Yunshan Zhong

According to our database, Yunshan Zhong authored at least 19 papers between 2019 and 2025.

Collaborative distances:

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

2025

MBQuant: A novel multi-branch topology method for arbitrary bit-width network quantization.

Yunshan Zhong, Yuyao Zhou, Fei Chao, Rongrong Ji

Pattern Recognit., 2025

2024

UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs.

Wenhao Li, Mingbao Lin, Yunshan Zhong, Shuicheng Yan, Rongrong Ji

CoRR, 2024

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers.

Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CaM: Cache Merging for Memory-efficient LLMs Inference.

Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji

Proceedings of the Forty-first International Conference on Machine Learning, 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

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization.

Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, 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

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

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks.

Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-grained Data Distribution Alignment for Post-Training Quantization.

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization.

Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Fine-grained Data Distribution Alignment for Post-Training Quantization.

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji

CoRR, 2021

2019

Re-ID Driven Localization Refinement for Person Search.

Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Re-Identification Supervised Texture Generation.

Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019