Xinghui Zhao - RankMe

69 papers A 3B 6C 11Misc 3Journal 11Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Decentralized Machine Learning with Asynchronous Communication. Concurrent Programming, Open Systems and Formal Methods Tavonput Luangphasy, Xinghui Zhao
2025	Misc	`conf`	Edge-Deployable LLMs for Autonomous Vehicle Intelligence. SEC Ishparsh Uprety, Xinghui Zhao
2025	—	`conf`	Enhancing On-Chip Learning for RRAM Devices Through Evolutionary Theories. ICDM (Workshops) Mellanie Martin, Abdi Yamil Vicenciodelmoral, Xinghui Zhao
2025	—	`conf`	Multimodal Learning with Intermediate Fusion for Enhanced Arrhythmia Classification. ICDM (Workshops) Melissa Matteo, Mahjabeen Tammana Abed, Xinghui Zhao
2025	J	`jnl`	Solving the problem about the second largest normalized Laplacian eigenvalue. Discret. Appl. Math. Xinghui Zhao, Lihua You
2024	B	`conf`	Early Wildfire Detection Using One Class Learning. IEEE Big Data Wen Le Hong, Xinghui Zhao
2024	B	`conf`	Efficient Arrhythmia Detection Using Progressive Resolution Shrinking. IEEE Big Data Tavonput Luangphasy, Xinghui Zhao
2024	—	`conf`	Poster: An Efficient Road Detection Framework for Supporting Autonomous Driving in Rural Areas. MOST Griffen Agnello, Ishparsh Uprety, Xinghui Zhao
2024	J	`jnl`	Real-time arrhythmia detection using convolutional neural networks. Frontiers Big Data Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Xinghui Zhao
2024	—	`conf`	Supporting Deep Learning Based Autonomous Driving Applications on Resource-Constrained Devices. MOST Ishparsh Uprety, Griffen Agnello, Xinghui Zhao
2023	B	`conf`	A Hybrid Approach for Detecting Bugs in HPC Workloads. ICPADS Sonam Sherpa, Xinghui Zhao
2023	C	`conf`	A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. ICMLA Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao
2023	C	`conf`	A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. ICMLA Alexander Flores, Anais Barja, Xianming Shi, Xinghui Zhao
2022	C	`conf`	BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang
2022	J	`jnl`	Detecting cyber attacks with packet loss resilience for power systems. Sustain. Comput. Informatics Syst. Jonathan Cavitt, Scott Wallace, Xinghui Zhao
2022	—	`conf`	Electro-Mechanical Data Fusion for Heart Health Monitoring. ICHI Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Joseph Boothby, Xinghui Zhao, Tyler Petty
2022	C	`conf`	Honey-CNT based Resistive Switching Device for Neuromorphic Computing Applications. BDCAT Md. Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao
2022	C	`conf`	Supporting Green Neuromorphic Computing: Machine Learning Guided Microfabrication for Resistive Random Access Memory. BDCAT Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao
2020	J	`jnl`	A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites. IEEE Geosci. Remote. Sens. Lett. Weifu Li, Xinghui Zhao, Jiangtao Peng, Zhicheng Luo, Lijun Shen, Hua Han, Peng Zhang, Lei Yang
2020	—	`conf`	An End-to-End Toolkit for Social Network Analysis. IEEE BigData Jun Hao, Xinghui Zhao
2020	J	`jnl`	Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data. CoRR Jun Jiang, Xuan Liu, Scott A. Wallace, Eduardo Cotilla Sanchez, Robert B. Bass, Xinghui Zhao
2020	C	`conf`	Enabling Precise Control of a Haptic Device: A Machine Learning Approach. BDCAT Xinyu Zheng, Yuanmin Wang, Xinghui Zhao, Hakan Gurocak
2020	C	`conf`	Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection. BDCAT Tyler Petty, Thong Vu, Xinghui Zhao, Robert A. Hirsh, Greggory Murray, Francis M. Haas, Wei Xue
2019	—	`conf`	Deadlock Detection for Concurrent Programs Using Resource Footprints. UCC Companion Sonam Sherpa, Abdi Vicenciodelmoral, Xinghui Zhao
2019	—	`conf`	Episodic Detection of Spoofed Data In Synchrophasor Measurement Streams. IGSC Xuan Liu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass
2019	J	`jnl`	Integration of Cloud, Internet of Things, and Big Data Analytics. Softw. Pract. Exp. Gaurav Somani, Xinghui Zhao, Satish Narayana Srirama, Rajkumar Buyya
2019	C	`ed.`	Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019. BDCAT Kenneth Johnson, Josef Spillner, Xinghui Zhao, Olga Datskova, Blesson Varghese
2019	—	`conf`	Space-Time Effect Modelling with Machine Learning: A Scalable Approach for Assessing Efficiency of Coal Resources. BigCom Liming Xue, Yulin Du, Wei Li, Xinghui Zhao
2018	B	`conf`	A Comprehensive Study on Bugs in Actor Systems. ICPP Brandon Hedden, Xinghui Zhao
2018	—	`conf`	Generator Event Detection from Synchrophasor Data Using a Two-Step Time-Series Machine Learning Algorithm. IGSC Jorge Berrios, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass
2018	J	`jnl`	Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system. J. Parallel Distributed Comput. Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin
2018	J	`jnl`	Performance tuning for actor programs through decoupled concurrency. Softw. Qual. J. Tai Nguyen, Xinghui Zhao
2018	—	`conf`	Supporting Multi-Provider Serverless Computing on the Edge. ICPP Workshops Austin Aske, Xinghui Zhao
