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Publications

 

2018: 

  • Brandon Hedden and Xinghui Zhao, A Comprehensive Study on Bugs in Actor Systems, in Proceedings of the 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, 2018. (accepted)
  • Aaron Goin, Ronald Cotton and Xinghui Zhao, WebNN: A Distributed Framework for Deep Learning, in Proceedings of the 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, 2018. (accepted)
  • Austin Aske and Xinghui Zhao, Supporting Multi-Provider Serverless Computing on the Edge, in Proceedings of the 1st International Workshop on Next Generation Clouds (NextGenClouds 2018), at ICPP 2018, Eugene, OR, 2018 (accepted)
  • Keaton Dieter, Ben McCamish, Eduardo Cotilla-Sanchez, Robert Bass, Scott Wallace and Xinghui Zhao, Power System Spoof Detection with a Hybrid Hardware/Software Benchmarking Framework, in Proceedings of the IEEE Power and Energy Society General Meetings (PES 2018). Portland, OR. 2018.

2017: 

  • Jun Jiang, Xinghui Zhao, Scott Wallace, Eduardo Cotilla-Sanchez and Robert Bass, Mining PMU Data Streams to Improve Electric Power System Resilience, In Proceedings of the 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017), Austin, TX, 2017. (Acceptance rate: 29%)
  • Austin Aske and Xinghui Zhao, An Actor-Based Framework for Edge Computing, In Pro- ceedings of the IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017), Austin, TX, 2017.
  • Kyle Siehl and Xinghui Zhao, Supporting Energy-Efficient Computing on Heterogeneous CPU-GPU Architectures, in Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud (FiCloud 2017), Prague, Czech Republic, 2017. (Acceptance Rate: 30%)
  • Tai Nguyen and Xinghui Zhao, Performance Tuning for Actor Programs Through Decoupled Concurrency, in Software Quality Journal, 2017.
  • Eric Klinginsmith, Xinghui Zhao and Scott Wallace, Characterizing Smart Grid Events Using Clustering Methods, In M. Helfert, C. Klein, B. Donnellan, O. Gusikhin (eds.), Communications in Computer and Information Science, Vol. 738, pp: 75-96, Springer, 2017.
  • Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, and Stephen Ficklin, Making Sense of Per- formance in In-memory Computing Frameworks for Scientific Data Analysis: A Case Study of the Spark System, Special issue on In-memory Computing, Journal of Parallel and Distributed Computing, Elsevier, 2017.

2016:

  • Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao and Stephen Ficklin, Understanding Software Platforms for In-memory Scientific Data Analysis: A Case Study of the Spark System, In Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2016), pp 1135-1144, Wuhan, China, 2016. (Acceptance Rate: 29.9%) 
  • Kyle Siehl and Xinghui Zhao, Power-Aware Heterogenous Computing Through CPU-GPU Hybridization, In Proceedings of the IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016), Salt Lake City, UT, 2016.
  • Duc Nguyen, Scott Wallace and Xinghui Zhao, Finding Needles in a Haystack: Line Event Detection on Smart Grid PMU Data Streams, In Proceedings of the 6th International Conference on Smart Grids, Green Communications and IT Energy-Aware Technologies (ENERGY 2016), Lisbon, Portugal, 2016. (Acceptance Rate: 28%) (Best Paper Award)
  • Xinghui Zhao, Enhancing Parallel and Distributed Programming Through Software Engineering, the 6th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar 2016), at IPDPS 2016, Chicago, IL, 2016. 
  • Eric Klinginsmith, Richard Barella, Xinghui Zhao, and Scott Wallace, Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid, In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems (SmartGreens 2016), Rome, Italy, 2016. (Acceptance rate: 22.9%) (Best Paper Award Nomination)
  • Jordan Landford, Rich Meier, Richard Barella, Scott Wallace, Xinghui Zhao, Eduardo Cotilla-Sanchez and Robert Bass, Fast Sequence Component Analysis for Attack Detection in Smart Grid, In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems (SmartGreens 2016), Rome, Italy, 2016. (Acceptance rate: 22.9%) (Best Paper Award Nomination)
  • Scott Wallace, Xinghui Zhao, Duc Nguyen, and Kuei-Ti Lu, Big Data Analytics on Smart Grid: Mining PMU Data for Event and Anomaly Detection, In R. Buyya, R. Calheiros, A. Dastjerdi (eds.), Big Data: Principles and Paradigms, Morgan Kaufmann, Burlington, MA, 2016. 
  • Tai Nguyen and Xinghui Zhao, Decoupled Concurrency: A Self-Adaptive Software Architecture for Programming Multicores, In Proceedings of the 31st ACM Symposium on Applied Computing (ACM SAC 2016), Pisa, Italy, 2016. (Acceptance rate: 32.8%) 
  • Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott Wallace, Xinghui Zhao and Eduardo Cotilla-Sanchez, A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid, In M. Helfert, K. Krempels, C. Klein, B. Donnellan, O. Gusikhin (eds.), Communications in Computer and Information Science, pp: 199-215, Springer, 2016. 

