Publications

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D4C: Data-Free Quantization for Contrastive Language-Image Pre-training Models, CVPR 2026 (Findings), CCF-A. Authors: Wenlun Zhang, Yunshan Zhong†, Zihao Ding, Xinyu Li, Kentaro Yoshioka.
Test-Time Iterative Error Correction for Efficient Diffusion Models, ICLR 2026, CCF-A. Authors: Yunshan Zhong, Weiqi Yan, Yuxin Zhang.

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization, IEEE TPAMI, CCF-A. Authors: Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji†.
Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction, IEEE TPAMI, CCF-A. Authors: Yunshan Zhong, You Huang, Jiawei Hu, Yuxin Zhang, Rongrong Ji†.
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks, SCIENCE CHINA Information Sciences (SCIS), CCF-A. Authors: Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji†.
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model, ICCV 2025, CCF-A. Authors: Wenlun Zhang, Yunshan Zhong†, Shimpei Ando, Kentaro Yoshioka.
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers, ICCV 2025, CCF-A. Authors: Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Wanchen Sui, Shen Li, Yong Li, Fei Chao, Rongrong Ji†.
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization, Pattern Recognition (PR), CCF-B. Authors: Yunshan Zhong, Yuyao Zhou, Fei Chao, Rongrong Ji†.
ARF: Arbitrary Routing Framework for All-in-One Image Restoration, IEEE Transactions on Cybernetics (TCyb), CCF-B. Authors: Yimin Xu, Nanxi Gao, Yunshan Zhong, Fei Chao, Rongrong Ji†.

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers, ICML 2024 (Spotlight, 3.5%), CCF-A. Authors: Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji†.
Learning Image Demoireing from Unpaired Real Data, AAAI 2024, CCF-A. Authors: Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji†.
Cam: Cache Merging for Memory-Efficient LLMs Inference, ICML 2024, CCF-A. Authors: Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji†.

Lottery Jackpots Exist in Pre-Trained Models, IEEE TPAMI, CCF-A. Authors: Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji†.
Bi-directional Masks for Efficient N:M Sparse Training, ICML 2023, CCF-A. Authors: Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji†.

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks, ECCV 2022, CCF-B. Authors: Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji†.
Fine-grained Data Distribution Alignment for Post-Training Quantization, ECCV 2022, CCF-B. Authors: Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji†.
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization, CVPR 2022, CCF-A. Authors: Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji†.

Re-ID Driven Localization Refinement for Person Search, ICCV 2019, CCF-A. Authors: Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang.
Re-Identification Supervised Texture Generation, CVPR 2019, CCF-A. Authors: Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei.

† Corresponding author.