Yuxin Zhang - RankMe

66 papers A* 19Journal 46Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs. AAAI Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo
2026	J	`jnl`	KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs. CoRR Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo
2026	J	`jnl`	ObjectAdd: Adding objects into image via a training-free diffusion modification fashion. Pattern Recognit. Ziyue Zhang, Mingbao Lin, Quanjian Song, Yuxin Zhang, Rongrong Ji
2026	J	`jnl`	Out of the Memory Barrier: A Highly Memory Efficient Training System for LLMs with Million-Token Contexts. CoRR Wenhao Li, Daohai Yu, Gen Luo, Yuxin Zhang, Fei Chao, Rongrong Ji, Yifan Wu, Jiaxin Liu, Ziyang Gong, Zimu Liao
2026	J	`jnl`	Towards Parameter-Efficient Network Pruning with Re-Parameterized Adapter. Int. J. Comput. Vis. Gen Luo, Yuxin Zhang, Yiyi Zhou, Minglang Huang, Xiaoshuai Sun, Rongrong Ji
2025	A*	`conf`	BAME: Block-Aware Mask Evolution for Efficient N: M Sparse Training. ICML Chenyi Yang, Wenjie Nie, Yuxin Zhang, Yuhang Wu, Xiawu Zheng, Guannan Jiang, Rongrong Ji
2025	J	`jnl`	DS CoRR Zhaohong Huang, Yuxin Zhang, Taojian Zhou, Guorong Cai, Rongrong Ji
2025	A*	`conf`	Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. ICML Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji
2025	J	`jnl`	Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. CoRR Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji
2025	J	`jnl`	Distribution-flexible subset quantization for post-quantizing super-resolution networks. Sci. China Inf. Sci. Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji
2025	A*	`conf`	Dynamic Low-Rank Sparse Adaptation for Large Language Models. ICLR Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji
2025	J	`jnl`	Dynamic Low-Rank Sparse Adaptation for Large Language Models. CoRR Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji
2025	A*	`conf`	Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. ICLR Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
2025	A*	`conf`	GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models. ICML Zhaohong Huang, Yuxin Zhang, Jingjing Xie, Fei Chao, Rongrong Ji
2025	J	`jnl`	GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models. CoRR Zhaohong Huang, Yuxin Zhang, Jingjing Xie, Fei Chao, Rongrong Ji
2025	J	`jnl`	Spatial Re-Parameterization for N:M Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. Yuxin Zhang, Mingbao Lin, Mingliang Xu, Yonghong Tian, Rongrong Ji
2025	J	`jnl`	Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval. CoRR Wenhao Li, Yuxin Zhang, Gen Luo, Haiyuan Wan, Ziyang Gong, Fei Chao, Rongrong Ji
2025	A*	`conf`	TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning. AAAI Jingjing Xie, Yuxin Zhang, Jun Peng, Zhaohong Huang, Liujuan Cao
2025	J	`jnl`	Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction. IEEE Trans. Pattern Anal. Mach. Intell. Yunshan Zhong, You Huang, Jiawei Hu, Yuxin Zhang, Rongrong Ji
2025	J	`jnl`	Towards Efficient Automatic Self-Pruning of Large Language Models. CoRR Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji
2025	—	`conf`	Training Long-Context LLMs Efficiently via Chunk-wise Optimization. ACL (Findings) Wenhao Li, Yuxin Zhang, Gen Luo, Daohai Yu, Rongrong Ji
2025	J	`jnl`	Training Long-Context LLMs Efficiently via Chunk-wise Optimization. CoRR Wenhao Li, Yuxin Zhang, Gen Luo, Daohai Yu, Rongrong Ji
2024	A*	`conf`	Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. ACM Multimedia Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji
2024	J	`jnl`	Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. CoRR Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji
2024	A*	`conf`	CaM: Cache Merging for Memory-efficient LLMs Inference. ICML Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji
2024	A*	`conf`	DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CVPR Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
2024	J	`jnl`	DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CoRR Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
2024	J	`jnl`	Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. CoRR Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji
2024	A*	`conf`	Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. ICLR Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
2024	A*	`conf`	ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. ICML Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji
2024	J	`jnl`	ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. CoRR Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji
2024	J	`jnl`	Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. CoRR Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
2024	J	`jnl`	Learning Image Demoireing from Unpaired Real Data. CoRR Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji
2024	A*	`conf`	Learning Image Demoiréing from Unpaired Real Data. AAAI Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji
2024	J	`jnl`	Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers. CoRR Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Shen Li, Yong Li, Fei Chao, Zhanpeng Zeng, Rongrong Ji
2024	J	`jnl`	TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning. CoRR Jingjing Xie, Yuxin Zhang, Jun Peng, Zhaohong Huang, Liujuan Cao
2024	A*	`conf`	UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CVPR Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji
2024	J	`jnl`	UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CoRR Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji
2023	J	`jnl`	1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
2023	A*	`conf`	Bi-directional Masks for Efficient N: M Sparse Training. ICML Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji
2023	J	`jnl`	Bi-directional Masks for Efficient N: M Sparse Training. CoRR Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji
2023	J	`jnl`	Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study. CoRR Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, Rongrong Ji
2023	J	`jnl`	Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
2023	J	`jnl`	Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks. CoRR Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji
2023	J	`jnl`	Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. CoRR Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
2023	J	`jnl`	Lottery Jackpots Exist in Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji
2023	J	`jnl`	MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. CoRR Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji
2023	J	`jnl`	Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji
2023	J	`jnl`	Real-Time Image Demoireing on Mobile Devices. CoRR Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji
2023	A*	`conf`	Real-Time Image Demoiréing on Mobile Devices. ICLR Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji
2023	A*	`conf`	SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
2023	J	`jnl`	Spatial Re-parameterization for N: M Sparsity. CoRR Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji
2023	J	`jnl`	Super Vision Transformer. Int. J. Comput. Vis. Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao
2022	J	`jnl`	Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. CoRR Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji
2022	A*	`conf`	Learning Best Combination for Efficient N: M Sparsity. NeurIPS Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	Learning Best Combination for Efficient N: M Sparsity. CoRR Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji
2022	J	`jnl`	SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
2022	J	`jnl`	Shadow Removal by High-Quality Shadow Synthesis. CoRR Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji
2022	J	`jnl`	Super Vision Transformer. CoRR Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji
2021	J	`jnl`	1×N Block Pattern for Network Sparsity. CoRR Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
2021	J	`jnl`	Carrying out CNN Channel Pruning in a White Box. CoRR Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
2021	J	`jnl`	Lottery Jackpots Exist in Pre-trained Models. CoRR Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji
2020	A*	`conf`	Channel Pruning via Automatic Structure Search. IJCAI Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
2020	J	`jnl`	Channel Pruning via Automatic Structure Search. CoRR Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian