An Empirical study of Data-Free Quantization's Tuning Robustness. - Hong Chen 014; Yuxuan Wen; Yifu Ding; Zhen Yang; Yufei Guo; Haotong Qin (CVPR Workshops, 2022)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs. - Hong Chen 014; Chengtao Lv; Liang Ding 006; Haotong Qin; Xiabin Zhou; Yifu Ding; Xuebo Liu 002; Min Zhang 005; Jinyang Guo; Xianglong Liu 001; Dacheng Tao (ACL (Findings), 2024)

QVD: Post-training Quantization for Video Diffusion Models. - Shilong Tian; Hong Chen 014; Chengtao Lv; Yu Liu 031; Jinyang Guo; Xianglong Liu 001; Shengxi Li; Hao Yang; Tao Xie (ACM Multimedia, 2024)

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. - Wei Huang 042; Xudong Ma; Haotong Qin; Xingyu Zheng; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (CoRR, 2024)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 014; Jinyang Guo; Yifu Ding; Xianglong Liu 001 (CoRR, 2024)

An empirical study of LLaMA3 quantization: from LLMs to MLLMs. - Wei Huang 042; Xingyu Zheng; Xudong Ma; Haotong Qin; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (Vis. Intell., 2024)