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MJOA-MU: End-to-edge collaborative computation for DNN inference based on model uploading 期刊论文
COMPUTER NETWORKS, 2023, 卷号: 231, 页码: 17
作者:  Yang, Huan;  Sun, Sheng;  Liu, Min;  Zhang, Qiuping;  Wang, Yuwei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
DNN inference  Model uploading  DNN partitioning  Resource allocation  
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
QoE Assessment Model Based on Continuous Deep Learning for Video in Wireless Networks 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 卷号: 22, 期号: 6, 页码: 3619-3633
作者:  Liu, Xuewen;  Chuai, Gang;  Wang, Xin;  Xu, Zhiwei;  Gao, Weidong
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Quality of experience  Quality of service  Training  Data models  Wireless networks  Computational modeling  Mobile computing  Data-driven QoE assessment  continual deep learning  QoE  QoS mapping  wireless network  cascaded DNNs  
Deep Intra Prediction by Jointly Exploiting Local and Non-Local Similarities 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 5, 页码: 2396-2409
作者:  Lei, Meng;  Zhang, Jiaqi;  Wang, Shiqi;  Wang, Shanshe;  Ma, Siwei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Correlation  Predictive models  Deep learning  Video coding  Image reconstruction  Encoding  Convolutional neural networks  Intra prediction  attention mechanism  template matching  non-local operation  
BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 1, 页码: 90-103
作者:  Li, Hongyan;  Lu, Hang;  Wang, Haoxuan;  Deng, Shengji;  Li, Xiaowei
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Deep learning accelerator  deep neural network (DNN)  hardware runtime pruning  
A Framework for Neural Network Architecture and Compile Co-optimization 期刊论文
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2023, 卷号: 22, 期号: 1, 页码: 24
作者:  Chen, Weiwei;  Wang, Ying;  Xu, Ying;  Gao, Chengsi;  Liu, Cheng;  Zhang, Lei
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
DNN-scheduling Co-design  hardware-aware neural architecture search  compiler optimization  
Optimus: An Operator Fusion Framework for Deep Neural Networks 期刊论文
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2023, 卷号: 22, 期号: 1, 页码: 26
作者:  Cai, Xuyi;  Wang, Ying;  Zhang, Lei
收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12
Neural network  embedded processor  memory  layer fusion  
A Systematic View of Model Leakage Risks in Deep Neural Network Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3254-3267
作者:  Hu, Xing;  Liang, Ling;  Chen, Xiaobing;  Deng, Lei;  Ji, Yu;  Ding, Yufei;  Du, Zidong;  Guo, Qi;  Sherwood, Tim;  Xie, Yuan
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Domain-specific architecture  deep learning security  model security  
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：29/0  |  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  
A Fast Precision Tuning Solution for Always-On DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1236-1248
作者:  Wang, Ying;  He, Yintao;  Cheng, Long;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07
Computer architecture  Neural networks  Computational modeling  Approximate computing  Tuning  Switches  Microprocessors  Always-on  CNN  computing-in-memory (CiM)  resistive RAM