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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：1/0  |  提交时间：2024/05/20
Deep learning  winograd convolution  low-precision computation  
Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Cai, Shaofei;  Li, Liang;  Han, Xinzhe;  Huang, Shan;  Tian, Qi;  Huang, Qingming
收藏  |  浏览/下载：1/0  |  提交时间：2024/05/20
Attention mechanism  feature disentangling  graph convolutional network (GCN)  multilabel recognition  
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：1/0  |  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 automated optical inspection (AOI) platform for three-dimensional (3D) defects detection on glass micro-optical components (GMOC) 期刊论文
OPTICS COMMUNICATIONS, 2023, 卷号: 545, 页码: 7
作者:  Du, Yinchao;  Chen, Jiangpeng;  Zhou, Han;  Yang, Xiaoling;  Wang, Zhongqi;  Zhang, Jie;  Shi, Yuechun;  Chen, Xiangfei;  Zheng, Xuezhe
收藏  |  浏览/下载：6/0  |  提交时间：2023/12/04
Automated optical inspection  Glass micro -optical components  Defects detection  3D video acquisition  Machine-learning algorithm  
TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction 期刊论文
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 卷号: 177, 页码: 16
作者:  Lv, Yang;  Lv, Zhiqiang;  Cheng, Zesheng;  Zhu, Zhanqi;  Rashidi, Taha Hossein
收藏  |  浏览/下载：6/0  |  提交时间：2023/12/04
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：6/0  |  提交时间：2023/12/04
Deformable convolution network  neural network accelerator  irregular memory access  runtime tile scheduling  
Lightweight real-time stereo matching algorithm for AI chips 期刊论文
COMPUTER COMMUNICATIONS, 2023, 卷号: 199, 页码: 210-217
作者:  Liu, Yi;  Wang, Wenhao;  Xu, Xintao;  Guo, Xiaozhou;  Gong, Guoliang;  Lu, Huaxiang
收藏  |  浏览/下载：11/0  |  提交时间：2023/07/12
AI chips  Stereo matching  Lightweight network  Unsupervised learning  Multi-stage stereo matching  
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：27/0  |  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：11/0  |  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：27/0  |  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