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Efficient constraint learning for data-driven active distribution network operation Journal article
Ge Chen, Hongcai Zhang, Yonghua Song. Efficient constraint learning for data-driven active distribution network operation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1472-1484.
Authors:  Ge Chen;  Hongcai Zhang;  Yonghua Song
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:6.5/7.4 | Submit date：2023/07/12
Active Distribution Networks  Deep Learning  Renewable Generation  Optimal Power Flow  Flexible Sources  
Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data Journal article
Yonghua Song, Ge Chen, Hongcai Zhang. Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1), 51-65.
Authors:  Yonghua Song;  Ge Chen;  Hongcai Zhang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.9 | Submit date：2024/04/24
Deep Learning  Demand Response  Distribution Networks  Imbalanced Data  Optimal Power Flow  
Emergency Control Method of Multi-Modal Passenger Flow in Urban Rail Transit Journal article
Zhu, Guangyu, Mu, Liang, Sun, Ranran, Zhang, Nuo, Wu, Bo, Zhang, Peng, Law, Rob. Emergency Control Method of Multi-Modal Passenger Flow in Urban Rail Transit[J]. IEEE Transactions on Automation Science and Engineering, 2023, 1 - 11.
Authors:  Zhu, Guangyu;  Mu, Liang;  Sun, Ranran;  Zhang, Nuo;  Wu, Bo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/6.0 | Submit date：2024/02/22
Emergency Control  Multi-agent Deep Reinforcement Learning  Multi-modal Passenger Flow  Urban Rail Transit  
Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network Journal article
Hao Sun, Fanghu Wang, Yuling Yang, Xiaotong Hong, Weiping Xu, Shuxia Wang, Greta S. P. Mok, Lijun Lu. Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network[J]. European Journal of Nuclear Medicine and Molecular Imaging, 2023, 50(12), 3630-3646.
Authors:  Hao Sun;  Fanghu Wang;  Yuling Yang;  Xiaotong Hong;  Weiping Xu; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:8.6/8.2 | Submit date：2023/08/03
Attenuation Correction  Deep Learning  Myocardial Blood Flow  Myocardial Perfusion Pet  Transfer Learning  
STGlow: A Flow-Based Generative Framework With Dual-Graphormer for Pedestrian Trajectory Prediction Journal article
Rongqin Liang, Yuanman Li, Jiantao Zhou, Xia Li. STGlow: A Flow-Based Generative Framework With Dual-Graphormer for Pedestrian Trajectory Prediction[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023.
Authors:  Rongqin Liang;  Yuanman Li;  Jiantao Zhou;  Xia Li
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:10.2/10.4 | Submit date：2023/08/28
Attention Mechanism  Deep Neural Network  Generative Flow  Graph Learning  Trajectory Prediction  
Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation Journal article
Ge Chen, Hongcai Zhang, Hongxun Hui ,, Yonghua Song. Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation[J]. IEEE Transactions on Sustainable Energy, 2022, 14(1), 657-672.
Authors:  Ge Chen;  Hongcai Zhang;  Hongxun Hui ,;  Yonghua Song
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:8.6/8.6 | Submit date：2023/01/30
Deep Quantile Regression  Distributed Renewable Generation  Distribution Network  Joint Chance Constraints  Optimal Power Flow  
Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility Journal article
Chen, Zhi Wei, Ruan, Xu Zhi, Liu, Kui Ming, Yan, Wang Ji, Liu, Jian Tao, Ye, Dai Cheng. Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility[J]. Advances in Structural Engineering, 2022, 25(13), 2722-2737.
Authors:  Chen, Zhi Wei;  Ruan, Xu Zhi;  Liu, Kui Ming;  Yan, Wang Ji;  Liu, Jian Tao; et al.
Favorite | TC[WOS]:11 TC[Scopus]:11  IF:2.1/2.4 | Submit date：2022/08/05
Optical Flow  Automated Peak Picking  Computer Vision  Deep Learning  Vibration Measurement  
Adaptive traffic signal management method combining deep learning and simulation Journal article
Mok, Kawai, Zhang, Liming. Adaptive traffic signal management method combining deep learning and simulation[J]. Multimedia Tools and Applications, 2022, 83(5), 15439-15459.
Authors:  Mok, Kawai;  Zhang, Liming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.0/2.9 | Submit date：2022/08/05
Deep Learning Based Vehicle Detection  Adaptive Traffic Signal Management  Traffic Data Acquisition  Traffic Flow Prediction  
A Multi-graph Convolutional Network Framework for Tourist Flow Prediction Journal article
Wang, Wei, Chen, Junyang, Zhang, Yushu, Gong, Zhiguo, Kumar, Neeraj, Wei, Wei. A Multi-graph Convolutional Network Framework for Tourist Flow Prediction[J]. ACM Transactions on Internet Technology, 2021, 21(4), 106.
Authors:  Wang, Wei;  Chen, Junyang;  Zhang, Yushu;  Gong, Zhiguo;  Kumar, Neeraj; et al.
Favorite | TC[WOS]:10 TC[Scopus]:14  IF:3.9/3.6 | Submit date：2021/12/08
Cyber Physical Systems  Deep Learning  Smart Tourism  Social Internet Of Things  Tourist Flow Prediction  
Influence of the Kuroshio Intrusion on Deep Flow Intraseasonal Variability in the Northern South China Sea Journal article
Qi Quan, Zhiqiang Liu, Shantong Sun, Zhongya Cai, Yang Yang, Guangzhen Jin, Zhibing Li, X. San Liang. Influence of the Kuroshio Intrusion on Deep Flow Intraseasonal Variability in the Northern South China Sea[J]. Journal of Geophysical Research: Oceans, 2021, 126(7).
Authors:  Qi Quan;  Zhiqiang Liu;  Shantong Sun;  Zhongya Cai;  Yang Yang; et al.
Adobe PDF | Favorite | TC[WOS]:17 TC[Scopus]:16  IF:3.3/4.2 | Submit date：2021/11/30
Deep Flow  Eddy  Energy  Kuroshio  South China Sea  Topographic Rossby Wave