2015: 

  • Duc Nguyen, Richard Barella, Scott Wallace, Xinghui Zhao and Xiaodong Liang, Smart Grid Line Event Classification Using Supervised Learning Over PMU Data Streams, In Proceedings of the 6th International Green and Sustainable Computing Conference (IGSC 2015), Las Vegas, NV, 2015. (Acceptance rate: 27.3%) 
  • Xiangqiang Xu, Gabriel Dunham, Xinghui Zhao, David Chiu, and Jie Xu, Modeling Parallel Simulations on Amazon EC2, In Proceedings of the International Conference on Cloud Computing and Big Data (CCBD 2015), Shanghai, China, 2015. 
  • Ben McCamish, Xinghui Zhao, David Chiu, Jason Sawin and Guadalupe Canahuate, Evaluating Work Distribution Patterns for Parallel Bitmap Compression over SMPs, In Proceedings of the ACM SIGPLAN Conference on Systems, Programming, Languages and Applications: Software for Humanity (SPLASH 2015), Pittsburgh, PA, 2015. 
  • Xiangqiang Xu and Xinghui Zhao, A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data, In Proceedings of the IEEE International Symposium on Big Data Security on Cloud (BigDataSecurity 2015), New York, USA, 2015. (Acceptance rate: 28.3%) 
  • Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott Wallace, Xinghui Zhao and Eduardo Cotilla-Sanchez, A Sensitivity Study of PMU-Based Fault Detection on Smart Grid, In Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems (SmartGreens 2015), Lisbon, Portugal, 2015. (Acceptance rate: 20.6%) (Best Student Paper Award)

2014: 

  • Bo Wang, Xinghui Zhao, and David Chiu, Lightweight Online Power Monitoring and Control for Mobile Applications, In Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2014), Hsinchu, Taiwan, 2014. (Acceptance rate: 29.8%) 
  • Tai Nguyen and Xinghui Zhao, Self-Adaptive Parallel Programming Through Tunable Concurrency, In Proceedings of the ACM SIGPLAN Conference on Systems, Programming, Languages and Applications: Software for Humanity (SPLASH 2014), Portland, OR, 2014. 
  • Hua Zhang, Xinghui Zhao and Nadeem Jamali, Supporting Relative Location Constraints in Actor Systems, the 4th International ACM SIGPLAN Workshop on Programming Based on Actors, Agents and Decentralized Control (AGERE! at SPLASH 2014), Portland, OR, 2014. 
  • Xinghui Zhao and Nadeem Jamali, Energy-Aware Resource Allocation for Multicores with Per-Core Frequency Scaling, Journal of Internet Services and Applications (JISA), Thematic Series on Greening Distributed Systems, Springer, 2014. 
  • Xiaodong Liang, Scott Wallace, and Xinghui Zhao, A Technique for Detecting Wide-Area Single-Line-To-Ground Faults, In Proceedings of the 2nd IEEE Conference on Technologies for Sustainability (SusTech 2014), Portland, OR, 2014. 
  • Bo Wang, Xinghui Zhao and David Chiu, A Power-Aware Mobile App for Field Scientists, in Proceedings of the 12th International Conference on Mobile Systems, Applications, and Services (MobiSys 2014), Bretton Woods, NH, 2014. 
  • Xinghui Zhao, David Chiu, and Scott Wallace, Integrating PDC Topics in Multiple Levels of CS Courses at WSU Vancouver, the 4th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar 2014), at IPDPS 2014, Phoenix, AZ, 2014. 

