CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection. - Chengtao Lv; Jinyang Guo; Jiaqi Yu; Ruiyan Zhang; Xianglong Liu 001 (UAVM, 2023)

SRI-Net: Similarity retrieval-based inference network for light field salient object detection. - Chengtao Lv; Xiaofei Zhou; Bin Zhu; Deyang Liu; Bolun Zheng; Jiyong Zhang; Chenggang Yan 001 (J. Vis. Commun. Image Represent., 2023)

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)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 004; Jinyang Guo; Yifu Ding; Xianglong Liu 001 (CVPR, 2024)

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. - Ruihao Gong; Yang Yong; Shiqiao Gu; Yushi Huang; Chengtao Lv; Yunchen Zhang; Dacheng Tao; Xianglong Liu 001 (EMNLP (Industry Track), 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)

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. - Ruihao Gong; Yifu Ding; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Haotong Qin; Jinyang Guo; Michele Magno; Xianglong Liu 001 (CoRR, 2024)

ADNet: Anti-noise dual-branch network for road defect detection. - Bin Wan; Xiaofei Zhou; Yaoqi Sun; Tingyu Wang; Chengtao Lv; Shuai Wang 003; Haibing Yin; Chenggang Yan 001 (Eng. Appl. Artif. Intell., 2024)

A foreground-context dual-guided network for light-field salient object detection. - Xin Zheng 006; Boyang Wang; Deyang Liu; Chengtao Lv; Jiebin Yan; Ping An (Signal Process. Image Commun., 2024)

MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object Detection. - Bin Wan; Xiaofei Zhou; Yaoqi Sun; Tingyu Wang; Chengtao Lv; Shuai Wang 003; Haibing Yin; Chenggang Yan 001 (IEEE Trans. Multim., 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)

Lightweight Cross-Modal Information Mutual Reinforcement Network for RGB-T Salient Object Detection. - Chengtao Lv; Bin Wan; Xiaofei Zhou; Yaoqi Sun; Jiyong Zhang; Chenggang Yan 001 (Entropy, 2024)

TMNet: Triple-modal interaction encoder and multi-scale fusion decoder network for V-D-T salient object detection. - Bin Wan; Chengtao Lv; Xiaofei Zhou; Yaoqi Sun; Zunjie Zhu; Hongkui Wang; Chenggang Yan 001 (Pattern Recognit., 2024)

Transformer-Based Cross-Modal Integration Network for RGB-T Salient Object Detection. - Chengtao Lv; Xiaofei Zhou; Bin Wan; Shuai Wang 003; Yaoqi Sun; Jiyong Zhang; Chenggang Yan 001 (IEEE Trans. Consumer Electron., 2024)

QVGen: Pushing the Limit of Quantized Video Generative Models. - Yushi Huang; Ruihao Gong; Jing Liu; Yifu Ding; Chengtao Lv; Haotong Qin; Jun Zhang (CoRR, 2025)

LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit. - Chengtao Lv; Bilang Zhang; Yang Yong; Ruihao Gong; Yushi Huang; Shiqiao Gu; Jiajun Wu; Yumeng Shi; Jinyang Guo; Wenya Wang (CoRR, 2025)