郭晋阳｜北京航空航天大学｜学者主页

期刊论文

2026

大语言模型压缩综述

郭晋阳，贺昌义，杨戈，刘祥龙

《计算机科学与探索》

2026

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks

Haotong Qin, Xudong Ma, Xianglong Liu, Jie Luo, Jinyang Guo, Michele Magno, Yulun Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

A survey of low-bit large language models: Basics, systems, and algorithms

Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shenyan Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu

Neural Networks

DOI

2025

Model Compression for Efficient Generative AI

Jinyang Guo

DOI

2025

ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing

Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao

IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

DOI

2025

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints

Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models

Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

ACM International Conference on Multimedia (ACM MM)

DOI

2024

QVD: Post-training Quantization for Video Diffusion Models

Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie

ACM International Conference on Multimedia (ACM MM)

DOI

2024

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection

Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu

ACM International Conference on Multimedia (ACM MM)

DOI

2024

EMCLR '24: 1st International Workshop on Efficient Multimedia Computing under Limited Resources

Jinyang Guo, Zhenghao Chen, Yuqing Ma, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao

DOI

2023

深度学习模型压缩的挑战与展望

杨戈，郭晋阳，柴振华

《人工智能》

预印本

2024

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models

Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

arXiv (Cornell University)

DOI

郭晋阳

精选作品

期刊论文

大语言模型压缩综述

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks

A survey of low-bit large language models: Basics, systems, and algorithms

Model Compression for Efficient Generative AI

ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models

QVD: Post-training Quantization for Video Diffusion Models

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection

EMCLR '24: 1st International Workshop on Efficient Multimedia Computing under Limited Resources

深度学习模型压缩的挑战与展望

预印本

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models

研究方向