Jianjia Wang

65 papers B 7C 1Journal 37Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bilevel Consensus in Large-Scale Group Decision Making: Integrating Structural Holes and Community Dynamics.
IEEE Trans. Fuzzy Syst.
Zhen Hua, Shijie Xu, Jianjia Wang, Jingxuan Liu, Luis Martínez-López
2025 — conf
Fuzzy Statistical Analysis on Complex Network Characterisation: Bridging the Ihara Zeta Function and Thermodynamic Partition Functions.
FUZZ
Jianjia Wang, Edwin R. Hancock
2024 — conf
Candidate Evaluation with Multimodal Data-Driven for Recruitment.
ICPR (8)
Xing Wu, Kehong Liu, Jianjia Wang, Junfeng Yao, Bin Deng, Rongqi Lv, Jun Song
2024 J jnl
Construction of Gene Expression Patterns to Identify Critical Genes Under SARS-CoV-2 Infection Conditions.
IEEE Trans. Comput. Biol. Bioinform.
Xiao Yu, Weimin Li, Jianjia Wang, Xing Wu, Bin Sheng
2024 — conf
DGPDHGCN: A Heterogeneous Graph Convolutional Network Method for Predicting Drug-Disease Associations.
BIBM
Haoran Zhu, Tong Yu, Ling Ge, Jianjia Wang
2024 — conf
Explore Statistical Properties of Undirected Unweighted Networks from Ensemble Models.
ICPR (27)
Xunda Zhao, Xing Wu, Jianjia Wang
2024 — conf
Quantifying Racial Segregation Through Continuous-Time Quantum Walks.
ICPR (10)
Yutong Jiang, Xing Wu, Jianjia Wang
2024 — conf
STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting.
ICPR (5)
Xing Wu, Chengyou Cai, Xiaoxiao Wang, Jianjia Wang, Junfeng Yao, Quan Qian, Jun Song
2023 J jnl
ASTT: acoustic spatial-temporal transformer for short utterance speaker recognition.
Multim. Tools Appl.
Xing Wu, Ruixuan Li, Bin Deng, Ming Zhao, Xingyue Du, Jianjia Wang, Kai Ding
2023 J jnl
Coevolution modeling of group behavior and opinion based on public opinion perception.
Knowl. Based Syst.
Weimin Li, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin
2023 J jnl
Federated Active Learning for Multicenter Collaborative Disease Diagnosis.
IEEE Trans. Medical Imaging
Xing Wu, Jie Pei, Cheng Chen, Yimin Zhu, Jianjia Wang, Quan Qian, Jian Zhang, Qun Sun, Yike Guo
2023 J jnl
Graph Motif Entropy for Understanding Time-Evolving Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
2023 J jnl
Multimodal contrastive learning for radiology report generation.
J. Ambient Intell. Humaniz. Comput.
Xing Wu, Jingwen Li, Jianjia Wang, Quan Qian
2023 J jnl
STR Transformer: A Cross-domain Transformer for Scene Text Recognition.
Appl. Intell.
Xing Wu, Bin Tang, Ming Zhao, Jianjia Wang, Yike Guo
2023 J jnl
Space or time for video classification transformers.
Appl. Intell.
Xing Wu, Chenjie Tao, Jian Zhang, Qun Sun, Jianjia Wang, Weimin Li, Yue Liu, Yike Guo
2023 J jnl
Spatio-Temporal Graph Convolutional Networks via View Fusion for Trajectory Data Analytics.
IEEE Trans. Intell. Transp. Syst.
Wenya Hu, Weimin Li, Xiaokang Zhou, Akira Kawai, Kaoru Fueda, Quan Qian, Jianjia Wang
2023 J jnl
Statistical structural inference from edge weights using a mixture of gamma distributions.
J. Complex Networks
Jianjia Wang, Edwin R. Hancock
2023 — conf
Trust Maintenance in IoT for Smart Cities with Complex Network Metrics.
CyberC
Haodi Mao, Xing Wu, Jianjia Wang
2023 — conf
Urban Social Segregation with Quantum Walk Algorithm.
CyberC
Yutong Jiang, Xing Wu, Jianjia Wang
2023 — conf
Using Statistical Distribution to Identify the Influence Connections in Brain Networks.
CyberC
Haodi Mao, Xing Wu, Jianjia Wang
2022 J jnl
Collaborative representation learning for nodes and relations via heterogeneous graph neural network.
Knowl. Based Syst.
Weimin Li, Lin Ni, Jianjia Wang, Can Wang
2022 B conf
Data-driven Latent Graph Structure Learning for Diagnosis of Alzheimer's Syndrome.
ICPR
Jianjia Wang, Chong Wu
2022 J jnl
FTAP: Feature transferring autonomous machine learning pipeline.
Inf. Sci.
Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo
2022 J jnl
Face aging with pixel-level alignment GAN.
Appl. Intell.
Xing Wu, Yafei Zhang, Qing Li, Yangyang Qi, Jianjia Wang, Yike Guo
2022 B conf
Inferring Edges from Weights in the Debye Model.
ICPR
Jianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock
2022 J jnl
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition.
Algorithms
Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian, Yike Guo
2022 B conf
Predicting Drug-Drug Interactions with Graph Attention Network.
