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This is a complete list of my publications.
Most of my publications are available in PDF.
 Journal papers
Voltage Regulation in Edge Energy Router System via H∞ Control with Markov Jump.
Y. Li, H. Hua, and J. Cao. CSEE J. Power and Energy Systems, 2024. A Novel Consensus-Based Optimal Control Strategy for Multi-Microgrid Systems with Battery Degradation Consideration.
T. Wang, H. Liang, H. Hua, Y. Qin, and J. Cao. CSEE J. Power and Energy Systems, 2024. Integral Precession Calibration Method of PIGA on Linear Vibration Table.
C. Sun, S. Ren, J. Cao, and R. Huo. Chinese J. Aeronautics, 37(3), 219-236, 2024. Meet the Micro-MMC.
C. Hao, J. Cao, P. Xia, S. J. Finney, and M. M. C. Merlin. IEEE Power Electronics Magazine, 10(4), 47-52, 2023. Guest Editorial: Optimization, Control and AI Technology for Digital and Low-Carbon Power Systems.
P. Naidoo, M. C. Tavares, J. Cao, Y. Ding, and H. Hua. IET Cyber-Physical Systems: Theory & Applications, 8(4), 219-221, 2023. Review of Difficulties in China's "Blockchain+Energy Internet" Project Construction and Corresponding Countermeasures under the New
Infrastructure Construction (in Chinese).
Z. Wei, H. Hua, T. Wang, and J. Cao. Southern Power System Technology, 17(10), 152-169, 2023. Main-side Chain Technology and its Applications in Energy Internet (in Chinese).
W. Yu, J. Hang, J. Guo, S. Ai, H. Liang, and J. Cao. J. Nanjing Normal University (Engineering & Technology), 23(3), 9-18, 2023. Human-Cyber-Physical Systems for Energy Internet - a Review.
J. Cao, J. Jin, Y. Ming, C. Sun, X. Zeng, Z. Jiao, and S. Ai. Energies, 16(15), 5624(28), 2023. A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences.
T. Wang, S. Ai, J. Cao, and Y. Zhao. Symmetry, 15(4), 808(21), 2023. Edge Computing with Artificial Intelligence: a Machine Learning Perspective.
H. Hua, Y. Li, T. Wang, N. Dong, W. Li, and J. Cao. ACM Computing Surveys, 55(9), 184(35), 2023. Incremental Incentive Mechanism Design for Diversified Consumers in Demand Response.
D. Liu, Z. Qin, H. Hua, Y. Ding, and J. Cao. Applied Energy, 329, 120240, 2023. Multiple Impact Factor based Accuracy Analysis for Power Quality Disturbance Detection.
Z. Yang, H. Hua, and J. Cao. CSEE J. Power and Energy Systems, 9(1), 88-99, 2023. Probabilistic Power Flow Calculation Using Principal Component Analysis-Based Compressive Sensing.
T. Wang, H. Liang, J. Cao, and Y. Zhao. Frontiers in Energy Research, 10, 1056077, 2022. Collaborative Optimization Strategy of Information and Energy for Distributed Data Centers (in Chinese).
D. Liu, J. Cao, and M. Liu. J. Tsinghua University (Science & Technology), 62(12), 1864-1874, 2022. Symmetric Calibration Method of Pendulous Integrating Gyroscopic Accelerometer on Centrifuge.
C. Sun, S. Ren, J. Cao, and R. Huo. Measurement, 200, 111685, 2022. Joint Optimization of Energy Storage Sharing and Demand Response in Microgrid Considering Multiple Uncertainties.
H. Hua, Y. Qin, H. Xu, C. Hao, and J. Cao. Energies, 15(9), 3067(20), 2022. Data-driven Dynamical Control for Bottom-up Energy Internet System.
H. Hua, Z. Qin, N. Dong, Y. Qin, M. Ye, Z. Wang, X. Chen, and J. Cao. IEEE Trans. Sustainable Energy, 13(1), 315-327, 2022. Challenges of Blockchain in New Generation Energy Systems and Future Outlooks.
T. Wang, H. Hua, Z. Wei, and J. Cao. Int. J. Electrical Power and Energy Systems, 135, 107499, 2022. Stochastic Optimal Energy Storage Management for Energy Routers via Compressive Sensing.
H. Liang, H. Hua, Y. Qin, M. Ye, S. Zhang, and J. Cao. IEEE Trans. Industrial Informatics, 18(4), 2192-2202, 2022. Energy Sharing and Frequency Regulation in Energy Internet via Mixed H2/H∞ Control with Markovian Jump.
H. Hua, Y. Qin, Z. He, L. Li, and J. Cao. CSEE J. Power and Energy Systems, 7(6), 1302-1311, 2021. Research on Control Strategy of Microgrid Energy Storage System based on Deep Reinforcement Learning (in Chinese).
H. Liang, H. Li, H. Zhang, Z. Hu, Z. Qin, and J. Cao. Power System Technology, 45(10), 3869-3877, 2021. Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning.
Z. Qin, D. Liu, H. Hua, and J. Cao. IEEE Trans. Smart Grid, 12(5), 4079-4089, 2021. Coupling Fault Diagnosis of Wind Turbine Gearbox Based on Multitask Parallel
Convolutional Neural Networks with Overall Information.
S. Guo, T. Yang, H. Hua, and J. Cao. Renewable Energy, 178, 639-650, 2021. RBT: a Distributed Reputation System for Blockchain-Based Peer-to-Peer
Energy Trading with Fairness Consideration.
T. Wang, J. Guo, S. Ai, and J. Cao. Applied Energy, 295, 117056, 2021. A Review of Distributed Control and Optimization in Energy Internet:
From Traditional Methods to Artificial Intelligence-Based Methods.
H. Hua, Z. Wei, Y. Qin, T. Wang, L. Li, and J. Cao. IET Cyber-Physical Systems: Theory & Applications, 6(2), 63-79, 2021. Key Technologies of Electricity Transaction Blockchain in Energy Internet (in Chinese).
S. Ai, D. Hu, T. Zhang, and J. Cao. Electric Power Construction, 42(6), 44-57, 2021. Cloud-Edge Collaboration Technique for Energy Internet (in Chinese).
Y. Ming, S. Ai, X. Zheng, H. Hua, and J. Cao. Computer Science and Application, 11(5), 1427-1435, 2021. Improved Approximate Minimum Degree Ordering Method and its Application for Electrical Power Network Analysis and Computation.
J. Guo, H. Liang, S. Ai, C. Lu, H. Hua, and J. Cao. Tsinghua Science and Technology, 26(4), 464-474, 2021. Consensus Edge Computing and Its Applications in Energy Internet (in Chinese).
T. Wang, H. Hua, and J. Cao. Electric Power Construction, 42(2), 116-125, 2021. A Novel Stochastic Mixed H2/H∞ Control Strategy for Energy Internet Edge Computing System (in Chinese).
H. Hua, Y. Li, T. Wang, Z. Qin, and J. Cao. Proc. of the CSEE, 40(21), 6875-6884, 2020. Performance Modelling for Data Monitoring Services in Smart Grid: a Network Calculus-Based Approach.
J. Cao, Y. Wan, H. Hua, and G. Yang. CSEE J. Power and Energy Systems, 6(3), 610-618, 2020. Review of Research on Generative Adversarial Network and Its Application in New Energy Data Quality (in Chinese).
Y. Li, Z. Xiao, S. Nie, J. Cao, and H. Hua. Southern Power System Technology, 14(2), 25-33, 2020. Guest Editorial: Special Issue on Data Intelligence in Sustainable ComputingIn.
T. Zhu, W. Luo, J. Cao, and H. Lei. Sustainable Computing: Informatics and Systems, 25, 100375, 2020. User Demand Oriented Research Framework of Value Morphology for
Regional Energy Internet and its Application Analysis (in Chinese).
J. Guo, J. Cao, Y. Yang, C. Lu, D. Zhang, D. Liu, and H. Hua. Power System Technology, 44(2), 493-504, 2020. A Sustainable and User Behavior Aware Cyber-Physical System for Home Energy Management.
W. Li, X. Chang, J. Cao, T. Yang, Y. Sun, and A. Y. Zomaya. ACM Trans. Cyber-Physical Systems,
Special Issue on Human-Interaction-Aware Data Analytics for CPS, 3(4), 37(24), 2019. Robust Control Method for DC Microgrids and Energy Routers to Improve Voltage Stability in
Energy Internet. H. Hua, Y. Qin, H. Xu, C. Hao, and J. Cao. Energies, 12(9), 1622(17), 2019. Reactive Power Optimization for Transient Voltage Stability in Energy Internet via Deep Reinforcement
Learning Approach. J. Cao, W. Zhang, Z. Xiao, and H. Hua. Energies, 12(8), 1556(17), 2019. Overview of the Application of Artificial Intelligence in Energy Internet (in Chinese).
Z. Xiao, H. Hua, and J. Cao. Electric Power Construction, 40(5), 63-70, 2019. Development of a 10-kV Regional Compensation Dynamic Voltage Restorer with Multiple Functions.
J. Le, Q. Zhou, C. Wang, H. Zhang, S. Yao, and J. Cao. Int. J. Electronics, 106(8), 1248-1263, 2019. Applying Deep Neural Networks to the Detection and Space Parameter Estimation of
Compact Binary Coalescence with a Network of Gravitational Wave Detectors.
X. Fan, J. Li, X. Li, Y. Zhong, and J. Cao. SCIENCE CHINA Physics, Mechanics & Astronomy, 62(6), 969512(8), 2019. Optimal Energy Management Strategies for Energy Internet via Deep Reinforcement Learning Approach.
H. Hua, Y. Qin, C. Hao, and J. Cao. Applied Energy, 239, 598-609, 2019. Robust Mixed H2/H∞ Controller Design for Energy Routers in Energy Internet.
H. Hua, Y. Qin, J. Geng, C. Hao, and J. Cao. Energies, Special Issue on Selected Papers from the 6th Int. Conf. on
Smart Energy Grid Engineering (SEGE 2018), 12(3), 340(16), 2019. Stochastic Optimal Control Scheme for Battery Lifetime Extension in Islanded Microgrid via A Novel Modeling Approach.
Y. Qin, H. Hua, and J. Cao. IEEE Trans. Smart Grid, 10(4), 4467-4475, 2019. Stochastic Optimal Control for Energy Internet: A Bottom-up Energy Management Approach.
H. Hua, Y. Qin, C. Hao, and J. Cao. IEEE Trans. Industrial Informatics, Special Section on Energy Internet, 15(3), 1788-1797, 2019. Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems.
J. Cao, Y. Wan, H. Hua, and Y. Qin. Sensors, Special Issue on Smart Grid Networks and Energy Cyber Physical Systems,
18(11), 3615(22), 2018. Orchestration of Ultra-Dense 5G Networks.
A. Al-Dulaimi, Q. Ni, J. Cao, A. Gatherer, and C. I. IEEE Communications Magazine, 56(8), 68-69, 2018. A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization.
H. Hua, C. Hao, Y. Qin, and J. Cao. Energies, 11(6), 1593(20), 2018. Distributed Energy Sharing in Energy Internet through Distributed Averaging.
