Yunshan Zhong’s homepage

I am currently a second-year Ph.D student in the MAC lab, Institute of Artificial Intelligence, Xiamen University, China. My supervisor is Prof. Rongrong Ji.

Recently, I focus on:

Network compression and acceleration
Efficient low-level model

If you have any question about our papers/projects or any interests in these research subjects, be free to contact me: zhongyunshan@stu.xmu.edu.cn

Publications

Conference:

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. (Spotlight Paper, 3.5%) International Conference on Machine Learning (ICML) 2024 []

authors: Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji*.

Learning Image Demoiréing from Unpaired Real Data. AAAI Conference on Artificial Intelligence (AAAI) 2024 [code]

authors: Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji*.

Bi-directional Masks for Efficient N:M Sparse Training. International Conference on Machine Learning (ICML) 2023 [code] [arxiv]

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. European Conference on Computer Vision (ECCV) 2022. [code] [pdf] [arxiv]

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. European Conference on Computer Vision (ECCV) 2022. [code] [pdf] [arxiv]

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

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. [code] [pdf] [arxiv]

authors: Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji*.

Re-id driven localization refinement for person search. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2019. [arxiv]

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

Re-identification supervised texture generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 [code] [pdf] [arxiv]

authors: Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei.

Journal:

Lottery jackpots exist in pre-trained models. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024 [pdf]

authors: Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji*.

Preprint:

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. [code] [arxiv]

authors: Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji*.

Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks. [code] [arxiv]

authors: Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji*.

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. [code] [arxiv]

authors: Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji*.

Shadow Removal by High-Quality Shadow Synthesis. [code] [arxiv]

authors: Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Lizhou You, Luoqi Liu, Rongrong Ji*.

Academic activities

Reviewer of ICML, ICLR, CVPR, ICCV, NeurIPS, IEEE TNNLS.

Working experience

2022.05-2023.05
- Research Intern, Pengcheng Lab, Shenzhen
2020.11-2021.9
- Research Intern, MAC lab, Xiamen University, Xiamen
2020.7-2020.11
- R&D, Baidu, Beijing
2019.11-2020.2
- Research Intern, Kuaishou Technology, Beijing
2018.9-2019.9
- Research Intern, Megvii Technology, Beijing

Educations

2021.9-
- Intelligence Science and Technology, Ph.D student, Xiamen University, Xiamen
2017.9-2020.7
- Software Engineering, M.S., Peking University, Beijing
2013.9-2017.7
- Software Engineering, B.S., Beijing Institute of Technology, Beijing