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ORCIDYunshan Zhong
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2020 – today
- 2024
[c9]Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji:
Learning Image Demoiréing from Unpaired Real Data. AAAI 2024: 7623-7631- [c8]Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji:
CaM: Cache Merging for Memory-efficient LLMs Inference. ICML 2024 - [c7]Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji:
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. ICML 2024 - [i15]Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji:
Learning Image Demoireing from Unpaired Real Data. CoRR abs/2401.02719 (2024) - [i14]Wenhao Li, Mingbao Lin, Yunshan Zhong, Shuicheng Yan, Rongrong Ji:
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs. CoRR abs/2406.18173 (2024) - [i13]Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji:
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. CoRR abs/2407.06794 (2024) - 2023
- [j1]Yuxin Zhang
, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji:
Lottery Jackpots Exist in Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14990-15004 (2023) - [c6]Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji:
Bi-directional Masks for Efficient N: M Sparse Training. ICML 2023: 41488-41497 - [i12]Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji:
Bi-directional Masks for Efficient N: M Sparse Training. CoRR abs/2302.06058 (2023) - [i11]Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji:
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks. CoRR abs/2305.05888 (2023) - [i10]Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji:
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. CoRR abs/2305.08117 (2023) - [i9]Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji:
Spatial Re-parameterization for N: M Sparsity. CoRR abs/2306.05612 (2023) - [i8]Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji:
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization. CoRR abs/2311.10126 (2023) - 2022
- [c5]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR 2022: 12329-12338 - [c4]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) 2022: 1-18 - [c3]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) 2022: 70-86 - [i7]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR abs/2203.03844 (2022) - [i6]Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji:
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. CoRR abs/2211.08544 (2022) - [i5]Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji:
Shadow Removal by High-Quality Shadow Synthesis. CoRR abs/2212.04108 (2022) - 2021
- [i4]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR abs/2109.04186 (2021) - [i3]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR abs/2111.09136 (2021)
2010 – 2019
- 2019
- [c2]Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei:
Re-Identification Supervised Texture Generation. CVPR 2019: 11846-11856 - [c1]Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang:
Re-ID Driven Localization Refinement for Person Search. ICCV 2019: 9813-9822 - [i2]Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei:
Re-Identification Supervised Texture Generation. CoRR abs/1904.03385 (2019) - [i1]Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang:
Re-ID Driven Localization Refinement for Person Search. CoRR abs/1909.08580 (2019)
Coauthor Index
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