Decentralized Resource Control for Multi-Agent Systems. - Nadeem Jamali; Indratmo; Xinghui Zhao; Gul Agha (AAMAS, 2004)

Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems. - Nadeem Jamali; Xinghui Zhao (MMAS, 2004)

A scalable approach to multi-agent resource acquisition and control. - Nadeem Jamali; Xinghui Zhao (AAMAS, 2005)

Distributed Coordination of Massively Multi-Agent Systems. - Nadeem Jamali; Xinghui Zhao (MMAS/LSMAS/CCMMS, 2006)

Self-Adapting Resource Bounded Distributed Computations. - Nadeem Jamali; Xinghui Zhao (SASO, 2007)

Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems. - Xinghui Zhao; Nadeem Jamali (ICDCS Workshops, 2010)

Self-Adaptive Resource Allocation in Open Distributed Systems. - Xinghui Zhao; Nadeem Jamali (SASO, 2010)

Fine-grained per-core frequency scheduling for power efficient-multicore execution. - Xinghui Zhao; Nadeem Jamali (IGCC, 2011)

Supporting Deadline Constrained Distributed Computations on Grids. - Xinghui Zhao; Nadeem Jamali (GRID, 2011)

Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations. - Xinghui Zhao; Nadeem Jamali (SASO, 2011)

A Two-Stage Corrective Markov Model for Activities of Daily Living Detection. - Love Kalra; Xinghui Zhao; Axel J. Soto; Evangelos E. Milios (ISAmI, 2012)

Load balancing non-uniform parallel computations. - Xinghui Zhao; Nadeem Jamali (AGERE!@SPLASH, 2013)

Detection of daily living activities using a two-stage Markov model. - Love Kalra; Xinghui Zhao; Axel J. Soto; Evangelos E. Milios (J. Ambient Intell. Smart Environ., 2013)

Lightweight online power monitoring and control for mobile applications. - Bo Wang; Xinghui Zhao; David Chiu 001 (ICPADS, 2014)

Poster: A power-aware mobile app for field scientists. - Bo Wang; Xinghui Zhao; David Chiu 001 (MobiSys, 2014)

Self-adaptive parallel programming through tunable concurrency. - Tai Nguyen 002; Xinghui Zhao (SPLASH (Companion Volume), 2014)

Energy-aware resource allocation for multicores with per-core frequency scaling. - Xinghui Zhao; Nadeem Jamali (J. Internet Serv. Appl., 2014)

Modeling Parallel Molecular Simulations on Amazon EC2. - Xiangqiang Xu; Gabriel Dunham; Xinghui Zhao; David Chiu 001; Jie Xu (CCBD, 2015)

Smart grid line event classification using supervised learning over PMU data streams. - Duc Nguyen; Richard Barella; Scott A. Wallace; Xinghui Zhao; Xiaodong Liang (IGSC, 2015)

A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data. - Xiangqiang Xu; Xinghui Zhao (HPCC/CSS/ICESS, 2015)

Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). - Ali Jannesari; Siegfried Benkner; Xinghui Zhao; Ehsan Atoofian; Yukinori Sato (SPLASH (Companion Volume), 2015)

Evaluating work distribution patterns for parallel bitmap compression over SMPs. - Ben McCamish; Xinghui Zhao; David Chiu 001; Jason Sawin; Guadalupe Canahuate (SPLASH (Companion Volume), 2015)

A Sensitivity Study of PMU-based Fault Detection on Smart Grid. - Richard Barella; Duc Nguyen; Ryan Winter; Kuei-Ti Lu; Scott A. Wallace; Xinghui Zhao; Eduardo Cotilla Sanchez (SMARTGREENS, 2015)

A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid. - Richard Barella; Duc Nguyen; Ryan Winter; Kuei-Ti Lu; Scott A. Wallace; Xinghui Zhao; Eduardo Cotilla Sanchez (SMARTGREENS/VEHITS (Selected Papers), 2015)

Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks. - Jordan Landford; Rich Meier; Richard Barella; Xinghui Zhao; Eduardo Cotilla Sanchez; Robert B. Bass; Scott A. Wallace (CoRR, 2015)

Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. - Xuechen Zhang 001; Ujjwal Khanal; Xinghui Zhao; Stephen P. Ficklin (ICPADS, 2016)

Decoupled concurrency: a self-adaptive software architecture for programming multicores. - Tai Nguyen 002; Xinghui Zhao (SAC, 2016)

Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid. - Eric Klinginsmith; Richard Barella; Xinghui Zhao; Scott A. Wallace (SMARTGREENS, 2016)

Characterizing Smart Grid Events Using Clustering Methods. - Eric Klinginsmith; Richard Barella; Xinghui Zhao; Scott A. Wallace (SMARTGREENS/VEHITS (Selected Papers), 2016)

Fast Sequence Component Analysis for Attack Detection in Smart Grid. - Jordan Landford; Rich Meier; Richard Barella; Scott A. Wallace; Xinghui Zhao; Eduardo Cotilla Sanchez; Robert B. Bass (SMARTGREENS, 2016)

Mining PMU Data Streams to Improve Electric Power System Resilience. - Jun Jiang; Xinghui Zhao; Scott Wallace 001; Eduardo Cotilla Sanchez; Robert B. Bass (BDCAT, 2017)

Supporting Energy-Efficient Computing on Heterogeneous CPU-GPU Architectures. - Kyle Siehl; Xinghui Zhao (FiCloud, 2017)

An Actor-Based Framework for Edge Computing. - Austin Aske; Xinghui Zhao (UCC, 2017)

