VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data. - Li Zhang 008; Chun Tang; Yong Shi 002; Yuqing Song 002; Aidong Zhang; Murali Ramanathan (SDM, 2002)

A Shrinking-Based Approach for Multi-Dimensional Data Analysis. - Yong Shi 002; Yuqing Song 002; Aidong Zhang (VLDB, 2003)

A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis. - Yong Shi 002; Aidong Zhang (SSDBM, 2004)

Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis. - Yong Shi 002; Aidong Zhang (ICDE, 2005)

SubCOID: an attempt to explore cluster-outlier iterative detection approach to multi-dimensional data analysis in subspace. - Yong Shi 002 (ACM Southeast Regional Conference, 2008)

FuzzyShrinking: improving shrinking-based data mining algorithms using fuzzy concept for multi-dimensional data. - Yong Shi 002 (ACM Southeast Regional Conference, 2008)

Detecting Clusters and Outliers for Multi-dimensional Data. - Yong Shi 002 (MUE, 2008)

An integrated evaluation method for module-based undergraduate information retrieval education. - Lei Zhu 013; Jane Wong; Bradley Sturz; Yong Shi 002; Chun Tang (J. Comput. Sci. Coll., 2008)

Towards solving similarity search problems using fuzzy concept for multi-dimensional data. - Yong Shi 002 (ACM Southeast Regional Conference, 2009)

A dynamic insertion approach for multi-dimensional data using index structures. - Yong Shi 002 (ACM Southeast Regional Conference, 2009)

Towards improving a similarity search approach. - Yong Shi 002 (ACM Southeast Regional Conference, 2010)

Towards improving subspace data analysis. - Yong Shi 002 (ACM Southeast Regional Conference, 2010)

Obstacle clustering and outlier detection. - Yong Shi 002 (ACM Southeast Regional Conference, 2010)

Inter-dimensional fuzzy clustering. - Yong Shi 002 (ACM Southeast Regional Conference, 2010)

Improving the Ability of Mining for Multi-dimensional Data. - Yong Shi 002; Tyler Kling (FGIT-DTA/BSBT, 2010)

A Dimension Reduction Approach Using Shrinking for Multi-Dimensional Data Analysis. - Yong Shi 002 (Int. J. Intell. Inf. Process., 2010)

Finding Clusters and Outliers for Data Sets with Constraints. - Yong Shi 002 (J. Intell. Syst., 2011)

COID: A cluster-outlier iterative detection approach to multi-dimensional data analysis. - Yong Shi 002; Li Zhang 008 (Knowl. Inf. Syst., 2011)

A Similarity Search Approach to Solving the Multi-query Problems. - Yong Shi 002; Brian Graham (ACIS-ICIS, 2012)

An Approach to Reshaping Clusters for Nearest Neighbor Search. - Yong Shi 002; Brian Graham (IDEAL, 2012)

Similarity Search Problem Research on Multi-dimensional Data Sets. - Yong Shi 002; Brian Graham (ITNG, 2013)

An Attempt to Find Information for Multi-dimensional Data Sets. - Yong Shi 002; Sunpil Kim (ITNG, 2015)

Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining. - Tianda Yang; Kai Qian; Dan Chia-Tien Lo; Ying Xie 001; Yong Shi 002; Lixin Tao (BigDataSecurity/HPSC/IDS, 2016)

Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. - Yong Shi 002; Dan Chia-Tien Lo; Kai Qian (COMPSAC Workshops, 2016)

MongoDB NoSQL Injection Analysis and Detection. - Boyu Hou; Kai Qian; Lei Li 021; Yong Shi 002; Lixin Tao; Jigang Liu (CSCloud, 2016)

An Open and Portable Platform for Learning Data Security in Mobile Cloud Computing. - Lei Li 021; Kai Qian; Ragib Hasan; Qian Chen 019; Dalei Wu; Yong Shi 002 (SIGITE, 2016)

A hybrid analysis for mobile security threat detection. - Yong Shi 002; Wanqing You; Kai Qian; Prabir Bhattacharya; Ying Qian (UEMCON, 2016)

Towards Analyzing MongoDB NoSQL Security and Designing Injection Defense Solution. - Boyu Hou; Yong Shi 002; Kai Qian; Lixin Tao (BigDataSecurity/HPSC/IDS, 2017)

Hands-On Learning for Computer Network Security with Mobile Devices. - Kai Qian; Yong Shi 002; Lixin Tao; Ying Qian (ICCCN, 2017)

An attempt to analyze data distribution for abnormal behaviors. - Yong Shi 002 (CCWC, 2018)

An Attempt at Improving Density-based Clustering Algorithms. - Daniel Brown 002; Arialdis Japa; Yong Shi 002 (ACM Southeast Regional Conference, 2019)

Big Data Analysis on Social Networking. - Zhengwu Sun; Dan Chia-Tien Lo; Yong Shi 002 (IEEE BigData, 2019)

A Fast Density-Grid Based Clustering Method. - Daniel Brown 002; Arialdis Japa; Yong Shi 002 (CCWC, 2019)

Comparing Performance of Malware Classification on Automated Stacking. - Nusrat Asrafi; Dan Chia-Tien Lo; Reza M. Parizi; Yong Shi 002; Yu-Wen Chen (ACM Southeast Regional Conference, 2020)

A Distributed Density-Grid Clustering Algorithm for Multi-Dimensional Data. - Daniel Brown 002; Yong Shi 002 (CCWC, 2020)

