Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data. - Yu-Ming Tang; Yi-Xing Peng; Wei-Shi Zheng 001 (CVPR, 2022)

When Prompt-based Incremental Learning Does Not Meet Strong Pretraining. - Yu-Ming Tang; Yi-Xing Peng; Wei-Shi Zheng 001 (ICCV, 2023)

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition. - Jiayu Jiao; Yu-Ming Tang; Kun-Yu Lin; Yipeng Gao; Jinhua Ma; Yaowei Wang 001; Wei-Shi Zheng 001 (CoRR, 2023)

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition. - Jiayu Jiao; Yu-Ming Tang; Kun-Yu Lin; Yipeng Gao; Andy J. Ma; Yaowei Wang 001; Wei-Shi Zheng 001 (IEEE Trans. Multim., 2023)

Rethinking Few-Shot Class-Incremental Learning: Learning from Yourself. - Yu-Ming Tang; Yi-Xing Peng; Jingke Meng; Wei-Shi Zheng 001 (ECCV (61), 2024)

TechCoach: Towards Technical Keypoint-Aware Descriptive Action Coaching. - Yuan-Ming Li; An-Lan Wang; Kun-Yu Lin; Yu-Ming Tang; Ling-An Zeng; Jian-Fang Hu; Wei-Shi Zheng 001 (CoRR, 2024)

Generalized Intra-Camera Supervised Person Re-Identification. - Yi-Xing Peng; Yu-Ming Tang; Kun-Yu Lin; Wei-Shi Zheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning. - Shengbo Gu; Yu-Kun Qiu; Yu-Ming Tang; Ancong Wu; Wei-Shi Zheng 001 (CoRR, 2025)