Jinyang Guo

According to our database, Jinyang Guo authored at least 64 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, August, 2025

Pushing the Limit of Post-Training Quantization.

Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqian Fan, Xiuying Wei, Jinyang Guo

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models.

Xingyu Zheng, Haotong Qin, Yuye Li, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu

CoRR, July, 2025

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning.

Hui Xie, Yuhe Liu, Shaoqi Yang, Jinyang Guo, Yufei Guo, Yuqing Ma, Jiaxin Chen, Jiaheng Liu, Xianglong Liu

CoRR, July, 2025

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions.

Aishan Liu, Zonghao Ying, Le Wang, Junjie Mu, Jinyang Guo, Jiakai Wang, Yuqing Ma, Siyuan Liang, Mingchuan Zhang, Xianglong Liu, Dacheng Tao

CoRR, June, 2025

DynaSplat: Dynamic-Static Gaussian Splatting with Hierarchical Motion Decomposition for Scene Reconstruction.

Junli Deng, Ping Shi, Qipei Li, Jinyang Guo

CoRR, June, 2025

An Empirical Study of Qwen3 Quantization.

Xingyu Zheng, Yuye Li, Haoran Chu, Yue Feng, Xudong Ma, Jie Luo, Jinyang Guo, Haotong Qin, Michele Magno, Xianglong Liu

CoRR, May, 2025

Efficient Token Compression for Vision Transformer with Spatial Information Preserved.

Junzhu Mao, Yang Shen, Jinyang Guo, Yazhou Yao, Xian-Sheng Hua

CoRR, March, 2025

Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters.

Jing Wang, Chao Li, Taolei Wang, Jinyang Guo, Hanzhang Yang, Yiming Zhuansun, Minyi Guo

CoRR, March, 2025

Dynamic Parallel Tree Search for Efficient LLM Reasoning.

Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao

CoRR, February, 2025

Prune and Merge: Efficient Token Compression for Vision Transformer With Spatial Information Preserved.

Junzhu Mao, Yang Shen, Jinyang Guo, Yazhou Yao, Xian-Sheng Hua, Hengtao Shen

IEEE Trans. Multim., 2025

Physics of Motion, Geometry of Cohesion: A Silky Gaussian Head Avatar Framework.

Junli Deng, Ping Shi, Qipei Li, Jinyang Guo

IEEE Signal Process. Lett., 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation.

Junli Deng, Yihao Luo, Xueting Yang, Siyou Li, Wei Wang, Jinyang Guo, Ping Shi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers.

Zhuguanyu Wu, Jiayi Zhang, Jiaxin Chen, Jinyang Guo, Di Huang, Yunhong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dynamic Parallel Tree Search for Efficient LLM Reasoning.

Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach.

Aowen Wang, Zhiwang Zhang, Dongang Wang, Fanyi Wang, Haotian Hu, Jinyang Guo, Yipeng Zhou, Chaoyi Pang, Shiting Wen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression.

Jinyang Guo, Dong Xu, Wanli Ouyang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

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

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

CoRR, 2024

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models.

Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao

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

CoRR, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu

CoRR, 2024

BinaryDM: Towards Accurate Binarization of Diffusion Model.

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

CoRR, 2024

BiDM: Pushing the Limit of Quantization for Diffusion Models.

Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment.

Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling.

Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector.

Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.

Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes.

Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation.

Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, Tao Chen, Wanli Ouyang

IEEE Trans. Circuits Syst. Video Technol., October, 2023

FPGA sharing in the cloud: a comprehensive analysis.

Jinyang Guo, Lu Zhang, José Romero Hung, Chao Li, Jieru Zhao, Minyi Guo

Frontiers Comput. Sci., October, 2023

DRAGON: Dynamic Recurrent Accelerator for Graph Online Convolution.

José Romero Hung, Chao Li, Taolei Wang, Jinyang Guo, Pengyu Wang, Chuanming Shao, Jing Wang, Guoyong Shi, Xiangwen Liu, Hanqing Wu

ACM Trans. Design Autom. Electr. Syst., January, 2023

RobustMQ: benchmarking robustness of quantized models.

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Vis. Intell., 2023

GeometryMotion-Transformer: An End-to-End Framework for 3D Action Recognition.

Jiaheng Liu, Jinyang Guo, Dong Xu

IEEE Trans. Multim., 2023

CBANet: Toward Complexity and Bitrate Adaptive Deep Image Compression Using a Single Network.

Jinyang Guo, Dong Xu, Guo Lu

IEEE Trans. Image Process., 2023

Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling.

Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu

CoRR, 2023

Visual Object Detection for Privacy-Preserving Federated Learning.

Jing Zhang, Jiting Zhou, Jinyang Guo, Xiaohan Sun

IEEE Access, 2023

CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection.

Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu

Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023

Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling.

Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Annealing-based Label-Transfer Learning for Open World Object Detection.

Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adaptive Contrastive Knowledge Distillation for BERT Compression.

Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition.

Jiaheng Liu, Jinyang Guo, Dong Xu

IEEE Trans. Image Process., 2022

3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition.

Jinyang Guo, Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing.

Jinyang Guo, Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

On The Design of a Light-weight FPGA Programming Framework for Graph Applications.

Jing Wang, Jinyang Guo, Chao Li

CoRR, 2022

Oversubscribing GPU Unified Virtual Memory: Implications and Suggestions.

Chuanming Shao, Jinyang Guo, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

CoupleFace: Relation Matters for Face Recognition Distillation.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Learning of Accurate Siamese Tracking.

Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction.

Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ACE-GCN: A Fast Data-driven FPGA Accelerator for GCN Embedding.

José Romero Hung, Chao Li, Pengyu Wang, Chuanming Shao, Jinyang Guo, Jing Wang, Guoyong Shi

ACM Trans. Reconfigurable Technol. Syst., 2021

Transformer3D-Det: Improving 3D Object Detection by Vote Refinement.

Lichen Zhao, Jinyang Guo, Dong Xu, Lu Sheng

IEEE Trans. Circuits Syst. Video Technol., 2021

Model Compression Using Progressive Channel Pruning.

Jinyang Guo, Weichen Zhang, Wanli Ouyang, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2021

CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network.

Jinyang Guo, Dong Xu, Guo Lu

CoRR, 2021

2020

Multi-Dimensional Pruning: A Unified Framework for Model Compression.

Jinyang Guo, Wanli Ouyang, Dong Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Channel Pruning Guided by Classification Loss and Feature Importance.

Jinyang Guo, Wanli Ouyang, Dong Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Following event detection method based on human skeleton motion analysis by Kinect sensor.

Hongbo Zhang, Miaohui Zhang, Jinyang Guo, Qing Lei, Tsung-Chih Hsiao

Prog. Artif. Intell., 2018