SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition. - Zhong Ji; Xiyao Liu 002; Yanwei Pang; Xuelong Li 001 (AAAI, 2020)

Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition. - Xiyao Liu 002; Zhong Ji; Yanwei Pang; Zhongfei Zhang (CoRR, 2021)

Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network. - Zhong Ji; Xiyao Liu 002; Yanwei Pang; Wangli Ouyang; Xuelong Li 001 (IEEE Trans. Image Process., 2021)

Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning. - Zhong Ji; Jingwei Ni; Xiyao Liu 002; Yanwei Pang (Frontiers Comput. Sci., 2022)

Meta hyperbolic networks for zero-shot learning. - Yan Xu; Lifu Mu; Zhong Ji; Xiyao Liu 002; Jungong Han (Neurocomputing, 2022)

DGIG-Net: Dynamic Graph-in-Graph Networks for Few-Shot Human-Object Interaction. - Xiyao Liu 002; Zhong Ji; Yanwei Pang; Jungong Han; Xuelong Li 001 (IEEE Trans. Cybern., 2022)

Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning. - Zhong Ji; Zhishen Hou; Xiyao Liu 002; Yanwei Pang; Jungong Han (IEEE Trans. Image Process., 2022)

Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition. - Zhong Ji; Ping An; Xiyao Liu 002; Yanwei Pang; Ling Shao 001; Zhongfei Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Memorizing Complementation Network for Few-Shot Class-Incremental Learning. - Zhong Ji; Zhishen Hou; Xiyao Liu 002; Yanwei Pang; Xuelong Li 001 (IEEE Trans. Image Process., 2023)

Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition. - Xiyao Liu 002; Zhong Ji; Yanwei Pang; Zhi Han (Knowl. Based Syst., 2023)

Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning. - Xiyao Liu 002; Zhong Ji; Yanwei Pang; Zhi Han (Neural Networks, 2023)

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection. - Yajing Liu; Shijun Zhou; Xiyao Liu 002; Chunhui Hao; Baojie Fan; Jiandong Tian (CVPR, 2024)

On the Approximation Risk of Few-Shot Class-Incremental Learning. - Xuan Wang 016; Zhong Ji; Xiyao Liu 002; Yanwei Pang; Jungong Han (ECCV (51), 2024)

Relevance equilibrium network for cross-domain few-shot learning. - Zhong Ji; Xiangyu Kong; Xuan Wang 016; Xiyao Liu 002 (Int. J. Multim. Inf. Retr., 2024)

Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition. - Zhong Ji; Ping An; Xiyao Liu 002; Changxin Gao; Yanwei Pang; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Label smoothing regularization-based no hyperparameter domain generalization. - Yanmei Wang; Xin Wu; Xiyao Liu 002; Fupeng Chu; Huan Liu; Zhi Han (Knowl. Based Syst., 2025)

DUAL-GDFQ: A Dual-Generator, Dual-Phase Learning Approach for Data-Free Quantization. - Sihan Wang; Zhi Han; Xiyao Liu 002 (IEEE Signal Process. Lett., 2025)

Frequency-Spatial Complementation: Unified Channel-Specific Style Attack for Cross-Domain Few-Shot Learning. - Zhong Ji; Zhilong Wang; Xiyao Liu 002; Yunlong Yu; Yanwei Pang; Jungong Han (IEEE Trans. Image Process., 2025)

Concept agent network for zero-base generalized few-shot learning. - Xuan Wang 016; Zhong Ji; Xiyao Liu 002; Yanwei Pang; Xuelong Li 001 (Appl. Intell., 2025)

Vision and Language Integration for Domain Generalization. - Yanmei Wang; Xiyao Liu 002; Fupeng Chu; Zhi Han (CoRR, 2025)