A Unified Bayesian Decision Theory Perspective to Sensor Networks. - Amit S. Chhetri; Darryl Morrell; Antonia Papandreou-Suppappola; Chaitali Chakrabarti; Andreas Spanias; Jun Jason Zhang (ISIC, 2005)

Time-Frequency Based Waveform and Receiver Design for Shallow Water Communications. - Jun Zhang 040; Antonia Papandreou-Suppappola (ICASSP (3), 2007)

Dynamic waveform design for target tracking using MIMO radar. - Jun Zhang 040; Bhavana B. Manjunath; Ghassan Maalouli; Antonia Papandreou-Suppappola; Darryl Morrell (ACSCC, 2008)

Compressive sensing and waveform design for the identification of Linear time-varying systems. - Jun Jason Zhang; Antonia Papandreou (ICASSP, 2008)

Time-frequency characterization and receiver waveform design for shallow water environments. - Jun Jason Zhang; Antonia Papandreou-Suppappola; Bertrand Gottin; Cornel Ioana (IEEE Trans. Signal Process., 2009)

Multipath exploitationwith adaptivewaveform design for tracking in urban terrain. - Bhavana Chakraborty; Ying Li; Jun Jason Zhang; Tom Trueblood; Antonia Papandreou-Suppappola; Darryl Morrell (ICASSP, 2010)

Time-varying wideband underwater acoustic channel estimation for OFDM communications. - Nicolas F. Josso; Jun Jason Zhang; Dario Fertonani; Antonia Papandreou-Suppappola; Tolga M. Duman (ICASSP, 2010)

Multi-target tracking using multi-modal sensing withwaveform configuration. - Jun Jason Zhang; Antonia Papandreou-Suppappola; Muralidhar Rangaswamy (ICASSP, 2010)

Design and performance of an integrated waveform-agile multi-modal track-before-detect sensing system. - Shubo Liu; Surendra S. Bhat; Jun Jason Zhang; Quan Ding; Ram M. Narayanan; Antonia Papandreou-Suppappola; Steven Kay; Muralidhar Rangaswamy (ACSCC, 2011)

Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification. - Anna Malin; Jun Jason Zhang; Bhavana Chakraborty; Narayan Kovvali; Antonia Papandreou-Suppappola; Stephen A. Johnston; Phillip Stafford (ACSCC, 2011)

Urban terrain multiple target tracking using probability hypothesis density particle filtering. - Meng Zhou 002; Bhavana Chakraborty; Jun Jason Zhang (ACSCC, 2011)

Urban terrain tracking in high clutter with waveform-agility. - Bhavana Chakraborty; Jun Jason Zhang; Antonia Papandreou-Suppappola; Darryl Morrell (ICASSP, 2011)

Real-time closed-loop tracking of an unknown number of neural sources using probability hypothesis density particle filtering. - Lifeng Miao; Jun Jason Zhang; Chaitali Chakrabarti; Antonia Papandreou-Suppappola; Narayan Kovvali (SiPS, 2011)

Nonstationary System Analysis Methods for Underwater Acoustic Communications. - Nicolas F. Josso; Jun Jason Zhang; Antonia Papandreou-Suppappola; Cornel Ioana; Tolga M. Duman (EURASIP J. Adv. Signal Process., 2011)

Algorithm and Parallel Implementation of Particle Filtering and its Use in Waveform-Agile Sensing. - Lifeng Miao; Jun Jason Zhang; Chaitali Chakrabarti; Antonia Papandreou-Suppappola (J. Signal Process. Syst., 2011)

Electromagnetic field recognition for proactive robot communication connectivity maintenance. - Mustafa A. Ayad; Jun Jason Zhang; Richard M. Voyles; Mohammad H. Mahoor (ACSCC, 2012)

Fault localization in Smart Grid using wavelet analysis and unsupervised learning. - Huaiguang Jiang; Jun Jason Zhang; David Wenzhong Gao (ACSCC, 2012)

Beta process based adaptive learning for immunosignature microarray feature identification. - Anna Malin; Narayan Kovvali; Antonia Papandreou-Suppappola; Jun Jason Zhang; Stephen A. Johnston; Phillip Stafford (ACSCC, 2012)

EEG/MEG artifact suppression for improved neural activity estimation. - Alexander Maurer; Lifeng Miao; Jun Jason Zhang; Narayan Kovvali; Antonia Papandreou-Suppappola; Chaitali Chakrabarti (ACSCC, 2012)

