Network entropy analysis using the Maxwell-Boltzmann partition function. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (ICPR, 2016)

Thermodynamic Network Analysis with Quantum Spin Statistics. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (S+SSPR, 2016)

fMRI Activation Network Analysis Using Bose-Einstein Entropy. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (S+SSPR, 2016)

Euler-Lagrange Network Dynamics. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (EMMCVPR, 2017)

Detecting Alzheimer's Disease Using Directed Graphs. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (GbRPR, 2017)

Minimising Entropy Changes in Dynamic Network Evolution. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (GbRPR, 2017)

Network Edge Entropy from Maxwell-Boltzmann Statistics. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (ICIAP (1), 2017)

Spin statistics, partition functions and network entropy. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (J. Complex Networks, 2017)

Directed Graph Evolution from Euler-Lagrange Dynamics. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (ICPR, 2018)

Quantum Edge Entropy for Alzheimer's Disease Analysis. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (S+SSPR, 2018)

Statistical mechanics for network structure and evolution. - Jianjia Wang (2018)

Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (GbRPR, 2019)

Identity authentication on mobile devices using face verification and ID image recognition. - Xing Wu 001; Jianxing Xu; Jianjia Wang; Yufeng Li 002; Weimin Li 001; Yike Guo (ITQM, 2019)

Thermodynamic Entropy in Quantum Statistics for Stock Market Networks. - Jianjia Wang; Chenyue Lin; Yilei Wang (Complex., 2019)

Quantum-based subgraph convolutional neural networks. - Zhihong Zhang 001; Dongdong Chen 003; Jianjia Wang; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

Thermodynamic edge entropy in Alzheimer's disease. - Jianjia Wang; Jiayu Huo; Lichi Zhang (Pattern Recognit. Lett., 2019)

Thermal Characterisation of Unweighted and Weighted Networks. - Jianjia Wang; Hui Wu; Edwin R. Hancock (ICPR, 2020)

fMRI Brain Networks as Statistical Mechanical Ensembles. - Hui Wu; Jianjia Wang; Edwin R. Hancock (ICPR, 2020)

Weighted Network Analysis Using the Debye Model. - Haoran Zhu; Hui Wu; Jianjia Wang; Edwin R. Hancock (S+SSPR, 2020)

JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks. - Penghao Cai; Fuqian Yang; Jianjia Wang; Xing Wu 001; Yang Yang 001; Xiliang Luo (IEEE Internet Things J., 2020)

Adaptive stock trading strategies with deep reinforcement learning methods. - Xing Wu 001; Haolei Chen; Jianjia Wang; Luigi Troiano; Vincenzo Loia; Hamido Fujita (Inf. Sci., 2020)

Directed and undirected network evolution from Euler-Lagrange dynamics. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (Pattern Recognit. Lett., 2020)

VNF Chain Placement for Large Scale IoT of Intelligent Transportation. - Xing Wu 001; Jing Duan; Mingyu Zhong; Peng Li 017; Jianjia Wang (Sensors, 2020)

FedMed: A Federated Learning Framework for Language Modeling. - Xing Wu 001; Zhaowang Liang; Jianjia Wang (Sensors, 2020)

Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy. - Xing Wu 001; Jianjia Wang; Peng Wang; Zhaoxiang Bian; Tao Huang 013; Yike Guo; Hamido Fujita (Appl. Soft Comput., 2021)

Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. - Jianjia Wang; Xichen Wu; Mingrui Li (Entropy, 2021)

Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216. - Jianjia Wang; Xichen Wu; Mingrui Li; Hui Wu; Edwin R. Hancock (Entropy, 2021)

A dynamic algorithm based on cohesive entropy for influence maximization in social networks. - Weimin Li 001; Kexin Zhong; Jianjia Wang; Dehua Chen (Expert Syst. Appl., 2021)

HAL: Hybrid active learning for efficient labeling in medical domain. - Xing Wu 001; Cheng Chen; Mingyu Zhong; Jianjia Wang (Neurocomputing, 2021)

COVID-AL: The diagnosis of COVID-19 with deep active learning. - Xing Wu 001; Cheng Chen; Mingyu Zhong; Jianjia Wang; Jun Shi 004 (Medical Image Anal., 2021)

Internet of Things as Complex Networks. - Xing Wu 001; Jianjia Wang; Peng Li 017; Xiliang Luo; Yang Yang 001 (IEEE Netw., 2021)

Thermodynamic motif analysis for directed stock market networks. - Dongdong Chen 003; Xingchen Guo; Jianjia Wang; Jiatong Liu; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2021)

Statistical mechanical analysis for unweighted and weighted stock market networks. - Jianjia Wang; Xingchen Guo; Weimin Li 001; Xing Wu 001; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2021)

Network edge entropy decomposition with spin statistics. - Jianjia Wang; Richard C. Wilson 001; Edwin R. Hancock (Pattern Recognit., 2021)

Predicting Drug-Drug Interactions with Graph Attention Network. - Jianjia Wang; Cheng Guo; Xing Wu 001 (ICPR, 2022)

Data-driven Latent Graph Structure Learning for Diagnosis of Alzheimer's Syndrome. - Jianjia Wang; Chong Wu (ICPR, 2022)

Inferring Edges from Weights in the Debye Model. - Jianjia Wang; Xin Zhao; Chong Wu; Edwin R. Hancock (ICPR, 2022)