Y. Ming, J. Yang, J. Cao, Z. Zhou, and C. Xing. Tsinghua Science and Technology, Special Section on Energy Internet, 23(3), 233-242, 2018. On the Mathematical Nature of Wireless Broadcast Trees.
F. Li, J. Cao, C. Wang, and K. Wu. Tsinghua Science and Technology, Special Section on Energy Internet, 23(3), 223-232, 2018. Voltage Control for Uncertain Stochastic Nonlinear System with Application to Energy Internet: Non-fragile Robust H∞ Approach.
H. Hua, J. Cao, G. Yang, and G. Ren. J. Mathematical Analysis and Applications, 463(1), 93-110, 2018. Energy Routing Network Structure and Control Mechanism Research for Energy Internet (in Chinese).
F. Yang, C. Bai, Z. Qiu, G. Ren, Y. Ming, and J. Cao. J. Frontiers of Computer Science and Technology, 12(3), 403-410, 2018. Finite Time Robust Control of STATCOM Systems based on Higher Order Sliding Mode (in Chinese).
J. Yang, J. Cao, T. Fang, K. Wu, and X. Chang. Electric Power Construction, 39(3), 71-76, 2018. Research on Data Privacy Protection in Energy Internet Based on LDPC (in Chinese).
Y. Ming and J. Cao. Electric Power Information and Communication Technology, 15(11), 16-21, 2017. Review of Intelligent Power Electronic Device Research (in Chinese).
J. Cao, J. Yang, Z. Yuan, K. Wu, T. Fang, and F. Yang. Electric Power Construction,
Special Issue on Information and Communication Technologies for Future Energy Internet, 38(5), 10-22, 2017. The Energy Access Administration Research Based on a Linkage Routing Network (in Chinese).
G. Ren, Y. Gang, H. Hua, F. Yang, C. Bai, Z. Qiu, and J. Cao. J. Computer Research and Development,
Special Issue on Energy Internet, 54(4), 695-702, 2017. Preface (in Chinese).
J. Wang, J. Cao, and W. Sheng. J. Computer Research and Development, Special Issue on Energy Internet, 54(4), 681-682, 2017. MacroServ: a Route Recommendation Service for Large-Scale Evacuations.
M. U. S. Khan, O. Khalid, Y. Huang, R. Ranjan, F. Zhang, J. Cao, B. Veeravalli, S. Khan, K. Li, and A. Zomaya.
IEEE Trans. Services Computing, 10(4), 589-602, 2017. Gravitational Wave and Gravitational-wave Sources (in Chinese).
W. Zhao, X. Zhang, X. Liu, Y. Zhang, Y. Wang, F. Zhang, Y. Zhao, Y. Guo, Y. Chen, S. Ai, Z. Zhu, X. Wang, E. Le Bigot, Z. Du, J. Cao, J. Qian, C. Yin, J. Wang, D. Blair, L. Ju, C. Zhao, and L. Wen.
Progress in Astronomy, 35(3), 316-344, 2017. The Data Analysis in Gravitational Wave Detection.
X. Wang, E. Le Bigot, Z. Du, J. Cao, Y. Wang, F. Zhang, Y. Cai, M. Li, Z. Zhu, J. Qian, C. Yin, J. Wang, W. Zhao, Y. Zhang, Z. Liu, D. Blair, L. Ju, C. Zhao, and L. Wen.
Chinese Astronomy and Astrophysics, 41(1), 1-31, 2017. Large Scale Parallel Computing for Power Signal Effective Values Based on FPGA in Monitoring System of Power Electronic Devices (in Chinese).
J. Yang, J. Cao, Z. Yuan, S. Zhang, H. Xie, J. Duan, and L. Li. Proc. of the CSEE, 36(Suppl. 1), 126-131, 2016. The Control Method of the New Energy's Power Accession Under the Open Structure of Energy Internet (in Chinese).
G. Ren, J. Cao, and Z. Hu. Southern Power System Technology, 10(Suppl. 1), 315-321, 2016. Design on the Mid-voltage Dynamic Voltage Restorer with Series Active Power Filter Function (in Chinese).
J. Yang, J. Cao, H. Zhang, and J. Le. Electrical Measurement and Instrumentation, 53(9), 105-111, 2016. Research on Local-area Energy Internet Control Technology Based on
Energy Switches and Energy Routers (in Chinese).
J. Wang, Y. Li, Z. Lu, W. Sheng, and J. Cao. Proc. of the CSEE, 36(13), 3433-3439, 2016. CAMP: a New Bitmap Index for Data Retrieval in Traffic Archival.
Y. Wu, Z. Chen, J. Cao, H. Li, C. Li, Y. Wang, W. Zheng, J. Chang, J. Zhou, Z. Hu, and J. Guo.
IEEE Communications Letters, 20(6), 1128-1131, 2016. A Fast PLL Algorithm for Dynamic Voltage Restorer During Voltage Imbalance Sag (in Chinese).
J. Hu, J. Cao, S. Zhang, J. Yang, Z. Yuan, Z. Hu, S. Yao, and H. Zhang.
Southern Power System Technology, 10(5), 87-93, 2016. A Review of Observation of Gravitational Waves from a Binary Black Hole Merger (in Chinese).
X. Fan, Y. Hu, Z. Du, X. Wang, and J. Cao.
Science & Technology Review, 34(3), 39-41, 2016. The Data Analysis in Gravitational Wave Detection (in Chinese).
X. Wang, E. Le Bigot, Z. Du, J. Cao, Y. Wang, F. Zhang, Y. Cai, M. Li, Z. Zhu, J. Qian, C. Yin, J. Wang, W. Zhao, Y. Zhang, Z. Liu, D. Blair, L. Ju, C. Zhao, and L. Wen.
Progress in Astronomy, 34(1), 50-73, 2016. COMBAT: a New Bitmap Index Coding Algorithm for Big Data.
Y. Wu, Z. Chen, Y. Wen, W. Zheng, and J. Cao. Tsinghua Science and Technology,
Special Section on Cloud Computing and Big Data, 21(2), 136-145, 2016. Survey of Big Data Analysis Technology for Energy Internet (in Chinese).
J. Cao, Z. Yuan, Y. Ming, and H. Zhang. Southern Power System Technology, 9(11), 1-12, 2015. Comprehensive Evaluation Method of Transient Power Quality Based on Big Data Analysis (in Chinese).
H. Zhang, Z. Zhu, S. Yao, T. Gao, J. Cao, X. Han, and M. Wang.
Southern Power System Technology, 9(6), 80-86, 2015. Almost Decouplability of any Directed Weighted Network Topology.
N. Cai, J. Cao, and M. J. Khan. Physica A: Statistical Mechanics and its Applications, 436, 637-645, 2015. Software-defined Information and Communication Technology for Energy Internet (in Chinese).
J. Cao, J. Wang, Y. Ming, M. Yang, K. Meng, L. Gao, and C. Lin. Proc. of the CSEE, 35(14), 3649-3655, 2015. Review on Information and Communication Key Technologies of Energy Internet (in Chinese).
J. Wang, J. Guo, J. Cao, L. Gao, Z. Hu, J. Zhou, Y. Ming, and Z. Fang. Smart Grid, 3(6), 473-485, 2015. Information Technology for Energy Internet: a Survey (in Chinese).
J. Wang, K. Meng, J. Cao, Z. Cheng, L. Gao, and C. Lin. J. Computer Research and Development, 52(5), 1109-1126, 2015. Study on Constructive Method of Chaotic Oscillator based Weak Signal Detection System and Response Speed Thereof (in Chinese).
T. Xie, J. Cao, and X. Lian. Computer Engineering and Applications, 51(9), 16-21, 2015. An Energy Storage System Smoothing Control Strategy based on Sliding Least Square Algorithm and Battery SOC (in Chinese).
T. Xie, J. Cao, T. Gao, X. Lian, and L. Dong. Power System Protection and Control, 43(5), 1-7, 2015. Adaptive Workflow Scheduling on Cloud Computing
Platforms with Iterative Ordinal Optimization.
F. Zhang, J. Cao, K. Hwang, K. Li, and S. U. Khan. IEEE Trans. Cloud Computing, 3(2), 156-168, 2015. A Task-level Adaptive MapReduce Framework for
Real-time Streaming Data in Healthcare Applications.
F. Zhang, J. Cao, S. U. Khan, K. Li, and K. Hwang. Future Generation Computer Systems,
Special Section on Software Tools and Techniques for
Big Data Computing in Healthcare Clouds, 43-44(2), 149-160, 2015. A Survey of Bitmap Index-Compression Algorithms for Big Data.
Z. Chen, Y. Wen, J. Cao, W. Zheng, J. Chang, Y. Wu, G. Ma, M. Hakmaoui, and G. Peng. Tsinghua Science and Technology,
Special Section on Cloud Computing and Big Data, 20(1), 100-115, 2015. Synthetic Control of Power Quality in a City Power Grid (in Chinese).
Z. Hu, Y. Han, S. Yao, Z. Huang, J. Cao, H. Zhang, P. Yu, S. Shi, and M. Wang.
High Voltage Engineering, 40(Suppl. 2), 1-19, 2014. Research on Cleaning Technology for Power Quality Monitoring Data (in Chinese).
H. Zhang, Z. Yang, S. Duan, S. Yao, J. Cao, and Y. Xu.
High Voltage Engineering, 40(Suppl. 2), 2014. Optimal Design of Energy Storage for Unified Power Quality Conditioners (in Chinese).
H. Zhang, Z. Zhu, Z. Hu, S. Yao, Z. Huang, S. Shi, X. Han, K. Deng, and J. Cao.
High Voltage Engineering, 40(Suppl. 2), 2014. A Controllability Synthesis Problem for Dynamic Multi-Agent Systems with Linear High-Order Protocol.
N. Cai, J. Cao, and M. J. Khan. Int. J. Control, Automation, and Systems, 12(6), 1366-1371, 2014. Evolutionary Scheduling of Dynamic Multitasking Workloads
for Big-data Analytics in Elastic Cloud.
F. Zhang, J. Cao, W. Tan, S. U. Khan, K. Li, and A. Y. Zomaya. IEEE Trans. Emerging Topics in Computing,
2(3), 338-351, 2014. The Laser Interferometer Gravitational Wave Detector (in Chinese).
Y. Wang, X. Zhu, J. Liu, Y. Ma, Z. Zhu, J. Cao, Z. Du, X. Wang, J. Qian, C. Yin, Z. Liu, D. Blair, L. Ju, and C. Zhao.
Progress in Astronomy, 32(3), 348-382, 2014. Energy Internet - an Infrastructure for Cyber-Energy Integration (in Chinese).
J. Cao, M. Yang, D. Zhang, Y. Ming, K. Meng, Z. Chen, and C. Lin.
Southern Power System Technology, 8(4), 1-10, 2014. An Energy Internet and Energy Routers (in Chinese).
J. Cao, K. Meng, J. Wang, M. Yang, Z. Chen, W. Li, and C. Lin.
SCIENTIA SINICA Informationis, 44(6), 714-727, 2014. A Method of Locating Voltage Disturbance Sources Based on FP-Growth Algorithm (in Chinese).
