Yunshan Zhong

According to our database, Yunshan Zhong authored at least 29 papers between 2019 and 2026.

Collaborative distances:

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

2026

Neural Reconstruction of LiDAR Point Clouds under Jamming Attacks via Full-Waveform Representation and Simultaneous Laser Sensing.

Ryo Yoshida, Takami Sato, Wenlun Zhang, Yuki Hayakawa, Shota Nagai, Takahiro Kado, Taro Beppu, Ibuki Fujioka, Yunshan Zhong, Kentaro Yoshioka

CoRR, April, 2026

KVSlimmer: Theoretical Insights and Practical Optimizations for Asymmetric KV Merging.

Lianjun Liu, Hongli An, Weiqi Yan, Xin Du, Shengchuan Zhang, Huazhong Liu, Yunshan Zhong

CoRR, March, 2026

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

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

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Dynamic trajectory diffusion model for all-in-one image restoration.

Yimin Xu, Yunshan Zhong, Fei Chao

Expert Syst. Appl., 2026

2025

ARF: Arbitrary Routing Framework for All-in-One Image Restoration.

Yimin Xu, Nanxi Gao, Yunshan Zhong, Fei Chao, Rongrong Ji

IEEE Trans. Cybern., December, 2025

D4C: Data-free Quantization for Contrastive Language-Image Pre-training Models.

Wenlun Zhang, Yunshan Zhong, Zihao Ding, Xinyu Li, Kentaro Yoshioka

CoRR, November, 2025

Test-Time Iterative Error Correction for Efficient Diffusion Models.

Yunshan Zhong, Yanwei Qi, Yuxin Zhang

CoRR, November, 2025

Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction.

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

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

Distribution-flexible subset quantization for post-quantizing super-resolution networks.

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

Sci. China Inf. Sci., 2025

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers.

Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Wanchen Sui, Shen Li, Yong Li, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model.

Wenlun Zhang, Yunshan Zhong, Shimpei Ando, Kentaro Yoshioka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers.

Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Shen Li, Yong Li, Fei Chao, Zhanpeng Zeng, 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

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