TRCA: Text Restoration for Chinese ASR with BERT. - Xing Wu 001; Yuan Zhang; Jianjia Wang; Yike Guo (SoMeT, 2022)

MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition. - Xing Wu 001; Yifan Jin; Jianjia Wang; Quan Qian; Yike Guo (Algorithms, 2022)

Speech synthesis with face embeddings. - Xing Wu 001; Sihui Ji; Jianjia Wang; Yike Guo (Appl. Intell., 2022)

Face aging with pixel-level alignment GAN. - Xing Wu 001; Yafei Zhang; Qing Li 011; Yangyang Qi; Jianjia Wang; Yike Guo (Appl. Intell., 2022)

FTAP: Feature transferring autonomous machine learning pipeline. - Xing Wu 001; Cheng Chen; Pan Li; Mingyu Zhong; Jianjia Wang; Quan Qian; Peng Ding; Junfeng Yao; Yike Guo (Inf. Sci., 2022)

Weather-degraded image semantic segmentation with multi-task knowledge distillation. - Zhi Li; Xing Wu 001; Jianjia Wang; Yike Guo (Image Vis. Comput., 2022)

Collaborative representation learning for nodes and relations via heterogeneous graph neural network. - Weimin Li 001; Lin Ni; Jianjia Wang; Can Wang 004 (Knowl. Based Syst., 2022)

UBAR: User Behavior-Aware Recommendation with knowledge graph. - Xing Wu 001; Yisong Li; Jianjia Wang; Quan Qian; Yike Guo (Knowl. Based Syst., 2022)

Urban Social Segregation with Quantum Walk Algorithm. - Yutong Jiang; Xing Wu 001; Jianjia Wang (CyberC, 2023)

Using Statistical Distribution to Identify the Influence Connections in Brain Networks. - Haodi Mao; Xing Wu 001; Jianjia Wang (CyberC, 2023)

Trust Maintenance in IoT for Smart Cities with Complex Network Metrics. - Haodi Mao; Xing Wu 001; Jianjia Wang (CyberC, 2023)

STR Transformer: A Cross-domain Transformer for Scene Text Recognition. - Xing Wu 001; Bin Tang; Ming Zhao; Jianjia Wang; Yike Guo (Appl. Intell., 2023)

Multimodal contrastive learning for radiology report generation. - Xing Wu 001; Jingwen Li; Jianjia Wang; Quan Qian (J. Ambient Intell. Humaniz. Comput., 2023)

Coevolution modeling of group behavior and opinion based on public opinion perception. - Weimin Li 001; Chang Guo; Zhibin Deng; Fangfang Liu; Jianjia Wang; Ruiqiang Guo; Can Wang 004; Qun Jin (Knowl. Based Syst., 2023)

Federated Active Learning for Multicenter Collaborative Disease Diagnosis. - Xing Wu 001; Jie Pei; Cheng Chen; Yimin Zhu; Jianjia Wang; Quan Qian; Jian Zhang; Qun Sun; Yike Guo (IEEE Trans. Medical Imaging, 2023)

Taxi trajectories. - Haoran Zhu; Tong Yu; Jianjia Wang (IEEE DataPort, 2023)

Spatio-Temporal Graph Convolutional Networks via View Fusion for Trajectory Data Analytics. - Wenya Hu; Weimin Li 001; Xiaokang Zhou; Akira Kawai; Kaoru Fueda; Quan Qian; Jianjia Wang (IEEE Trans. Intell. Transp. Syst., 2023)

Graph Motif Entropy for Understanding Time-Evolving Networks. - Zhihong Zhang 001; Dongdong Chen 003; Lu Bai 001; Jianjia Wang; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

Statistical structural inference from edge weights using a mixture of gamma distributions. - Jianjia Wang; Edwin R. Hancock (J. Complex Networks, 2023)

ASTT: acoustic spatial-temporal transformer for short utterance speaker recognition. - Xing Wu 001; Ruixuan Li 004; Bin Deng; Ming Zhao; Xingyue Du; Jianjia Wang; Kai Ding (Multim. Tools Appl., 2023)

Space or time for video classification transformers. - Xing Wu 001; Chenjie Tao; Jian Zhang; Qun Sun; Jianjia Wang; Weimin Li 001; Yue Liu; Yike Guo (Appl. Intell., 2023)

DGPDHGCN: A Heterogeneous Graph Convolutional Network Method for Predicting Drug-Disease Associations. - Haoran Zhu; Tong Yu; Ling Ge; Jianjia Wang (BIBM, 2024)

Quantifying Racial Segregation Through Continuous-Time Quantum Walks. - Yutong Jiang; Xing Wu 001; Jianjia Wang (ICPR (10), 2024)

STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting. - Xing Wu 001; Chengyou Cai; Xiaoxiao Wang; Jianjia Wang; Junfeng Yao; Quan Qian; Jun Song (ICPR (5), 2024)

Candidate Evaluation with Multimodal Data-Driven for Recruitment. - Xing Wu 001; Kehong Liu; Jianjia Wang; Junfeng Yao; Bin Deng; Rongqi Lv; Jun Song (ICPR (8), 2024)

Explore Statistical Properties of Undirected Unweighted Networks from Ensemble Models. - Xunda Zhao; Xing Wu 001; Jianjia Wang (ICPR (27), 2024)