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Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure 期刊论文
SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 15
作者:  Dong, Bowen;  Wang, Zhuo;  Li, Zhenyu;  Duan, Zhichao;  Xu, Jiacheng;  Pan, Tengyu;  Zhang, Rui;  Liu, Ning;  Li, Xiuxing;  Wang, Jie;  Liu, Caiyan;  Dong, Liling;  Mao, Chenhui;  Gao, Jing;  Wang, Jianyong
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2023, 卷号: 60, 期号: 4, 页码: 14
作者:  Huang, Junjie;  Xie, Ruobing;  Cao, Qi;  Shen, Huawei;  Zhang, Shaoliang;  Xia, Feng;  Cheng, Xueqi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Negative feedback  Signed social networks  Graph Neural Networks  Recommender system  
Lightweight real-time stereo matching algorithm for AI chips 期刊论文
COMPUTER COMMUNICATIONS, 2023, 卷号: 199, 页码: 210-217
作者:  Liu, Yi;  Wang, Wenhao;  Xu, Xintao;  Guo, Xiaozhou;  Gong, Guoliang;  Lu, Huaxiang
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
AI chips  Stereo matching  Lightweight network  Unsupervised learning  Multi-stage stereo matching  
Re-FeMAT: A Reconfigurable Multifunctional FeFET-Based Memory Architecture 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 11, 页码: 5071-5084
作者:  Zhang, Xiaoyu;  Liu, Rui;  Song, Tao;  Yang, Yuxin;  Han, Yinhe;  Chen, Xiaoming
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Convolutional neural network (CNN)  ferroelectric field-effect transistor (FeFET)  few-shot learning  in-memory processing  ternary content-addressable memory (TCAM)  
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949
作者:  Chen, Xiaobing;  Wang, Yuke;  Xie, Xinfeng;  Hu, Xing;  Basak, Abanti;  Liang, Ling;  Yan, Mingyu;  Deng, Lei;  Ding, Yufei;  Du, Zidong;  Xie, Yuan
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
Deep learning accelerator  graph neural network (GNN)  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：30/0  |  提交时间：2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222
作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Zeng, Xi;  Li, Ling;  Cheng, Limin;  Xu, Zhiwei;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载：32/0  |  提交时间：2022/06/21
Deep learning  Central Processing Unit  Process control  Task analysis  Computational modeling  Pipelines  Runtime  Neural net accelerators  system architectures  interaction wall  
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21
Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization  
Incorporating explicit syntactic dependency for aspect level sentiment classification 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 394-406
作者:  Ke, Wenjun;  Gao, Jinhua;  Shen, Huawei;  Cheng, Xueqi
收藏  |  浏览/下载：30/0  |  提交时间：2021/12/01
Sentiment classification  Syntactic dependency  Attention network  
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21
作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis