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Deep learning model for solar and wind energy forecasting considering Northwest China as an example Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:  Li, Pengyu;  Yang, Huiyu;  Wu, Han;  Wang, Yujia;  Su, Hao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/5.6 | Submit date：2024/10/10
Attention-based Spatial-temporal Graph Neural Network  Deep Learning  Long Short-term Memory  Solar Energy  Wind Energy  
SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism Journal article
Chen, Huaqiang, Tan, Weiqiang, Guo, Jiajia, Yang, Feiran. SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism[J]. Physical Communication, 2024, 67, 102516.
Authors:  Chen, Huaqiang;  Tan, Weiqiang;  Guo, Jiajia;  Yang, Feiran
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.0/1.7 | Submit date：2024/11/05
Massive Mimo  Csi Feedback  Deep Learning  Neural Network  Attention Mechanism  
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 18.7 TOPS/mm 2 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh Journal article
Zhan, Yi, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. A 28-nm 18.7 TOPS/mm 2 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh[J]. IEEE Journal of Solid-State Circuits, 2024, 59(11), 3866-3876.
Authors:  Zhan, Yi;  Yu, Wei Han;  Un, Ka Fai;  Martins, Rui P.;  Mak, Pui In
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/05/16
Compute-in-memory (Cim)  Deep Neural Network (Dnn)  Embedded Dynamic Random Access Memory (Edram)  Input-sparsity  Single-finger (Sf)  Weight Update/refresh  
DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training Journal article
Zhou, Haoran, Rang, Wei, Chen, Hongyang, Zhou, Xiaobo, Cheng, Dazhao. DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1920-1935.
Authors:  Zhou, Haoran;  Rang, Wei;  Chen, Hongyang;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Deep Neural Network Training  Heterogeneous Memory  Memory Management  Performance Optimization  
Force Feedback Event Triggering-Based Tracking Control for Wheeled Mobile Robots Journal article
Li, Shu, Ren, Tao, Liu, Yan Jun, Liu, Lei, Wan, Feng. Force Feedback Event Triggering-Based Tracking Control for Wheeled Mobile Robots[J]. IEEE Transactions on Automation Science and Engineering, 2024.
Authors:  Li, Shu;  Ren, Tao;  Liu, Yan Jun;  Liu, Lei;  Wan, Feng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/6.0 | Submit date：2024/11/05
Soft Deformable Terrain  Dynamic Event Triggering  Adaptive Neural Network  Wheeled Mobile Robot  Force Feedback  
Replicating Power Flow Constraints Using Only Smart Meter Data for Coordinating Flexible Sources in Distribution Network Journal article
Chen, Ge, Zhang, Hongcai, Qin, Junjie, Song, Yonghua. Replicating Power Flow Constraints Using Only Smart Meter Data for Coordinating Flexible Sources in Distribution Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(4), 2428-2443.
Authors:  Chen, Ge;  Zhang, Hongcai;  Qin, Junjie;  Song, Yonghua
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.6/8.6 | Submit date：2024/08/05
Neural Constraint Replication  Topology Identification  Distribution Network  Smart Meter Data  Distributed Energy Resources  
Module-based graph pooling for graph classification Journal article
Deng, Sucheng, Yang, Geping, Yang, Yiyang, Gong, Zhiguo, Chen, Can, Chen, Xiang, Hao, Zhifeng. Module-based graph pooling for graph classification[J]. Pattern Recognition, 2024, 154, 110606.
Authors:  Deng, Sucheng;  Yang, Geping;  Yang, Yiyang;  Gong, Zhiguo;  Chen, Can; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/06/05
Graph Classification  Graph Neural Network  Graph Pooling  
Fundamental Estimation for Tire Road Friction Coefficient: A Model-based Learning Framework Journal article
Wang, Yan, Yin, Guodong, Hang, Peng, Zhao, Jing, Lin, Yilun, Huang, Chao. Fundamental Estimation for Tire Road Friction Coefficient: A Model-based Learning Framework[J]. IEEE Transactions on Vehicular Technology, 2024.
Authors:  Wang, Yan;  Yin, Guodong;  Hang, Peng;  Zhao, Jing;  Lin, Yilun; et al.
Favorite | TC[Scopus]:0  IF:6.1/6.5 | Submit date：2024/11/05
Tire Road Friction Coefficient  Event-triggered Cubature Kalman Filtering  Extended Kalman Neural Network  
Point Cloud Compression with Implicit Neural Representations: A Unified Framework Conference paper
Ruan, Hongning, Shao, Yulin, Yang, Qianqian, Zhao, Liang, Niyato, Dusit. Point Cloud Compression with Implicit Neural Representations: A Unified Framework[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1709-1714.
Authors:  Ruan, Hongning;  Shao, Yulin;  Yang, Qianqian;  Zhao, Liang;  Niyato, Dusit
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Point Cloud Compression  Geometry  Learning Systems  Three-dimensional Displays  Quantization (Signal)  Neural Networks  Rate-distortion  Point Cloud Compression  Implicit Neural Representation  Neural Network Compression