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Functional Testing and Repair for ReRAM-Based Deep-Learning Accelerators 期刊论文
IEEE DESIGN & TEST, 2025, 卷号: 42, 期号: 3, 页码: 66-73
作者:  Li, Wen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei;  Zou, Kaiwei
收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25
Accuracy  Fault tolerant systems  Fault tolerance  Deep learning  Image edge detection  Fault detection  Computational modeling  Training  Reliability  Hafnium  Deep Neural Network  ReRAM  Functional Test  Computing-in-Memory  
Attar: RRAM-based in-memory attention accelerator with software-hardware co-optimization 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2025, 卷号: 68, 期号: 3, 页码: 17
作者:  Li, Bing;  Qi, Ying;  Wang, Ying;  Han, Yinhe
收藏  |  浏览/下载：0/0  |  提交时间：2025/06/25
RRAM  computing-in-memory  attention  pruning  quantization  
Accelerate Point Cloud Structuring for Deep Neural Networks via Fast Spatial-Searching Tree 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2025, 卷号: 35, 期号: 3, 页码: 2570-2585
作者:  Zhan, Jinyu;  Zou, Shiyu;  Jiang, Wei;  Zhang, Youyuan;  Peng, Suidi;  Wang, Ying
收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25
Deep neural networks  point cloud structuring  fast spatial-searching tree  sampling  neighbor query  acceleration  Deep neural networks  point cloud structuring  fast spatial-searching tree  sampling  neighbor query  acceleration  
APoX-M: Accelerate deep point cloud analysis via adaptive graph construction 期刊论文
INTEGRATION-THE VLSI JOURNAL, 2025, 卷号: 101, 页码: 10
作者:  Dai, Lei;  Liang, Shengwen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25
K nearest neighbor  Approximate nearest neighbor  Point cloud  Graph construction  
A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 120, 页码: 17
作者:  He, Junxian;  Tian, Min;  Jiang, Ying;  Wang, Haibing;  Wang, Tengxiao;  Zhou, Xichuan;  Liu, Liyuan;  Wu, Nanjian;  Wang, Ying;  Shi, Cong
收藏  |  浏览/下载：23/0  |  提交时间：2024/12/06
Neuromorphic  Convolutional neuronal network  Spiking neural network  HMAX  STDP  On-chip learning  
Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey 期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 6, 页码: 830-847
作者:  Cheng, Long;  Gu, Yan;  Liu, Qingzhi;  Yang, Lei;  Liu, Cheng;  Wang, Ying
收藏  |  浏览/下载：6/0  |  提交时间：2025/06/25
Computational modeling  Hardware  Artificial neural networks  Optimization  Internet of Things  Adaptation models  Data models  AIoT devices  DNN inference  model compression  parallel computing  performance optimization  survey  
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:  He, Yintao;  Li, Bing;  Wang, Ying;  Liu, Cheng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：23/0  |  提交时间：2024/12/06
Task analysis  Sparse matrices  Convolution  Convolutional neural networks  Design automation  Neural networks  Integrated circuits  Graph convolutional network  hardware acceleration  processing-in-memory  
An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 6, 页码: 1781-1793
作者:  Chen, Mingkai;  Liu, Cheng;  Liang, Shengwen;  He, Lei;  Wang, Ying;  Zhang, Lei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：23/0  |  提交时间：2024/12/06
Memory management  Buildings  Bandwidth  Hardware  Social networking (online)  Energy efficiency  Parallel processing  Graph construction  graph updating  near-data processing  nearest neighbors  power gating  stacked memory  
A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling 期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 3, 页码: 422-432
作者:  Cheng, Long;  Wang, Yue;  Cheng, Feng;  Liu, Cheng;  Zhao, Zhiming;  Wang, Ying
收藏  |  浏览/下载：16/0  |  提交时间：2024/12/06
Cloud computing  Processor scheduling  Real-time systems  Costs  Quality of service  Time factors  Dynamic scheduling  DRL  job scheduling  preemptive mechanism  optimization  
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510
作者:  Liu, Lian;  Wang, Ying;  Zhao, Xiandong;  Chen, Weiwei;  Li, Huawei;  Li, Xiaowei;  Han, Yinhe
收藏  |  浏览/下载：52/0  |  提交时间：2024/12/06
Optimization  Quantization (signal)  Computer architecture  Training  Computational modeling  Integrated circuit modeling  Convergence  Automatic joint optimization  efficient model inference  network quantization  neural architecture search (NAS)