Neural activity tracking using spatial compressive particle filtering. - Lifeng Miao; Jun Jason Zhang; Antonia Papandreou-Suppappola; Chaitali Chakrabarti (ICASSP, 2012)

Probability hypothesis density filtering with multipath-to-measurement association for urban tracking. - Meng Zhou 002; Jun Jason Zhang; Antonia Papandreou-Suppappola (ICASSP, 2012)

Waveform-agile multiple target tracking using probability hypothesis density filtering. - Brian O'Donnell; Jun Jason Zhang; Antonia Papandreou-Suppappola; Muralidhar Rangaswamy (SAM, 2012)

Time-frequency analysis of brain electrical Signals for behvior recognition in patients with Parkinson's disease. - Huaiguang Jiang; Jun Jason Zhang; Adam O. Hebb; Mohammad H. Mahoor (ACSSC, 2013)

Prostate cancer detection and gleason grading of histological images using shearlet transform. - Hadi Rezaeilouyeh; Mohammad H. Mahoor; Francisco G. La Rosa; Jun Jason Zhang (ACSSC, 2013)

Maneuvering target altitude tracking in over-the-horizon radars exploiting multipath Doppler signatures. - Yimin D. Zhang; Jun Jason Zhang; Moeness G. Amin; Braham Himed (ICASSP, 2013)

Image-Based Fall Detection with Human Posture Sequence Modeling. - Xiaoxiao Dai; Meng Wu; Bradley Davidson; Mohammad H. Mahoor; Jun Zhang 040 (ICHI, 2013)

Can NAO Robot Improve Eye-Gaze Attention of Children with High Functioning Autism? - Huanghao Feng; Anibal Gutierrez; Jun Zhang 040; Mohammad H. Mahoor (ICHI, 2013)

A Microscopic Image Classification Method Using Shearlet Transform. - Hadi Rezaeilouyeh; Mohammad H. Mahoor; Seyed Mohammad Mavadati; Jun Jason Zhang (ICHI, 2013)

Fall Detection Based on Sequential Modeling of Radar Signal Time-Frequency Features. - Meng Wu; Xiaoxiao Dai; Yimin D. Zhang; Bradley Davidson; Moeness G. Amin; Jun Zhang 040 (ICHI, 2013)

Mobile robot connectivity maintenance based on RF mapping. - Mustafa A. Ayad; Jun Jason Zhang; Richard M. Voyles; Mohammad H. Mahoor (IROS, 2013)

Instantaneous altitude estimation of maneuvering target in over-the-horizon radar exploiting multipath Doppler signatures. - Yimin D. Zhang; Jun Jason Zhang; Moeness G. Amin; Braham Himed (EURASIP J. Adv. Signal Process., 2013)

Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation. - Lifeng Miao; Jun Jason Zhang; Chaitali Chakrabarti; Antonia Papandreou-Suppappola (IEEE Trans. Signal Process., 2013)

Ultra-wideband radar based human body landmark detection and tracking with biomedical constraints for human motion measuring. - Xiaoxiao Dai; Zhichong Zhou; Jun Jason Zhang; Bradley Davidson (ACSSC, 2014)

Prediction of a bed-exit motion: Multi-modal sensing approach and incorporation of biomechanical knowledge. - Jun Hao; Xiaoxiao Dai; Amy Stroder; Jun Jason Zhang; Bradley Davidson; Mohammad H. Mahoor; Neil McClure (ACSSC, 2014)

Spatial-temporal characterization of synchrophasor measurement systems - A big data approach for smart grid system situational awareness. - Huaiguang Jiang; Lei Huang; Jun Jason Zhang; Yingchen Zhang; David Wenzhong Gao (ACSSC, 2014)

Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation. - Nazanin Zaker; Arindam Dutta; Alexander Maurer; Jun Jason Zhang; Sara J. Hanrahan; Adam O. Hebb; Narayan Kovvali; Antonia Papandreou-Suppappola (ACSSC, 2014)

Diagnosis of prostatic Carcinoma on multiparametric magnetic resonance imaging using shearlet transform. - Hadi Rezaeilouyeh; Mohammad H. Mahoor; Jun Jason Zhang; Francisco G. La Rosa; Samuel Chang; Priya N. Werahera (EMBC, 2014)