ICPR
Jianjia Wang, Cheng Guo, Xing Wu
2022 J jnl
Speech synthesis with face embeddings.
Appl. Intell.
Xing Wu, Sihui Ji, Jianjia Wang, Yike Guo
2022 C conf
TRCA: Text Restoration for Chinese ASR with BERT.
SoMeT
Xing Wu, Yuan Zhang, Jianjia Wang, Yike Guo
2022 J jnl
UBAR: User Behavior-Aware Recommendation with knowledge graph.
Knowl. Based Syst.
Xing Wu, Yisong Li, Jianjia Wang, Quan Qian, Yike Guo
2022 J jnl
Weather-degraded image semantic segmentation with multi-task knowledge distillation.
Image Vis. Comput.
Zhi Li, Xing Wu, Jianjia Wang, Yike Guo
2021 J jnl
A dynamic algorithm based on cohesive entropy for influence maximization in social networks.
Expert Syst. Appl.
Weimin Li, Kexin Zhong, Jianjia Wang, Dehua Chen
2021 J jnl
COVID-AL: The diagnosis of COVID-19 with deep active learning.
Medical Image Anal.
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi
2021 J jnl
Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216.
Entropy
Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock
2021 J jnl
HAL: Hybrid active learning for efficient labeling in medical domain.
Neurocomputing
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang
2021 J jnl
Internet of Things as Complex Networks.
IEEE Netw.
Xing Wu, Jianjia Wang, Peng Li, Xiliang Luo, Yang Yang
2021 J jnl
Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease.
Entropy
Jianjia Wang, Xichen Wu, Mingrui Li
2021 J jnl
Network edge entropy decomposition with spin statistics.
Pattern Recognit.
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2021 J jnl
Statistical mechanical analysis for unweighted and weighted stock market networks.
Pattern Recognit.
Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock
2021 J jnl
Thermodynamic motif analysis for directed stock market networks.
Pattern Recognit.
Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock
2021 J jnl
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy.
Appl. Soft Comput.
Xing Wu, Jianjia Wang, Peng Wang, Zhaoxiang Bian, Tao Huang, Yike Guo, Hamido Fujita
2020 J jnl
Adaptive stock trading strategies with deep reinforcement learning methods.
Inf. Sci.
Xing Wu, Haolei Chen, Jianjia Wang, Luigi Troiano, Vincenzo Loia, Hamido Fujita
2020 J jnl
Directed and undirected network evolution from Euler-Lagrange dynamics.
Pattern Recognit. Lett.
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2020 J jnl
FedMed: A Federated Learning Framework for Language Modeling.
Sensors
Xing Wu, Zhaowang Liang, Jianjia Wang
2020 J jnl
JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks.
IEEE Internet Things J.
Penghao Cai, Fuqian Yang, Jianjia Wang, Xing Wu, Yang Yang, Xiliang Luo
2020 B conf
Thermal Characterisation of Unweighted and Weighted Networks.
ICPR
Jianjia Wang, Hui Wu, Edwin R. Hancock
2020 J jnl
VNF Chain Placement for Large Scale IoT of Intelligent Transportation.
Sensors
Xing Wu, Jing Duan, Mingyu Zhong, Peng Li, Jianjia Wang
2020 — conf
Weighted Network Analysis Using the Debye Model.
S+SSPR
Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock
2020 B conf
fMRI Brain Networks as Statistical Mechanical Ensembles.
ICPR
Hui Wu, Jianjia Wang, Edwin R. Hancock
2019 — conf
Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis.
GbRPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2019 — conf
Identity authentication on mobile devices using face verification and ID image recognition.
ITQM
Xing Wu, Jianxing Xu, Jianjia Wang, Yufeng Li, Weimin Li, Yike Guo
2019 J jnl
Quantum-based subgraph convolutional neural networks.
Pattern Recognit.
Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock
2019 J jnl
Thermodynamic Entropy in Quantum Statistics for Stock Market Networks.
Complex.
Jianjia Wang, Chenyue Lin, Yilei Wang
2019 J jnl
Thermodynamic edge entropy in Alzheimer's disease.
Pattern Recognit. Lett.
Jianjia Wang, Jiayu Huo, Lichi Zhang
2018 B conf
Directed Graph Evolution from Euler-Lagrange Dynamics.
ICPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2018 — conf
Quantum Edge Entropy for Alzheimer's Disease Analysis.
S+SSPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2018 — —
Statistical mechanics for network structure and evolution.
Jianjia Wang
2017 — conf
Detecting Alzheimer's Disease Using Directed Graphs.
GbRPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2017 — conf
Euler-Lagrange Network Dynamics.
EMMCVPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2017 — conf
Minimising Entropy Changes in Dynamic Network Evolution.
GbRPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2017 — conf
Network Edge Entropy from Maxwell-Boltzmann Statistics.
ICIAP (1)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2017 J jnl
Spin statistics, partition functions and network entropy.
J. Complex Networks
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2016 B conf
Network entropy analysis using the Maxwell-Boltzmann partition function.
ICPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2016 — conf
Thermodynamic Network Analysis with Quantum Spin Statistics.
S+SSPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
2016 — conf
fMRI Activation Network Analysis Using Bose-Einstein Entropy.
S+SSPR
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock