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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  
Towards chemical accuracy using a multi-mesh adaptive finite element method in all-electron density functional theory Journal article
Kuang, Yang, Shen, Yedan, Hu, Guanghui. Towards chemical accuracy using a multi-mesh adaptive finite element method in all-electron density functional theory[J]. Journal of Computational Physics, 2024, 518, 113312.
Authors:  Kuang, Yang;  Shen, Yedan;  Hu, Guanghui
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.8/4.5 | Submit date：2024/08/31
Chemical Accuracy  Kohn-sham Equation  Adaptive Finite Element Method  Multi-mesh Method  
How does the Dunning-Kruger effect happen in creativity? The creative self-concept matters Journal article
Yang, Xiaomeng, Xu, Fanglei, Qin, Keyi, Yu, Yida, Zheng, Qishan, Zhu, Anqi, Hu, Biying, Gu, Chuanhua. How does the Dunning-Kruger effect happen in creativity? The creative self-concept matters[J]. Thinking Skills and Creativity, 2024, 54, 101638.
Authors:  Yang, Xiaomeng;  Xu, Fanglei;  Qin, Keyi;  Yu, Yida;  Zheng, Qishan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.5/4.1 | Submit date：2024/10/10
Creative Self-concept  Divergent Thinking  Dunning-kruger Effect  Metacognitive Judgment Accuracy  
Analysis and Design of a 21.2-to-25.5-GHz Triple-Coil Transformer-Coupled QVCO Journal article
Zhao, Ya, Fan, Chao, Yin, Jun, Mak, Pui In, Geng, Li. Analysis and Design of a 21.2-to-25.5-GHz Triple-Coil Transformer-Coupled QVCO[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2024, 71(10), 4538-4549.
Authors:  Zhao, Ya;  Fan, Chao;  Yin, Jun;  Mak, Pui In;  Geng, Li
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.2/4.5 | Submit date：2024/11/05
Quadrature Voltage-controlled Oscillator (Qvco)  Phase Noise  Quadrature Phase Accuracy  Triple-coil  Transformer-coupled  Determinate Correlation  Bimodal Ambiguity  Tradeoff  Active Coupling Transistor  Alleviate  
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  
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  
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks Conference paper
Han, Kai, Wang, Yunhe, Guo, Jianyuan, Wu, Enhua. ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks[C]:IEEE Computer Society, 2024, 15751-15761.
Authors:  Han, Kai;  Wang, Yunhe;  Guo, Jianyuan;  Wu, Enhua
Favorite | TC[Scopus]:6 | Submit date：2024/11/05
Convolutional Codes  Visualization  Computer Vision  Accuracy  Transformers  Pattern Recognition  
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  
A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming Journal article
Bi Suzhi, Chen Haoguo, Li Xian, Wang Shuoyao, Wu Yuan, Qian Liping. A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming[J]. IEEE Transactions on Mobile Computing, 2024, 1-17.
Authors:  Bi Suzhi;  Chen Haoguo;  Li Xian;  Wang Shuoyao;  Wu Yuan; et al.
Favorite | TC[Scopus]:1  IF:7.7/6.5 | Submit date：2024/08/26
Accuracy  Adaptive Streaming  Bit Rate  Deep Reinforcement Learning  Multi-access Edge Computing  Quality Of Experience  Quality Of Experience  Real-time Systems  Resists  Streaming Media  Wireless Communication