Xinghui Zhao

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 34

Top Topics

Unsupervised Clustering

Autonomous Driving

Scientific Data Analysis

Top Venues

Publications

Ishparsh Uprety, Griffen Agnello, Xinghui Zhao
Supporting Deep Learning Based Autonomous Driving Applications on Resource-Constrained Devices. MOST (2024)
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)
Griffen Agnello, Ishparsh Uprety, Xinghui Zhao
Poster: An Efficient Road Detection Framework for Supporting Autonomous Driving in Rural Areas. MOST (2024)
Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao
A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. ICMLA (2023)
Alexander Flores, Anais Barja, Xianming Shi, Xinghui Zhao
A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. ICMLA (2023)
Sonam Sherpa, Xinghui Zhao
A Hybrid Approach for Detecting Bugs in HPC Workloads. ICPADS (2023)
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)
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)
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)
Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA (2022)
Jonathan Cavitt, Scott Wallace, Xinghui Zhao
Detecting cyber attacks with packet loss resilience for power systems. Sustain. Comput. Informatics Syst. 34 (2022)
Jun Hao, Xinghui Zhao
An End-to-End Toolkit for Social Network Analysis. IEEE BigData (2020)
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 (2020)
Xinyu Zheng, Yuanmin Wang, Xinghui Zhao, Hakan Gurocak
Enabling Precise Control of a Haptic Device: A Machine Learning Approach. BDCAT (2020)
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) (2020)
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)
Sonam Sherpa, Abdi Vicenciodelmoral, Xinghui Zhao
Deadlock Detection for Concurrent Programs Using Resource Footprints. UCC Companion (2019)
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)
Xuan Liu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass
Episodic Detection of Spoofed Data In Synchrophasor Measurement Streams. IGSC (2019)
Gaurav Somani, Xinghui Zhao, Satish Narayana Srirama, Rajkumar Buyya
Integration of Cloud, Internet of Things, and Big Data Analytics. Softw. Pract. Exp. 49 (4) (2019)
Xinghui Zhao, Na Chen, Weifu Li, Jiangtao Peng, Lijun Shen
-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data. Remote. Sens. 11 (16) (2019)
Tai Nguyen, Xinghui Zhao
Performance tuning for actor programs through decoupled concurrency. Softw. Qual. J. 26 (3) (2018)
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 (2018)
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)
Austin Aske, Xinghui Zhao
Supporting Multi-Provider Serverless Computing on the Edge. ICPP Workshops (2018)
Brandon Hedden, Xinghui Zhao
A Comprehensive Study on Bugs in Actor Systems. ICPP (2018)
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)
Kyle Siehl, Xinghui Zhao
Supporting Energy-Efficient Computing on Heterogeneous CPU-GPU Architectures. FiCloud (2017)
Austin Aske, Xinghui Zhao
An Actor-Based Framework for Edge Computing. UCC (2017)
Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace
Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid. SMARTGREENS (2016)
Tai Nguyen, Xinghui Zhao
Decoupled concurrency: a self-adaptive software architecture for programming multicores. SAC (2016)
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)
Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace
Characterizing Smart Grid Events Using Clustering Methods. SMARTGREENS/VEHITS (Selected Papers) (2016)
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)
Xiangqiang Xu, Gabriel Dunham, Xinghui Zhao, David Chiu, Jie Xu
Modeling Parallel Molecular Simulations on Amazon EC2. CCBD (2015)
Ben McCamish, Xinghui Zhao, David Chiu, Jason Sawin, Guadalupe Canahuate
Evaluating work distribution patterns for parallel bitmap compression over SMPs. SPLASH (Companion Volume) (2015)
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 (2015)
Xiangqiang Xu, Xinghui Zhao
A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data. HPCC/CSS/ICESS (2015)
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)
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)
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)
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)
Tai Nguyen, Xinghui Zhao
Self-adaptive parallel programming through tunable concurrency. SPLASH (Companion Volume) (2014)
Xinghui Zhao, Nadeem Jamali
Energy-aware resource allocation for multicores with per-core frequency scaling. J. Internet Serv. Appl. 5 (1) (2014)
Bo Wang, Xinghui Zhao, David Chiu
Lightweight online power monitoring and control for mobile applications. ICPADS (2014)
Bo Wang, Xinghui Zhao, David Chiu
Poster: A power-aware mobile app for field scientists. MobiSys (2014)
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) (2013)
Xinghui Zhao, Nadeem Jamali
Load balancing non-uniform parallel computations. AGERE!@SPLASH (2013)
Love Kalra, Xinghui Zhao, Axel J. Soto, Evangelos E. Milios
A Two-Stage Corrective Markov Model for Activities of Daily Living Detection. ISAmI (2012)
Xinghui Zhao, Nadeem Jamali
Supporting Deadline Constrained Distributed Computations on Grids. GRID (2011)
Xinghui Zhao, Nadeem Jamali
Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations. SASO (2011)
Xinghui Zhao, Nadeem Jamali
Fine-grained per-core frequency scheduling for power efficient-multicore execution. IGCC (2011)
Xinghui Zhao, Nadeem Jamali
Self-Adaptive Resource Allocation in Open Distributed Systems. SASO (2010)
Xinghui Zhao, Nadeem Jamali
Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems. ICDCS Workshops (2010)
Nadeem Jamali, Xinghui Zhao
Self-Adapting Resource Bounded Distributed Computations. SASO (2007)
Nadeem Jamali, Xinghui Zhao
Distributed Coordination of Massively Multi-Agent Systems. MMAS/LSMAS/CCMMS (2006)
Nadeem Jamali, Xinghui Zhao
A scalable approach to multi-agent resource acquisition and control. AAMAS (2005)
Nadeem Jamali, Indratmo, Xinghui Zhao, Gul Agha
Decentralized Resource Control for Multi-Agent Systems. AAMAS (2004)
Nadeem Jamali, Xinghui Zhao
Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems. MMAS (2004)