Hyperbolic frequency modulation for multiple users in underwater acoustic communications. - Meng Zhou 002; Jun Jason Zhang; Antonia Papandreou-Suppappola (ICASSP, 2014)

Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods. - Huaiguang Jiang; Jun Jason Zhang; David Wenzhong Gao; Ziping Wu (IEEE Trans. Smart Grid, 2014)

Causality graph learning on cortical information flow in Parkinson's disease patients during behaviour tests. - Abdulaziz Almalaq; Xiaoxiao Dai; Jun Zhang 040; Sara J. Hanrahan; Joshua Nedrud; Adam O. Hebb (ACSSC, 2015)

Joint real-time energy and demand-response management using a hybrid coalitional-noncooperative game. - Fulin He; Yi Gu 004; Jun Hao; Jun Jason Zhang; Jiaolong Wei; Yingchen Zhang (ACSSC, 2015)

Unmanned aerial vehicle based passive radar agile sensing for computerized ionospheric tomography. - Yishi Lee; Jun Jason Zhang; Matthew Zettergren; Kimon P. Valavanis (ACSSC, 2015)

A new approach for automated detection of behavioral task onset for patients with Parkinson's disease using subthalamic nucleus local field potentials. - Nazanin Zaker; Jun Jason Zhang; Sara J. Hanrahan; Joshua Nedrud; Adam O. Hebb (ACSSC, 2015)

An overview of recent advances on distributed and agile sensing algorithms and implementation. - Mahesh K. Banavar; Jun Jason Zhang; Bhavana Chakraborty; Homin Kwon; Ying Li; Huaiguang Jiang; Andreas Spanias; Cihan Tepedelenlioglu; Chaitali Chakrabarti; Antonia Papandreou-Suppappola (Digit. Signal Process., 2015)

Synchrophasor-Based Auxiliary Controller to Enhance the Voltage Stability of a Distribution System With High Renewable Energy Penetration. - Huaiguang Jiang; Yingchen Zhang; Jun Jason Zhang; David Wenzhong Gao; Eduard Muljadi (IEEE Trans. Smart Grid, 2015)

Ultra-wideband radar and vision based human motion classification for assisted living. - Zhichong Zhou; Jun Zhang 040; Yimin D. Zhang (SAM, 2016)

Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis. - Huaiguang Jiang; Xiaoxiao Dai; David Wenzhong Gao; Jun Jason Zhang; Yingchen Zhang; Eduard Muljadi (IEEE Trans. Smart Grid, 2016)

Multiple Target Tracking in Urban Environments. - Meng Zhou 002; Jun Jason Zhang; Antonia Papandreou-Suppappola (IEEE Trans. Signal Process., 2016)

Load forecasting based distribution system network reconfiguration - A distributed data-driven approach. - Yi Gu 004; Huaiguang Jiang; Jun Jason Zhang; Yingchen Zhang; Eduard Muljadi; Francisco J. Solis (ACSSC, 2017)

Chance-constrained day-ahead hourly scheduling in distribution system operation. - Yi Gu 004; Huaiguang Jiang; Jun Jason Zhang; Yingchen Zhang; Eduard Muljadi; Francisco J. Solis (ACSSC, 2017)

Transportation 5.0 in CPSS: Towards ACP-based society-centered intelligent transportation. - Fei-Yue Wang 001; Jun Jason Zhang (ITSC, 2017)

Composite socio-technical systems: A method for social energy systems. - Fulin He; Jun Hao; Xiaoxiao Dai; Jun Jason Zhang; Jiaolong Wei; Yingchen Zhang (SMC, 2017)

Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch. - Yingchen Zhang; Rui Yang 015; Kaiqing Zhang; Huaiguang Jiang; Jun Jason Zhang (IEEE Intell. Syst., 2017)

Social energy: mining energy from the society. - Jun Jason Zhang; David Wenzhong Gao; Yingchen Zhang; Xiao Wang 002; Xiangyang Zhao; Dongliang Duan; Xiaoxiao Dai; Jun Hao; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2017)

Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces. - Fei-Yue Wang 001; Jun Jason Zhang; Xiao Wang 002 (Frontiers Comput. Sci., 2018)

Parallel dispatch: a new paradigm of electrical power system dispatch. - Jun Jason Zhang; Fei-Yue Wang 001; Qiang Wang; Dazhi Hao; Xiaojing Yang; David Wenzhong Gao; Xiangyang Zhao; Yingchen Zhang (IEEE CAA J. Autom. Sinica, 2018)

