Zhong, Yunshan

9 publications

ICCV 2025 AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model Wenlun Zhang, Yunshan Zhong, Shimpei Ando, Kentaro Yoshioka

ICCV 2025 Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Wanchen Sui, Shen Li, Yong Li, Fei Chao, Rongrong Ji

ICML 2024 CaM: Cache Merging for Memory-Efficient LLMs Inference Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji

ICML 2024 ERQ: Error Reduction for Post-Training Quantization of Vision Transformers Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji

AAAI 2024 Learning Image Demoiréing from Unpaired Real Data Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji

ICML 2023 Bi-Directional Masks for Efficient N:M Sparse Training Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji

ECCV 2022 Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

ECCV 2022 Fine-Grained Data Distribution Alignment for Post-Training Quantization Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

CVPR 2022 IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji