Curriculum-Based Meta-learning. - Ji Zhang 012; Jingkuan Song; Yazhou Yao; Lianli Gao (ACM Multimedia, 2021)

Class Gradient Projection For Continual Learning. - Cheng Chen; Ji Zhang 012; Jingkuan Song; Lianli Gao (ACM Multimedia, 2022)

Free-Lunch for Cross-Domain Few-Shot Learning: Style-Aware Episodic Training with Robust Contrastive Learning. - Ji Zhang 012; Jingkuan Song; Lianli Gao; Hengtao Shen (ACM Multimedia, 2022)

Progressive Meta-Learning With Curriculum. - Ji Zhang 012; Jingkuan Song; Lianli Gao; Ye Liu; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2022)

DETA: Denoised Task Adaptation for Few-Shot Learning. - Ji Zhang 012; Lianli Gao; Xu Luo 003; Hengtao Shen; Jingkuan Song (ICCV, 2023)

A Closer Look at Few-shot Classification Again. - Xu Luo 003; Hao Wu 070; Ji Zhang 012; Lianli Gao; Jing Xu; Jingkuan Song (ICML, 2023)

From Global to Local: Multi-Scale Out-of-Distribution Detection. - Ji Zhang 012; Lianli Gao; Bingguang Hao; Hao Huang; Jingkuan Song; Hengtao Shen (IEEE Trans. Image Process., 2023)

DePT: Decoupled Prompt Tuning. - Ji Zhang 012; Shihan Wu 001; Lianli Gao; Heng Tao Shen; Jingkuan Song (CVPR, 2024)

Effective and Efficient Few-shot Fine-tuning for Vision Transformers. - Junjie Yang; Hao Wu 070; Ji Zhang 012; Lianli Gao; Jingkuan Song (ICME, 2024)

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves. - Shihan Wu 001; Ji Zhang 012; Pengpeng Zeng; Lianli Gao; Jingkuan Song; Heng Tao Shen (CVPR, 2025)

Policy Contrastive Decoding for Robotic Foundation Models. - Shihan Wu 001; Ji Zhang 012; Xu Luo 003; Junlin Xie; Jingkuan Song; Heng Tao Shen; Lianli Gao (CoRR, 2025)

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning. - Ji Zhang 012; Shihan Wu 001; Xu Luo 003; Hao Wu 070; Lianli Gao; Heng Tao Shen; Jingkuan Song (CoRR, 2025)

A Closer Look at Conditional Prompt Tuning for Vision-Language Models. - Ji Zhang 012; Shihan Wu 001; Lianli Gao; Jingkuan Song; Nicu Sebe; Heng Tao Shen (CoRR, 2025)