Parallel Blockchain: An Architecture for CPSS-Based Smart Societies. - Fei-Yue Wang 001; Yong Yuan; Chunming Rong; Jun Jason Zhang (IEEE Trans. Comput. Soc. Syst., 2018)

Blockchainized Internet of Minds: A New Opportunity for Cyber-Physical-Social Systems. - Fei-Yue Wang 001; Yong Yuan; Jun Zhang 040; Rui Qin 002; Michael H. Smith (IEEE Trans. Comput. Soc. Syst., 2018)

Cyber-Physical-Social Systems: The State of the Art and Perspectives. - Jun Jason Zhang; Fei-Yue Wang 001; Xiao Wang 002; Gang Xiong 001; Fenghua Zhu; Yisheng Lv; Jiachen Hou; Shuangshuang Han; Yong Yuan; Qingchun Lu; Yishi Lee (IEEE Trans. Comput. Soc. Syst., 2018)

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization. - Huaiguang Jiang; Yingchen Zhang; Eduard Muljadi; Jun Jason Zhang; David Wenzhong Gao (IEEE Trans. Smart Grid, 2018)

Optimization of Particle CBMeMBer Filters for Hardware Implementation. - Chaoqun Yang 001; Zhiguo Shi 001; Kuan Han; Jun Jason Zhang; Yujie Gu 001; Zhongya Qin (IEEE Trans. Veh. Technol., 2018)

A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing. - Siyuan Chen; Yuyang Bai; Yinya Zhang; Xiaohong Liu; Jun Zhang 040; Tianlu Gao; Zhou Fang; Yuxin Dai (SOLI, 2019)

Iterative Adaptive Dynamic Programming Adviced Campus Scale Social Energy System Management. - Xiaoxiao Dai; Ke Zhang; Jun Jason Zhang; Jun Hao; Yue Guo; Zhiqiang Chong; Xiaojing Yang (SOLI, 2019)

Game-Theoretic Energy Consumption Planning at Distribution Level for Future Smart Grid. - Jun Hao; Ke Zhang; Xiaoxiao Dai; Jun Jason Zhang (SOLI, 2019)

Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings. - Abdulaziz Almalaq; Jun Jason Zhang (IEEE Access, 2019)

Parallel building: a complex system approach for smart building energy management. - Abdulaziz Almalaq; Jun Hao; Jun Jason Zhang; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2019)

Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV. - Shuangshuang Han; Xiao Wang 002; Jun Jason Zhang; Dongpu Cao; Fei-Yue Wang 001 (IEEE Internet Things J., 2019)

Bridging the Physical, the Digital, and the Social. - Jun Zhang 040 (IEEE Internet Things Mag., 2019)

Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT. - Shancang Li; Yong Yuan; Jun Jason Zhang; Bill Buchanan 001; Erwu Liu; Ramesh Ramadoss (IEEE Trans. Comput. Soc. Syst., 2019)

Social Energy: Emerging Token Economy for Energy Production and Consumption. - Fei-Yue Wang 001; Jun Jason Zhang; Rui Qin 002; Yong Yuan (IEEE Trans. Comput. Soc. Syst., 2019)

Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations. - Yi Gu 004; Huaiguang Jiang; Jun Jason Zhang; Yingchen Zhang; Hongyu Wu; Eduard Muljadi (IEEE Trans. Smart Grid, 2019)

Mid-Long Term Electricity Consumption Forecasting Analysis Based on Cyber-Physical-Social System Architecture. - Chenxi Hu; Hongxia Yuan; Jun Jason Zhang; Jing Yan; Tianlu Gao; Hang Zhao; Jieyu Lin; Peng Zhou (CASE, 2020)

Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo. - Lifang Li; Qingpeng Zhang; Xiao Wang 002; Jun Jason Zhang; Tao Wang 172; Tianlu Gao; Wei Duan 002; Kelvin Kam-fai Tsoi; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant. - Linyao Yang; Xiao Wang 002; Jun Jason Zhang; Min Zhou 003; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Guest Editorial Special Issue on Blockchain and Economic Knowledge Automation. - Yong Yuan; Shouyang Wang; David L. Olson; James H. Lambert; Fei-Yue Wang 001; Chunming Rong; Angelos Stavrou; Jun Zhang 040; Qiang Tang 005; Foteini Baldimtsi; Laurence T. Yang; Desheng Wu (IEEE Trans. Syst. Man Cybern. Syst., 2020)

