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General Purpose Deep Learning Accelerator Based on Bit Interleaving 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1470-1483
作者:  Chang, Liang;  Lu, Hang;  Li, Chenglong;  Zhao, Xin;  Hu, Zhicheng;  Zhou, Jun;  Li, Xiaowei
收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06
Synchronization  Parallel processing  Computational modeling  Training  Pragmatics  Power demand  Hardware acceleration  Accelerator  bit-level sparsity  deep neural network (DNN)  
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：35/0  |  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  
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 7, 页码: 1626-1639
作者:  Zou, Kaiwei;  Wang, Ying;  Cheng, Long;  Qu, Songyun;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：38/0  |  提交时间：2022/12/07
Kernel  Computer architecture  Multicore processing  Deep learning  System-on-chip  Parallel processing  Real-time systems  Neural networks  parallel processing  real-time and embedded systems  single-chip multiprocessors  reinforcement learning  structured sparsity  
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 29-32
作者:  Xiao, Hang;  Xu, Haobo;  Wang, Ying;  Wang, Yujie;  Han, Yinhe
收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07
Linear particle accelerator  Correlation  Kernel  Convolution  Linear regression  System-on-chip  Quantization (signal)  Neural network  acceleration  convolution  linear regression  bit-sparsity  
Sparse Data Driven Mesh Deformation 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 3, 页码: 2085-2100
作者:  Gao, Lin;  Lai, Yu-Kun;  Yang, Jie;  Zhang, Ling-Xiao;  Xia, Shihong;  Kobbelt, Leif
收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01
Strain  Shape  Deformable models  Interpolation  Computational modeling  Geometry  Manifolds  Data driven  sparsity  large scale deformation  real-time deformation  
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 968-985
作者:  Zeng, Xi;  Zhi, Tian;  Zhou, Xuda;  Du, Zidong;  Guo, Qi;  Liu, Shaoli;  Wang, Bingrui;  Wen, Yuanbo;  Wang, Chao;  Zhou, Xuehai;  Li, Ling;  Chen, Tianshi;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Accelerator  architecture  deep neural networks  sparsity  
Addressing Sparsity in Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 10, 页码: 1858-1871
作者:  Zhou, Xuda;  Du, Zidong;  Zhang, Shijin;  Zhang, Lei;  Lan, Huiying;  Liu, Shaoli;  Li, Ling;  Guo, Qi;  Chen, Tianshi;  Chen, Yunji
收藏  |  浏览/下载：266/0  |  提交时间：2019/12/10
Accelerator  architecture  deep neural networks (DNNs)  sparsity  
Locality-constrained framework for face alignment 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 4, 页码: 789-801
作者:  Zhang, Jie;  Zhao, Xiaowei;  Kan, Meina;  Shan, Shiguang;  Chai, Xiujuan;  Chen, Xilin
收藏  |  浏览/下载：255/0  |  提交时间：2019/08/16
locality-constrained AAM  locality-constrained DFM  face alignment  sparsity-regularization  
Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 6, 页码: 867-881
作者:  Lu, Wenyan;  Yan, Guihai;  Li, Jiajun;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei
收藏  |  浏览/下载：258/0  |  提交时间：2019/08/16
Convolutional neural networks  accelerator  architecture  parallelism  sparsity  
Increasing Interpretation of Web Topic Detection via Prototype Learning From Sparse Poisson Deconvolution 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 3, 页码: 1072-1083
作者:  Pang, Junbiao;  Hu, Anjing;  Huang, Qingming;  Tian, Qi;  Yin, Baocai
收藏  |  浏览/下载：84/0  |  提交时间：2019/04/03
Poisson deconvolution  prototype learning (PL)  sparsity  submodularity  topic interpretation  Web topic detection