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CUTE: A scalable CPU-centric and Ultra-utilized Tensor Engine for convolutions 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2024, 卷号: 149, 页码: 15
作者:  Li, Wenqing;  Ye, Jinpeng;  Zhang, Fuxin;  Liu, Tianyi;  Zhang, Tingting;  Wang, Jian
收藏  |  浏览/下载：8/0  |  提交时间：2024/05/20
Tensor engine  Convolution  Scalable architecture  CPU-centric  Utilization  
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2024, 卷号: 21, 期号: 1, 页码: 26
作者:  Wang, Xueying;  Li, Guangli;  Jia, Zhen;  Feng, Xiaobing;  Wang, Yida
收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20
Deep learning  winograd convolution  low-precision computation  
Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 22
作者:  Zhang, Weigang;  Qi, Zhaobo;  Wang, Shuhui;  Su, Chi;  Su, Li;  Huang, Qingming
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Event recognition  temporal concept receptive field  dynamic convolution  
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 1763-1773
作者:  Xue, Xinghua;  Liu, Cheng;  Liu, Bo;  Huang, Haitong;  Wang, Ying;  Luo, Tao;  Zhang, Lei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Fault tolerant systems  Fault tolerance  Artificial neural networks  Convolution  Reliability  Computational modeling  Neurons  Fault-tolerance  soft errors  vulnerability analysis  winograd convolution (WG-Conv)  
An anomaly aware network embedding framework for unsupervised anomalous link detection 期刊论文
DATA MINING AND KNOWLEDGE DISCOVERY, 2023, 页码: 34
作者:  Duan, Dongsheng;  Zhang, Cheng;  Tong, Lingling;  Lu, Jie;  Lv, Cunchi;  Hou, Wei;  Li, Yangxi;  Zhao, Xiaofang
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04
Anomalous link detection  Network embedding  Graph auto-encoder  Graph convolution network  
Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2023, 卷号: 28, 期号: 4, 页码: 23
作者:  Chu, Cheng;  Liu, Cheng;  Xu, Dawen;  Wang, Ying;  Luo, Tao;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04
Deformable convolution network  neural network accelerator  irregular memory access  runtime tile scheduling  
Variational Autoencoders for Localized Mesh Deformation Component Analysis 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6297-6310
作者:  Tan, Qingyang;  Zhang, Ling-Xiao;  Yang, Jie;  Lai, Yu-Kun;  Gao, Lin
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Strain  Shape  Three-dimensional displays  Principal component analysis  Geometry  Convolution  Solid modeling  3D meshes  variational autoencoder  graph convolution  sparsity regularization  
Fast and High-Accuracy Approximate MAC Unit Design for CNN Computing 期刊论文
IEEE EMBEDDED SYSTEMS LETTERS, 2022, 卷号: 14, 期号: 3, 页码: 155-158
作者:  Xiao, Hang;  Xu, Haobo;  Chen, Xiaoming;  Wang, Yujie;  Han, Yinhe
收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07
Approximate computing  convolution neural network  multiply and accumulate (MAC)  
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network 期刊论文
DIGITAL SIGNAL PROCESSING, 2022, 卷号: 129, 页码: 16
作者:  Mi, Xiwei;  Yu, Chengqing;  Liu, Xinwei;  Yan, Guangxi;  Yu, Fuhao;  Shang, Pan
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Spatiotemporal traffic speed forecasting  Deep deterministic policy gradient  Simple recursive network  Temporal convolution network  
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Fang, Yuchen;  Zhao, Fang;  Qin, Yanjun;  Luo, Haiyong;  Wang, Chenxing
收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07
Forecasting  Correlation  Convolution  Roads  Transformers  Predictive models  Task analysis  Traffic forecasting  spatio-temporal joint transformer  diffusion convolution network