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Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites Journal article
Lu, Yuhuan, Wang, Wei, Bai, Rufan, Zhou, Shengwei, Garg, Lalit, Bashir, Ali Kashif, Jiang, Weiwei, Hu, Xiping. Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites[J]. Information Fusion, 2025, 114, 102682.
Authors:  ; et al.
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:14.7/16.1 | Submit date：2025/01/22
Hypergraph Attention Networks  Intelligent Connected Vehicles  Interaction Modeling  Multi-modal Trajectory Prediction  
Altered Fingerprints Detection Based on Deep Feature Fusion Journal article
Xu, Chao, Yan, Yunfeng, Yang, Lehangyu, Li, Sheng, Feng, Guorui. Altered Fingerprints Detection Based on Deep Feature Fusion[J]. IEICE Transactions on Information and Systems, 2022, E105D(9), 1647-1651.
Authors:  Xu, Chao;  Yan, Yunfeng;  Yang, Lehangyu;  Li, Sheng;  Feng, Guorui
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0.6/0.6 | Submit date：2023/01/30
Altered Fingerprint  Connected Networks  Feature Fusion  Spectral Attention  
Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks Journal article
Lu, Yuhuan, Wang, Wei, Hu, Xiping, Xu, Pengpeng, Zhou, Shengwei, Cai, Ming. Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 24(8), 8452 - 8464.
Authors:  Lu, Yuhuan;  Wang, Wei;  Hu, Xiping;  Xu, Pengpeng;  Zhou, Shengwei; et al.
Favorite | TC[WOS]:32 TC[Scopus]:32  IF:7.9/8.3 | Submit date：2022/08/05
Trajectory  Vehicle Dynamics  Predictive Models  Convolutional Neural Networks  Roads  Feature Extraction  Dynamics  Traffic Big Data  Graph Neural Networks  Trajectory Prediction  Connected Vehicles  Interaction Context  
A cost-sensitive meta-learning classifier: SPFCNN-Miner Journal article
Zhao, Linchang, Shang, Zhaowei, Qin, Anyong, Zhang, Taiping, Zhao, Ling, Wei, Yu, Tang, Yuan Yan. A cost-sensitive meta-learning classifier: SPFCNN-Miner[J]. Future Generation Computer Systems, 2019, 100, 1031-1043.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Qin, Anyong;  Zhang, Taiping;  Zhao, Ling; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:6.2/5.9 | Submit date：2022/05/17
Meta Learning  Few-shot Learning  Cost-sensitive Learning  Machine Learning  Siamese Parallel Fully-connected Networks  Data Mining  
Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks Journal article
Zhao, Linchang, Shang, Zhaowei, Zhao, Ling, Zhang, Taiping, Tang, Yuan Yan. Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks[J]. Neurocomputing, 2019, 352, 64-74.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Zhao, Ling;  Zhang, Taiping;  Tang, Yuan Yan
Favorite | TC[WOS]:23 TC[Scopus]:35  IF:5.5/5.5 | Submit date：2022/05/17
Cost-sensitive Learning  Deep Learning  Few-shot Learning  Siamese Parallel Fully-connected Networks  Software Defect Prediction  
Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data Conference paper
LINCHANG ZHAO, ZHAOWEI SHANG, LING ZHAO, YU WEI, YUAN YAN TANG. Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data[C]:IEEE, 2019, 8946485.
Authors:  LINCHANG ZHAO;  ZHAOWEI SHANG;  LING ZHAO;  YU WEI;  YUAN YAN TANG
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
Cost-sensitive Learning  Data Mining  Machine Learning  Siamese Parallel Fully-connected Networks  
Mixed radix systems of fully connected neuro-fuzzy inference systems with special properties Conference paper
Wang J., Chen C.-T., Chen C.L.P., Yu Y.-Q.. Mixed radix systems of fully connected neuro-fuzzy inference systems with special properties[C], 2015, 105-109.
Authors:  Wang J.;  Chen C.-T.;  Chen C.L.P.;  Yu Y.-Q.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/11
Fully Connected Neuro-fuzzy System  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks  Neuro-fuzzy System  
A new learning algorithm for a fully connected neuro-fuzzy inference system Journal article
Chen C.L.P., Wang J., Wang C.-H., Chen L.. A new learning algorithm for a fully connected neuro-fuzzy inference system[J]. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(10), 1741-1757.
Authors:  Chen C.L.P.;  Wang J.;  Wang C.-H.;  Chen L.
Favorite | TC[WOS]:44 TC[Scopus]:48 | Submit date：2019/02/11
Fully Connected Neuro-fuzzy Inference Systems (F-confis)  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks (Nns)  Neuro-fuzzy System  Optimal Learning  
Mobility-assisted routing in intermittently connected mobile cognitive radio networks Journal article
Huang J., Wang S., Cheng X., Liu M., Li Z., Chen B.. Mobility-assisted routing in intermittently connected mobile cognitive radio networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(11), 2956.
Authors:  Huang J.;  Wang S.;  Cheng X.;  Liu M.;  Li Z.; et al.
Favorite | TC[WOS]:16 TC[Scopus]:20 | Submit date：2018/10/30
Intermittently Connected Networks  Mobile Ad-hoc Cognitive Radio Networks  Mobility-assisted Routing  
Opportunistic routing in intermittently connected mobile P2P networks Journal article
Wang S., Liu M., Cheng X., Li Z., Huang J., Chen B.. Opportunistic routing in intermittently connected mobile P2P networks[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(9), 369.
Authors:  Wang S.;  Liu M.;  Cheng X.;  Li Z.;  Huang J.; et al.
Favorite | TC[WOS]:45 TC[Scopus]:57 | Submit date：2018/10/30
Human Mobility  Intermittently Connected Mobile P2p Networks  Opportunistic Routing