Shibo Jie - RankMe

20 papers A* 6A 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Mixture of Lookup Experts. ICML Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang
2025	J	`jnl`	Mixture of Lookup Experts. CoRR Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang
2025	A*	`conf`	SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. ICML Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han
2025	J	`jnl`	SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. CoRR Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han
2025	J	`jnl`	Video Generation Models Are Good Latent Reward Models. CoRR Xiaoyue Mi, Wenqing Yu, Jiesong Lian, Shibo Jie, Ruizhe Zhong, Zijun Liu, Guozhen Zhang, Zixiang Zhou, Zhiyong Xu, Yuan Zhou, Qinglin Lu, Fan Tang
2024	A	`conf`	Convolutional Bypasses Are Better Vision Transformer Adapters. ECAI Shibo Jie, Zhi-Hong Deng, Shixuan Chen, Zhijuan Jin
2024	A*	`conf`	Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. ICML Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	J	`jnl`	Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	—	`conf`	Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. ECCV (16) Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	J	`jnl`	Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning. CoRR Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang
2023	J	`jnl`	Detachedly Learn a Classifier for Class-Incremental Learning. CoRR Ziheng Li, Shibo Jie, Zhi-Hong Deng
2023	A*	`conf`	FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. AAAI Shibo Jie, Zhi-Hong Deng
2023	A*	`conf`	Focus Your Attention when Few-Shot Classification. NeurIPS Haoqing Wang, Shibo Jie, Zhihong Deng
2023	A*	`conf`	Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy. ICCV Shibo Jie, Haoqing Wang, Zhi-Hong Deng
2023	J	`jnl`	Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy. CoRR Shibo Jie, Haoqing Wang, Zhi-Hong Deng
2022	—	`conf`	Alleviating Representational Shift for Continual Fine-tuning. CVPR Workshops Shibo Jie, Zhi-Hong Deng, Ziheng Li
2022	J	`jnl`	Alleviating Representational Shift for Continual Fine-tuning. CoRR Shibo Jie, Zhi-Hong Deng, Ziheng Li
2022	J	`jnl`	Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework. CoRR Gehui Shen, Shibo Jie, Ziheng Li, Zhi-Hong Deng
2022	J	`jnl`	Convolutional Bypasses Are Better Vision Transformer Adapters. CoRR Shibo Jie, Zhi-Hong Deng
2022	J	`jnl`	FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. CoRR Shibo Jie, Zhi-Hong Deng