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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  
Fourier-Deformable Convolution Network for Road Segmentation from Remote Sensing Images Journal article
Liu, Huajun, Zhou, Xinyu, Wang, Cailing, Chen, Suting, Kong, Hui. Fourier-Deformable Convolution Network for Road Segmentation from Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 4415117.
Authors:  Liu, Huajun;  Zhou, Xinyu;  Wang, Cailing;  Chen, Suting;  Kong, Hui
Favorite | TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/11/05
Fourier-deformable Convolution Network  Remote Sensing Images  Road Segmentation  Saliency-aware Deformable Convolution (Sd-conv)  
Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network Journal article
Tang, Jingwei, Liu, Zhi, Hu, Jianming. Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(3), 1946-1956.
Authors:  Tang, Jingwei;  Liu, Zhi;  Hu, Jianming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.6/8.6 | Submit date：2024/05/16
Time Zigzag  Flexible Convolution  Graph Convolutional Network  Heavy-tail Quantile Function  
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  
Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network Journal article
Fei, Lunke, Zhao, Shuping, Jia, Wei, Zhang, Bob, Wen, Jie, Xu, Yong. Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(12), 9783 - 9794.
Authors:  Fei, Lunke;  Zhao, Shuping;  Jia, Wei;  Zhang, Bob;  Wen, Jie; et al.
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:10.2/10.4 | Submit date：2022/05/17
Biometrics  Compact Convolution Network  Joint Feature Learning  Palmprint Recognition  
Multi-view dynamic graph convolution neural network for traffic flow prediction Journal article
Huang,Xiaohui, Ye,Yuming, Yang,Xiaofei, Xiong,Liyan. Multi-view dynamic graph convolution neural network for traffic flow prediction[J]. Expert Systems with Applications, 2023, 222, 119779.
Authors:  Huang,Xiaohui;  Ye,Yuming;  Yang,Xiaofei;  Xiong,Liyan
Favorite | TC[WOS]:25 TC[Scopus]:27  IF:7.5/7.6 | Submit date：2023/08/03
Dynamic Fusion  Graph Convolution Network  Multi-view Encoder–decoders  Traffic Flow Prediction  
A Novel Fault Diagnosis Method for Rotor-Bearing System Based on Instantaneous Orbit Fusion Feature Image and Deep Convolutional Neural Network Journal article
Cui, Xiaolong, Wu, Yifan, Zhang, Xiaoyuan, Huang, Jie, Wong, Pak Kin, Li, Chaoshun. A Novel Fault Diagnosis Method for Rotor-Bearing System Based on Instantaneous Orbit Fusion Feature Image and Deep Convolutional Neural Network[J]. IEEE/ASME Transactions on Mechatronics, 2023, 28(2), 0113-1024.
Authors:  Cui, Xiaolong;  Wu, Yifan;  Zhang, Xiaoyuan;  Huang, Jie;  Wong, Pak Kin; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:6.1/6.2 | Submit date：2023/01/30
Convolution  Deep Convolutional Network  Fault Diagnosis  Fault Diagnosis  Feature Extraction  Fusion Feature Images  Instantaneous Orbit Features (Iof)  Machinery  Mechatronics  Orbits  Rotor-bearing System  Transfer Learning (Tl)  Vibrations  
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  
Efficient Image Super-Resolution Using Vast-Receptive-Field Attention Conference paper
Zhou,Lin, Cai,Haoming, Gu,Jinjin, Li,Zheyuan, Liu,Yingqi, Chen,Xiangyu, Qiao,Yu, Dong,Chao. Efficient Image Super-Resolution Using Vast-Receptive-Field Attention[C]. Tomer Michaeli, Leonid Karlinsky, Ko Nishino:Springer Science and Business Media Deutschland GmbH, 2023, 256-272.
Authors:  Zhou,Lin;  Cai,Haoming;  Gu,Jinjin;  Li,Zheyuan;  Liu,Yingqi; et al.
Favorite | TC[Scopus]:41 | Submit date：2023/08/03
Attention Mechanism  Deep Convolution Network  Image Super-resolution  
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