Y. Xu, J. Cao, X. Xu, B. Chen, and K. Deng.
East China Electric Power, 42(7), 1299-1304, 2014. Industrial Feasibility of Medium-voltage High-power Comprehensive
Treatment Device for Voltage Sags (in Chinese).
H. Zhang, S. Zhang, P. Yu, S. Yao, Z. Huang, S. Shi, Z. Hu, M. Wang, and J. Cao.
Smart Grid, 2(7), 9-14, 2014. Multi-Objective Scheduling of Many Tasks in Cloud Platforms.
F. Zhang, J. Cao, K. Li, S. U. Khan, and K. Hwang. Future Generation Computer Systems,
Special Section on Advances in Data-Intensive Modelling and Simulation, 37(7), 309-320, 2014. On Controllability Problems of High-Order Dynamical Multi-Agent Systems.
N. Cai, J. Cao, M. Liu, and H. Ma. Arab J. Science and Engineering, 39(6), 4261-4267, 2014. Swarm Stability Analysis of Nonlinear Dynamical Multi-Agent
Systems via Relative Lyapunov Function.
N. Cai, J. Cao, H. Ma, and C. Wang. Arab J. Science and Engineering, 39(3), 2427-2434, 2014. Node Placement Analysis for Overlay Networks in IoT Applications.
Y. Wan, J. Cao, K. He, H. Zhang, P. Yu, S. Yao, and K. Li. Int. J. Distributed Sensor Networks,
Special Issue on Advanced Technologies and Communication Solutions for Internet of Things, 427496(12), 2014. An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications.
Y. Wan, J. Cao, S. Zhang, G. Tu, C. Lu, X. Xu, and K. Li. Tsinghua Science and Technology,
Special Section on Smart Grid, 19(2), 133-143, 2014. Electricity Services Based Dependability Model of Power Grid Communication Networking.
J. Wang, K. Meng, J. Cao, Z. Chen, L. Gao, and C. Lin. Tsinghua Science and Technology,
Special Section on Smart Grid, 19(2), 121-132, 2014. Mobile Internet Big Data Platform in China Unicom.
W. Huang, Z. Chen, W. Dong, H. Li, B. Cao, and J. Cao. Tsinghua Science and Technology,
Special Issue on Cloud Computing and Big Data, 19(1), 95-101, 2014. Collaborative Network Security in Multi-Tenant Data Center for Cloud Computing.
Z. Chen, W. Dong, H. Li, P. Zhang, X. Chen, and J. Cao. Tsinghua Science and Technology,
Special Issue on Cloud Computing and Big Data, 19(1), 82-94, 2014. Optimal Power Allocation and Load Distribution for Multiple
Heterogeneous Multicore Server Processors across Clouds and Data Centers.
J. Cao, K. Li and I. Stojmenovic. IEEE Trans. Computers, Special Issue on Cloud of Clouds,
63(1), 45-58, 2014. Multiple Signal Classification for Gravitational Wave Burst Search.
J. Cao and Z. He. Proc. 3rd Galileo-Xu Guangqi Meeting, Int. J. Modern Physics:
Conference Series, 23, 74-81, 2013. Application of Machine Learning Algorithms to the Study of
Noise Artifacts in Gravitational-wave Data.
R. Biswas, L. Blackburn, J. Cao, R. Essick, K. A. Hodge, E. Katsavounidis, K. Kim, Y. Kim,
E. Le Bigot, C. Lee, J. J. Oh, S. H. Oh, E. J. Son, Y. Tao, R. Vaulin, and X. Wang.
Physical Review D, 88(6), 062003(24), 2013. MobSafe: Cloud Computing Based Forensic Analysis for Massive Mobile
Applications Using Data Mining.
J. Xu, Y. Yu, Z. Chen, B. Cao, W. Dong, Y. Guo, and J. Cao. Tsinghua Science and Technology,
Special Issue on Data Mining and Knowledge Discovery, 18(4), 418-427, 2013. TIFAflow: Enhancing Traffic Archiving System with Flow Granularity
for Forensic Analysis in Network Security.
Z. Chen, L. Ruan, J. Cao, Y. Yu, and X. Jiang. Tsinghua Science and Technology,
Special Issue on Data Mining and Knowledge Discovery, 18(4), 406-417, 2013. Design and Implementation of a Battery Management Emulation System (in Chinese).
M. Wang, J. Cao, C. Wei, and C. Lu. Smart Grid, 3(3), 59-67, 2013. QoS-Aware Virtual Machine Scheduling for Video Streaming Services
in Multi-Cloud.
W. Chen, J. Cao, and Y. Wan. Tsinghua Science and Technology,
Special Section on Cloud Computing, 18(3), 308-317, 2013. Optimal Multiserver Configuration for Profit Maximization in Cloud Computing.
J. Cao, K. Hwang, K. Li and A. Y. Zomaya. IEEE Trans. Parallel and Distributed Systems,
Special Issue on Cloud Computing, 24(6), 1087-1096, 2013. Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System.
Z. Chen, F. Han, J. Cao, and S. Chen. Tsinghua Science and Technology,
Special Section on Cloud Computing, 18(1), 40-50, 2013. Information System Architecture for Smart Grids (in Chinese).
J. Cao, Y. Wan, G. Tu, S. Zhang, A. Xia, X. Liu, Z. Chen, and C. Lu. Chinese J. Computers, 36(1), 143-167, 2013. Virtual Organization Based Secure Accessing and Sharing in Desktop Clouds (in Chinese).
W. Chen, J. Cao, and H. Qian. J. Integration Technology, 1(4), 25-29, 2012. Design and Implementation of Dynamic Virtual Organization Management System (in Chinese).
S. Cai, J. Cao, and X. Lin. J. Frontiers of Computer Science and Technology, 6(9), 779-787, 2012. Dynamic Control of Data Streaming and Processing in a Virtualized Environment.
J. Cao, W. Zhang, and W. Tan. IEEE Trans. Automation Science and Engineering, 9(2), 365-376, 2012. VOMES: a Virtual Organization Membership Evaluation System.
J. Cao and Z. Wang. Int. J. Networking and Virtual Organisations, 10(1), 88-108, 2012. Real-time Gravitational-wave Burst Search for Multi-messenger Astronomy.
J. Cao and J. Li. Int. J. Modern Physics D, 20(10), 2039-2042, 2011. Formal Verification of Temporal Properties for Reduced Overhead in Grid Scientific Workflows.
J. Cao, F. Zhang, K. Xu, L. Liu, and C. Wu. J. Computer Science and Technology, 26(6), 1017-1030, 2011. Performance Improvement of Distributed Systems by Autotuning of the Configuration Parameters.
F. Zhang, J. Cao, L. Liu, and C. Wu. Tsinghua Science and Technology, 16(4), 440-448, 2011. Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms.
F. Zhang, J. Cao, C. Hong, J. J. Mulcahy, and C. Wu. Int. J. Web Services Research, 8(3), 54-69, 2011. Redundant Virtual Machines Management in Virtualized Cloud Platform.
F. Zhang, J. Cao, C. Hong, L. Liu, and C. Wu. Int. J. Modeling, Simulation, and Scientific Computing, 2(2), 151-168, 2011. Grid Resource Management and Scheduling for Data Streaming Applications.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Computing and Informatics, 29, 1001-1028, 2010. Fuzzy Allocation of Fine-grained Compute Resources for Grid Data Streaming Applications.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Int. J. Grid and High Performance Computing, 2(4), 1-11, 2010. Cost Estimation of Advance Reservations over Queued Jobs: a Quantitative Study.
C. Zhao, J. Cao, H. Wu, and F. Zhang. Int. J. Modeling, Simulation, and Scientific Computing, 1(3), 317-332, 2010. Concurrent and Storage-Aware Data Streaming for Data Processing Workflows in Grid Environments.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Tsinghua Science and Technology, 15(3), 335-346, 2010. Remote Computing Resource Management from
Small Devices by Utilising WSRF.
S. Huang, M. VanHilst, J. Cao, and J. Mangs.
Int. J. Computer Aided Engineering and Technology, Special Issue on
Smart Homes: Technologies and Applications, 2(2-3), 199-217, 2010. Technology Challenges of Cyberinfrastructure (in Chinese).
J. Cao. Int. Academic Development, 5(2), 32-36, 2010. Cloud Manufacturing: a New Service-oriented Networked Manufacturing Model (in Chinese).
B. Li, L. Zhang, S. Wang, F. Tao, J. Cao, X. Jiang, X. Song, and X. Chai.
CIMS, 16(1), 1-8, 2010. Performance Prediction and its use in Parallel and
Distributed Computing Systems.
S. A. Jarvis, D. P. Spooner, H. N. Lin Choi Keung, J. Cao, S. Saini, and G. R. Nudd.
Future Generation Computer Systems, Special Section on System Performance
Analysis and Evaluation, 22(7), 745-754, 2006. Performance-aware Workflow Management for Grid Computing.
D. P. Spooner, J. Cao, S. A. Jarvis, L. He, and G. R. Nudd.
The Computer J., Special Focus - Grid Performability, 48(3), 347-357, 2005. Grid Load Balancing Using Intelligent Agents.
J. Cao, D. P. Spooner, S. A. Jarvis, and G. R. Nudd. Future Generation Computer Systems,
Special Issue on Intelligent Grid Environment: Principles and Applications, 21(1), 135-149, 2005.
ARMSim: a Modeling and Simulation Environment for Agent-based Grid Computing.
J. Cao. SIMULATION, Special Issue on Modeling and
Simulation Applications in Cluster and Grid Computing, 80(4-5), 221-229, 2004. Local Grid Scheduling Techniques Using Performance Prediction.
D. P. Spooner, S. A. Jarvis, J. Cao, S. Saini, and G. R. Nudd. IEE Proceedings -
Computers and Digital Techniques, 150(2), 87-96, 2003. ARMS: an Agent-based Resource Management System for Grid Computing.
J. Cao, S. A. Jarvis, S. Saini, D. J. Kerbyson, and G. R. Nudd.
Scientific Programming, Special Issue on Grid Computing, 10(2), 135-148, 2002. A Transaction Definition Language for Java Application Response Measurement.
J. D. Turner, D. P. Spooner, J. Cao, S. A. Jarvis, D. N. Dillenberger, and G. R. Nudd.
J. Computer Resource Management, 105, 55-65, 2002. High Performance Service Discovery in Large-Scale Multi-Agent and Mobile-Agent Systems.
J. Cao, D. J. Kerbyson, and G. R. Nudd.
Int. J. Software Engineering and Knowledge Engineering, Special Issue on Multi-Agent Systems and Mobile Agents,
11(5), 621-641, 2001. System Architecture of New CIMS Application Integration Platform (in Chinese).
J. Cao, Y. Fan, and C. Wu.
J. Tsinghua University, 39(7), 68-71, 1999. (also in Proc. 5th China CIMS Conference, Chengdu, PRC, 1998) Research of Operation Administration System Agents of Integration Platform (in Chinese).
J. Cao, Y. Fan, and C. Wu.
CIMS, 5(3), 39-43, 1999. Flexible Software Systems (in Chinese).
