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Random Beam Switching: A Physical Layer Key Generation Approach to Safeguard mmWave Electronic Devices 期刊论文
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2023, 卷号: 69, 期号: 3, 页码: 594-607
作者:  Ju, Ying;  Zou, Guoxue;  Bai, Haowen;  Liu, Lei;  Pei, Qingqi;  Wu, Celimuge;  Otaibi, Sattam Al
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Electronic device security  physical layer key generation  millimeter wave  static environments  beamforming  
SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 4, 页码: 17
作者:  Gao, Lin;  Liu, Feng-Lin;  Chen, Shu-Yu;  Jiang, Kaiwen;  Li, Chunpeng;  Lai, Yu-Kun;  Fu, Hongbo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Sketch-based Interaction  Neural Radiance Fields  Face Modeling  Face Editing  
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)  
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：7/0  |  提交时间：2023/12/04
AI accelerators  neural networks (NNs)  NN compression  
Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2009-2023
作者:  Wen, Yu-Hui;  Gao, Lin;  Fu, Hongbo;  Zhang, Fang-Lue;  Xia, Shihong;  Liu, Yong-Jin
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Skeleton  Feature extraction  Joints  Convolutional codes  Topology  Training  Sparse matrices  Action recognition  graph convolutional neural networks  spatio-temporal attention  non-local block  skeleton sequence  
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  
Self-Supervised learning for Conversational Recommendation 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2022, 卷号: 59, 期号: 6, 页码: 19
作者:  Li, Shuokai;  Xie, Ruobing;  Zhu, Yongchun;  Zhuang, Fuzhen;  Tang, Zhenwei;  Zhao, Wayne Xin;  He, Qing
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Conversational recommender system  Self-supervised learning  Knowledge  
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：27/0  |  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  
Exploring rich structure information for aspect-based sentiment classification 期刊论文
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2022, 页码: 21
作者:  Zhu, Ling;  Zhu, Xiaofei;  Guo, Jiafeng;  Dietze, Stefan
收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07
Aspect-based sentiment classification  Graph convolutional networks  Attention mechanism  Sentiment analysis  
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