Jianjia Wang

ORCID

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 56

Top Venues

University of York, UK (PHD)

Education History

University of York, UK

PHD

Publications

Xing Wu, Bin Tang, Ming Zhao, Jianjia Wang, Yike Guo
STR Transformer: A Cross-domain Transformer for Scene Text Recognition. Appl. Intell. 53 (3) (2023)
Xing Wu, Jingwen Li, Jianjia Wang, Quan Qian
Multimodal contrastive learning for radiology report generation. J. Ambient Intell. Humaniz. Comput. 14 (8) (2023)
Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Xing Wu, Jie Pei, Cheng Chen, Yimin Zhu, Jianjia Wang, Quan Qian, Jian Zhang, Qun Sun, Yike Guo
Federated Active Learning for Multicenter Collaborative Disease Diagnosis. IEEE Trans. Medical Imaging 42 (7) (2023)
Haodi Mao, Xing Wu, Jianjia Wang
Using Statistical Distribution to Identify the Influence Connections in Brain Networks. CyberC (2023)
Xing Wu, Chenjie Tao, Jian Zhang, Qun Sun, Jianjia Wang, Weimin Li, Yue Liu, Yike Guo
Space or time for video classification transformers. Appl. Intell. 53 (20) (2023)
Xing Wu, Ruixuan Li, Bin Deng, Ming Zhao, Xingyue Du, Jianjia Wang, Kai Ding
ASTT: acoustic spatial-temporal transformer for short utterance speaker recognition. Multim. Tools Appl. 82 (21) (2023)
Yutong Jiang, Xing Wu, Jianjia Wang
Urban Social Segregation with Quantum Walk Algorithm. CyberC (2023)
Haodi Mao, Xing Wu, Jianjia Wang
Trust Maintenance in IoT for Smart Cities with Complex Network Metrics. CyberC (2023)
Wenya Hu, Weimin Li, Xiaokang Zhou, Akira Kawai, Kaoru Fueda, Quan Qian, Jianjia Wang
Spatio-Temporal Graph Convolutional Networks via View Fusion for Trajectory Data Analytics. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Jianjia Wang, Edwin R. Hancock
Statistical structural inference from edge weights using a mixture of gamma distributions. J. Complex Networks 11 (5) (2023)
Weimin Li, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin
Coevolution modeling of group behavior and opinion based on public opinion perception. Knowl. Based Syst. 270 (2023)
Weimin Li, Lin Ni, Jianjia Wang, Can Wang
Collaborative representation learning for nodes and relations via heterogeneous graph neural network. Knowl. Based Syst. 255 (2022)
Xing Wu, Yisong Li, Jianjia Wang, Quan Qian, Yike Guo
UBAR: User Behavior-Aware Recommendation with knowledge graph. Knowl. Based Syst. 254 (2022)
Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo
FTAP: Feature transferring autonomous machine learning pipeline. Inf. Sci. 593 (2022)
Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian, Yike Guo
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition. Algorithms 15 (5) (2022)
Jianjia Wang, Cheng Guo, Xing Wu
Predicting Drug-Drug Interactions with Graph Attention Network. ICPR (2022)
Zhi Li, Xing Wu, Jianjia Wang, Yike Guo
Weather-degraded image semantic segmentation with multi-task knowledge distillation. Image Vis. Comput. 127 (2022)
Xing Wu, Yafei Zhang, Qing Li, Yangyang Qi, Jianjia Wang, Yike Guo
Face aging with pixel-level alignment GAN. Appl. Intell. 52 (13) (2022)
Xing Wu, Sihui Ji, Jianjia Wang, Yike Guo
Speech synthesis with face embeddings. Appl. Intell. 52 (13) (2022)
Jianjia Wang, Chong Wu
Data-driven Latent Graph Structure Learning for Diagnosis of Alzheimer's Syndrome. ICPR (2022)
Xing Wu, Yuan Zhang, Jianjia Wang, Yike Guo
TRCA: Text Restoration for Chinese ASR with BERT. SoMeT (2022)
Jianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock
Inferring Edges from Weights in the Debye Model. ICPR (2022)
Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock
Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. 114 (2021)
Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock
Statistical mechanical analysis for unweighted and weighted stock market networks. Pattern Recognit. 120 (2021)
Weimin Li, Kexin Zhong, Jianjia Wang, Dehua Chen
A dynamic algorithm based on cohesive entropy for influence maximization in social networks. Expert Syst. Appl. 169 (2021)