J. Cao and Y. Fan.
Computer Science, 26(2), 74-77, 1999. Deep Reinforcement Learning based Adaptive Control Strategy for Virtual Synchronous Generator.
X. Ding, J. Cao, and X. Wang. Proc. 2th Int. Conf. on Cyber-energy Systems and Intelligent Energy, Shenyang, China, 2024. Extended Super Twisting Finite-time Controller Design for DC/DC Buck Converters under Uncertain Conditions.
J. Yang, X. Ding, J. Cao, and H. Du. Proc. 6th Asia Energy and Electrical Engineering Symp., Chengdu, China, 2024. EMO-Music: Emotion Recognition based Music Therapy with Deep Learning on Physiological Signals.
H. Guo, J. Zhang, Y. Jiang, Y. Qi, S. Chen, Z. Chen, W. Lin, J. Cao, and S. Li.
Proc. 1st IEEE Int. Conf. on Artificial Intelligence for Medicine, Health, and Care, Laguna Hills, CA, USA, 10-13, 2024. Short-Term Load Forecasting via a Multi-Layer Network based on Feature Weight Optimization.
Y. Huang, J. Gan, Z. Wang, Z. Zhong, J. Liu, and J. Cao. Proc. 7th IEEE Int. Conf. on Energy Internet, Shenyang, China, 326-331, 2023. Load Forecast of Rail Transit Power System based on Dropout Echo State Network.
X. Mu and J. Cao. Proc. 7th IEEE Int. Conf. on Energy Internet, Shenyang, China, 299-303, 2023. Price Maker Optimization Strategy for Microgrid Alliance with Shared Energy Storage.
D. Liu and J. Cao. Proc. 7th IEEE Int. Conf. on Energy Internet, Shenyang, China, 119-123, 2023. Coordinated Operation and Control in Energy Internet using Machine Learning and Modeling Optimization.
Y. Ming, J. Cao, and S. Cai. Proc. 7th IEEE Int. Conf. on Energy Internet, Shenyang, China, 96-101, 2023. A Decentralized Identity based Energy Trading System over a Blockchain Network.
J. Guo, W. Yu, S. Ai, and J. Cao. Proc. 7th IEEE Int. Conf. on Energy Internet, Shenyang, China, 63-67, 2023. A Spatial-temporal Neural Network for Photovoltaic Power Prediction.
Y. Huang, J. Cao, and S. Cai. Proc. 13th Int. Conf. on Power and Energy Systems, Chengdu, China, 448-452, 2023. Supply Chain Perspective Oriented Business Mode of Renewable Energy Cloud and its Data Factors Application.
J. Guo, J. Cao, Y. Ming, and C. Qi. Proc. 9th IEEE Int. Conf. on Industrial Engineering and Applications, Sanya, China, 2022. Echo State Network based Noise Detection in Energy Internet Orienting Justice Blockchain Data.
H. Shi, J. Gu, Y. Ming, and J. Cao. Proc. 6th IEEE Int. Conf. on Energy Internet, Stavanger, Norway, 32-36, 2022. Metaverse Applications in Energy Internet.
C. Sun, J. Cao, R. Huo, L. Du, and X. Cheng. Proc. 6th IEEE Int. Conf. on Energy Internet, Stavanger, Norway, 7-12, 2022. Robust Control of Full Bridge Inverter Based on Improved High-order Sliding Mode Controller.
H. Zhang, Y. Li, Z. Wang, J. Yang, and J. Cao. Proc. 12th Int. Conf. on Power and Energy Systems, Guangzhou, China, 152-157, 2022. The Simulation of Noise Level Estimation for Energy Internet Load Data Prediction by Artificial Neural Network.
Y. Ming, J. Cao, Q. Wang, H. Zhang, and X. Wu. Proc. 2022 IEEE IAS Industrial and Commercial Power System Asia, Shanghai, China, 551-556, 2022. Blockchain-Based Distributed Reputation for a Cap-and-Trade Carbon Emission System.
D. Wang, D. Li, J. Ma, Z. Yan, Y. Li, T. Wang, S. Ai, and J. Cao. Proc. 5th IEEE Int. Conf. on Energy Internet, Southampton, UK, 197-204, 2021. PBFT-based Regional Energy Internet Blockchain Transaction Consensus.
D. Wang, H. Wang, Z. Yan, J. Ma, Y. Li, S. Ai, and J. Cao. Proc. 5th IEEE Int. Conf. on Energy Internet, Southampton, UK, 191-196, 2021. State Estimation of Energy Internet Using SCADA and PMU Data Based on Graph Convolutional Networks.
X. Wu, H. Zhang, S. Guo, and J. Cao. Proc. 5th IEEE Int. Conf. on Energy Internet, Southampton, UK, 102-106, 2021. Probabilistic Power Flow Calculation of Microgrid Based on l1-Minimization.
H. Liang, T. Wang, J. Guo, and J. Cao. Proc. 5th IEEE Int. Conf. on Energy Internet, Southampton, UK, 40-46, 2021. Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning?.
Z. Qin, H. Zhang, Y. Zhao, H. Xie, and J. Cao. Proc. 5th IEEE Int. Conf. on Energy Internet, Southampton, UK, 13-19, 2021. Robust Frequency Control for Green Energy Powered Edge Computing System.
H. Li, H. Zhang, Q. Wang, Y. You, Y. Li, H. Hua, and J. Cao. Proc. IEEE PES General Meeting, Washington, DC, USA, 1-5, 2021. Reactive Power Optimization for Voltage Stability in Energy Internet Based on
Graph Convolutional Networks and Deep Q-learning.
S. Guo and J. Cao. Proc. 4th IEEE Int. Conf. on Industrial Cyber-Physical Systems, Victoria, BC, Canada, 511-516, 2021. Cloud-Edge Collaborative Optimization for Information Layer of Energy Internet.
Y. Li, H. Hua, J. Guo, and J. Cao. Proc. 10th Int. Conf. on Power and Energy Systems, Chengdu, China, 579-584, 2020. Optimal Electricity Trading Strategy for a Household Microgrid.
Z. Qin, H. Hua, H. Liang, R. Herzellah, Y. Zhou, and J. Cao. Proc. 16th IEEE Int. Conf. on Control & Automation, Sapporo, Hokkaido, Japan, 1308-1313, 2020. Distributed Multi-Factor Electricity Transaction Matching Mechanism based on Blockchain.
S. Ai, D. Hu, J. Guo, Y, Jiang, C. Rong, and J. Cao. Proc. 4th IEEE Int. Conf. on Energy Internet, Sydney, Australia, 121-127, 2020. Noise Level Estimation in Energy Internet Based on Artificial Neural Network.
Y. Ming, J. Cao, and H. Hua. Proc. 4th IEEE Int. Conf. on Energy Internet, Sydney, Australia, 80-85, 2020. A Blockchain based Distributed Controllable Electricity Transaction Matching System.
S. Ai, D. Hu, J. Guo, Y, Jiang, C. Rong, and J. Cao. Proc. 4th IEEE Int. Conf. on Energy Internet, Sydney, Australia, 56-62, 2020. Blockchain based Power Transaction Asynchronous Settlement System.
S. Ai, D. Hu, T. Zhang, Y. Jiang, C. Rong, and J. Cao. Proc. 91st IEEE Vehicular Technology Conf., Antwerp, Belgium, 1-6, 2020. Data Quality Analysis Framework and Evaluation Methods for Power System Operation with
High Proportion of Renewable Energy Penetration.
J. Wang, Y. Li, J. Guo, J. Cao, H. Hua, C. Xing, C. Qi, and Z. Pi. Proc. 7th IEEE Int. Conf. on
Industrial Engineering and Applications, Bangkok & Phuket, Thailand, 687-692, 2020. Distributed Power Dispatching Solution for A Future Economic and Environment-friendly Energy Internet.
Y. Li, Z. Qin, F. Zhang, Y. Qin, H. Hua, and J. Cao. Proc. 9th Int. Conf. on
Informatics, Environment, Energy and Applications, Amsterdam, Netherlands, 72-77, 2020. Stochastic Distributed Control for Frequency Regulation in Energy Internet: an ADMM Approach.
G. Zhang, Y. Qin, Y. Li, H. Hua, Z. Qin, and J. Cao. Proc. 9th Int. Conf. on Power and Energy Systems, Perth, Australia, 1-6, 2019. Energy Internet System Control and Optimization: a Stochastic Risk-Sensitive Control Approach.
Y. Qin, H. Hua, and J. Cao. Proc. 15th IEEE Int. Conf. on Control & Automation, Edinburgh, Scotland, 79-84, 2019. Towards Intelligent Energy Control and Optimization in Energy Internet: a Review.
H. Hua and J. Cao. Proc. 3rd IEEE Int. Conf. on Energy Internet, Nanjing, China, 573-578, 2019. Hybrid Computing Hierarchy based on-Line Analysis Service for Power Dispatching and Control System.
J. Guo, S. Zhang, J. Cao, J. Yang, Y. Luo, and J. Li. Proc. 3rd IEEE Int. Conf. on Energy Internet, Nanjing, China, 527-530, 2019. A Smart Contract-based Energy Trading Strategy in Energy Internet.
H. You, H. Hua, and J. Cao. Proc. 3rd IEEE Int. Conf. on Energy Internet, Nanjing, China, 478-483, 2019. Short-Term Energy Cache Regulation for Energy Router: a Robust H∞ Approach.
Y. Qin, H. Hua, and J. Cao. Proc. 3rd IEEE Int. Conf. on Energy Internet, Nanjing, China, 161-166, 2019. A Novel Power Router with General AC and DC Port.
T. Zhang, G. Yao, L. Zhou, N. Jin, J. Cao, J. Hu, and C. Hao.
Proc. 34th IEEE Applied Power Electronics Conf. and Expo., Anaheim, CA, USA, 3159-3163, 2019. From Insight to Impact: Building a Sustainable Edge Computing Platform for Smart Homes.
X. Chang, W. Li, C. Xia, J. Ma, J. Cao, S. Khan, and A. Zomaya.
Proc. 24th Int. Conf. on Parallel and Distributed Systems, Sentosa, Singapore, 928-936, 2018. Robust Controller Design for Energy Router in Energy Internet via Mixed H2/H∞ Control Technique.
H. Hua, Y. Qin, and J. Cao. Proc. 10th IEEE PES Asia-Pacific Power and Energy Engineering Conf., Sabah, Malaysia, 457-462, 2018. Stochastic Optimal Control Scheme for Operation Cost Management in Energy Internet.
H. Hua, Y. Qin, and J. Cao. Proc. 10th IEEE PES Asia-Pacific Power and Energy Engineering Conf., Sabah, Malaysia, 445-450, 2018. A Class of Optimal and Robust Controller Design for Energy Routers in Energy Internet.
C. Hao, H. Hua, Y. Qin, and J. Cao. Proc. 6th IEEE Int. Conf. on Smart Energy Grid Engineering, Oshawa, Ontario, Canada, 14-19, 2018. Stochastic Robust H∞ Control Strategy for Coordinated Frequency Regulation
in Energy Internet Considering Time Delay and Uncertainty.
