Yong Shi

According to our database, Yong Shi authored at least 60 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies.

Long Vu, Kun Suo, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi

Proceedings of the 2024 ACM Southeast Conference, 2024

Prediction Performance Analysis for ML Models Based on Impacts of Data Imbalance and Bias.

Chunlan Gao, Yong Shi

Proceedings of the 2024 ACM Southeast Conference, 2024

2023

Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development.

Yong Shi, Hossain Shahriar, Dan C. Lo, Kai Qian, Hongmei Chi

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Cyber Security in Blockchain.

Eric Cooper, Eric Weese, Alex Fortson, Dan Lo, Yong Shi

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future.

Yong Shi, Nazmus Sakib, Hossain Shahriar, Dan Lo, Hongmei Chi, Kai Qian

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Cybersecurity in Malware Research.

Horatiu Lupsan, Remaz Ahmed, Yong Shi

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Blockchain Development in Colab: An Ethereum-Based Bicycle Registry System.

William Downing, Dalton Harvey, Dennis Wagura, Yong Shi

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain.

Joshua Priest, Cameron Cooper, Savvy Lovell, Yong Shi, Dan Lo

Proceedings of the IEEE International Conference on Big Data, 2023

Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle.

Dan Chia-Tien Lo, Bobin Deng, Yong Shi

Proceedings of the IEEE International Conference on Big Data, 2023

Secure Software Development in Google Colab.

Tarun Potluri, Yong Shi, Hossain Shahriar, Dan Chia-Tien Lo, Reza M. Parizi, Hongmei Chi, Kai Qian

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Quantum Machine Learning for Security Data Analysis.

Dhanunjai Bandi, Yong Shi, Hossain Shahriar, Dan C. Lo, Kun Suo, Hongmei Chi, Kai Qian

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices.

Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung

Proceedings of the IEEE International Performance, 2022

Energy Efficiency on Edge Computing: Challenges and Vision.

Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo

Proceedings of the IEEE International Performance, 2022

Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform.

Dan Chia-Tien Lo, Kai Qian, Yong Shi, Hossain Shahriar, Chung Ng

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Improving the Prediction Accuracy with Feature Selection for Ransomware Detection.

Chulan Gao, Hossain Shahriar, Dan Lo, Yong Shi, Kai Qian

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Improving the Machine Learning Prediction Accuracy with Clustering Discretization.

Chunlan Gao, Yanqing Zhang, Dan Lo, Yong Shi, Jian Huang

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021

Special Issue: Capsule Networks and Imaging Science (CNIS).

P. Karuppusmay, Fuqian Shi, Yong Shi

Neural Process. Lett., 2021

Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges.

Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Towards Optimizing Task Scheduling Process in Cloud Environment.

Yong Shi, Kun Suo, Jameson Hodge, Divya Pramasani Mohandoss, Steven Kemp

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Outlier Prediction Using Random Forest Classifier.

Divya Pramasani Mohandoss, Yong Shi, Kun Suo

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Characterizing networking performance and interrupt overhead of container overlay networks.

Kun Suo, Yong Shi, Ahyoung Lee, Sabur Baidya

Proceedings of the ACM SE '21: 2021 ACM Southeast Conference, 2021

An empirical study of thermal attacks on edge platforms.

Justin Duchatellier, Tyler Holmes, Kun Suo, Yong Shi

Proceedings of the ACM SE '21: 2021 ACM Southeast Conference, 2021

A study of state-of-the-art energy saving on edges.

Kousalya Banka, Kun Suo, Yong Shi, Sabur Baidya

Proceedings of the ACM SE '21: 2021 ACM Southeast Conference, 2021

2020

IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning.

Madhuri Gurunathrao Desai, Yong Shi, Kun Suo

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Tackling Cold Start in Serverless Computing with Container Runtime Reusing.

Kun Suo, Yong Shi, Xiaohua Xu, Dazhao Cheng, Wei Chen

Proceedings of the 2020 Workshop on Network Application Integration/CoDesign, 2020

Parallelizing the Bounded K-Nearest Neighbors Algorithm for Distributed Computing Systems.

Arialdis Japa, Yong Shi

Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

A Distributed Density-Grid Clustering Algorithm for Multi-Dimensional Data.

Daniel Brown, Yong Shi

Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

Comparing Performance of Malware Classification on Automated Stacking.

Nusrat Asrafi, Dan Chia-Tien Lo, Reza M. Parizi, Yong Shi, Yu-Wen Chen

Proceedings of the 2020 ACM Southeast Conference, 2020

2019

A Fast Density-Grid Based Clustering Method.

