shao. Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition, in IEEE Transactions on Neural Networks and Learning Systems, Online, pp. 1-12, 2023.    

6) Zhong Ji*, Xiyao Liu*, Yanwei Pang, Wanli Ouyang and Xuelong Li, Few-Shot Human-Object Interaction Recognition with Semantic-Guided Attentive Prototypes Network, IEEE Transactions on Image Processing, vol. 30, pp. 1648-1661, 2021.    

7) Zhong Ji, Xiyao Liu, Yanwei Pang*, and Xuelong Li, SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition, in AAAI Conference on Artificial Intelligence, pp. 11085-11092, 2020.     

8) Zhong Ji, Zhishen Hou, Xiyao Liu*, and Yanwei Pang, Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning, IEEE Transactions on Image Processing, vol. 31, pp. 1520-1531, 2022.     

9) Zhong Ji, Ping An, Xiyao Liu*, Ling Shao and Zhongfei Zhang, Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition, IEEE Transaction on Systems, Man Cybernetics: Systems, vol. 52, no. 9, pp. 5443-5455, 2022.     

10) Zhong Ji, Jingwei Ni, Xiyao Liu*, and Yanwei Pang, Teachers Cooperation: Team-Knowledge Distillation for Multiple Cross-Domain Few-Shot Learning, Frontiers of Computer Science, 17(2): 172312, 2023.     

11) Yan Xu, Lifu Mu, Zhong Ji, Xiyao Liu, and Jungong Han, Meta Hyperbolic Networks for Zero-Shot Learning, Neurocomputing, vol. 491, no. 28, pp. 57-66, 2022.     

12) 安平, 冀中, 刘西瑶, 任务感知双原型网络的人物交互少样本识别. 计算机科学与探索, 15 (11): 9, 2021.

1) 面向水下机器人的小样本目标识别关键技术研究
   经费来源：中国博士后科学基金会；2024-2025，项目负责人。    

2) 域知识迁移和联合泛化的少样本图像分类方法研究
   经费来源：国家自然科学基金；2024-2026，项目负责人。    

3) 基于迁移学习的水下机器人视觉识别技术研究
   经费来源：中国博士后科学基金会；2024-2025，项目负责人。    

4) 基于类生命孪生的机器人智能学习方法
   经费来源：国家科技部；2021-2023，参与。    

5) 动态开放的视觉少样本学习关键技术研究
   经费来源：国家自然科学基金；2022-2024，参与。