1、Zhong, Yunshan, You Huang, Jiawei Hu, Yuxin Zhang, and Rongrong Ji (2024). “Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction”. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), CCF-A, SCI-1 Top

2、Zhong, Yunshan, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, and Rongrong Ji (2024). “Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks”. In: SCIENCE CHINA Information Sciences (SCIS), CCF-A, SCI-1 Top

3、Zhong, Yunshan, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, and Rongrong Ji (2024). “MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization”. In: Pattern Recognition (PR), CCF-B, SCI-1 Top

4、Zhang, Yuxin, Mingbao Lin, Yunshan Zhong, Fei Chao, and Rongrong Ji (2023). “Lottery Jackpots Exist in Pre-Trained Models”. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), CCF-A, SCI-1 Top

5、Xu Yimin, Gaonan Xi, Yunshan Zhong, Fei Chao, and Rongrong Ji (2025). “ARF: Arbitrary Routing Framework for All-In-One Image Restoration”. In IEEE Transactions on Cybernetics (TCYB),CCF-B, SCI-1 Top

6、Zhong, Yunshan, Jiawei Hu, You Huang, Yuxin Zhang, and Rongrong Ji (2024). “ERQ: Error Reduction for Post-Training Quantization of Vision Transformers”. In: International Conference on Machine Learning (ICML), Spotlight (3.5%), CCF-A

7、Zhong, Yunshan, Yuyao Zhou, Yuxin Zhang, Fei Chao, and Rongrong Ji (2024a). “Learning Image Demoireing from Unpaired Real Data”. In: Association for the Advancement of Artificial Intelligence (AAAI), CCF-A.

8、Zhong, Yunshan, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, and Rongrong Ji (2022). “IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization”. In: Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A.

9、Zhong, Yunshan, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, and Rongrong Ji (2022). “Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks”. In: European Conference on Computer Vision (ECCV), CCF-B.

10、Zhong, Yunshan, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, and Rongrong Ji (2022). “Fine-grained Data Distribution Alignment for Post-Training Quantization”. In: European Conference on Computer Vision (ECCV), CCF-B.

11、Zhang, Yuxin, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, and Rongrong Ji (2023). “Bi-directional Masks for Efficient N: M Sparse Training”. In: International Conference on Machine Learning (ICML), CCF-A.

12、Wang, Jian, Yunshan Zhong, Yachun Li, Chi Zhang, and Yichen Wei (2019). “Re-Identification Supervised Texture Generation”. In: Conference on Computer Vision and Pattern Recognition (CVPR), CCF-A.

13、Han, Chuchu, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, and Nong Sang (2019). “Re-ID Driven Localization Refinement for Person Search”. In: International Conference on Computer Vision (ICCV), CCF-A