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CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media Journal article
Chen, Junyang, Guo, Jingcai, Li, Xueliang, Wang, Huan, Xu, Zhenghua, Gong, Zhiguo, Zhang, Liangjie, Leung, Victor C.M.. CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Chen, Junyang;  Guo, Jingcai;  Li, Xueliang;  Wang, Huan;  Xu, Zhenghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/11/05
Contrastive Graph Context Prediction  Sequential Learning  Social Media Short Text Representation Learning  Sparsity Problem  Text Mining  
Decoded EEG neurofeedback-guided cognitive reappraisal training for emotion regulation Journal article
Li, Linling, Gui, Xueying, Huang, Gan, Zhang, Li, Wan, Feng, Han, Xue, Wang, Jianhong, Ni, Dong, Liang, Zhen, Zhang, Zhiguo. Decoded EEG neurofeedback-guided cognitive reappraisal training for emotion regulation[J]. COGNITIVE NEURODYNAMICS, 2024.
Authors:  Li, Linling;  Gui, Xueying;  Huang, Gan;  Zhang, Li;  Wan, Feng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.1/3.5 | Submit date：2024/05/16
Cognitive Reappraisal  Decoded Neurofeedback  Electroencephalogram (Eeg)  Emotion Classification  Emotion Regulation  
Generalized Few-Shot Node Classification With Graph Knowledge Distillation Journal article
Wang, Jialong, Zhou, Mengting, Zhang, Shilong, Gong, Zhiguo. Generalized Few-Shot Node Classification With Graph Knowledge Distillation[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Wang, Jialong;  Zhou, Mengting;  Zhang, Shilong;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Few-shot Learning (Fsl)  Graph Neural Networks (Gnns)  Knowledge Distillation  Node Classification  
A Multi-classification Division-aggregation Framework for Fake News Detection Journal article
Zhang, Wen, Fu, Haitao, Wang, Huan, Gong, Zhiguo, Zhou, Pan, Wang, Di. A Multi-classification Division-aggregation Framework for Fake News Detection[J]. IEEE Transactions on Big Data, 2024, 1-11.
Authors:  Zhang, Wen;  Fu, Haitao;  Wang, Huan;  Gong, Zhiguo;  Zhou, Pan; et al.
Favorite | TC[Scopus]:1  IF:7.5/5.8 | Submit date：2024/05/16
Fake News Detection  Classification-specifical Model  Truth Discovery  Multi-classification Knowledge  
Right Frontal Gamma Transcranial Alternating Current Stimulation Modulates Optimism Biases Journal article
Yao, Ziqing, Wei, Jinwen, Huang, Gan, Li, Linling, Liang, Zhen, Zhang, Li, Wu, Haiyan, Yuan, Tifei, Zhang, Zhiguo, Hu, Xiaoqing. Right Frontal Gamma Transcranial Alternating Current Stimulation Modulates Optimism Biases[J]. Neuroscience Bulletin, 2024.
Authors:  Yao, Ziqing;  Wei, Jinwen;  Huang, Gan;  Li, Linling;  Liang, Zhen; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/5.4 | Submit date：2024/11/05
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation Journal article
Chen, Junyang, Wang, Mengzhu, Zhang, Haodi, Xu, Zhenghua, Li, Xueliang, Gong, Zhiguo, Wu, Kaishun, Leung, Victor C.M.. IRLM: Inductive Representation Learning Model for Personalized POI Recommendation[J]. IEEE Transactions on Computational Social Systems, 2023, 10(5), 2827-2836.
Authors:  Chen, Junyang;  Wang, Mengzhu;  Zhang, Haodi;  Xu, Zhenghua;  Li, Xueliang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:4.5/4.6 | Submit date：2023/01/30
Inductive Representation Learning  Location-based Social Network (Lsbn)  Poi Recommendation  Smart Cities  Representation Learning  Feature Extraction  Trajectory  Training  Standards  Social Networking (Online)  Smart Cities  
Closed-form Robust Adaptive Beamforming for Sparse Diversely Polarized Antenna Array Conference paper
Yue Yaxing, Zhang Zongyu, Zhou Chengwei, Wu Yuan, Xing Fangyuan, Shi Zhiguo. Closed-form Robust Adaptive Beamforming for Sparse Diversely Polarized Antenna Array[C], 2023.
Authors:  Yue Yaxing;  Zhang Zongyu;  Zhou Chengwei;  Wu Yuan;  Xing Fangyuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/02/22
Polynomial Rooting  Robust Adaptive Beamforming  Sparse Diversely Polarized Antenna Array  
A 2.7 W AC-Coupled Hybrid Supply Modulator Achieving 200 MHz Envelope-Tracking Bandwidth for 5G New Radio Power Amplifier Journal article
Peng Xu, Xueli Zhang, Peng Cao, Tingting Wei, Zhiguo Tong, Xiaoyang Zeng, Jiawei Xu, Zhiliang Hong. A 2.7 W AC-Coupled Hybrid Supply Modulator Achieving 200 MHz Envelope-Tracking Bandwidth for 5G New Radio Power Amplifier[J]. IEEE Transactions on Power Electronics, 2023, 38(6), 7416-7427.
Authors:  Peng Xu;  Xueli Zhang;  Peng Cao;  Tingting Wei;  Zhiguo Tong; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:6.6/6.9 | Submit date：2023/07/26
5g New Radio (Nr)  Envelope Tracking (Et)  Hy- Brid Supply Modulator  Power Amplifier (Pa)  Wideband Transmitter  
Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback Journal article
Li,Linling, Li,Yutong, Li,Zhaoxun, Huang,Gan, Liang,Zhen, Zhang,Li, Wan,Feng, Shen,Manjun, Han,Xue, Zhang,Zhiguo. Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback[J]. Cognitive Neurodynamics, 2023, 18(3), 847-862.
Authors:  Li,Linling;  Li,Yutong;  Li,Zhaoxun;  Huang,Gan;  Liang,Zhen; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.1/3.5 | Submit date：2023/08/03
Frontal Alpha Asymmetry  Neurofeedback  Eeg  Mri  Brain Network  
A Simple yet Effective Layered Loss for Pre-training of Network Embedding Journal article
Chen, Junyang, Li, Xueliang, Li, Yuanman, Li, Paul, Wang, Mengzhu, Zhang, Xiang, Gong, Zhiguo, Wu, Kaishun, Leung, Victor C.M.. A Simple yet Effective Layered Loss for Pre-training of Network Embedding[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(3), 1827 - 1837.
Authors:  Chen, Junyang;  Li, Xueliang;  Li, Yuanman;  Li, Paul;  Wang, Mengzhu; et al.
Favorite | TC[WOS]:6 TC[Scopus]:3  IF:6.7/6.0 | Submit date：2022/05/17
Graph Neural Networks  Layered Loss  Network Embedding  Pre-training Of Unlabeled Nodes