A Hierarchical Framwork with Improved Loss for Large-scale Multi-modal Video Identification. - Shichuan Zhang; Zengming Tang; Hao Pan; Xinyu Wei; Jun Huang 009 (ACM Multimedia, 2019)

Branch Interaction Network for Person Re-identification. - Zengming Tang; Jun Huang 009 (ACCV (3), 2020)

Cutmix Dual Branch Network for Person Re-Identification. - Zengming Tang; Jun Huang 009 (ICME, 2021)

3D Human Pose Estimation With Spatial Structure Information. - Xiaoshan Huang; Jun Huang 009; Zengming Tang (IEEE Access, 2021)

DRFormer: Learning dual relations using Transformer for pedestrian attribute recognition. - Zengming Tang; Jun Huang 009 (Neurocomputing, 2022)

Harmonious Multi-branch Network for Person Re-identification with Harder Triplet Loss. - Zengming Tang; Jun Huang 009 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning. - Shuzhen Rao; Jun Huang 009; Zengming Tang (CoRR, 2023)

PUMGPT: A Large Vision-Language Model for Product Understanding. - Shuhui Wu; Zengming Tang; Zongyi Guo; Weiwei Zhang; Baoliang Cui; Haihong Tang; Weiming Lu 001 (CoRR, 2023)

Adaptive Regularized Warped Gradient Descent Enhances Model Generalization and Meta-learning for Few-shot Learning. - Shuzhen Rao; Jun Huang 009; Zengming Tang (Neurocomputing, 2023)

RDProtoFusion: Refined discriminative prototype-based multi-task fusion for cross-domain few-shot learning. - Shuzhen Rao; Jun Huang 009; Zengming Tang (Neurocomputing, 2024)

Hierarchical global to local calibration for query-focused few-shot node classification. - Shuzhen Rao; Jun Huang 009; Zengming Tang (Inf. Fusion, 2025)