| 2025 | ICML | SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. | Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han |
| 2025 | ICML | Mixture of Lookup Experts. | Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang |
| 2024 | ECAI | Convolutional Bypasses Are Better Vision Transformer Adapters. | Shibo Jie, Zhi-Hong Deng, Shixuan Chen, Zhijuan Jin |
| 2024 | ECCV | Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. | Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang |
| 2024 | ICML | Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. | Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang |
| 2023 | AAAI | FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. | Shibo Jie, Zhi-Hong Deng |
| 2023 | ICCV | Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy. | Shibo Jie, Haoqing Wang, Zhi-Hong Deng |
| 2022 | CVPR | Alleviating Representational Shift for Continual Fine-tuning. | Shibo Jie, Zhi-Hong Deng, Ziheng Li |