Generator Event Detection from Synchrophasor Data Using a Two-Step Time-Series Machine Learning Algorithm. - Jorge Berrios; Scott A. Wallace; Xinghui Zhao; Eduardo Cotilla Sanchez; Robert B. Bass (IGSC, 2018)

A Comprehensive Study on Bugs in Actor Systems. - Brandon Hedden; Xinghui Zhao (ICPP, 2018)

Supporting Multi-Provider Serverless Computing on the Edge. - Austin Aske; Xinghui Zhao (ICPP Workshops, 2018)

Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system. - Xuechen Zhang 001; Ujjwal Khanal; Xinghui Zhao; Stephen P. Ficklin (J. Parallel Distributed Comput., 2018)

Performance tuning for actor programs through decoupled concurrency. - Tai Nguyen 002; Xinghui Zhao (Softw. Qual. J., 2018)

Space-Time Effect Modelling with Machine Learning: A Scalable Approach for Assessing Efficiency of Coal Resources. - Liming Xue; Yulin Du; Wei Li; Xinghui Zhao (BigCom, 2019)

Episodic Detection of Spoofed Data In Synchrophasor Measurement Streams. - Xuan Liu; Scott A. Wallace; Xinghui Zhao; Eduardo Cotilla Sanchez; Robert B. Bass (IGSC, 2019)

Deadlock Detection for Concurrent Programs Using Resource Footprints. - Sonam Sherpa; Abdi Vicenciodelmoral; Xinghui Zhao (UCC Companion, 2019)

ℓp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. - Xinghui Zhao; Na Chen; Weifu Li; Jiangtao Peng; Lijun Shen (Remote. Sens., 2019)

Integration of Cloud, Internet of Things, and Big Data Analytics. - Gaurav Somani 001; Xinghui Zhao; Satish Narayana Srirama; Rajkumar Buyya (Softw. Pract. Exp., 2019)

Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection. - Tyler Petty; Thong Vu; Xinghui Zhao; Robert A. Hirsh; Greggory Murray; Francis M. Haas; Wei Xue (BDCAT, 2020)

Enabling Precise Control of a Haptic Device: A Machine Learning Approach. - Xinyu Zheng; Yuanmin Wang; Xinghui Zhao; Hakan Gurocak (BDCAT, 2020)

An End-to-End Toolkit for Social Network Analysis. - Jun Hao; Xinghui Zhao (IEEE BigData, 2020)

Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data. - Jun Jiang; Xuan Liu; Scott A. Wallace; Eduardo Cotilla Sanchez; Robert B. Bass; Xinghui Zhao (CoRR, 2020)

A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites. - Weifu Li; Xinghui Zhao; Jiangtao Peng; Zhicheng Luo; Lijun Shen; Hua Han 001; Peng Zhang 024; Lei Yang 035 (IEEE Geosci. Remote. Sens. Lett., 2020)

Honey-CNT based Resistive Switching Device for Neuromorphic Computing Applications. - Md. Mehedi Hasan Tanim; Abdi Yamil Vicenciodelmoral; Zoe Templin; Xinghui Zhao; Feng Zhao (BDCAT, 2022)

Supporting Green Neuromorphic Computing: Machine Learning Guided Microfabrication for Resistive Random Access Memory. - Abdi Yamil Vicenciodelmoral; Md. Mehedi Hasan Tanim; Feng Zhao; Xinghui Zhao (BDCAT, 2022)

Electro-Mechanical Data Fusion for Heart Health Monitoring. - Kemal Yakut; Muhammad Usman; Wei Xue; Francis M. Haas; Robert A. Hirsh; Joseph Boothby; Xinghui Zhao; Tyler Petty (ICHI, 2022)

BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. - Brian Koga; Theresa VanderWeide; Xinghui Zhao; Xuechen Zhang 001 (ICMLA, 2022)

Detecting cyber attacks with packet loss resilience for power systems. - Jonathan Cavitt; Scott Wallace 001; Xinghui Zhao (Sustain. Comput. Informatics Syst., 2022)

A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. - Alexander Flores; Anais Barja; Xianming Shi; Xinghui Zhao (ICMLA, 2023)

A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. - Abdi Yamil Vicenciodelmoral; Md. Mehedi Hasan Tanim; Feng Zhao; Xinghui Zhao (ICMLA, 2023)

A Hybrid Approach for Detecting Bugs in HPC Workloads. - Sonam Sherpa; Xinghui Zhao (ICPADS, 2023)

Early Wildfire Detection Using One Class Learning. - Wen Le Hong; Xinghui Zhao (IEEE Big Data, 2024)

Efficient Arrhythmia Detection Using Progressive Resolution Shrinking. - Tavonput Luangphasy; Xinghui Zhao (IEEE Big Data, 2024)

Poster: An Efficient Road Detection Framework for Supporting Autonomous Driving in Rural Areas. - Griffen Agnello; Ishparsh Uprety; Xinghui Zhao (MOST, 2024)

Supporting Deep Learning Based Autonomous Driving Applications on Resource-Constrained Devices. - Ishparsh Uprety; Griffen Agnello; Xinghui Zhao (MOST, 2024)

Real-time arrhythmia detection using convolutional neural networks. - Thong Vu; Tyler Petty; Kemal Yakut; Muhammad Usman; Wei Xue; Francis M. Haas; Robert A. Hirsh; Xinghui Zhao (Frontiers Big Data, 2024)

Solving the problem about the second largest normalized Laplacian eigenvalue. - Xinghui Zhao; Lihua You (Discret. Appl. Math., 2025)