Jianjia Wang

Orcid: 0000-0003-1983-1632

According to our database1, Jianjia Wang authored at least 58 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Space or time for video classification transformers.
Appl. Intell., October, 2023

ASTT: acoustic spatial-temporal transformer for short utterance speaker recognition.
Multim. Tools Appl., September, 2023

Statistical structural inference from edge weights using a mixture of gamma distributions.
J. Complex Networks, September, 2023

Graph Motif Entropy for Understanding Time-Evolving Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Spatio-Temporal Graph Convolutional Networks via View Fusion for Trajectory Data Analytics.
IEEE Trans. Intell. Transp. Syst., April, 2023

Taxi trajectories.
Dataset, March, 2023

Federated Active Learning for Multicenter Collaborative Disease Diagnosis.
IEEE Trans. Medical Imaging, 2023

Coevolution modeling of group behavior and opinion based on public opinion perception.
Knowl. Based Syst., 2023

Multimodal contrastive learning for radiology report generation.
J. Ambient Intell. Humaniz. Comput., 2023

STR Transformer: A Cross-domain Transformer for Scene Text Recognition.
Appl. Intell., 2023

Trust Maintenance in IoT for Smart Cities with Complex Network Metrics.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

Using Statistical Distribution to Identify the Influence Connections in Brain Networks.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

Urban Social Segregation with Quantum Walk Algorithm.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

2022
UBAR: User Behavior-Aware Recommendation with knowledge graph.
Knowl. Based Syst., 2022

Collaborative representation learning for nodes and relations via heterogeneous graph neural network.
Knowl. Based Syst., 2022

Weather-degraded image semantic segmentation with multi-task knowledge distillation.
Image Vis. Comput., 2022

FTAP: Feature transferring autonomous machine learning pipeline.
Inf. Sci., 2022

Face aging with pixel-level alignment GAN.
Appl. Intell., 2022

Speech synthesis with face embeddings.
Appl. Intell., 2022

MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition.
Algorithms, 2022

TRCA: Text Restoration for Chinese ASR with BERT.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

Inferring Edges from Weights in the Debye Model.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Data-driven Latent Graph Structure Learning for Diagnosis of Alzheimer's Syndrome.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Predicting Drug-Drug Interactions with Graph Attention Network.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Network edge entropy decomposition with spin statistics.
Pattern Recognit., 2021

Statistical mechanical analysis for unweighted and weighted stock market networks.
Pattern Recognit., 2021

Thermodynamic motif analysis for directed stock market networks.
Pattern Recognit., 2021

Internet of Things as Complex Networks.
IEEE Netw., 2021

COVID-AL: The diagnosis of COVID-19 with deep active learning.
Medical Image Anal., 2021

HAL: Hybrid active learning for efficient labeling in medical domain.
Neurocomputing, 2021

A dynamic algorithm based on cohesive entropy for influence maximization in social networks.
Expert Syst. Appl., 2021

Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216.
Entropy, 2021

Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease.
Entropy, 2021

Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy.
Appl. Soft Comput., 2021

2020
FedMed: A Federated Learning Framework for Language Modeling.
Sensors, 2020

VNF Chain Placement for Large Scale IoT of Intelligent Transportation.
Sensors, 2020

Directed and undirected network evolution from Euler-Lagrange dynamics.
Pattern Recognit. Lett., 2020

Adaptive stock trading strategies with deep reinforcement learning methods.
Inf. Sci., 2020

JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks.
IEEE Internet Things J., 2020

Weighted Network Analysis Using the Debye Model.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

fMRI Brain Networks as Statistical Mechanical Ensembles.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Thermal Characterisation of Unweighted and Weighted Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Thermodynamic edge entropy in Alzheimer's disease.
Pattern Recognit. Lett., 2019

Quantum-based subgraph convolutional neural networks.
Pattern Recognit., 2019

Thermodynamic Entropy in Quantum Statistics for Stock Market Networks.
Complex., 2019

Identity authentication on mobile devices using face verification and ID image recognition.
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018
Statistical mechanics for network structure and evolution.
PhD thesis, 2018

Quantum Edge Entropy for Alzheimer's Disease Analysis.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Directed Graph Evolution from Euler-Lagrange Dynamics.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Spin statistics, partition functions and network entropy.
J. Complex Networks, 2017

Network Edge Entropy from Maxwell-Boltzmann Statistics.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Minimising Entropy Changes in Dynamic Network Evolution.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Detecting Alzheimer's Disease Using Directed Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Euler-Lagrange Network Dynamics.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
fMRI Activation Network Analysis Using Bose-Einstein Entropy.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Thermodynamic Network Analysis with Quantum Spin Statistics.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Network entropy analysis using the Maxwell-Boltzmann partition function.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


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