Yuxin Zhang

According to our database, Yuxin Zhang authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji

CoRR, 2024

Learning Image Demoiréing from Unpaired Real Data.

Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lottery Jackpots Exist in Pre-Trained Models.

Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Super Vision Transformer.

Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao

Int. J. Comput. Vis., December, 2023

Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters.

Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Carrying Out CNN Channel Pruning in a White Box.

Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji

IEEE Trans. Neural Networks Learn. Syst., October, 2023

1xN Pattern for Pruning Convolutional Neural Networks.

Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study.

Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, Rongrong Ji

CoRR, 2023

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs.

Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji

CoRR, 2023

Spatial Re-parameterization for N: M Sparsity.

Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji

CoRR, 2023

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization.

Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji

CoRR, 2023

Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks.

Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji

CoRR, 2023

Bi-directional Masks for Efficient N: M Sparse Training.

Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji

Proceedings of the International Conference on Machine Learning, 2023

Real-Time Image Demoiréing on Mobile Devices.

Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SMMix: Self-Motivated Image Mixing for Vision Transformers.

Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Shadow Removal by High-Quality Shadow Synthesis.

Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji

CoRR, 2022

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training.

Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji

CoRR, 2022

Super Vision Transformer.

Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji

CoRR, 2022

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need.

Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji

CoRR, 2022

Learning Best Combination for Efficient N: M Sparsity.

Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

1×N Block Pattern for Network Sparsity.

Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

CoRR, 2021

Carrying out CNN Channel Pruning in a White Box.

Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

CoRR, 2021

Lottery Jackpots Exist in Pre-trained Models.

Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji

CoRR, 2021

2020

Channel Pruning via Automatic Structure Search.

Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020