Parallelizing the Bounded K-Nearest Neighbors Algorithm for Distributed Computing Systems. - Arialdis Japa; Yong Shi 002 (CCWC, 2020)

Tackling Cold Start in Serverless Computing with Container Runtime Reusing. - Kun Suo; Yong Shi 002; Xiaohua Xu 002; Dazhao Cheng; Wei Chen 038 (NAI@SIGCOMM, 2020)

IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning. - Madhuri Gurunathrao Desai; Yong Shi 002; Kun Suo (UEMCON, 2020)

A study of state-of-the-art energy saving on edges. - Kousalya Banka; Kun Suo; Yong Shi 002; Sabur Baidya (ACM Southeast Conference, 2021)

An empirical study of thermal attacks on edge platforms. - Justin Duchatellier; Tyler Holmes; Kun Suo; Yong Shi 002 (ACM Southeast Conference, 2021)

Characterizing networking performance and interrupt overhead of container overlay networks. - Kun Suo; Yong Shi 002; Ahyoung Lee; Sabur Baidya (ACM Southeast Conference, 2021)

Outlier Prediction Using Random Forest Classifier. - Divya Pramasani Mohandoss; Yong Shi 002; Kun Suo (CCWC, 2021)

Towards Optimizing Task Scheduling Process in Cloud Environment. - Yong Shi 002; Kun Suo; Jameson Hodge; Divya Pramasani Mohandoss; Steven Kemp (CCWC, 2021)

Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. - Kun Suo; Yong Shi 002; Chih-Cheng Hung; Patrick Bobbie (SAC, 2021)

Special Issue: Capsule Networks and Imaging Science (CNIS). - P. Karuppusmay; Fuqian Shi; Yong Shi 002 (Neural Process. Lett., 2021)

Improving the Machine Learning Prediction Accuracy with Clustering Discretization. - Chunlan Gao; Yanqing Zhang 001; Dan Lo 001; Yong Shi 002; Jian Huang (CCWC, 2022)

Improving the Prediction Accuracy with Feature Selection for Ransomware Detection. - Chulan Gao; Hossain Shahriar; Dan Lo 001; Yong Shi 002; Kai Qian (COMPSAC, 2022)

Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. - Dan Chia-Tien Lo; Kai Qian; Yong Shi 002; Hossain Shahriar; Chung Ng (COMPSAC, 2022)

Energy Efficiency on Edge Computing: Challenges and Vision. - Tyler Holmes; Charlie McLarty; Yong Shi 002; Patrick Bobbie; Kun Suo (IPCCC, 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 001; Yong Shi 002; Jing Selena He; Chih-Cheng Hung (IPCCC, 2022)

Quantum Machine Learning for Security Data Analysis. - Dhanunjai Bandi; Yong Shi 002; Hossain Shahriar; Dan C. Lo; Kun Suo; Hongmei Chi; Kai Qian (AIIoT, 2023)

Secure Software Development in Google Colab. - Tarun Potluri; Yong Shi 002; Hossain Shahriar; Dan Chia-Tien Lo; Reza M. Parizi; Hongmei Chi; Kai Qian (AIIoT, 2023)

Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. - Dan Chia-Tien Lo; Bobin Deng; Yong Shi 002 (IEEE Big Data, 2023)

Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. - Joshua Priest; Cameron Cooper; Savvy Lovell; Yong Shi 002; Dan Lo 001 (IEEE Big Data, 2023)

Blockchain Development in Colab: An Ethereum-Based Bicycle Registry System. - William Downing; Dalton Harvey; Dennis Wagura; Yong Shi 002 (CCWC, 2023)

Cybersecurity in Malware Research. - Horatiu Lupsan; Remaz Ahmed; Yong Shi 002 (CCWC, 2023)

AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. - Yong Shi 002; Nazmus Sakib; Hossain Shahriar; Dan Lo 001; Hongmei Chi; Kai Qian (COMPSAC, 2023)

Cyber Security in Blockchain. - Eric Cooper; Eric Weese; Alex Fortson; Dan Lo 001; Yong Shi 002 (DSC, 2023)

Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. - Yong Shi 002; Hossain Shahriar; Dan C. Lo; Kai Qian; Hongmei Chi (SIGCSE (2), 2023)

Prediction Performance Analysis for ML Models Based on Impacts of Data Imbalance and Bias. - Chunlan Gao; Yong Shi 002 (ACM Southeast Regional Conference, 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 001; Selena He; Yong Shi 002 (ACM Southeast Regional Conference, 2024)

Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge Graph. - Suman Bharti; Dan Chia-Tien Lo; Yong Shi 002 (IEEE Big Data, 2024)

Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. - Dan Chia-Tien Lo; Yong Shi 002; Hossain Shahriar; Bobin Deng; Xinyue Zhang 001; Mei-Lan Chen (IEEE Big Data, 2024)

A Hardware-in-the-Loop Wireless System Design: Benchmarking NFV Network Services. - Dillon J. Horton; Thai T. Vu; Tu N. Nguyen 001; Kun Suo; Ahyoung Lee; Selena He; Yong Shi 002 (CAMAD, 2024)

Enhancing Genomic Datasets with cGANs: A Study on Synthetic DNA Sequences for Non-Human Species. - Nishat Tasnim; Yong Shi 002; Kun Suo; Xinyue Zhang 001 (ICECET, 2024)

Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. - Yong Shi 002; Dan C. Lo; Hongmei Chi; Andrew Polisetty; Kun Suo; Tu Nguyen 001 (SIGCSE (2), 2025)