2013: 

  • Xinghui Zhao and Nadeem Jamali, Load Balancing Non-Uniform Parallel Computations, in ACM SIGPLAN Notices: Proceedings of the 3rd International ACM SIGPLAN Workshop on Programming Based on Actors, Agents and Decentralized Control (AGERE! at SPLASH 2013), pp: 1-12, Indianapolis, IN, 2013. 
  • Love Kalra, Xinghui Zhao, Axel Soto, and Evangelos Milios, Detection of Daily Living Activities Using a Two-Stage Markov Model, Journal of Ambient Intelligence and Smart Environments (JAISE), vol 5(3), pp:273-285, 2013. 

2012: 

  • Love Kalra, Xinghui Zhao, Axel Soto, and Evangelos Milios, A Two-Stage Corrective Markov Model for Activities of Daily Living Detection, In Proceedings of the 3rd International Symposium on Ambient Intelligence (ISAmI 2012), Salamanca, Spain, 2012.
  • Md. Abdur Rahman, Xinghui Zhao, Maria Gabirella Mosquera, Qigang Gao, Vlado Keselj and Hai Wang, Business Lead Generation for Online Real Estate Services: A Case Study, In Proceedings of the 4th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2012), Saint Gilles, Reunion Island, 2012. (Acceptance rate: 29%)

2011:

  • Xinghui Zhao and Nadeem Jamali, Supporting Deadline Constrained Distributed Computations on Grids, In Proceedings of the 12th IEEE/ACM International Conference on Grid Computing (GRID 2011), pp:165-172, Lyon, France, 2011. (Acceptance rate: 29%)
  • Xinghui Zhao and Nadeem Jamali, Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations, In Proceedings of the 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2011), pp: 225-226, Ann Arbor, MI, 2011. (Acceptance rate: 33%)
  • Xinghui Zhao and Nadeem Jamali, Fine Grained Per-Core Frequency Scheduling for Power Efficient Multicore Execution, In Proceedings of the 2nd IEEE International Green Computing Conference (IGCC 2011) [Work-in-Progress Workshop], pp:1-8, Orlando, FL, 2011.

2010 and before: 

  • Xinghui Zhao and Nadeem Jamali, Self-Adaptive Resource Allocation in Open Distributed Systems, In Proceedings of the 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), pp: 263-264, Budapest, Hungary, 2010. 
  • Xinghui Zhao and Nadeem Jamali, Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems, In Proceedings of the 9th International Workshop on Assurance in Distributed Systems and Networks (ADSN 2010), at the 30th International Conference on Distributed Computing Systems (ICDCS 2010), pp:13-20, Genoa, Italy, 2010.
  • Nadeem Jamali and Xinghui Zhao, Distributed Coordination of Massively Multi-Agent Systems, in Nadeem Jamali, Paul Scerri, Toshiharu Sugawara (eds.), In Lecture Notes in Computer Science: Massively Multi-Agent Technology, vol. 5043, pp:13–27, Springer, 2008.
  • Nadeem Jamali and Xinghui Zhao, Self-Adapting Resource Bounded Distributed Computations, In Proceedings of the 1st International Conference on Self-Adapting and Self-Organizing Systems (SASO 2007), pp:311–314, Boston, Massachusetts, IEEE Press, 2007. (Acceptance rate: 30%)
  • Nadeem Jamali and Xinghui Zhao, Distributed Coordination of Massively Multi-Agent Systems, In Proceedings of the 1st International Workshop on Coordination and Control in Massively Multi-Agent Systems (CCMMS 2007) at the 6th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2007), pp:49–63, Honolulu, HI, 2007.
  • Nadeem Jamali and Xinghui Zhao, A Scalable Approach to Multi-Agent Resource Acquisition and Control, In Proceedings of the 4th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2005), pp 868–875, Utrecht, Netherlands, ACM Press, 2005. (Acceptance rate: 24%)
  • Nadeem Jamali and Xinghui Zhao, Hierarchical Resource Usage Coordination for Large-Scale Multi-Agent Systems, in Toru Ishida, Les Gasser, Hideyuki Nakashima (eds.), In Lecture Notes in Artificial Intelligence: Massively Multi-Agent Systems I, vol. 3446, pp:40–54, Springer, 2005.
  • Nadeem Jamali and Xinghui Zhao, Scalable Hierarchical Coordination of Multi-Agent Resource Usage, In Proceedings of the 1st International Workshop on Massively Multi-Agent Systems (MMAS 2004), 15 pages, Kyoto, Japan, 2004.
  • Nadeem Jamali, Gul Agha, Indratmo and Xinghui Zhao, Decentralized Resource Control for Multi-Agent Systems, In Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004), pp:1366-1367, New York, NY, 2004.