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2020 – today
- 2026
[j21]Zonghao Ying
, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao:
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. Int. J. Comput. Vis. 134(1): 18 (2026)- [i38]Tianbo Wang, Yuqing Ma, Kewei Liao, Zhange Zhang, Simin Li, Jinyang Guo, Xianglong Liu:
AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing. CoRR abs/2601.01957 (2026) - [i37]Li Kang, Heng Zhou, Xiufeng Song, Rui Li, Bruno N. Y. Chen, Ziye Wang, Ximeng Meng, Stone Tao, Yiran Qin, Xiaohong Liu, Ruimao Zhang, Lei Bai, Yilun Du, Hao Su, Philip Torr, Zhenfei Yin, Ruihao Gong, Yejun Zeng, Fengjun Zhong, Shenghao Jin, Jinyang Guo, Xianglong Liu, Xiaojun Jia, Tianqi Shan, Wenqi Ren, Simeng Qin, Jialing Yang, Xiaoyu Ma, Tianxing Chen, Zixuan Li, Zijian Cai, Yan Qin, Yusen Qin, Qiangyu Chen, Kaixuan Wang, Zhaoming Han, Yao Mu, Ping Luo, Yuanqi Yao, Haoming Song, Jan-Nico Zaech, Fabien Despinoy, Danda Pani Paudel, Luc Van Gool:
Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge. CoRR abs/2601.18733 (2026) - 2025
- [j20]Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shiqiao Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu:
A survey of low-bit large language models: Basics, systems, and algorithms. Neural Networks 192: 107856 (2025) - [j19]Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqian Fan, Xiuying Wei, Jinyang Guo:
Pushing the Limit of Post-Training Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5556-5570 (2025) - [j18]Junli Deng, Ping Shi, Qipei Li, Jinyang Guo:
Physics of Motion, Geometry of Cohesion: A Silky Gaussian Head Avatar Framework. IEEE Signal Process. Lett. 32: 2818-2822 (2025) - [j17]Junzhu Mao, Yang Shen, Jinyang Guo, Yazhou Yao, Xian-Sheng Hua, Hengtao Shen:
Prune and Merge: Efficient Token Compression for Vision Transformer With Spatial Information Preserved. IEEE Trans. Multim. 27: 4670-4683 (2025) - [j16]Tao Jiang, Le Luo, Chao Li, Jinyang Guo, Sheng Xu:
Improving Energy Efficiency of Graph Processing on Shared-Memory Systems. IEEE Trans. Sustain. Comput. 10(6): 1449-1460 (2025) - [c35]Aowen Wang, Zhiwang Zhang, Dongang Wang, Fanyi Wang, Haotian Hu, Jinyang Guo, Yipeng Zhou, Chaoyi Pang, Shiting Wen:
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach. AAAI 2025: 7500-7508 - [c34]Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin:
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. AAAI 2025: 16354-16362 - [c33]Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang:
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models. AAAI 2025: 17404-17412 - [c32]Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao:
Dynamic Parallel Tree Search for Efficient LLM Reasoning. ACL (1) 2025: 11233-11252 - [c31]Zhuguanyu Wu, Jiayi Zhang, Jiaxin Chen, Jinyang Guo, Di Huang, Yunhong Wang:
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers. CVPR 2025: 9686-9695 - [c30]Junli Deng, Yihao Luo, Xueting Yang, Siyou Li, Wei Wang, Jinyang Guo, Ping Shi:
LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation. ICASSP 2025: 1-5 - [c29]Jinyang Du, Jinyang Guo, Yifu Ding:
Low-Bit FlashAttention Accelerated Operator Design Based on Triton. ICCVW 2025: 3017-3026 - [c28]Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao:
ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. ICCVW 2025: 3189-3192 - [c27]Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno:
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. ICLR 2025 - [c26]Junli Deng, Ping Shi, Qipei Li, Jinyang Guo:
DynaSplat: Dynamic-Static Gaussian Splatting with Hierarchical Motion Decomposition for Scene Reconstruction. ICME 2025: 1-6 - [c25]Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu:
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. ICML 2025 - [c24]Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang:
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration. ICML 2025 - [c23]Jinyang Guo, Xinkai Wang, Jing Wang, Xiaofeng Hou, Chao Li, Minyi Guo:
TriCooling-Sim: Efficient Thermal Simulation for High-Density Micro AI Data Centers. NPC (2) 2025: 227-239 - [i36]Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao:
Dynamic Parallel Tree Search for Efficient LLM Reasoning. CoRR abs/2502.16235 (2025) - [i35]Jing Wang, Chao Li, Taolei Wang, Jinyang Guo, Hanzhang Yang, Yiming Zhuansun, Minyi Guo:
Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters. CoRR abs/2503.20275 (2025) - [i34]Junzhu Mao, Yang Shen, Jinyang Guo, Yazhou Yao, Xian-Sheng Hua:
Efficient Token Compression for Vision Transformer with Spatial Information Preserved. CoRR abs/2503.23455 (2025) - [i33]Zhuguanyu Wu, Jiayi Zhang, Jiaxin Chen, Jinyang Guo, Di Huang, Yunhong Wang:
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers. CoRR abs/2504.02508 (2025) - [i32]Xingyu Zheng, Yuye Li, Haoran Chu, Yue Feng, Xudong Ma, Jie Luo, Jinyang Guo, Haotong Qin, Michele Magno, Xianglong Liu:
An Empirical Study of Qwen3 Quantization. CoRR abs/2505.02214 (2025) - [i31]Junli Deng, Ping Shi, Qipei Li, Jinyang Guo:
DynaSplat: Dynamic-Static Gaussian Splatting with Hierarchical Motion Decomposition for Scene Reconstruction. CoRR abs/2506.09836 (2025) - [i30]Aishan Liu, Zonghao Ying, Le Wang, Junjie Mu, Jinyang Guo, Jiakai Wang, Yuqing Ma, Siyuan Liang, Mingchuan Zhang, Xianglong Liu, Dacheng Tao:
AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions. CoRR abs/2506.14697 (2025) - [i29]Hui Xie, Yuhe Liu, Shaoqi Yang, Jinyang Guo, Yufei Guo, Yuqing Ma, Jiaxin Chen, Jiaheng Liu, Xianglong Liu:
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning. CoRR abs/2507.02945 (2025) - [i28]Jinyang Guo, Weichen Zhang, Wanli Ouyang, Dong Xu:
Model Compression using Progressive Channel Pruning. CoRR abs/2507.04792 (2025) - [i27]Xingyu Zheng, Haotong Qin, Yuye Li, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu:
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. CoRR abs/2507.11017 (2025) - [i26]Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang:
LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit. CoRR abs/2508.09981 (2025) - [i25]Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo:
MAS2: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems. CoRR abs/2509.24323 (2025) - [i24]Jiacheng Wang, Yejun Zeng, Jinyang Guo, Yuqing Ma, Aishan Liu, Xianglong Liu:
SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment. CoRR abs/2511.13023 (2025) - [i23]Yushi Huang, Zining Wang, Zhihang Yuan, Yifu Ding, Ruihao Gong, Jinyang Guo, Xianglong Liu, Jun Zhang:
MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping. CoRR abs/2511.15690 (2025) - [i22]Shukai Liu, Jian Yang, Bo Jiang, Yizhi Li, Jinyang Guo, Xianglong Liu, Bryan Dai:
Context as a Tool: Context Management for Long-Horizon SWE-Agents. CoRR abs/2512.22087 (2025) - 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) - [c22]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 - [c21]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 - [c20]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR 2024: 15941-15951 - [c19]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 - [c18]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 - [c17]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: 16945-16957 - [c16]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 - [c15]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 - [c14]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 - [c13]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:
DDK: Distilling Domain Knowledge for Efficient Large Language Models. NeurIPS 2024 - [c12]Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu:
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. NeurIPS 2024 - [c11]Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin:
BiDM: Pushing the Limit of Quantization for Diffusion Models. NeurIPS 2024 - [i21]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) - [i20]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) - [i19]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR abs/2405.03144 (2024) - [i18]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) - [i17]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) - [i16]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) - [i15]Junli Deng, Yihao Luo, Xueting Yang, Siyou Li, Wei Wang, Jinyang Guo, Ping Shi:
LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation. CoRR abs/2409.09326 (2024) - [i14]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) - [i13]Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao:
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR abs/2410.18927 (2024) - [i12]Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu:
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. CoRR abs/2410.21352 (2024) - [i11]Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin:
BiDM: Pushing the Limit of Quantization for Diffusion Models. CoRR abs/2412.05926 (2024) - [i10]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. CoRR abs/2412.07268 (2024) - [i9]Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang:
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models. CoRR abs/2412.16700 (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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