Yuxin Zhang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 22

Top Topics

Convolutional Neural Network

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. CoRR (2024)
Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CoRR (2024)
Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji
Learning Image Demoiréing from Unpaired Real Data. AAAI (2024)
Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji
UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CoRR (2024)
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. ICLR (2024)
Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. CoRR (2024)
Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji
Learning Image Demoireing from Unpaired Real Data. CoRR (2024)
Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. CoRR (2024)
Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji
Spatial Re-parameterization for N: M Sparsity. CoRR (2023)
Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV (2023)
Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, Rongrong Ji
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji
Lottery Jackpots Exist in Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao
Super Vision Transformer. Int. J. Comput. Vis. 131 (12) (2023)
Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji
Bi-directional Masks for Efficient N: M Sparse Training. ICML (2023)
Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji
Real-Time Image Demoiréing on Mobile Devices. ICLR (2023)
Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks. CoRR (2023)
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N: M Sparsity. NeurIPS (2022)