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Journal Articles
- 2024
[j9]Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue
, Francis M. Haas, Robert A. Hirsh, Xinghui Zhao:
Real-time arrhythmia detection using convolutional neural networks. Frontiers Big Data 6 (2024)- 2022
- [j8]Jonathan Cavitt, Scott Wallace, Xinghui Zhao:
Detecting cyber attacks with packet loss resilience for power systems. Sustain. Comput. Informatics Syst. 34: 100629 (2022) - 2020
- [j7]Weifu Li, Xinghui Zhao, Jiangtao Peng, Zhicheng Luo, Lijun Shen, Hua Han, Peng Zhang, Lei Yang:
A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites. IEEE Geosci. Remote. Sens. Lett. 17(2): 197-201 (2020) - 2019
- [j6]Xinghui Zhao, Na Chen, Weifu Li, Jiangtao Peng, Lijun Shen:
ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. Remote. Sens. 11(16): 1886 (2019) - [j5]Gaurav Somani, Xinghui Zhao, Satish Narayana Srirama, Rajkumar Buyya:
Integration of Cloud, Internet of Things, and Big Data Analytics. Softw. Pract. Exp. 49(4): 561-564 (2019) - 2018
- [j4]Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin:
Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system. J. Parallel Distributed Comput. 120: 369-382 (2018) - [j3]Tai Nguyen, Xinghui Zhao:
Performance tuning for actor programs through decoupled concurrency. Softw. Qual. J. 26(3): 1097-1117 (2018) - 2014
- [j2]Xinghui Zhao, Nadeem Jamali:
Energy-aware resource allocation for multicores with per-core frequency scaling. J. Internet Serv. Appl. 5(1): 9:1-9:15 (2014) - 2013
- [j1]Love Kalra, Xinghui Zhao, Axel J. Soto, Evangelos E. Milios:
Detection of daily living activities using a two-stage Markov model. J. Ambient Intell. Smart Environ. 5(3): 273-285 (2013)
Conference and Workshop Papers
- 2024
- [c48]Ishparsh Uprety, Griffen Agnello, Xinghui Zhao:
Supporting Deep Learning Based Autonomous Driving Applications on Resource-Constrained Devices. MOST 2024: 42-49 - [c47]Griffen Agnello, Ishparsh Uprety, Xinghui Zhao:
Poster: An Efficient Road Detection Framework for Supporting Autonomous Driving in Rural Areas. MOST 2024: 283-285 - 2023
- [c46]Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao:
A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. ICMLA 2023: 1627-1634 - [c45]Alexander Flores, Anais Barja, Xianming Shi, Xinghui Zhao:
A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. ICMLA 2023: 1765-1770 - [c44]Sonam Sherpa, Xinghui Zhao:
A Hybrid Approach for Detecting Bugs in HPC Workloads. ICPADS 2023: 1968-1974 - 2022
- [c43]Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao:
Supporting Green Neuromorphic Computing: Machine Learning Guided Microfabrication for Resistive Random Access Memory. BDCAT 2022: 154-157 - [c42]Md. Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao:
Honey-CNT based Resistive Switching Device for Neuromorphic Computing Applications. BDCAT 2022: 182-183 - [c41]Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Joseph Boothby, Xinghui Zhao, Tyler Petty:
Electro-Mechanical Data Fusion for Heart Health Monitoring. ICHI 2022: 1-6 - [c40]Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang:
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA 2022: 212-219 - 2020
- [c39]Tyler Petty, Thong Vu, Xinghui Zhao, Robert A. Hirsh, Greggory Murray, Francis M. Haas, Wei Xue:
Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection. BDCAT 2020: 19-26 - [c38]Xinyu Zheng, Yuanmin Wang, Xinghui Zhao, Hakan Gurocak:
Enabling Precise Control of a Haptic Device: A Machine Learning Approach. BDCAT 2020: 96-105 - [c37]Jun Hao, Xinghui Zhao:
An End-to-End Toolkit for Social Network Analysis. IEEE BigData 2020: 5692-5694 - 2019
- [c36]Liming Xue, Yulin Du, Wei Li, Xinghui Zhao:
Space-Time Effect Modelling with Machine Learning: A Scalable Approach for Assessing Efficiency of Coal Resources. BigCom 2019: 178-186 - [c35]Xuan Liu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass:
Episodic Detection of Spoofed Data In Synchrophasor Measurement Streams. IGSC 2019: 1-8 - [c34]Sonam Sherpa, Abdi Vicenciodelmoral, Xinghui Zhao:
Deadlock Detection for Concurrent Programs Using Resource Footprints. UCC Companion 2019: 137-138 - 2018
- [c33]Jorge Berrios, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass:
Generator Event Detection from Synchrophasor Data Using a Two-Step Time-Series Machine Learning Algorithm. IGSC 2018: 1-7 - [c32]Brandon Hedden, Xinghui Zhao:
A Comprehensive Study on Bugs in Actor Systems. ICPP 2018: 56:1-56:9 - [c31]Austin Aske, Xinghui Zhao:
Supporting Multi-Provider Serverless Computing on the Edge. ICPP Workshops 2018: 20:1-20:6 - 2017
- [c30]Jun Jiang, Xinghui Zhao, Scott A. Wallace, Eduardo Cotilla Sanchez, Robert B. Bass:
Mining PMU Data Streams to Improve Electric Power System Resilience. BDCAT 2017: 95-102 - [c29]Kyle Siehl, Xinghui Zhao:
Supporting Energy-Efficient Computing on Heterogeneous CPU-GPU Architectures. FiCloud 2017: 134-141 - [c28]Austin Aske, Xinghui Zhao:
An Actor-Based Framework for Edge Computing. UCC 2017: 199-200 - 2016
- [c27]Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin:
Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. ICPADS 2016: 1135-1144 - [c26]Tai Nguyen, Xinghui Zhao:
Decoupled concurrency: a self-adaptive software architecture for programming multicores. SAC 2016: 1358-1360 - [c25]Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace:
Characterizing Smart Grid Events Using Clustering Methods. SMARTGREENS/VEHITS (Selected Papers) 2016: 75-96 - [c24]Jordan Landford, Rich Meier, Richard Barella, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass:
Fast Sequence Component Analysis for Attack Detection in Smart Grid. SMARTGREENS 2016: 225-232 - [c23]Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace:
Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid. SMARTGREENS 2016: 233-240 - 2015
- [c22]Xiangqiang Xu, Gabriel Dunham, Xinghui Zhao, David Chiu, Jie Xu:
Modeling Parallel Molecular Simulations on Amazon EC2. CCBD 2015: 97-100 - [c21]Duc Nguyen, Richard Barella, Scott A. Wallace, Xinghui Zhao, Xiaodong Liang:
Smart grid line event classification using supervised learning over PMU data streams. IGSC 2015: 1-8 - [c20]Xiangqiang Xu, Xinghui Zhao:
A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data. HPCC/CSS/ICESS 2015: 1344-1349 - [c19]Ben McCamish, Xinghui Zhao, David Chiu, Jason Sawin, Guadalupe Canahuate:
Evaluating work distribution patterns for parallel bitmap compression over SMPs. SPLASH (Companion Volume) 2015: 52-53 - [c18]Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato:
Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). SPLASH (Companion Volume) 2015: 95-96 - [c17]Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez:
A Sensitivity Study of PMU-based Fault Detection on Smart Grid. SMARTGREENS 2015: 185-192 - [c16]Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez:
A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid. SMARTGREENS/VEHITS (Selected Papers) 2015: 199-215 - 2014
- [c15]Bo Wang, Xinghui Zhao, David Chiu:
Lightweight online power monitoring and control for mobile applications. ICPADS 2014: 486-493 - [c14]Bo Wang, Xinghui Zhao, David Chiu:
Poster: A power-aware mobile app for field scientists. MobiSys 2014: 383 - [c13]Tai Nguyen, Xinghui Zhao:
Self-adaptive parallel programming through tunable concurrency. SPLASH (Companion Volume) 2014: 59-60 - 2013
- [c12]Xinghui Zhao, Nadeem Jamali:
Load balancing non-uniform parallel computations. AGERE!@SPLASH 2013: 97-108 - 2012
- [c11]Love Kalra, Xinghui Zhao, Axel J. Soto, Evangelos E. Milios:
A Two-Stage Corrective Markov Model for Activities of Daily Living Detection. ISAmI 2012: 171-179 - 2011
- [c10]Xinghui Zhao, Nadeem Jamali:
Fine-grained per-core frequency scheduling for power efficient-multicore execution. IGCC 2011: 1-8 - [c9]Xinghui Zhao, Nadeem Jamali:
Supporting Deadline Constrained Distributed Computations on Grids. GRID 2011: 165-172 - [c8]Xinghui Zhao, Nadeem Jamali:
Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations. SASO 2011: 225-226 - 2010
- [c7]Xinghui Zhao, Nadeem Jamali:
Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems. ICDCS Workshops 2010: 13-20 - [c6]Xinghui Zhao, Nadeem Jamali:
Self-Adaptive Resource Allocation in Open Distributed Systems. SASO 2010: 263-264 - 2007
- [c5]Nadeem Jamali, Xinghui Zhao:
Self-Adapting Resource Bounded Distributed Computations. SASO 2007: 311-314 - 2006
- [c4]Nadeem Jamali, Xinghui Zhao:
Distributed Coordination of Massively Multi-Agent Systems. MMAS/LSMAS/CCMMS 2006: 13-27 - 2005
- [c3]Nadeem Jamali, Xinghui Zhao:
A scalable approach to multi-agent resource acquisition and control. AAMAS 2005: 868-875 - 2004
- [c2]Nadeem Jamali, Indratmo, Xinghui Zhao, Gul Agha:
Decentralized Resource Control for Multi-Agent Systems. AAMAS 2004: 1366-1367 - [c1]Nadeem Jamali, Xinghui Zhao:
Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems. MMAS 2004: 40-54
Editorship
- 2019
- [e4]Kenneth Johnson, Josef Spillner, Xinghui Zhao, Olga Datskova, Blesson Varghese:
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019. ACM 2019, ISBN 978-1-4503-7016-5 [contents] - 2017
- [e3]Ashiq Anjum, Alan Sill, Xinghui Zhao, Mohsen M. Farid, Shrideep Pallickara, Jiannong Cao:
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2017, Austin, TX, USA, December 05 - 08, 2017. ACM 2017, ISBN 978-1-4503-5549-0 [contents] - 2016
- [e2]Ashiq Anjum, Xinghui Zhao:
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016, Shanghai, China, December 6-9, 2016. ACM 2016, ISBN 978-1-4503-4617-7 [contents] - 2015
- [e1]Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato:
Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2015, Pittsburgh, PA, USA, October 27, 2015. ACM 2015, ISBN 978-1-4503-3910-0 [contents]
Informal and Other Publications
- 2020
- [i2]Jun Jiang, Xuan Liu, Scott A. Wallace, Eduardo Cotilla Sanchez, Robert B. Bass, Xinghui Zhao:
Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data. CoRR abs/2008.09153 (2020) - 2015
- [i1]Jordan Landford, Rich Meier, Richard Barella, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass, Scott A. Wallace:
Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks. CoRR abs/1509.05086 (2015)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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