H. Hua, C. Hao, Y. Qin, and J. Cao. Proc. 13th World Congress on Intelligent Control and Automation, Changsha, China, 111-118, 2018. Stochastic Optimal and Robust Control Scheme for Islanded AC Microgrid.
H. Hua, Y. Qin, J. Cao, W. Wang, Q. Zhou, Y. Jin, Z. Zhao, and J. Jin.
Proc. 2018 IEEE Int. Conf. on Probabilistic Methods Applied to Power Systems, Boise, ID, USA, 1-6, 2018. Coordinated Frequency Control for Multiple Microgrids in Energy Internet: a Stochastic H∞ Approach.
H. Hua, Y. Qin, and J. Cao. Proc. 2018 IEEE PES Innovative Smart Grid Technologies Asia Conf., Singapore, 810-815, 2018. Deep Learning-based Distributed Optimal Control for Wide Area Energy Internet.
G. Yang, J. Cao, H. Hua, and Z. Zhou. Proc. 2nd IEEE Int. Conf. on Energy Internet, Beijing, China, 292-297, 2018. Electrical Load Prediction in Energy Internet via Linear Correlation Coefficient Approach.
Y. Ming and J. Cao. Proc. 2nd IEEE Int. Conf. on Energy Internet, Beijing, China, 157-162, 2018. Design and Application of Standardized Power and Communication Module for Energy Router.
C. Hao and J. Cao. Proc. 2nd IEEE Int. Conf. on Energy Internet, Beijing, China, 13-18, 2018. A Class of Optimal and Robust Controller Design for Islanded Microgrid.
H. Hua, Y. Qin, and J. Cao. Proc. 7th IEEE Int. Conf. on Power and Energy Systems, Toronto, Canada, 111-116, 2017. Space Energy Internet System.
C. Wang, J. Cao, and F. Li. Proc. 4th Int. Conf. on Information Science and Control Engineering, Xiamen, China, 1713-1716, 2017. CODIS: A New Compression Scheme for Bitmap Indexes.
W. Zheng, Y. Liu, Z. Chen, and J. Cao. Proc.
ACM/IEEE Symp. on Architectures for Networking and Communications Systems, Beijing, China, 103-104, 2017. (poster) An Open Energy Routing Network for Low-Voltage Distribution Power Grid.
X. Han, F. Yang, C. Bai, G. Xie, G. Ren, H. Hua, and J. Cao. Proc. 1st IEEE Int. Conf. on Energy Internet, Beijing, China, 320-325, 2017. Short Term Load Forecasting Based on IGSA-ELM Algorithm.
W. Zhang, H. Hua, and J. Cao. Proc. 1st IEEE Int. Conf. on Energy Internet, Beijing, China, 296-301, 2017. Energy Efficient Community Coding and Capacitive Sensing for Space Energy Internet.
F. Li, J. Cao, and C. Wang. Proc. 1st IEEE Int. Conf. on Energy Internet, Beijing, China, 210-215, 2017. Synchronized Processing of Distributed Signals for Smart Grid Applications.
G. Tu, J. Cao, Y. Wan, S. Zhang, C. Lu, and H. Zhang. Proc.
2016 IEEE PES Int. Conf. on Power Systems Technology, Wollongong, NSW, Australia, 2016. A New Transient Voltage Stability Prediction Model using Big Data Analysis.
B. Zhao, J. Cao, Z. Zhu, and H. Zhang. Proc.
2016 IEEE PES Innovative Smart Grid Technologies Asia Conf., Melbourne, Australia, 1065-1069, 2016. Privacy Protection Based on Oblivious Transfer in Content-Centric Networking.
R. Chen, Z. Chen, J. Cao, Z. Hu, J. Zhou, and J. Guo. Proc.
6th Int. Conf. on Networking and Distributed Computing, Beijing, China, CCIS 665, 2016. Implementation of Clean NDN with Network Virtualization.
J. Cao, S. Chen, Z. Chen, G. Ma, Z. Hu, J. Zhou, and J. Guo. Proc.
6th Int. Conf. on Networking and Distributed Computing, Beijing, China, CCIS 665, 2016. Underlay Implementation of Named Data Networking.
J. Cao, S. Chen, Z. Chen, G. Ma, Z. Yuan, Z. Hu, J. Zhou, and J. Guo. Proc.
6th Int. Conf. on Networking and Distributed Computing, Beijing, China, CCIS 665, 2016. BAH: a Bitmap Index Compression Algorithm for Fast Data Retrieval.
C. Li, Z. Chen, W. Zheng, Y. Wu, and J. Cao. Proc.
41st IEEE Int. Conf. on Local Computer Networks, Dubai, UAE, 2016. MASC: a Bitmap Index Encoding Algorithm for Fast Data Retrieval.
Y. Wen, H. Wang, Z. Chen, J. Cao, G. Peng, W. Huang, Z. Hu, J. Zhou, and J. Guo. Proc.
2016 IEEE Int. Conf. on Communications - Symp. Selected Areas in Communications, Kuala Lumpur, Malaysia, 1-6, 2016. A Cyber-Physical Modeling and Simulation Environment for Energy Internet.
J. Cao, G. Yang, Y. Ming, Z. Hu, and J. Li. Proc.
2016 Global Energy Interconnection Vol. II, Beijing, China, 732-741, 2016. Voltage Sag Diagnosis Using Big Data Analysis.
B. Zhao, Z. Yuan, J. Cao, H. Zhang, Z. Zhu, and S. Yao. Proc.
Int. Conf. on Information Technologies in Education and Learning,
conj. 5th Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 113-117, 2015. Comprehensive Multi-objective Optimization of Energy Storage Units for Unified Power Quality Conditioners (in Chinese).
H. Zhang, Z. Zhu, S. Yao, H. Liu, X. Han, and J. Cao. Proc.
Annual Conf. of Chinese Society for Electrical Engineering, Wuhan, China, 2015. NDSS: a Named Data Storage System.
S. Chen, J. Cao, and L. Zhu. Proc.
2015 IEEE Int. Conf. on Cloud and Autonomic Computing, Cambridge, MA, USA, 196-199, 2015. Named Service Networking.
S. Chen, J. Cao, and L. Zhu. Proc.
10th IEEE Int. Conf. on Networking, Architecture, and Storage, Boston, MA, USA, 315-320, 2015. A General Analytical Model for Spatial and Temporal Performance of Bitmap Index Compression Algorithms in Big Data.
Y. Wu, Z. Chen, Y. Wen, J. Cao, W. Zheng, and Ge Ma. Proc.
24th Int. Conf. on Computer Communications and Networks, Las Vegas, NV, USA, 1-10, 2015. SPLWAH: a Bitmap Index Compression Scheme for Searching in Archival Internet Traffic.
J. Chang, Z. Chen, W. Zheng, J. Cao, Y. Wen, G. Peng, and W. Huang. Proc.
2015 IEEE Int. Conf. on Communications - Communication and Information Systems Security Symp., London, UK, 7089-7094, 2015. Power Quality Data Compression Using Principal Component Analysis.
H. Zhang, Z. Zhu, S. Yao, B. Zhao, and J. Cao. Proc.
23rd Int. Conf. on Electricity Distribution, Lyon, France, Paper 0458, 2015. Clustering based Online Identification of Secondary Dynamic Parameters for
Measurement based Composite Load Modeling.
S. Zhang, X. Liu, J. Cao, G. Tu, Y. Wan, C. Lu, and Y. Han. Proc.
6th IEEE PES Conf. on Innovative Smart Grid Technologies, Washington DC, USA, 1-5, 2015. BreadZip: a Combination of Network Traffic Data and Bitmap Index Encoding Algorithm.
G. Ma, Z. Guo, X. Li, Z. Chen, J. Cao, Y. Jiang, and X. Guo. Proc.
2014 IEEE Int. Conf. on Systems, Man and Cybernetics, San Diego, CA, USA, 3235-3240, 2014. A Tentative Comparison on CDN and NDN.
G. Ma, Z. Chen, J. Cao, Z. Guo, Y. Jiang, and X. Guo. Proc.
2014 IEEE Int. Conf. on Systems, Man and Cybernetics, San Diego, CA, USA, 2893-2898, 2014. Optimization of the Power Quality Monitor Number in Smart Grid.
Y. Wan, J. Cao, H. Zhang, Z. Zhu, and S. Yao. Proc.
5th IEEE Int. Conf. on Smart Grid Communications, Venice, Italy, 236-241, 2014. Transient Power Quality Assessment based on Big Data Analysis.
Z. Huang, T. Gao, H. Zhang, X. Han, J. Cao, Z. Hu, S. Yao, and Z. Zhu. Proc.
2014 China Int. Conf. on Electricity Distribution, Shenzhen, China, 1308-1312, 2014. Influence Analysis on Start and End Time of Disturbance for
Disturbance Identification Based on Lifting Wavelet (in Chinese).
H. Zhang, Z. Yang, J. Cao, and M. Wang. Proc.
7th China Symp. on Power Quality, Chengdu, China, 364-372, 2014. PLWAH+: A Bitmap Index Compressing Scheme based on PLWAH.
J. Chang, Z. Chen, W. Zheng, Y. Wen, J. Cao, and W. Huang. Proc.
10th ACM/IEEE Symp. on Architectures for Networking and Communications Systems,
Marina del Rey, CA, USA, 257-258, 2014. SECOMPAX: a Bitmap Index Compression Algorithm.
Y. Wen, Z. Chen, G. Ma, J. Cao, W. Zheng, G. Peng, S. Li, and W. Huang. Proc.
23rd Int. Conf. on Computer Communication and Networks, Shanghai, China, 1-7, 2014. The Design of Regional Compensation DVR in Medium Voltage System.
H. Zhang, S. Yao, Z. Zhu, J. Cao, and J. Yang. Proc.
6th Int. Conf. on Electronics and Information Engineering, Beijing, China,
in Applied Mechanics and Materials, 654, 146-155, 2014. The Design of Filter Parameters of Dynamic Voltage Restorer in Medium Voltage Network.
H. Zhang, S. Yao, Z. Zhu, J. Cao, and T. Mao. Proc.
6th Int. Conf. on Electronics and Information Engineering, Beijing, China,
in Applied Mechanics and Materials, 654, 133-141, 2014. Study on the Feeder Selection method for 10kV Regional Compensation Type Dynamic Voltage Restorer.
H. Zhang, S. Yao, Z. Zhu, J. Cao, and Y. Liu. Proc.
3rd Int. Conf. on Automatic Control and Mechatronic Engineering, Xiamen, China,
in Applied Mechanics and Materials, 615, 290-297, 2014. Energy Saving Analysis of Harmonic Suppression in a Distribution Network.
K. Deng, J. Cao, P. Guo, and X. Xu. Proc.
4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 121-125, 2013. From Power Quality to Power Experience.
T. Gao, J. Cao, Y. Xu, H. Zhang, P. Yu, and S. Yao. Proc.
4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 116-120, 2013. Data Cleaning for Power Quality Monitoring.
Z. Yang, J. Cao, Y. Xu, H. Zhang, P. Yu, and S. Yao. Proc.
4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 111-115, 2013. Energy Internet - Towards Smart Grid 2.0.