Xing Wu, Jianjia Wang, Peng Li, Xiliang Luo, Yang Yang
Internet of Things as Complex Networks. IEEE Netw. 35 (3) (2021)
Xing Wu, Jianjia Wang, Peng Wang, Zhaoxiang Bian, Tao Huang, Yike Guo, Hamido Fujita
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy. Appl. Soft Comput. 106 (2021)
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi
COVID-AL: The diagnosis of COVID-19 with deep active learning. Medical Image Anal. 68 (2021)
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang
HAL: Hybrid active learning for efficient labeling in medical domain. Neurocomputing 456 (2021)
Jianjia Wang, Xichen Wu, Mingrui Li
Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 23 (2) (2021)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Network edge entropy decomposition with spin statistics. Pattern Recognit. 118 (2021)
Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock
Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216. Entropy 23 (4) (2021)
Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock
Weighted Network Analysis Using the Debye Model. S+SSPR (2020)
Hui Wu, Jianjia Wang, Edwin R. Hancock
fMRI Brain Networks as Statistical Mechanical Ensembles. ICPR (2020)
Xing Wu, Zhaowang Liang, Jianjia Wang
FedMed: A Federated Learning Framework for Language Modeling. Sensors 20 (14) (2020)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Directed and undirected network evolution from Euler-Lagrange dynamics. Pattern Recognit. Lett. 134 (2020)
Xing Wu, Haolei Chen, Jianjia Wang, Luigi Troiano, Vincenzo Loia, Hamido Fujita
Adaptive stock trading strategies with deep reinforcement learning methods. Inf. Sci. 538 (2020)
Jianjia Wang, Hui Wu, Edwin R. Hancock
Thermal Characterisation of Unweighted and Weighted Networks. ICPR (2020)
Penghao Cai, Fuqian Yang, Jianjia Wang, Xing Wu, Yang Yang, Xiliang Luo
JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks. IEEE Internet Things J. 7 (4) (2020)
Xing Wu, Jing Duan, Mingyu Zhong, Peng Li, Jianjia Wang
VNF Chain Placement for Large Scale IoT of Intelligent Transportation. Sensors 20 (14) (2020)
Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88 (2019)
Xing Wu, Jianxing Xu, Jianjia Wang, Yufeng Li, Weimin Li, Yike Guo
Identity authentication on mobile devices using face verification and ID image recognition. ITQM (2019)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis. GbRPR (2019)
Jianjia Wang, Jiayu Huo, Lichi Zhang
Thermodynamic edge entropy in Alzheimer's disease. Pattern Recognit. Lett. 125 (2019)
Jianjia Wang, Chenyue Lin, Yilei Wang
Thermodynamic Entropy in Quantum Statistics for Stock Market Networks. Complex. 2019 (2019)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Directed Graph Evolution from Euler-Lagrange Dynamics. ICPR (2018)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Quantum Edge Entropy for Alzheimer's Disease Analysis. S+SSPR (2018)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Spin statistics, partition functions and network entropy. J. Complex Networks 5 (6) (2017)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Detecting Alzheimer's Disease Using Directed Graphs. GbRPR (2017)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Network Edge Entropy from Maxwell-Boltzmann Statistics. ICIAP (1) (2017)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Euler-Lagrange Network Dynamics. EMMCVPR (2017)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Minimising Entropy Changes in Dynamic Network Evolution. GbRPR (2017)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Thermodynamic Network Analysis with Quantum Spin Statistics. S+SSPR (2016)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Network entropy analysis using the Maxwell-Boltzmann partition function. ICPR (2016)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
fMRI Activation Network Analysis Using Bose-Einstein Entropy. S+SSPR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianjia Wang