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A 512-nW 0.003-mm2 Forward-Forward Black Box Trainer for an Analog Voice Activity Detector in 28-nm CMOS Journal article
LI JUNDE, XIN GUOQIANG, YU WEI HAN, UN KA FAI, RUI P MARTINS, MAK PUI IN. A 512-nW 0.003-mm2 Forward-Forward Black Box Trainer for an Analog Voice Activity Detector in 28-nm CMOS[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71(11), 4703-4707.
Authors:  LI JUNDE;  XIN GUOQIANG;  YU WEI HAN;  UN KA FAI;  RUI P MARTINS; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2024/08/29
Voice Activity Detection  Convolution Neural Network  Edge Learning  Forward-forward Algorithm  Black Box Training  Back Propagation  
A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity Journal article
Wu, Hao, Chen, Yong, Yuan, Yiyang, Yue, Jinshan, Wang, Xinghua, Li, Xiaoran, Zhang, Feng. A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity[J]. IEEE Journal of Solid-State Circuits, 2024.
Authors:  Wu, Hao;  Chen, Yong;  Yuan, Yiyang;  Yue, Jinshan;  Wang, Xinghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/07/04
Accuracy  Artificial Intelligence  Artificial Intelligence (Ai)  Circuits  Cmos  Computing-in-memory (Cim)  Energy Efficiency  Energy Efficiency  Look-up Table (Lut)  Multiply-accumulation (Mac)  Neural Network (Nn)  Power Demand  Radix16  Table Lookup  Throughput  Unstructured Sparsity  Winograd Convolution  
SS-TMNet: Spatial–Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification Journal article
Huang, Xiaohui, Zhou, Yunfei, Yang, Xiaofei, Zhu, Xianhong, Wang, Ke. SS-TMNet: Spatial–Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification[J]. Remote Sensing, 2023, 15(5), 1206.
Authors:  Huang, Xiaohui;  Zhou, Yunfei;  Yang, Xiaofei;  Zhu, Xianhong;  Wang, Ke
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:4.2/4.9 | Submit date：2023/04/03
Attention Mechanism  Convolution Neural Network (Cnn)  Hyperspectral Image (Hsi) Classification  Multi-scale 3d Convolution  
QTN: Quaternion Transformer Network for Hyperspectral Image Classification Journal article
Yang,Xiaofei, Cao,Weijia, Lu,Yao, Zhou,Yicong. QTN: Quaternion Transformer Network for Hyperspectral Image Classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(12), 7370-7384.
Authors:  Yang,Xiaofei;  Cao,Weijia;  Lu,Yao;  Zhou,Yicong
Favorite | TC[WOS]:9 TC[Scopus]:14  IF:8.3/7.1 | Submit date：2023/08/03
Convolution  Convolution Neural Network  Feature Extraction  Hyperspectral Image Classification  Hyperspectral Imaging  Image Classification  Quaternion Transformer Network (Qtn)  Quaternions  Task Analysis  Transformer Network  Transformers  
LSB-Reused Protection Technique in Secure SAR ADC against Power Side-Channel Attack Conference paper
Lele Fang, Jiahao Liu, Yan Zhu, Chi-Hang Chan, Rui Paulo Martins. LSB-Reused Protection Technique in Secure SAR ADC against Power Side-Channel Attack[C], 2022.
Authors:  Lele Fang;  Jiahao Liu;  Yan Zhu;  Chi-Hang Chan;  Rui Paulo Martins
Favorite | TC[WOS]:1 TC[Scopus]:2 | Submit date：2023/03/06
Convolution Neural Network (Cnn)  Lsb-reused  Power Side-channel Attack (Psa)  Successive Approximation Register Analog-to-digital Converter (Sar Adc)  Synchronous  
3D Human Pose Estimation via Spatio-Temporal Matching from Monocular RGB Images Journal article
Yan, Jielu, Zhou, Ming Liang, Fang, Bin, Xu, Ke. 3D Human Pose Estimation via Spatio-Temporal Matching from Monocular RGB Images[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022, 36(12), 2255017.
Authors:  Yan, Jielu;  Zhou, Ming Liang;  Fang, Bin;  Xu, Ke
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:0.9/1.0 | Submit date：2023/01/30
3d Human Pose Estimation  Convolution Neural Network  Shape Base  Time Base  
Hyperspectral Image Transformer Classification Networks Journal article
Yang, Xiaofei, Cao, Weijia, Lu, Yao, Zhou, Yicong. Hyperspectral Image Transformer Classification Networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5528715.
Authors:  Yang, Xiaofei;  Cao, Weijia;  Lu, Yao;  Zhou, Yicong
Favorite | TC[WOS]:129 TC[Scopus]:157  IF:7.5/7.6 | Submit date：2022/05/17
3d Convolution Projection  Convolution Neural Network  Hyperspectral Image Classification  Transformers  
Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network Journal article
Wong, Pak Kin, Yan, Tao, Wang, Huaqiao, Chan, In Neng, Wang, Jiangtao, Li, Yang, Ren, Hao, Wong, Chi Hong. Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network[J]. Biomedical Signal Processing and Control, 2022, 73, 103415.
Authors:  Wong, Pak Kin;  Yan, Tao;  Wang, Huaqiao;  Chan, In Neng;  Wang, Jiangtao; et al.
Favorite | TC[WOS]:14 TC[Scopus]:22  IF:4.9/4.9 | Submit date：2022/03/28
Attention Mechanism  Chest Computed Tomography  Covid-19  Multi-scale Convolution Neural Network  Pneumonia Identification  
Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network Journal article
Wong, P. K., Yan, T., Wang, H.Q., Chan, I.N., Wang, J.T., Li, Y., Ren, H., Wong, C.H.. Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network[J]. Biomedical Signal Processing and Control (SCI-E) (Published online), 2021, 1-11.
Authors:  Wong, P. K.;  Yan, T.;  Wang, H.Q.;  Chan, I.N.;  Wang, J.T.; et al.
Favorite |   IF:4.9/4.9 | Submit date：2022/08/25
COVID-19  Pneumonia identification  Multi-scale convolution neural network  Attention mechanism  Chest computed tomography  
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Review article
2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite | TC[WOS]:150 TC[Scopus]:130  IF:7.9/8.3 | Submit date：2021/03/09
Graph Neural Networks  Gnns  Graph Convolution Network  Gcn  Graph  Deep Learning  Traffic Forecasting  Traffic Domain  Its