Yunshan Zhong

33 papers A* 7Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
I&S-ViT: An Inclusive & Stable Method for Post-Training ViTs Quantization.
IEEE Trans. Pattern Anal. Mach. Intell.
Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji
2026 J jnl
KVSlimmer: Theoretical Insights and Practical Optimizations for Asymmetric KV Merging.
CoRR
Lianjun Liu, Hongli An, Weiqi Yan, Xin Du, Shengchuan Zhang, Huazhong Liu, Yunshan Zhong
2025 J jnl
ARF: Arbitrary Routing Framework for All-in-One Image Restoration.
IEEE Trans. Cybern.
Yimin Xu, Nanxi Gao, Yunshan Zhong, Fei Chao, Rongrong Ji
2025 J jnl
D4C: Data-free Quantization for Contrastive Language-Image Pre-training Models.
CoRR
Wenlun Zhang, Yunshan Zhong, Zihao Ding, Xinyu Li, Kentaro Yoshioka
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 J jnl
MBQuant: A novel multi-branch topology method for arbitrary bit-width network quantization.
Pattern Recognit.
Yunshan Zhong, Yuyao Zhou, Fei Chao, Rongrong Ji
2025 J jnl
Test-Time Iterative Error Correction for Efficient Diffusion Models.
CoRR
Yunshan Zhong, Yanwei Qi, Yuxin Zhang
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
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
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
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
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
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
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization.
CoRR
Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, 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
Spatial Re-parameterization for N: M Sparsity.
CoRR
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji
2022 — conf
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks.
ECCV (18)
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
2022 J jnl
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks.
CoRR
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
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 — conf
Fine-grained Data Distribution Alignment for Post-Training Quantization.
ECCV (11)
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
2022 A* conf
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization.
CVPR
Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, 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
2021 J jnl
Fine-grained Data Distribution Alignment for Post-Training Quantization.
CoRR
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji
2021 J jnl
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization.
CoRR
Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
2019 A* conf
Re-ID Driven Localization Refinement for Person Search.
ICCV
Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang
2019 J jnl
Re-ID Driven Localization Refinement for Person Search.
CoRR
Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang
2019 A* conf
Re-Identification Supervised Texture Generation.
CVPR
Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei
2019 J jnl
Re-Identification Supervised Texture Generation.
CoRR
Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei