Jun Jason Zhang

Orcid: 0000-0001-6908-2671

Affiliations:
  • Wuhan University, School of Electrical Engineering and Automation, Wuhan, China
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Beijing, China
  • University of Denver, Department of Electrical and Computer Engineering, Denver, CO, USA (2011 - 2017)
  • Arizona State University, Tempe, AZ, USA (PhD 2008)


According to our database1, Jun Jason Zhang authored at least 87 papers between 2005 and 2023.

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Bibliography

2023
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment.
IEEE Trans. Comput. Soc. Syst., April, 2023

2022
Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control.
IEEE Trans. Comput. Soc. Syst., 2022

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems.
Frontiers Inf. Technol. Electron. Eng., 2022

Communication-Efficient Federated Edge Learning for NR-U-Based IIoT Networks.
IEEE Internet Things J., 2022

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning.
Neurocomputing, 2022

Supervised assisted deep reinforcement learning for emergency voltage control of power systems.
Neurocomputing, 2022

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs.
IEEE CAA J. Autom. Sinica, 2022

2021
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst., 2021

HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning.
Knowl. Based Syst., 2021

Pay attention to doctor-patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis.
Inf. Fusion, 2021

Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases.
Int. J. Intell. Syst., 2021

Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems.
IEEE CAA J. Autom. Sinica, 2021

An Adaptive Federated Control Strategy for Participant Selection in Multi-Client Collaboration.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Guest Editorial Special Issue on Blockchain and Economic Knowledge Automation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant.
IEEE Trans. Comput. Soc. Syst., 2020

Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo.
IEEE Trans. Comput. Soc. Syst., 2020

Mid-Long Term Electricity Consumption Forecasting Analysis Based on Cyber-Physical-Social System Architecture.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations.
IEEE Trans. Smart Grid, 2019

Social Energy: Emerging Token Economy for Energy Production and Consumption.
IEEE Trans. Comput. Soc. Syst., 2019

Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT.
IEEE Trans. Comput. Soc. Syst., 2019

Bridging the Physical, the Digital, and the Social.
IEEE Internet Things Mag., 2019

Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV.
IEEE Internet Things J., 2019

Parallel building: a complex system approach for smart building energy management.
IEEE CAA J. Autom. Sinica, 2019

Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings.
IEEE Access, 2019

Game-Theoretic Energy Consumption Planning at Distribution Level for Future Smart Grid.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Iterative Adaptive Dynamic Programming Adviced Campus Scale Social Energy System Management.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

2018
Optimization of Particle CBMeMBer Filters for Hardware Implementation.
IEEE Trans. Veh. Technol., 2018

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization.
IEEE Trans. Smart Grid, 2018

Cyber-Physical-Social Systems: The State of the Art and Perspectives.
IEEE Trans. Comput. Soc. Syst., 2018

Blockchainized Internet of Minds: A New Opportunity for Cyber-Physical-Social Systems.
IEEE Trans. Comput. Soc. Syst., 2018

Parallel Blockchain: An Architecture for CPSS-Based Smart Societies.
IEEE Trans. Comput. Soc. Syst., 2018

Parallel dispatch: a new paradigm of electrical power system dispatch.
IEEE CAA J. Autom. Sinica, 2018

Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces.
Frontiers Comput. Sci., 2018

2017
Social energy: mining energy from the society.
IEEE CAA J. Autom. Sinica, 2017

Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch.
IEEE Intell. Syst., 2017

Composite socio-technical systems: A method for social energy systems.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Transportation 5.0 in CPSS: Towards ACP-based society-centered intelligent transportation.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Chance-constrained day-ahead hourly scheduling in distribution system operation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Load forecasting based distribution system network reconfiguration - A distributed data-driven approach.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Multiple Target Tracking in Urban Environments.
IEEE Trans. Signal Process., 2016

Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis.
IEEE Trans. Smart Grid, 2016

Ultra-wideband radar and vision based human motion classification for assisted living.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Synchrophasor-Based Auxiliary Controller to Enhance the Voltage Stability of a Distribution System With High Renewable Energy Penetration.
IEEE Trans. Smart Grid, 2015

An overview of recent advances on distributed and agile sensing algorithms and implementation.
Digit. Signal Process., 2015

A new approach for automated detection of behavioral task onset for patients with Parkinson's disease using subthalamic nucleus local field potentials.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Unmanned aerial vehicle based passive radar agile sensing for computerized ionospheric tomography.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Joint real-time energy and demand-response management using a hybrid coalitional-noncooperative game.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Causality graph learning on cortical information flow in Parkinson's disease patients during behaviour tests.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods.
IEEE Trans. Smart Grid, 2014

Hyperbolic frequency modulation for multiple users in underwater acoustic communications.
Proceedings of the IEEE International Conference on Acoustics, 2014

Diagnosis of prostatic Carcinoma on multiparametric magnetic resonance imaging using shearlet transform.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Spatial-temporal characterization of synchrophasor measurement systems - A big data approach for smart grid system situational awareness.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Prediction of a bed-exit motion: Multi-modal sensing approach and incorporation of biomechanical knowledge.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Ultra-wideband radar based human body landmark detection and tracking with biomedical constraints for human motion measuring.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation.
IEEE Trans. Signal Process., 2013

Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures.
EURASIP J. Adv. Signal Process., 2013

Mobile robot connectivity maintenance based on RF mapping.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Fall Detection Based on Sequential Modeling of Radar Signal Time-Frequency Features.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

A Microscopic Image Classification Method Using Shearlet Transform.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Can NAO Robot Improve Eye-Gaze Attention of Children with High Functioning Autism?
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Image-Based Fall Detection with Human Posture Sequence Modeling.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Maneuvering target altitude tracking in over-the-horizon radars exploiting multipath Doppler signatures.
Proceedings of the IEEE International Conference on Acoustics, 2013

Prostate cancer detection and gleason grading of histological images using shearlet transform.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Time-frequency analysis of brain electrical Signals for behvior recognition in patients with Parkinson's disease.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Waveform-agile multiple target tracking using probability hypothesis density filtering.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Probability hypothesis density filtering with multipath-to-measurement association for urban tracking.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Neural activity tracking using spatial compressive particle filtering.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

EEG/MEG artifact suppression for improved neural activity estimation.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Beta process based adaptive learning for immunosignature microarray feature identification.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Fault localization in Smart Grid using wavelet analysis and unsupervised learning.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Electromagnetic field recognition for proactive robot communication connectivity maintenance.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Algorithm and Parallel Implementation of Particle Filtering and its Use in Waveform-Agile Sensing.
J. Signal Process. Syst., 2011

Nonstationary System Analysis Methods for Underwater Acoustic Communications.
EURASIP J. Adv. Signal Process., 2011

Real-time closed-loop tracking of an unknown number of neural sources using probability hypothesis density particle filtering.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

Urban terrain tracking in high clutter with waveform-agility.
Proceedings of the IEEE International Conference on Acoustics, 2011

Urban terrain multiple target tracking using probability hypothesis density particle filtering.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Design and performance of an integrated waveform-agile multi-modal track-before-detect sensing system.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Multi-target tracking using multi-modal sensing withwaveform configuration.
Proceedings of the IEEE International Conference on Acoustics, 2010

Time-varying wideband underwater acoustic channel estimation for OFDM communications.
Proceedings of the IEEE International Conference on Acoustics, 2010

Multipath exploitationwith adaptivewaveform design for tracking in urban terrain.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Time-frequency characterization and receiver waveform design for shallow water environments.
IEEE Trans. Signal Process., 2009

2008
Compressive sensing and waveform design for the identification of Linear time-varying systems.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Time-Frequency Based Waveform and Receiver Design for Shallow Water Communications.
Proceedings of the IEEE International Conference on Acoustics, 2007

2005
A Unified Bayesian Decision Theory Perspective to Sensor Networks.
Proceedings of the Intelligent Control, 2005


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