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Neighbor Distribution Learning for Minority Class Augmentation Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/09/03
Training  Topology  Graph Neural Networks  Data Models  Accuracy  Task Analysis  Image Color Analysis  Class-imbalanced Learning  Data Mining  Node Classification  
Redundancy-free and load-balanced TGNN training with hierarchical pipeline parallelism Journal article
Xia, Yaqi, Zhang, Zheng, Yang, Donglin, Hu, Chuang, Zhou, Xiaobo, Chen, Hongyang, Sang, Qianlong, Cheng, Dazhao. Redundancy-free and load-balanced TGNN training with hierarchical pipeline parallelism[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1904-1919.
Authors:  Xia, Yaqi;  Zhang, Zheng;  Yang, Donglin;  Hu, Chuang;  Zhou, Xiaobo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Communication Balance  Distributed Training  Dynamic Gnn  Pipeline Parallelism  Redundancy-free  
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  
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  
Joint Sensing, Communication and Computation for Edge Intelligence Oriented Symbiotic Communication With Intelligent Reflecting Surface Journal article
Huang, Ning, Dou, Chenglong, Wu, Yuan, Qian, Liping. Joint Sensing, Communication and Computation for Edge Intelligence Oriented Symbiotic Communication With Intelligent Reflecting Surface[J]. IEEE Transactions on Cognitive Communications and Networking, 2024, 10(5), 1650-1662.
Authors:  Huang, Ning;  Dou, Chenglong;  Wu, Yuan;  Qian, Liping
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.4/6.9 | Submit date：2024/09/03
Sensors  Symbiosis  Wireless Sensor Networks  Wireless Communication  Backscatter  Internet Of Things  Training  Edge Intelligence  Symbiotic Communication  Intelligent Reflecting Surface  
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing Conference paper
Wu, Yebo, Li, Li, Tian, Chunlin, Chang, Tao, Lin, Chi, Wang, Cong, Xu, Cheng Zhong. Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Wu, Yebo;  Li, Li;  Tian, Chunlin;  Chang, Tao;  Lin, Chi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Federated Learning  Heterogeneous Memory  On-device Training  Training  Accuracy  Runtime  Perturbation Methods  Memory Management  Quality Of Service  
Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory Conference paper
Zhao, Chuanbing, Feng, Yuan, Gao, Feifei, Zhang, Yong, Ma, Shaodan, Poor, H. Vincent. Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 2077-2082.
Authors:  Zhao, Chuanbing;  Feng, Yuan;  Gao, Feifei;  Zhang, Yong;  Ma, Shaodan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Beam Prediction  Environment Sensing  Mmwave  Transfer Learning  Adaptation Models  Costs  Accuracy  Simulation  Training Data  Predictive Models  
Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results Conference paper
Li, Kehui, Zhou, Binggui, Guo, Jiajia, Yang, Xi, Xue, Qing, Gao, Feifei, Ma, Shaodan. Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Li, Kehui;  Zhou, Binggui;  Guo, Jiajia;  Yang, Xi;  Xue, Qing; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Beam Tracking  Computer Vision  Deep Learning  Massive Mimo  Prototype System  Training  Visualization  Vehicular And Wireless Technologies  Accuracy  Prototypes  Massive Mimo  
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks Conference paper
Zhan, Shichen, Wu, Yebo, Tian, Chunlin, Zhao, Yan, Li, Li. Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Zhan, Shichen;  Wu, Yebo;  Tian, Chunlin;  Zhao, Yan;  Li, Li
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2024/11/05
Federated Learning  Pre-training  Resource-efficient  Training  Performance Evaluation  Energy Consumption  Accuracy  Memory Management  Quality Of Service  
FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control Conference paper
Ma, Jialiang, Tian, Chunlin, Li, Li, Xu, Chengzhong. FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Ma, Jialiang;  Tian, Chunlin;  Li, Li;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2024/11/05
Training  Federated Learning  Velocity Control  Process Control  Collaboration  Quality Of Service  Distance Measurement  Autonomous Driving  Federated Learning  Control Optimization