J. Cao and M. Yang. Proc.
4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 105-110, 2013. Redundant Lifting Wavelet Transform in Power Quality Transient Events Analysis (in Chinese).
H. Zhang, Z. Yang, J. Cao, S. Yao, and P. Yu. Proc.
Annual Conf. of Chinese Society for Electrical Engineering, Chengdu, China, 2013. Quality of Power Experience (in Chinese).
H. Zhang, T. Gao, J. Cao, Y. Xu, P. Yu, and S. Yao. Proc.
Annual Forum of China Southern Power Grid, Guangzhou, China, 2013. Enabling Distributed Computing Systems with elopTM.
J. Cao, S. Chen, Y. Wan, and W. Chen. Proc.
3rd Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 49-53, 2012. Live Streaming with Content Centric Networking.
H. Xu, Z. Chen, R. Chen, and J. Cao. Proc.
3rd Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 1-5, 2012. Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds.
F. Zhang, J. Cao, K. Hwang, and C. Wu. Proc.
3rd IEEE Int. Conf. on Cloud Computing Technology and Science, Athens, Greece, 9-17, 2011. Customized Virtual Machines for Software Provisioning in Scientific Clouds.
W. Chen, J. Cao, and Z. Li. Proc.
2nd Int. Conf. on Networking and Distributed Computing, Beijing, China, 240-243, 2011. Large-scale Real-time Data-driven Scientific Applications.
J. Cao and J. Li. Proc.
2nd Int. Conf. on Networking and Distributed Computing, Beijing, China, 116-121, 2011. Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms.
F. Zhang, J. Cao, H. Cai, J. J. Mulcahy, and C. Wu. Proc.
6th IEEE Int. Conf. on Networking, Architecture, and Storage, Dalian, China, 11-19, 2011. How Are You Feeling? A Social Network Model to Monitor the Health of Post-Operative and Remote Patients.
J. J. Mulcahy, S. Huang, J. Cao, and F. Zhang. Proc.
IEEE Int. Systems Conf., Montreal, Canada, 149-154, 2011. AMREF: An Adaptive MapReduce Framework for Real Time Applications.
F. Zhang, J. Cao, X. Song, H. Cai, and C. Wu. Proc.
9th Int. Conf. on Grid and Cloud Computing, Nanjing, China, 157-162, 2010. Adjacent Matrix based Deduction for Grid Workflow Applications.
F. Zhang, J. Cao, L. Liu, and C. Wu. Proc.
1st Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 349-356, 2010. Performance Prediction and Evaluation.
S. Jarvis, M. Coppola, J. Cao, and D. Kerbyson. Proc.
16th Int. Euro-Par Conf. on Parallel Processing, LNCS 6271 PART 1, 86-87, 2010. Development of a DMT Monitor for Statistical Tracking of Gravitational-wave Burst Triggers Generated from the Omega Pipeline.
J. Li and J. Cao. Proc. 9th Asia-Pacific Int. Conf. on Gravitation and Astrophysics, Wuhan, China, 92-101, 2010. Committee-based Evaluation and Selection of Grid Resources for QoS Improvement.
Z. Wang and J. Cao. Proc. 10th IEEE/ACM Int. Conf. on
Grid Computing, Banff, Alberta, Canada, 138-144, 2009. Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization.
F. Zhang, J. Cao, L. Liu, and C. Wu. Proc.
38th Int. Conf. on Parallel Processing Workshops, Vienna, Austria, 190-197, 2009. Enhanced Adaptive Scheduling for the Grid Harvest Service.
W. Sliamu, Y. Hou, and J. Cao.
Proc. WRI World Congress on Software Engineering, Vol. 1, Xiamen, China, 35-39, 2009. Block-based Concurrent and Storage-aware Data Streaming for Grid Applications with Lots of Small Files.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu.
Proc. 1st Int. Workshop on Service-Oriented P2P Networks and Grid Systems,
conj. 9th IEEE Int. Symp. on Cluster Computing and the Grid, Shanghai, China, 538-543, 2009. Enabling Access to WSRF from Mobile Devices.
J. C. Mangs, S. Huang, and J. Cao.
Proc. 4th Int. Conf. on Semantics, Knowledge and Grid,
Beijing, China, 392-395, 2008. Agile Data Streaming for Grid Applications.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu.
Proc. 2nd Int. Workshop on Personalization in Grid and Service Computing,
conj. 7th Int. Conf. on Grid and Cooperative Computing, Shenzhen, China, 739-746, 2008. Qualification Evaluation in Virtual Organizations
Based on Fuzzy Analytic Hierarchy Process.
F. Zhang, J. Cao, L. Liu, and C. Wu.
Proc. 7th Int. Conf. on Grid and Cooperative Computing, Shenzhen, China, 539-547, 2008. An Integrated Resource Management and Scheduling System
for Grid Data Streaming Applications.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Proc. 9th IEEE/ACM Int. Conf. on
Grid Computing, Tsukuba, Japan, 258-265, 2008. Storage Aware Resource Allocation for Grid Data Streaming Pipelines.
W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Proc. 2008 IEEE Int. Conf. on Networking,
Architecture, and Storage, Chongqing, China, 179-180,
2008. (short paper) Performance Optimization of Temporal Reasoning
for Grid Workflows Using Relaxed Region Analysis.
K. Xu, J. Cao, L. Liu, and C. Wu.
Proc. 22nd IEEE Int. Conf. on Advanced Information Networking and Applications
Workshops, GinoWan, Okinawa, Japan, 187-194, 2008. Scheduling Remote Access to Scientific
Instruments in Cyberinfrastructure for Education and Research.
J. Yin, J. Cao, Y. Wang, L. Liu, and C. Wu.
Proc. 7th IEEE/ACM Int. Symp. on
Cluster Computing and the Grid, Rio de Janeiro, Brazil, 426-433, 2007.
Grid Enabled LIGO Data Monitoring.
J. Cao, E. Katsavounidis, and J. Zweizig. Proc. IEEE/ACM Supercomputing Conf.,
Seattle, WA, USA, 2005. (poster, also as LIGO Document No. G050573-00-E, 2005) Self-Organizing Agents for Grid Load Balancing.
J. Cao. Proc. 5th IEEE/ACM Int. Workshop on Grid Computing, conj. Supercomputing Conf.,
Pittsburgh, PA, USA, 388-395, 2004. (also as
Technical Report LR-04-205, NEC Corporation, 2004) A Finite Element Based Tool Chain for the Planning and Simulation of Maxillo-Facial Surgery.
J. G. Schmidt, G. Berti, J. Fingberg, J. Cao, and G. Wollny. Proc. 4th European Congress on
Computational Methods in Applied Sciences and Engineering, Jyvaskyla, Finland, 2004. (also as
Technical Report LR-04-197, NEC Corporation, 2004) Queue Scheduling and Advance Reservations with COSY.
J. Cao and F. Zimmermann. Proc. 18th IEEE Int. Parallel & Distributed
Processing Symp., Santa Fe, NM, USA, 63, 2004. (also as
Technical Report LR-03-189, NEC Corporation, 2003) Implementation of Grid-enabled Medical Simulation Applications Using Workflow Techniques.
J. Cao, J. Fingberg, G. Berti, and J. G. Schmidt.
Proc. 2nd Int. Workshop on Grid and Cooperative Computing, Shanghai, China, LNCS 3032, 34-41, 2003.
(also as Technical Report LR-03-185, NEC Corporation, 2003) GridFlow: Workflow Management for Grid Computing.
J. Cao, S. A. Jarvis, S. Saini and G. R. Nudd. Proc. 3rd IEEE/ACM Int. Symp. on
Cluster Computing and the Grid, Tokyo, Japan, 198-205, 2003. Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling.
J. Cao, D. P. Spooner, S. A. Jarvis, S. Saini and G. R. Nudd. Proc. 17th IEEE Int. Parallel & Distributed
Processing Symp., Nice, France, 49, 2003. Performance Prediction and its use in Parallel and Distributed Computing Systems.
S. A. Jarvis, D. P. Spooner, H. N. Lin Choi Keung, J. Cao, S. Saini, and G. R. Nudd.
Proc. 2nd Int. Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, conj.
17th IEEE Int. Parallel & Distributed Processing Symp., Nice, France, 276, 2003. Performance-based Workload Management for Grid Computing.
D. P. Spooner, S. A. Jarvis, J. Cao, G. R. Nudd, S. Saini and D. J. Kerbyson.
Proc. 3rd Annual Symp. of Los Alamos Computer Science Institute, Santa Fe, NM, USA, 2002. Grid Information Services Using Software Agents.
H. N. Lin Choi Keung, J. Cao, D. P. Spooner, S. A. Jarvis and G. R. Nudd.
Proc. 18th Annual UK Performance Engineering Workshop, Glasgow, UK, 187-198, 2002. Localised Workload Management using Performance Prediction and QoS Contracts.
D. P. Spooner, J. Cao, J. D. Turner, H. N. Lin Choi Keung, S. A. Jarvis and G. R. Nudd.
Proc. 18th Annual UK Performance Engineering Workshop, Glasgow, UK, 69-80, 2002. Agent-based Resource Management for Grid Computing.
J. Cao, D. P. Spooner, J. D. Turner, S. A. Jarvis, D. J. Kerbyson, S. Saini and G. R. Nudd.
Proc. 2nd Int. Workshop on Agent based Cluster and Grid Computing, conj.
2nd IEEE/ACM Int. Symp. on Cluster Computing and the Grid, Berlin, Germany, 350-351, 2002. (short paper) Performance Prediction Technology for Agent-based Resource Management in Grid Environments.
J. Cao, S. A. Jarvis, D. P. Spooner, J. D. Turner, D. J. Kerbyson and G. R. Nudd.
Proc. 11th IEEE Heterogeneous Computing Workshop, conj. 16th IEEE Int. Parallel & Distributed
Processing Symp., Fort Lauderdale, FL, USA, 86, 2002. Use of Agent-based Service Discovery for Resource Management in Metacomputing Environment.
J. Cao, D. J. Kerbyson and G. R. Nudd.
Proc. 7th Int. Euro-Par Conf., Manchester, UK, LNCS 2150, 882-886, 2001. (research note) Application Characterisation Using a Lightweight Transaction Model.
D. P. Spooner, J. D. Turner, J. Cao, S. A. Jarvis and G. R. Nudd.
Proc. 17th Annual UK Performance Engineering Workshop, Leeds, UK, 215-225, 2001. Performance Evaluation of an Agent-Based Resource Management Infrastructure for Grid Computing.
J. Cao, D. J. Kerbyson and G. R. Nudd.
Proc. 1st IEEE/ACM Int. Symp. on Cluster Computing and the Grid, Brisbane, Australia, 311-318, 2001. Dynamic Application Integration Using Agent-Based Operational Administration.
J. Cao, D. J. Kerbyson and G. R. Nudd.
Proc. 5th Int. Conf. on the Practical Application of Intelligent Agents and Multi-Agent Technology, Manchester, UK, 393-396, 2000. Performance Modeling of Parallel and Distributed Computing Using PACE.
