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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：14/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
Network Pruning for Bit-Serial Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1597-1609
作者:  Zhao, Xiandong;  Wang, Ying;  Liu, Cheng;  Shi, Cong;  Tu, Kaijie;  Zhang, Lei
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
AI accelerators  neural networks (NNs)  NN compression  
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1588-1596
作者:  Lv, Hao;  Li, Bing;  Zhang, Lei;  Liu, Cheng;  Wang, Ying
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Security  Hardware  Neuromorphic engineering  Computational modeling  Circuit faults  Resistance  Immune system  Adversarial attack  fault injection attack  neuromorphic computing system (NCS)  processing in memory  reliability  resistive memory  
On-Line Fault Protection for ReRAM-Based Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 2, 页码: 423-437
作者:  Li, Wen;  Wang, Ying;  Liu, Cheng;  He, Yintao;  Liu, Lian;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：23/0  |  提交时间：2023/07/12
Training  Fault detection  Computational modeling  Image edge detection  Memristors  Neural networks  Kernel  Deep neural network  hard fault  ReRAM  reliability  soft fault  
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：21/0  |  提交时间：2023/07/12
DNN-scheduling Co-design  hardware-aware neural architecture search  compiler optimization  
IVP: An Intelligent Video Processing Architecture for Video Streaming 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 1, 页码: 264-277
作者:  Gao, Chengsi;  Wang, Ying;  Han, Yinhe;  Chen, Weiwei;  Zhang, Lei
收藏  |  浏览/下载：20/0  |  提交时间：2023/07/12
Video enhancement  compressed video  DNN  approximate computing  optical flow  accelerator  
Dadu-SV: Accelerate Stereo Vision Processing on NPU 期刊论文
IEEE EMBEDDED SYSTEMS LETTERS, 2022, 卷号: 14, 期号: 4, 页码: 191-194
作者:  Min, Feng;  Wang, Ying;  Xu, Haobo;  Huang, Junpei;  Wang, Yujie;  Zou, Xingqi;  Lu, Meixuan;  Han, Yinhe
收藏  |  浏览/下载：21/0  |  提交时间：2023/07/12
Hardware acceleration  neural computing  neural processing unit (NPU)  semiglobal matching (SGM)  stereo vision  
An Efficient Deep Learning Accelerator Architecture for Compressed Video Analysis 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 9, 页码: 2808-2820
作者:  Wang, Yongchen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：40/0  |  提交时间：2022/12/07
Streaming media  Neural networks  Image coding  Decoding  Metadata  Deep learning  Hardware  Neural network acceleration  specialized accelerator  video analysis  
Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2115-2127
作者:  He, Yintao;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：39/0  |  提交时间：2022/12/07
Computer architecture  Microprocessors  Resistance  Power demand  Training  Biological neural networks  Optimization  Low power (LP)  neural networks  processing-in-memory  resistive random-access memory (RRAM)  
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