Daniel Brown, Arialdis Japa, Yong Shi

Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

Big Data Analysis on Social Networking.

Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

An Attempt at Improving Density-based Clustering Algorithms.

Daniel Brown, Arialdis Japa, Yong Shi

Proceedings of the 2019 ACM Southeast Conference, 2019

2018

An attempt to analyze data distribution for abnormal behaviors.

Yong Shi

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

2017

Hands-On Learning for Computer Network Security with Mobile Devices.

Kai Qian, Yong Shi, Lixin Tao, Ying Qian

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

Towards Analyzing MongoDB NoSQL Security and Designing Injection Defense Solution.

Boyu Hou, Yong Shi, Kai Qian, Lixin Tao

Proceedings of the 2017 IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity), 2017

2016

A hybrid analysis for mobile security threat detection.

Yong Shi, Wanqing You, Kai Qian, Prabir Bhattacharya, Ying Qian

Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

An Open and Portable Platform for Learning Data Security in Mobile Cloud Computing.

Lei Li, Kai Qian, Ragib Hasan, Qian Chen, Dalei Wu, Yong Shi

Proceedings of the 17th Annual Conference on Information Technology Education and the 5th Annual Conference on Research in Information Technology, 2016

MongoDB NoSQL Injection Analysis and Detection.

Boyu Hou, Kai Qian, Lei Li, Yong Shi, Lixin Tao, Jigang Liu

Proceedings of the 3rd IEEE International Conference on Cyber Security and Cloud Computing, 2016

Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment.

Yong Shi, Dan Chia-Tien Lo, Kai Qian

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining.

Tianda Yang, Kai Qian, Dan Chia-Tien Lo, Ying Xie, Yong Shi, Lixin Tao

Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016

2015

An Attempt to Find Information for Multi-dimensional Data Sets.

Yong Shi, Sunpil Kim

Proceedings of the 12th International Conference on Information Technology, 2015

2013

Similarity Search Problem Research on Multi-dimensional Data Sets.

Yong Shi, Brian Graham

Proceedings of the Tenth International Conference on Information Technology: New Generations, 2013

2012

An Approach to Reshaping Clusters for Nearest Neighbor Search.

Yong Shi, Brian Graham

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

A Similarity Search Approach to Solving the Multi-query Problems.

Yong Shi, Brian Graham

Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012

2011

COID: A cluster-outlier iterative detection approach to multi-dimensional data analysis.

Yong Shi, Li Zhang

Knowl. Inf. Syst., 2011

Finding Clusters and Outliers for Data Sets with Constraints.

Yong Shi

J. Intell. Syst., 2011

2010

A Dimension Reduction Approach Using Shrinking for Multi-Dimensional Data Analysis.

Yong Shi

Int. J. Intell. Inf. Process., 2010

Improving the Ability of Mining for Multi-dimensional Data.

Yong Shi, Tyler Kling

Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010

Inter-dimensional fuzzy clustering.

Yong Shi

Proceedings of the 48th Annual Southeast Regional Conference, 2010

Obstacle clustering and outlier detection.

Yong Shi

Proceedings of the 48th Annual Southeast Regional Conference, 2010

Towards improving subspace data analysis.

Yong Shi

Proceedings of the 48th Annual Southeast Regional Conference, 2010

Towards improving a similarity search approach.

Yong Shi

Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009

A dynamic insertion approach for multi-dimensional data using index structures.

Yong Shi

Proceedings of the 47th Annual Southeast Regional Conference, 2009

Towards solving similarity search problems using fuzzy concept for multi-dimensional data.

Yong Shi

Proceedings of the 47th Annual Southeast Regional Conference, 2009

2008

Detecting Clusters and Outliers for Multi-dimensional Data.

Yong Shi

Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering (MUE 2008), 2008

FuzzyShrinking: improving shrinking-based data mining algorithms using fuzzy concept for multi-dimensional data.

Yong Shi

Proceedings of the 46th Annual Southeast Regional Conference, 2008

SubCOID: an attempt to explore cluster-outlier iterative detection approach to multi-dimensional data analysis in subspace.

Yong Shi

Proceedings of the 46th Annual Southeast Regional Conference, 2008

2005

Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis.

Yong Shi, Aidong Zhang

Proceedings of the 21st International Conference on Data Engineering, 2005

2004

A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis.

Yong Shi, Aidong Zhang

Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

2003

A Shrinking-Based Approach for Multi-Dimensional Data Analysis.

Yong Shi, Yuqing Song, Aidong Zhang

Proceedings of 29th International Conference on Very Large Data Bases, 2003

2002

VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data.

Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan

Proceedings of the Second SIAM International Conference on Data Mining, 2002