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2020 – today
- 2024
[j15]Jinyang Guo
, Dong Xu, Wanli Ouyang:
Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13056-13070 (2024)- [c21]Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu:
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. AAAI 2024: 12190-12198 - [c20]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) 2024: 8719-8730 - [c19]Chengtao Lv, Hong Chen, Jinyang Guo, Jinyang Guo, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR 2024: 15941-15951 - [c18]Chengtao Lv, Hong Chen, Jinyang Guo, Jinyang Guo, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR 2024: 15941-15951 - [c17]Chengtao Lv, Hong Chen, Jinyang Guo, Jinyang Guo, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR 2024: 15941-15951 - [c16]Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu:
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. CVPR 2024: 16174-16184 - [c15]Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo:
LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling. CVPR 2024: 28035-28045 - [c14]Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu:
Compressing Large Language Models by Joint Sparsification and Quantization. ICML 2024 - [c13]Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu:
VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection. ACM Multimedia 2024: 5308-5317 - [c12]Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu:
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. ACM Multimedia 2024: 5742-5751 - [c11]Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie:
QVD: Post-training Quantization for Video Diffusion Models. ACM Multimedia 2024: 10572-10581 - [i16]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR abs/2402.11960 (2024) - [i15]Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu:
BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR abs/2404.05662 (2024) - [i14]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR abs/2405.03144 (2024) - [i13]Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu:
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. CoRR abs/2405.05808 (2024) - [i12]Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie:
QVD: Post-training Quantization for Video Diffusion Models. CoRR abs/2407.11585 (2024) - [i11]Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
DDK: Distilling Domain Knowledge for Efficient Large Language Models. CoRR abs/2407.16154 (2024) - [i10]Junli Deng, Yihao Luo, Xueting Yang, Li Siyou, Wei Wang, Jinyang Guo, Ping Shi:
LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation. CoRR abs/2409.09326 (2024) - [i9]Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu:
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR abs/2409.16694 (2024) - 2023
- [j14]Jing Zhang, Jiting Zhou, Jinyang Guo, Xiaohan Sun:
Visual Object Detection for Privacy-Preserving Federated Learning. IEEE Access 11: 33324-33335 (2023) - [j13]Jinyang Guo, Lu Zhang, José Romero Hung, Chao Li, Jieru Zhao, Minyi Guo:
FPGA sharing in the cloud: a comprehensive analysis. Frontiers Comput. Sci. 17(5): 175106 (2023) - [j12]Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, Tao Chen, Wanli Ouyang:
Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5868-5881 (2023) - [j11]Jinyang Guo, Dong Xu, Guo Lu:
CBANet: Toward Complexity and Bitrate Adaptive Deep Image Compression Using a Single Network. IEEE Trans. Image Process. 32: 2049-2062 (2023) - [j10]Jiaheng Liu, Jinyang Guo, Dong Xu:
GeometryMotion-Transformer: An End-to-End Framework for 3D Action Recognition. IEEE Trans. Multim. 25: 5649-5661 (2023) - [j9]José Romero Hung, Chao Li, Taolei Wang, Jinyang Guo, Pengyu Wang, Chuanming Shao, Jing Wang, Guoyong Shi, Xiangwen Liu, Hanqing Wu:
DRAGON: Dynamic Recurrent Accelerator for Graph Online Convolution. ACM Trans. Design Autom. Electr. Syst. 28(1): 1:1-1:27 (2023) - [j8]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1(1) (2023) - [c10]Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu:
Adaptive Contrastive Knowledge Distillation for BERT Compression. ACL (Findings) 2023: 8941-8953 - [c9]Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu:
Annealing-based Label-Transfer Learning for Open World Object Detection. CVPR 2023: 11454-11463 - [c8]Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu:
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP 2023: 1648-1665 - [c7]Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu:
CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection. UAVM 2023: 63-67 - [i8]Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu:
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR abs/2304.09145 (2023) - [i7]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR abs/2308.02350 (2023) - 2022
- [j7]Jinyang Guo, Jiaheng Liu, Dong Xu:
JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3659-3672 (2022) - [j6]Jinyang Guo, Jiaheng Liu, Dong Xu:
3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8717-8729 (2022) - [j5]Jiaheng Liu, Jinyang Guo, Dong Xu:
APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition. IEEE Trans. Image Process. 31: 5287-5302 (2022) - [c6]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. CVPR 2022: 5911-5920 - [c5]Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang:
Unsupervised Learning of Accurate Siamese Tracking. CVPR 2022: 8091-8100 - [c4]Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu:
CoupleFace: Relation Matters for Face Recognition Distillation. ECCV (12) 2022: 683-700 - [c3]Chuanming Shao, Jinyang Guo, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo:
Oversubscribing GPU Unified Virtual Memory: Implications and Suggestions. ICPE 2022: 67-75 - [i6]Jing Wang, Jinyang Guo, Chao Li:
On The Design of a Light-weight FPGA Programming Framework for Graph Applications. CoRR abs/2202.12479 (2022) - [i5]Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang:
Unsupervised Learning of Accurate Siamese Tracking. CoRR abs/2204.01475 (2022) - [i4]Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu:
CoupleFace: Relation Matters for Face Recognition Distillation. CoRR abs/2204.05502 (2022) - [i3]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction. CoRR abs/2206.07460 (2022) - 2021
- [j4]Jinyang Guo, Weichen Zhang, Wanli Ouyang, Dong Xu:
Model Compression Using Progressive Channel Pruning. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1114-1124 (2021) - [j3]Lichen Zhao, Jinyang Guo, Dong Xu, Lu Sheng:
Transformer3D-Det: Improving 3D Object Detection by Vote Refinement. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4735-4746 (2021) - [j2]José Romero Hung, Chao Li, Pengyu Wang, Chuanming Shao, Jinyang Guo, Jing Wang, Guoyong Shi:
ACE-GCN: A Fast Data-driven FPGA Accelerator for GCN Embedding. ACM Trans. Reconfigurable Technol. Syst. 14(4): 21:1-21:23 (2021) - [i2]Jinyang Guo, Dong Xu, Guo Lu:
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network. CoRR abs/2105.12386 (2021) - 2020
- [c2]Jinyang Guo, Wanli Ouyang, Dong Xu:
Channel Pruning Guided by Classification Loss and Feature Importance. AAAI 2020: 10885-10892 - [c1]Jinyang Guo, Wanli Ouyang, Dong Xu:
Multi-Dimensional Pruning: A Unified Framework for Model Compression. CVPR 2020: 1505-1514 - [i1]Jinyang Guo, Wanli Ouyang, Dong Xu:
Channel Pruning Guided by Classification Loss and Feature Importance. CoRR abs/2003.06757 (2020)
2010 – 2019
- 2018
- [j1]Hongbo Zhang, Miaohui Zhang, Jinyang Guo, Qing Lei, Tsung-Chih Hsiao:
Following event detection method based on human skeleton motion analysis by Kinect sensor. Prog. Artif. Intell. 7(3): 189-195 (2018)
Coauthor Index
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last updated on 2024-11-11 22:25 CET by the dblp team
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