J. Cao, D. J. Kerbyson, E. Papaefstathiou and G. R. Nudd.
Proc. 19th IEEE Int. Performance, Computing and Communications Conf., Phoenix, AZ, USA, 485-492, 2000. Agent-Aided Software Engineering of High Performance Applications.
J. Cao.
Proc. 12th Int. Conf. on Software & Systems Engineering and their Applications, Paris, France, 1999. Evaluation of Advertising Effectiveness Using Agent-Based Modeling and Simulation.
J. Cao.
Proc. 2nd UK Workshop of SIG on Multi-Agent Systems, Bristol, UK, 1999. Modelling of ASCI High Performance Applications Using PACE.
J. Cao, D. J. Kerbyson, E. Papaefstathiou and G. R. Nudd.
Proc. 15th Annual UK Performance Engineering Workshop, Bristol, UK, 413-424, 1999. Application and Suggestions of Artificial General Intelligence in the Fields of Energy Internet and "Double Carbon"
(in Chinese). J. Cao. In State Power Investment Corporation Ltd. and China Center for International Economic Exchanges (Eds.),
Report on the Peak Carbon Emission and Carbon Neutrality (2023),
Social Sciences Academic Press (China), 209-219, 2023. Utilization of Big Data in Energy Internet Infrastructure.
S. Ai, C. Rong, and J. Cao. In A. F. Zobaa and J. Cao (Eds.), Energy Internet Systems and Applications,
Springer Verlag, 297-320, 2020. Energy Internet Systems and Applications.
A. F. Zobaa and J. Cao (Eds.). Springer Verlag, 2020. Power Internet of Things
(in Chinese). J. Cao (Eds.). China Electric Power Press, 2020. Energy Use and the Internet.
J. Cao, H. Hua, and G. Ren. In B. Warf (Ed.), The SAGE Encyclopedia of the Internet,
SAGE Publications, 344-350, 2018. Synthetic Control of Power Quality in a City Power Grid
(in Chinese). J. Cao, Z. Hu, H. Zhang, W. Liu, M. Wang, S. Yao, Z. Zhu, and J. Sun. China Electric Power Press, 2017. Proc. 1st IEEE Int. Conf. on Energy Internet.
J. Cao, J. Wang, W. Liu, and K. Xie (Eds.).
IEEE Computer Society, 2017. Energy Internet and Energy Systems
(in Chinese). J. Cao and J. Sun. China Electric Power Press, 2016. Energy Internet (in Chinese). Y. Han, Y. Yu, Q. Huang, S. Peng, J. Cao, C. Wang, and X. Xie. In China Academy of Engineering S&T Strategy for Development (Eds.),
Report on the Development of China's Strategyic Emerging Industries (2015),
China Science Publishing, 183-203, 2014. Big Data Engineering on Internet Traffic
(in Chinese). Z. Chen, W. Huang, and J. Cao (Eds.). Tsinghua University Press, 2014. Content-Centric Networking
(in Chinese). Z. Chen, J. Cao, and H. Yin (Eds.). Tsinghua University Press, 2014. Proc. 4th IEEE Int. Conf. on
Networking and Distributed Computing.
L. Huang, K. K. Lai, J. Cao, and M. Li (Eds.),
IEEE Computer Society, 2013. Infomation-Centric Networking
(in Chinese). Z. Chen and J. Cao (Eds.). Tsinghua University Press, 2013. Proc. 2nd Int. Conf. on
Networking and Distributed Computing.
L. Huang, J. Cao, M. Li, and S. A. Jarvis (Eds.),
IEEE Computer Society, 2011. Adaptive Query Processing in Data Grids.
C. Zhao, J. Cao, H. Wu, W. Chen, X. Sun, W. Zhang, and Y. Hou.
In N. Antonopoulos, G. Exarchakos, M. Li, and A. Liotta (Eds.),
Handbook of Research on P2P and Grid Systems for Service-Oriented Computing:
Models, Methodologies and Applications,
IGI Global, 382-395, 2010. Cyberinfrastructure Technologies and Applications.
J. Cao (Ed.),
Nova Science Publishers, 2009. Federal Management of Virtual Organizations with Trust Evaluation.
Z. Wang and J. Cao. In J. Cao (Ed.), Cyberinfrastructure Technologies and Applications,
Nova Science Publishers, 223-241, 2009. From Enabling to Ensuring Grid Workflows.
J. Cao, F. Zhang, K. Xu, L. Liu, and C. Wu.
In L. Wang, J. Chen and W. Jie (Eds.), Quantitative Quality of Service for Grid Computing:
Applications for Heterogeneity, Large-Scale Distribution and Dynamic Environments,
IGI Global, 46-73, 2009. Grid Data Streaming.
W. Zhang, J. Cao, L. Liu, and C. Wu.
In J. Wong (Ed.), Grid Computing Research Progress, Nova Science Publishers, 267-290, 2008. Performance Prediction Techniques for Large-Scale Distributed Environments.
S. A. Jarvis, D. P. Spooner, G. R. Mudalige, J. Cao, and G. R. Nudd.
In M. Ould-Khaoua and G. Min (Eds.), Performance Evaluation of Parallel, Distributed and
Emergent Systems (Volume 1 in Distributed, Cluster and Grid Computing),
Nova Science Publishers, 269-288, 2007. Performance Evaluation of Self-Organizing Agents for Grid Computing.
J. Cao. In M. Ould-Khaoua and G. Min (Eds.), Performance Evaluation of Parallel, Distributed and
Emergent Systems (Volume 1 in Distributed, Cluster and Grid Computing),
Nova Science Publishers, 207-221, 2007. A Case Study on the Use of Workflow Technologies
for Scientific Analysis: Gravitational Wave Data Analysis.
D. A. Brown, P. R. Brady, A. Dietz, J. Cao, B. Johnson, and J. McNabb.
In I. J. Taylor, D. Gannon, E. Deelman and M. S. Shields (Eds.),
Workflows for e-Science: Scientific Workflows for Grids,
Springer Verlag, 39-59, 2007. Multi-Agent Systems: Theories, Methods and Applications
(in Chinese). Y. Fan and J. Cao (Eds.). Tsinghua University Press / Springer Verlag, 2002. Agent-based Resource Management for Grid Computing.
J. Cao. PhD Thesis, University of Warwick, 2001. (also published by VDM Verlag Dr. Muller, 2011) Object-oriented Modelling, Analysis and Design of Complex Systems
(in Chinese). Y. Fan and J. Cao. Tsinghua University Press / Springer Verlag, 2000. Flexible Software Systems
(in Chinese). J. Cao. MSc Thesis, Tsinghua University, 1998. BMCST-MIS Acknowlege Subsystem Analysis and Design (in Chinese). J. Cao. BSc Thesis, Tsinghua University, 1996. Search for Lensing Signatures in the Gravitational-Wave Observations from the First Half of LIGO-Virgo's Third Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 923(1), 14(24), 2021. Constraints from LIGO O3 Data on Gravitational-wave Emission Due to R-modes in the Glitching Pulsar PSR J0537-6910.
LIGO Scientific Collaboration, Virgo Collaboration, KAGRA Collaboration, D. Antonopoulou, Z. Arzoumanian, T. Enoto, C. M. Espinoza, and S. Guillot.
The Astrophysical J., 922(1), 71(22), 2021. Searches for Continuous Gravitational Waves from Young Supernova Remnants in the Early Third Observing Run of Advanced LIGO and Virgo.
LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. The Astrophysical J., 921(1), 80(29), 2021. Search for Gravitational Waves Associated with Gamma-Ray Bursts Detected by Fermi and Swift during the LIGO-Virgo Run O3a.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 915(2), 86(16), 2021. Observation of Gravitational Waves from Two Neutron Star-Black Hole Coalescences.
LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. The Astrophysical J. Letters, 915(1), L5(24), 2021. All-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars in the Early O3 LIGO Data.
LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. Physical Review D, 104(8), 082004(28), 2021. Search for Anisotropic Gravitational-wave Backgrounds using Data from Advanced LIGO and Advanced Virgo's First Three Observing Runs.
LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. Physical Review D, 104(2), 022005(25), 2021. Upper Limits on the Isotropic Gravitational-Wave Background from Advanced LIGO's and Advanced Virgo's Third Observing Run.
LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. Physical Review D, 104(2), 022004(27), 2021. Constraints on Cosmic Strings using Data from the third Advanced LIGO-Virgo Observing Run.
LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. Physical Review Letters, 126(24), 241102(19), 2021. Tests of General Relativity with Binary Black Holes from the Second LIGO-Virgo Gravitational-Wave Transient Catalog.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 103(12), 122002(43), 2021. Diving below the Spin-down Limit: Constraints on Gravitational Waves from the Energetic Young Pulsar PSR J0537-6910.
LIGO Scientific Collaboration, Virgo Collaboration, KAGRA Collaboration, D. Antonopoulou, Z. Arzoumanian, T. Enoto, C. M. Espinoza, and S. Guillot.
The Astrophysical J. Letters, 913(2), L27(15), 2021. Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 913(1), L7(41), 2021. GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo during the First Half of the Third Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review X, 11(2), 021053(52), 2021. All-sky Search in Early O3 LIGO Data for Continuous Gravitational-wave Signals from Unknown Neutron Stars in Binary Systems.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 103(6), 064017(23), 2021. A Gravitational-wave Measurement of the Hubble Constant Following the Second Observing Run of Advanced LIGO and Virgo.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 909(2), 218(18), 2021. Open Data from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo.
LIGO Scientific Collaboration and Virgo Collaboration. SoftwareX, 13, 100658, 2021. Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA.
KAGRA Collaboration, LIGO Scientific Collaboration, and Virgo Collaboration. Living Reviews in Relativity, 23, 3, 2020. Gravitational-wave Constraints on the Equatorial Ellipticity of Millisecond Pulsars.
LIGO Scientific Collaboration, Virgo Collaboration, M. J. Keith, A. G. Lyne, J. Palfreyman, B. Shaw, B. W. Stappers, and P. Weltevrede.
The Astrophysical J. Letters, 902(1), L21(17), 2020. Properties and Astrophysical Implications of the 150Msun Binary Black Hole Merger GW190521.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 900(1), L13(27), 2020. GW190521: a Binary Black Hole Merger with a Total Mass of 150Msun.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 125(10), 101102(17), 2020. GW190814: Gravitational Waves from the Coalescence of a 23Msun Black Hole with a 2.6Msun Compact Object.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 896(2), L44(20), 2020. GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 102(4), 043015(29), 2020. An Optically Targeted Search for Gravitational Waves emitted by Core-Collapse Supernovae during the First and Second Observing Runs
of Advanced LIGO and Advanced Virgo. LIGO Scientific Collaboration and Virgo Collaboration, ASAS-SN Collaboration,
DLT40 Collaboration, and F. Salemi. Physical Review D, 101(8), 084002(24), 2020. A Joint Fermi-GBM and LIGO/Virgo Analysis of Compact Binary Mergers From the First and Second Gravitational-wave Observing Runs.