2017	Misc	`conf`	An Actor-Based Framework for Edge Computing. UCC Austin Aske, Xinghui Zhao
2017	C	`conf`	Mining PMU Data Streams to Improve Electric Power System Resilience. BDCAT Jun Jiang, Xinghui Zhao, Scott Wallace, Eduardo Cotilla Sanchez, Robert B. Bass
2017	C	`ed.`	Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2017, Austin, TX, USA, December 05 - 08, 2017 BDCAT Ashiq Anjum, Alan Sill, Xinghui Zhao, Mohsen M. Farid, Shrideep Pallickara, Jiannong Cao
2017	—	`conf`	Supporting Energy-Efficient Computing on Heterogeneous CPU-GPU Architectures. FiCloud Kyle Siehl, Xinghui Zhao
2016	—	`conf`	Characterizing Smart Grid Events Using Clustering Methods. SMARTGREENS/VEHITS (Selected Papers) Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace
2016	Misc	`conf`	Decoupled concurrency: a self-adaptive software architecture for programming multicores. SAC Tai Nguyen, Xinghui Zhao
2016	—	`conf`	Fast Sequence Component Analysis for Attack Detection in Smart Grid. SMARTGREENS Jordan Landford, Rich Meier, Richard Barella, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass
2016	C	`ed.`	Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016, Shanghai, China, December 6-9, 2016 BDCAT Ashiq Anjum, Xinghui Zhao
2016	B	`conf`	Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. ICPADS Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin
2016	—	`conf`	Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid. SMARTGREENS Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace
2015	—	`conf`	A Framework for Privacy-Aware Computing on Hybrid Clouds with Mixed-Sensitivity Data. HPCC/CSS/ICESS Xiangqiang Xu, Xinghui Zhao
2015	—	`conf`	A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid. SMARTGREENS/VEHITS (Selected Papers) Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez
2015	—	`conf`	A Sensitivity Study of PMU-based Fault Detection on Smart Grid. SMARTGREENS Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez
2015	—	`conf`	Evaluating work distribution patterns for parallel bitmap compression over SMPs. SPLASH (Companion Volume) Ben McCamish, Xinghui Zhao, David Chiu, Jason Sawin, Guadalupe Canahuate
2015	J	`jnl`	Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks. CoRR Jordan Landford, Rich Meier, Richard Barella, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass, Scott A. Wallace
2015	—	`conf`	Modeling Parallel Molecular Simulations on Amazon EC2. CCBD Xiangqiang Xu, Gabriel Dunham, Xinghui Zhao, David Chiu, Jie Xu
2015	—	`ed.`	Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2015, Pittsburgh, PA, USA, October 27, 2015 SEPS@SPLASH Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato
2015	—	`conf`	Smart grid line event classification using supervised learning over PMU data streams. IGSC Duc Nguyen, Richard Barella, Scott A. Wallace, Xinghui Zhao, Xiaodong Liang
2015	—	`conf`	Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). SPLASH (Companion Volume) Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato
2014	J	`jnl`	Energy-aware resource allocation for multicores with per-core frequency scaling. J. Internet Serv. Appl. Xinghui Zhao, Nadeem Jamali
2014	B	`conf`	Lightweight online power monitoring and control for mobile applications. ICPADS Bo Wang, Xinghui Zhao, David Chiu
2014	A	`conf`	Poster: A power-aware mobile app for field scientists. MobiSys Bo Wang, Xinghui Zhao, David Chiu
2014	—	`conf`	Self-adaptive parallel programming through tunable concurrency. SPLASH (Companion Volume) Tai Nguyen, Xinghui Zhao
2013	J	`jnl`	Detection of daily living activities using a two-stage Markov model. J. Ambient Intell. Smart Environ. Love Kalra, Xinghui Zhao, Axel J. Soto, Evangelos E. Milios
2013	—	`conf`	Load balancing non-uniform parallel computations. AGERE!@SPLASH Xinghui Zhao, Nadeem Jamali
2012	—	`conf`	A Two-Stage Corrective Markov Model for Activities of Daily Living Detection. ISAmI Love Kalra, Xinghui Zhao, Axel J. Soto, Evangelos E. Milios
2011	—	`conf`	Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations. SASO Xinghui Zhao, Nadeem Jamali
2011	—	`conf`	Fine-grained per-core frequency scheduling for power efficient-multicore execution. IGCC Xinghui Zhao, Nadeem Jamali
2011	—	`conf`	Supporting Deadline Constrained Distributed Computations on Grids. GRID Xinghui Zhao, Nadeem Jamali
2010	—	`conf`	Self-Adaptive Resource Allocation in Open Distributed Systems. SASO Xinghui Zhao, Nadeem Jamali
2010	—	`conf`	Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems. ICDCS Workshops Xinghui Zhao, Nadeem Jamali
2007	—	`conf`	Self-Adapting Resource Bounded Distributed Computations. SASO Nadeem Jamali, Xinghui Zhao
2006	—	`conf`	Distributed Coordination of Massively Multi-Agent Systems. MMAS/LSMAS/CCMMS Nadeem Jamali, Xinghui Zhao
2005	A	`conf`	A scalable approach to multi-agent resource acquisition and control. AAMAS Nadeem Jamali, Xinghui Zhao
2004	A	`conf`	Decentralized Resource Control for Multi-Agent Systems. AAMAS Nadeem Jamali, Indratmo, Xinghui Zhao, Gul Agha
2004	—	`conf`	Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems. MMAS Nadeem Jamali, Xinghui Zhao