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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, 2024, 35(11), 16504-16517.
Authors:  Rongqin Liang;  Yuanman Li;  Jiantao Zhou;  Xia Li
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:10.2/10.4 | Submit date：2023/08/28
Trajectory  Pedestrians  Behavioral Sciences  Task Analysis  Transformers  Data Models  Predictive Models  Attention Mechanism  Deep Neural Network  Generative Flow  Graph Learning  Trajectory Prediction  
Progressive normalizing flow with learnable spectrum transform for style transfer Journal article
He, Zixuan, Huang, Guoheng, Yuan, Xiaochen, Zhong, Guo, Pun, Chi Man, Zeng, Yiwen. Progressive normalizing flow with learnable spectrum transform for style transfer[J]. Knowledge-Based Systems, 2024, 284, 111277.
Authors:  He, Zixuan;  Huang, Guoheng;  Yuan, Xiaochen;  Zhong, Guo;  Pun, Chi Man; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.2/7.4 | Submit date：2024/02/22
Feature Decomposition  Feature Spectrum  Neural Flow  Progressive Stylization  Reversible Neural Network  Style Transfer  
Simulating and predicting the performance of a horizontal subsurface flow constructed wetland using a fully connected neural network Journal article
Pengyu Li, Tianlong Zheng, Lin Li, Xiuyuan Lv, WenJun Wu, Zhining Shi, Xiaoqin Zhou, Guangtao Zhang, Yingqun Ma, Junxin Liu. Simulating and predicting the performance of a horizontal subsurface flow constructed wetland using a fully connected neural network[J]. Journal of Cleaner Production, 2022, 380, 134959.
Authors:  Pengyu Li;  Tianlong Zheng;  Lin Li;  Xiuyuan Lv;  WenJun Wu; et al.
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:9.7/10.2 | Submit date：2023/02/27
Decentralized Wastewater Treatment  Fully Connected Neural Network  Horizontal Subsurface Flow Constructed Wetland  Machine Learning  
Scheduling thermostatically controlled loads to provide regulation capacity based on a learning-based optimal power flow model Journal article
Chen, Ge, Zhang, Hongcai, Hui, Hongxun, Dai, Ningyi, Song, Yonghua. Scheduling thermostatically controlled loads to provide regulation capacity based on a learning-based optimal power flow model[J]. IEEE Transactions on Sustainable Energy, 2021, 12(4), 2459-2470.
Authors:  Chen, Ge;  Zhang, Hongcai;  Hui, Hongxun;  Dai, Ningyi;  Song, Yonghua
Favorite | TC[WOS]:46 TC[Scopus]:54  IF:8.6/8.6 | Submit date：2021/09/09
Optimal Power Flow  Demand-side Feasibility  Regulation Capacity  Neural Network  Security Constraint  
Robust Forecasting of River-Flow Based on Convolutional Neural Network Journal article
Huang, Chao, Zhang, Jing, Cao, Longpeng, Wang, Long, Luo, Xiong, Wang, Jenq Haur, Bensoussan, Alain. Robust Forecasting of River-Flow Based on Convolutional Neural Network[J]. IEEE Transactions on Sustainable Computing, 2020, 5(4), 594-600.
Authors:  Huang, Chao;  Zhang, Jing;  Cao, Longpeng;  Wang, Long;  Luo, Xiong; et al.
Favorite | TC[WOS]:22 TC[Scopus]:24  IF:3.0/3.3 | Submit date：2021/12/06
Convolutional Neural Network  River-flow Forecasting  Robust Loss Function  Transfer Learning  
Off-line Customer Flow Forecast through Deep Neural Networks Conference paper
Zhang, X. F., Chen, X. Y., Dong, C.Y.. Off-line Customer Flow Forecast through Deep Neural Networks[C], 2018.
Authors:  Zhang, X. F.;  Chen, X. Y.;  Dong, C.Y.
Favorite |  | Submit date：2022/08/29
Off-line customer Flow Forecast  Time Series  Deep Neural Networks