Fermi Gamma-Ray Burst Monitor, LIGO Scientific Collaboration, and Virgo Collaboration. The Astrophysical J., 893(2), 100(14), 2020. GW190425: Observation of a Compact Binary Coalescence with Total Mass ~3.4Msun.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 892(1), L3(24), 2020. A Guide to LIGO-Virgo Detector Noise and Extraction of Transient Gravitational-wave Signals.
LIGO Scientific Collaboration and Virgo Collaboration. Classical and Quantum Gravity, 37(5), 055002(54), 2020. Model Comparison from LIGO–Virgo Data on GW170817's Binary Components and Consequences for the Merger Remnant.
LIGO Scientific Collaboration and Virgo Collaboration. Classical and Quantum Gravity, 37(4), 045006(43), 2020. Search for Gravitational-wave Signals Associated with Gamma-Ray Bursts during the Second Observing Run of Advanced LIGO and Advanced Virgo.
LIGO Scientific Collaboration, Virgo Collaboration, IPN Collaboration, F. Carotenuto, and B. Krishnan. The Astrophysical J., 886(1), 75(15), 2019. Search for Eccentric Binary Black Hole Mergers with Advanced LIGO and Advanced Virgo during their First and Second Observing Runs.
LIGO Scientific Collaboration, Virgo Collaboration, and F. Salemi. The Astrophysical J., 883(2), 149(10), 2019. Search for Subsolar Mass Ultracompact Binaries in Advanced LIGO's Second Observing Run.
LIGO Scientific Collaboration, Virgo Collaboration, and S. Shandera. Physical Review Letters, 123(16), 161102(13), 2019. Search for Gravitational Waves from Scorpius X-1 in the Second Advanced LIGO Observing Run with an Improved Hidden Markov Model.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 100(12), 122002(21), 2019. Tests of General Relativity with the Binary Black Hole Signals from the LIGO-Virgo Catalog GWTC-1.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 100(10), 104036(30), 2019. Search for Intermediate Mass Black Hole Binaries in the First and Second Observing Runs of the Advanced LIGO and Virgo Network.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 100(6), 064064(18), 2019. Directional Limits on Persistent Gravitational Waves using Data from Advanced LIGO's First Two Observing Runs.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 100(6), 062001(14), 2019. Search for the Isotropic Stochastic Background using Data from Advanced LIGO's Second Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 100(6), 061101(16), 2019. All-sky Search for Short Gravitational-wave Bursts in the Second Advanced LIGO and Advanced Virgo Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 100(2), 024017(18), 2019. All-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars using Advanced LIGO O2 Data.
LIGO Scientific Collaboration, Virgo Collaboration, and A. Pisarski. Physical Review D, 100(2), 024004(27), 2019. Narrow-band Search for Gravitational Waves from Known Pulsars using the Second LIGO Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 99(12), 122002(20), 2019. All-sky Search for Long-duration Gravitational-wave Transients in the Second Advanced LIGO Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 99(10), 104033(13), 2019. GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed
by LIGO and Virgo during the First and Second Observing Runs.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review X, 9(3), 031040(49), 2019. Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 882(2), L24(30), 2019. Tests of General Relativity with GW170817.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 123(1), 011102(15), 2019. Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015-2017 LIGO Data.
LIGO Scientific Collaboration, Virgo Collaboration, Z. Arzoumanian, S. Bogdanov, I. Cognard, A. Corongiu, T. Enoto, P. Freire, K. C. Gendreau,
L. Guillemot, A. K. Harding, F. Jankowski, M. J. Keith, M. Kerr, A. Lyne, J. Palfreyman, A. Possenti,
A. Ridolfi, B. Stappers, G. Theureau, and P. Weltervrede. The Astrophysical J., 879(1), 10(28), 2019. First Measurement of the Hubble Constant from a Dark Standard Siren using the Dark Energy Survey Galaxies and the LIGO/Virgo Binary–Black-hole Merger GW170814.
DES Collaboration, LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 876(1), L7(15), 2019. Low-Latency Gravitational Wave Alerts for Multi-Messenger Astronomy During the Second Advanced LIGO and Virgo Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 875(2), 161(20), 2019. Search for Gravitational Waves from a Long-lived Remnant of the Binary Neutron Star Merger GW170817.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 875(2), 160(19), 2019. Searches for Continuous Gravitational Waves from 15 Supernova Remnants and Fomalhaut b with Advanced LIGO.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 875(2), 122(15), 2019. Search for Transient Gravitational-wave Signals Associated with Magnetar Bursts during Advanced LIGO's Second Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 874(2), 163(14), 2019. A Fermi Gamma-ray Burst Monitor Search for Electromagnetic Signals Coincident with Gravitational-wave Candidates in Advanced LIGO's First Observing Run.
Fermi Gamma-Ray Burst Monitor, LIGO Scientific Collaboration, and Virgo Collaboration. The Astrophysical J., 871(1), 90(12), 2019. Search for Multimessenger Sources of Gravitational Waves and High-energy Neutrinos with Advanced LIGO during its First Observing Run, ANTARES, and IceCube.
ANTARES Collaboration, IceCube Collaboration, LIGO Scientific Collaboration, and Virgo Collaboration. The Astrophysical J., 870(2), 134(16), 2019. Constraining the p-mode--g-mode Tidal Instability with GW170817.
LIGO Scientific Collaboration, Virgo Collaboration, and N. N. Weinberg. Physical Review Letters, 122(6), 061104(12), 2019. Properties of the Binary Neutron Star Merger GW170817.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review X, 9(1), 011001(32), 2019. Search for Sub-solar Mass Ultracompact Binaries in Advanced LIGO's First Observing Run.
LIGO Scientific Collaboration, Virgo Collaboration, and S. Shandera. Physical Review Letters, 121(23), 231103(13), 2018. GW170817: Measurements of Neutron Star Radii and the Equation of State.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 121(16), 161101(16), 2018. Full Band All-sky Search for Periodic Gravitational Waves in the O1 LIGO Data.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 97(10), 102003(31), 2018. Constraints on Cosmic Strings using Data from the First Advanced LIGO Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 97(10), 102002(20), 2018. Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA.
KAGRA Collaboration, LIGO Scientific Collaboration, and Virgo Collaboration. Living Reviews in Relativity, 21, 3, 2018. Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 120(20), 201102(13), 2018. GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 120(9), 091101(12), 2018. First Search for Nontensorial Gravitational Waves from Known Pulsars.
LIGO Scientific Collaboration, Virgo Collaboration, and Radio Astronomers. Physical Review Letters, 120(3), 031104(13), 2018. Effects of Data Quality Vetoes on a Search for Compact Binary Coalescences in Advanced LIGO's First Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Classical and Quantum Gravity, 35(6), 065010(26), 2018. All-sky Search for Long-duration Gravitational Wave Transients in the First Advanced LIGO Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Classical and Quantum Gravity, 35(6), 065009(25), 2018. GW170608: Observation of a 19 Solar-mass Binary Black Hole Coalescence.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 851(2), L35(11), 2017. Search for Post-merger Gravitational Waves from the Remnant of the Binary Neutron Star Merger GW170817.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 851(1), L16(13), 2017. On the Progenitor of Binary Neutron Star Merger GW170817.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 850(2), L40(18), 2017. Estimating the Contribution of Dynamical Ejecta in the Kilonova Associated with GW170817.
LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J. Letters, 850(2), L39(13), 2017. Search for High-energy Neutrinos from Binary Neutron Star Merger GW170817 with ANTARES, IceCube, and the Pierre Auger Observatory.
ANTARES Collaboration, IceCube Collaboration, Pierre Auger Collaboration, LIGO Scientific Collaboration, and Virgo Collaboration.
The Astrophysical J. Letters, 850(2), L35(18), 2017. A Gravitational-wave Standard Siren Measurement of the Hubble Constant.
LIGO Scientific Collaboration and Virgo Collaboration, 1M2H Collaboration, Dark Energy Camera GW-EM Collaboration and DES Collaboration,
DLT40 Collaboration, Las Cumbres Observatory Collaboration, VINROUGE Collaboration, and MASTER Collaboration. Nature, 551(7678), 85-88, 2017. Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A.
LIGO Scientific Collaboration, Virgo Collaboration, Fermi Gamma-ray Burst Monitor, and INTEGRAL. The Astrophysical J. Letters, 848(2), L13(27), 2017. Multi-messenger Observations of a Binary Neutron Star Merger.
LIGO Scientific Collaboration, Virgo Collaboration, and Partner Astronomy Groups. The Astrophysical J. Letters, 848(2), L12(59), 2017. GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 119(16), 161101(18), 2017. First Narrow-band Search for Continuous Gravitational Waves from Known Pulsars in Advanced Detector Data.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 96(12), 122006(20), 2017. First Low-frequency Einstein@Home All-sky Search for Continuous Gravitational Waves in Advanced LIGO Data.
LIGO Scientific Collaboration, Virgo Collaboration, and D. P. Anderson. Physical Review D, 96(12), 122004(26), 2017. GW170814: a Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 119(14), 141101(16), 2017. All-sky Search for Periodic Gravitational Waves in the O1 LIGO Data.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 96(6), 062002(35), 2017. Upper Limits on Gravitational Waves from Scorpius X-1 from a Model-based Cross-correlation Search in Advanced LIGO Data.
LIGO Scientific Collaboration, Virgo Collaboration, D. Steeghs, and L. Wang. The Astrophysical J., 847(1), 47(14), 2017. GW170104: Observation of a 50-solar-mass Binary Black Hole Coalescence at Redshift 0.2.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 118(22), 221101(17), 2017. Search for High-energy Neutrinos from Gravitational Wave Event GW151226 and Candidate LVT151012 with ANTARES and IceCube.
ANTARES Collaboration, IceCube Collaboration, LIGO Scientific Collaboration, and Virgo Collaboration. Physical Review D, 96(2), 022005(15), 2017. Search for Intermediate Mass Black Hole Binaries in the First Observing Run of Advanced LIGO.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 96(2), 022001(14), 2017. Search for Gravitational Waves from Scorpius X-1 in the First Advanced LIGO Observing Run with a Hidden Markov Model.
LIGO Scientific Collaboration, Virgo Collaboration, S. Suvorova, W. Moran, and R. J. Evans. Physical Review D, 95(12), 122003(20), 2017. Search for Gravitational Waves Associated with Gamma-ray Bursts during the First Advanced LIGO Observing Run and Implications for the Origin of GRB 150906B.
LIGO Scientific Collaboration, Virgo Collaboration, and Gamma-ray Astronomers. The Astrophysical J., 841(2), 89(18), 2017. First Search for Gravitational Waves from Known Pulsars with Advanced LIGO.
LIGO Scientific Collaboration, Virgo Collaboration, and Radio Astronomers. The Astrophysical J., 839(1), 12(19), 2017. Effects of Waveform Model Systematics on the Interpretation of GW150914 .
LIGO Scientific Collaboration, Virgo Collaboration, and Waveform Modelers. Classical and Quantum Gravity, 34(10), 104002(48), 2017. Directional Limits on Persistent Gravitational Waves from Advanced LIGO's First Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 118(12), 121102(13), 2017. Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run.
LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 118(12), 121101(12), 2017. Search for Continuous Gravitational Waves from Neutron Stars in Globular Cluster NGC 6544.
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