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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  
Federated Learning-Empowered AI-Generated Content in Wireless Networks Journal article
Huang Xumin, Li Peichun, Du Hongyang, Kang Jiawen, Niyato Dusit, Kim Dong In, Wu Yuan. Federated Learning-Empowered AI-Generated Content in Wireless Networks[J]. IEEE Network, 2024, 38(5), 304-313.
Authors:  Huang Xumin;  Li Peichun;  Du Hongyang;  Kang Jiawen;  Niyato Dusit; et al.
Favorite | TC[WOS]:16 TC[Scopus]:32  IF:6.8/8.5 | Submit date：2024/05/16
Adaptation Models  Aigc  Computational Modeling  Data Models  Deep Learning  Federated Learning  Generative Adversarial Networks  Stable Diffusion  Task Analysis  Training  Transformers  Wireless Networks  
Deep Reinforcement Learning for Integrated Sensing and Communication in RIS-assisted 6G V2X System Journal article
Long, Xudong, Zhao, Yubin, Wu, Huaming, Xu, Cheng Zhong. Deep Reinforcement Learning for Integrated Sensing and Communication in RIS-assisted 6G V2X System[J]. IEEE Internet of Things Journal, 2024.
Authors:  Long, Xudong;  Zhao, Yubin;  Wu, Huaming;  Xu, Cheng Zhong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.2/9.0 | Submit date：2024/10/10
6g Mobile Communication  6g V2x  Accuracy  Array Signal Processing  Channel Models  Deep Reinforcement Learning  Fisher Information Matrix  Integrated Sensing And Communication  Isac  Optimization  Reconfigurable Intelligent Surface  Vehicle-to-everything  
Typhoon Track Image Prediction Using a Comprehensive LSTM Attention Model in Deep Learning Conference paper
Jiang, Yiping, Yu, Yi, Ma, Yuelong, Zhuang, Jiahao, Ye, Xianze, Yuan, Yifeng, Su, Guanpeng. Typhoon Track Image Prediction Using a Comprehensive LSTM Attention Model in Deep Learning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 537-541.
Authors:  Jiang, Yiping;  Yu, Yi;  Ma, Yuelong;  Zhuang, Jiahao;  Ye, Xianze; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/06/05
Deep Learning  Tropical Cyclones  Disasters  Predictive Models  Data Models  Trajectory  Risk Management  Typhoon Track Image Prediction  Lstm  Attention Mechanism  
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models Journal article
Zhenyi Wang, Hongcai Zhang. Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models[J]. IEEE Transactions on Smart Grid, 2024, 15(4), 10438078.
Authors:  Zhenyi Wang;  Hongcai Zhang
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:8.6/9.6 | Submit date：2024/04/24
Analytical Models  Conditional Diffusion Models  Data Analytics Applications  Data Models  Deep Generative Model  Load Modeling  Load Profiles Synthesis  Mathematical Models  Numerical Models  Power Systems  Task Analysis  
Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression Journal article
Duan, Junwei, Yao, Shiyi, Tan, Jiantao, Liu, Yang, Chen, Long, Zhang, Zhen, Chen, C. L.P.. Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Duan, Junwei;  Yao, Shiyi;  Tan, Jiantao;  Liu, Yang;  Chen, Long; et al.
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/05/16
Broad Learning System (Bls)  Classification  Deep Neural Network  Feature Extraction  Frequency Principle  Fuzzy Extreme Learning Machine (Elm)  Learning Systems  Mathematical Models  Neural Networks  Regression  Stacking  Task Analysis  Training  
The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking Journal article
Ye,Shuo, Wang,Yu, Peng,Qinmu, You,Xinge, Philip Chen,C. L.. The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(1), 2-16.
Authors:  Ye,Shuo;  Wang,Yu;  Peng,Qinmu;  You,Xinge;  Philip Chen,C. L.
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:8.3/7.1 | Submit date：2023/08/03
Training  Annotations  Visualization  Data Models  Birds  Automobiles  Analytical Models  Fine-grained Visual Categorization  Deep Learning  Weakly Supervised Learning  
When Virtual Network Operator Meets E-Commerce Platform: Advertising via Data Reward Journal article
Qi Cheng, Hangguan Shan, Weihua Zhuang, Tony Quek, Zhaoyang Zhang, Fen Hou. When Virtual Network Operator Meets E-Commerce Platform: Advertising via Data Reward[J]. IEEE Transactions on Mobile Computing, 2023, 22(12), 7370 - 7386.
Authors:  Qi Cheng;  Hangguan Shan;  Weihua Zhuang;  Tony Quek;  Zhaoyang Zhang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.7/6.5 | Submit date：2022/08/31
Virtual Network Operator  E-commerce Platform  Data Reward  Stackelberg Game  Deep Q-network  Network Economics  Games  Electronic Commerce  Advertising  Business  Data Models  Nash Equilibrium  Heuristic Algorithms  
Deep Generative Imputation Model for Missing Not At Random Data Conference paper
Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang. Deep Generative Imputation Model for Missing Not At Random Data[C]:ASSOC COMPUTING MACHINERY1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, 2023, 316 - 325.
Authors:  Jialei Chen;  Yuanbo Xu;  Pengyang Wang;  Yongjian Yang
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2023/12/13
Deep Generative Models  Imputation  Missing Data  Missing Not At Random  Variational Autoencoder  
Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment Journal article
Lan,Xuting, Zhou,Mingliang, Xu,Xueyong, Wei,Xuekai, Liao,Xingran, Pu,Huayan, Luo,Jun, Xiang,Tao, Fang,Bin, Shang,Zhaowei. Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment[J]. IEEE Transactions on Broadcasting, 2023, 69(3), 801-811.
Authors:  Lan,Xuting;  Zhou,Mingliang;  Xu,Xueyong;  Wei,Xuekai;  Liao,Xingran; et al.
Favorite | TC[WOS]:16 TC[Scopus]:20  IF:3.2/3.6 | Submit date：2023/08/03
Blind Image Quality Assessment  Deep Learning  Distortion  Feature Extraction  Feature Extraction  Generative Adversarial Networks  Image Quality  Multilevel Feature Fusion  Predictive Models  Semantics