An Adaptive Federated Control Strategy for Participant Selection in Multi-Client Collaboration. - Yizhu Chen; Xiaoming Du; Xiao Wang 002; Jun Jason Zhang; Fei-Yue Wang 001 (DTPI, 2021)

Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems. - Mohammad Mehedi Hassan; Giancarlo Fortino; Laurence T. Yang; Hai Jiang 003; Kim-Kwang Raymond Choo; Jun Jason Zhang; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2021)

Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases. - Wenbo Zheng; Lan Yan; Chao Gou; Zhi-Cheng Zhang; Jun Jason Zhang; Ming Hu; Fei-Yue Wang 001 (Int. J. Intell. Syst., 2021)

Pay attention to doctor-patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis. - Wenbo Zheng; Lan Yan; Chao Gou; Zhi-Cheng Zhang; Jun Jason Zhang; Ming Hu; Fei-Yue Wang 001 (Inf. Fusion, 2021)

HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning. - Linyao Yang; Xiao Wang 002; Yuxin Dai; Kejun Xin; Xiaolong Zheng 001; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (Knowl. Based Syst., 2021)

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. - Jun Jason Zhang; Fei-Yue Wang 001; Yong Yuan; Guandong Xu; Huan Liu 001; Wei Gao 001; Shoaib Jameel; Imran Razzak; Peter W. Eklund; Sheraz Ahmed; Rui Qin 002; Juanjuan Li; et al. (IEEE Trans. Comput. Soc. Syst., 2021)

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs. - Linyao Yang; Chen Lv; Xiao Wang 002; Ji Qiao; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2022)

Supervised assisted deep reinforcement learning for emergency voltage control of power systems. - Xiaoshuang Li; Xiao Wang 002; Xinhu Zheng; Yuxin Dai; Zhihong Yu; Jun Jason Zhang; Guangquan Bu; Fei-Yue Wang 001 (Neurocomputing, 2022)

SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning. - Xiaoshuang Li; Xiao Wang 002; Xinhu Zheng; Junchen Jin; Yanhao Huang; Jun Jason Zhang; Fei-Yue Wang 001 (Neurocomputing, 2022)

Communication-Efficient Federated Edge Learning for NR-U-Based IIoT Networks. - Qimei Chen; Xiaoxia Xu; Zehua You; Hao Jiang 010; Jun Zhang 040; Fei-Yue Wang 001 (IEEE Internet Things J., 2022)

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems. - Fei-Yue Wang 001; Jianbo Guo; Guangquan Bu; Jun Jason Zhang (Frontiers Inf. Technol. Electron. Eng., 2022)

Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control. - Ke Zhang; Jun Jason Zhang; Peidong Xu; Tianlu Gao; David Wenzhong Gao (IEEE Trans. Comput. Soc. Syst., 2022)

HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment. - Linyao Yang; Xiao Wang 002; Jun Zhang 040; Jun Yang 019; Yancai Xu; Jiachen Hou; Kejun Xin; Feiyue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Research on Active Power Corrective Control of the Power System Based on Deep Reinforcement Learning Model. - Ke Zhang; Yangwu Shen; Yuting Wang; Jun Jason Zhang (DTPI, 2024)

Sora for foundation robots with parallel intelligence: three world models, three robotic systems. - Lili Fan; Chao Guo 006; Yonglin Tian; Hui Zhang; Jun Zhang 040; Fei-Yue Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

Two-Step Diffusion Policy Deep Reinforcement Learning Method for Low-Carbon Multi-Energy Microgrid Energy Management. - Yiwen Zhang; Zhen Mei; Xiaoqian Wu; Huaiguang Jiang; Jun Zhang 040; Wenzhong Gao 001 (IEEE Trans. Smart Grid, 2024)

Real-Time Robust State Estimation for Large-Scale Low-Observability Power-Transportation System Based on Meta Physics-Informed Graph TimesNet. - Shijie Li 005; Weijian Li; Lulu Chen; Huaiguang Jiang; Jun Zhang 040; David Wenzhong Gao (IEEE Trans. Smart Grid, 2024)

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue. - Wenhao Lu; Zhengqiu Zhu; Yong Zhao; Yonglin Tian; Junjie Zeng; Jun Zhang 040; Zhong Liu 002; Fei-Yue Wang 001 (CoRR, 2025)