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2020 – today

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2024
[j9]
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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)
[c48]
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Ishparsh Uprety, Griffen Agnello, Xinghui Zhao:
Supporting Deep Learning Based Autonomous Driving Applications on Resource-Constrained Devices. MOST 2024: 42-49
[c47]
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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]
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  - conf/icmla/VicenciodelmoralTZZ23
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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]
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Alexander Flores, Anais Barja, Xianming Shi, Xinghui Zhao:
A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. ICMLA 2023: 1765-1770
[c44]
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Sonam Sherpa, Xinghui Zhao:
A Hybrid Approach for Detecting Bugs in HPC Workloads. ICPADS 2023: 1968-1974
2022
[j8]
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Jonathan Cavitt, Scott Wallace, Xinghui Zhao:
Detecting cyber attacks with packet loss resilience for power systems. Sustain. Comput. Informatics Syst. 34: 100629 (2022)
[c43]
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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]
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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]
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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]
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Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang:
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA 2022: 212-219
2020
[j7]
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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)
[c39]
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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]
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Xinyu Zheng, Yuanmin Wang, Xinghui Zhao, Hakan Gurocak:
Enabling Precise Control of a Haptic Device: A Machine Learning Approach. BDCAT 2020: 96-105
[c37]
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Jun Hao, Xinghui Zhao:
An End-to-End Toolkit for Social Network Analysis. IEEE BigData 2020: 5692-5694
[i2]
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  - journals/corr/abs-2008-09153
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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)

2010 – 2019

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2019
[j6]
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  - journals/remotesensing/ZhaoCLPS19
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Xinghui Zhao, Na Chen, Weifu Li, Jiangtao Peng, Lijun Shen:
ℓ_p-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. Remote. Sens. 11(16): 1886 (2019)
[j5]
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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)
[c36]
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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]
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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]
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Sonam Sherpa, Abdi Vicenciodelmoral, Xinghui Zhao:
Deadlock Detection for Concurrent Programs Using Resource Footprints. UCC Companion 2019: 137-138
[e4]
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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]
2018
[j4]
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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]
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Tai Nguyen, Xinghui Zhao:
Performance tuning for actor programs through decoupled concurrency. Softw. Qual. J. 26(3): 1097-1117 (2018)
[c33]
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  - conf/green/BerriosWZSB18
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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]
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Brandon Hedden, Xinghui Zhao:
A Comprehensive Study on Bugs in Actor Systems. ICPP 2018: 56:1-56:9
[c31]
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Austin Aske, Xinghui Zhao:
Supporting Multi-Provider Serverless Computing on the Edge. ICPP Workshops 2018: 20:1-20:6
2017
[c30]
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  - conf/bdc/JiangZWSB17
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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]
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  - conf/ficloud/SiehlZ17
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Kyle Siehl, Xinghui Zhao:
Supporting Energy-Efficient Computing on Heterogeneous CPU-GPU Architectures. FiCloud 2017: 134-141
[c28]
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Austin Aske, Xinghui Zhao:
An Actor-Based Framework for Edge Computing. UCC 2017: 199-200
[e3]
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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
[c27]
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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]
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  - conf/sac/NguyenZ16
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Tai Nguyen, Xinghui Zhao:
Decoupled concurrency: a self-adaptive software architecture for programming multicores. SAC 2016: 1358-1360
[c25]
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  - conf/smartgreens/KlinginsmithBZW16a
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Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace:
Characterizing Smart Grid Events Using Clustering Methods. SMARTGREENS/VEHITS (Selected Papers) 2016: 75-96
[c24]
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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]
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Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace:
Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid. SMARTGREENS 2016: 233-240
[e2]
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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
[c22]
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Xiangqiang Xu, Gabriel Dunham, Xinghui Zhao, David Chiu, Jie Xu:
Modeling Parallel Molecular Simulations on Amazon EC2. CCBD 2015: 97-100
[c21]
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  - conf/green/NguyenBWZL15
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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]
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Xiangqiang Xu, Xinghui Zhao:
A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data. HPCC/CSS/ICESS 2015: 1344-1349
[c19]
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  - conf/oopsla/McCamishZCSC15
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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]
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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]
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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]
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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
[e1]
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  - conf/oopsla/2015seps
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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]
[i1]
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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)
2014
[j2]
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  - journals/jisa/ZhaoJ14
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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)
[c15]
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Bo Wang, Xinghui Zhao, David Chiu:
Lightweight online power monitoring and control for mobile applications. ICPADS 2014: 486-493
[c14]
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Bo Wang, Xinghui Zhao, David Chiu:
Poster: A power-aware mobile app for field scientists. MobiSys 2014: 383
[c13]
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  - conf/oopsla/NguyenZ14
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Tai Nguyen, Xinghui Zhao:
Self-adaptive parallel programming through tunable concurrency. SPLASH (Companion Volume) 2014: 59-60
2013
[j1]
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  - journals/jaise/KalraZSM13
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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)
[c12]
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Xinghui Zhao, Nadeem Jamali:
Load balancing non-uniform parallel computations. AGERE!@SPLASH 2013: 97-108
2012
[c11]
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  - conf/isami/KalraZSM12
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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]
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  - conf/green/ZhaoJ11
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Xinghui Zhao, Nadeem Jamali:
Fine-grained per-core frequency scheduling for power efficient-multicore execution. IGCC 2011: 1-8
[c9]
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  - conf/grid/ZhaoJ11
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Xinghui Zhao, Nadeem Jamali:
Supporting Deadline Constrained Distributed Computations on Grids. GRID 2011: 165-172
[c8]
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Xinghui Zhao, Nadeem Jamali:
Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations. SASO 2011: 225-226
2010
[c7]
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Xinghui Zhao, Nadeem Jamali:
Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems. ICDCS Workshops 2010: 13-20
[c6]
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Xinghui Zhao, Nadeem Jamali:
Self-Adaptive Resource Allocation in Open Distributed Systems. SASO 2010: 263-264

2000 – 2009

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2007
[c5]
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Nadeem Jamali, Xinghui Zhao:
Self-Adapting Resource Bounded Distributed Computations. SASO 2007: 311-314
2006
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Nadeem Jamali, Xinghui Zhao:
Distributed Coordination of Massively Multi-Agent Systems. MMAS/LSMAS/CCMMS 2006: 13-27
2005
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Nadeem Jamali, Xinghui Zhao:
A scalable approach to multi-agent resource acquisition and control. AAMAS 2005: 868-875
2004
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Nadeem Jamali, Indratmo, Xinghui Zhao, Gul Agha:
Decentralized Resource Control for Multi-Agent Systems. AAMAS 2004: 1366-1367
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Nadeem Jamali, Xinghui Zhao:
Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems. MMAS 2004: 40-54

Coauthor Index

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