Yong Shi - RankMe

70 papers A* 2A 1B 10C 3Misc 3Journal 6Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Promoting Quantum-based Machine Learning through Multifaceted Activities. SIGCSE (2) Yong Shi, Dan C. Lo, Valentina Nino, Hongmei Chi, Kun Suo, Tu Nguyen
2025	B	`conf`	Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. MASS Md. Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo
2025	J	`jnl`	Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. CoRR Md Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo
2025	Misc	`conf`	Minimizing Cost in Bistatic Radar Placement for Belt Coverage. SoftCOM Ethan Hunt, Bing-Hong Liu, Tu N. Nguyen, Yong Shi, Kun Suo
2025	—	`conf`	Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. SIGCSE (2) Yong Shi, Dan C. Lo, Hongmei Chi, Andrew Polisetty, Kun Suo, Tu Nguyen
2024	—	`conf`	A Hardware-in-the-Loop Wireless System Design: Benchmarking NFV Network Services. CAMAD Dillon J. Horton, Thai T. Vu, Tu N. Nguyen, Kun Suo, Ahyoung Lee, Selena He, Yong Shi
2024	B	`conf`	Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge Graph. IEEE Big Data Suman Bharti, Dan Chia-Tien Lo, Yong Shi
2024	—	`conf`	Enhancing Genomic Datasets with cGANs: A Study on Synthetic DNA Sequences for Non-Human Species. ICECET Nishat Tasnim, Yong Shi, Kun Suo, Xinyue Zhang
2024	—	`conf`	Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. ACM Southeast Regional Conference Long Vu, Kun Suo, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi
2024	B	`conf`	Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. IEEE Big Data Dan Chia-Tien Lo, Yong Shi, Hossain Shahriar, Bobin Deng, Xinyue Zhang, Mei-Lan Chen
2024	—	`conf`	Prediction Performance Analysis for ML Models Based on Impacts of Data Imbalance and Bias. ACM Southeast Regional Conference Chunlan Gao, Yong Shi
2023	B	`conf`	AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. COMPSAC Yong Shi, Nazmus Sakib, Hossain Shahriar, Dan Lo, Hongmei Chi, Kai Qian
2023	—	`conf`	Blockchain Development in Colab: An Ethereum-Based Bicycle Registry System. CCWC William Downing, Dalton Harvey, Dennis Wagura, Yong Shi
2023	—	`conf`	Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. SIGCSE (2) Yong Shi, Hossain Shahriar, Dan C. Lo, Kai Qian, Hongmei Chi
2023	—	`conf`	Cyber Security in Blockchain. DSC Eric Cooper, Eric Weese, Alex Fortson, Dan Lo, Yong Shi
2023	—	`conf`	Cybersecurity in Malware Research. CCWC Horatiu Lupsan, Remaz Ahmed, Yong Shi
2023	B	`conf`	Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. IEEE Big Data Dan Chia-Tien Lo, Bobin Deng, Yong Shi
2023	B	`conf`	Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. IEEE Big Data Joshua Priest, Cameron Cooper, Savvy Lovell, Yong Shi, Dan Lo
2023	—	`conf`	Quantum Machine Learning for Security Data Analysis. AIIoT Dhanunjai Bandi, Yong Shi, Hossain Shahriar, Dan C. Lo, Kun Suo, Hongmei Chi, Kai Qian
2023	—	`conf`	Secure Software Development in Google Colab. AIIoT Tarun Potluri, Yong Shi, Hossain Shahriar, Dan Chia-Tien Lo, Reza M. Parizi, Hongmei Chi, Kai Qian
2022	B	`conf`	Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. COMPSAC Dan Chia-Tien Lo, Kai Qian, Yong Shi, Hossain Shahriar, Chung Ng
2022	C	`conf`	Energy Efficiency on Edge Computing: Challenges and Vision. IPCCC Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo
2022	—	`conf`	Improving the Machine Learning Prediction Accuracy with Clustering Discretization. CCWC Chunlan Gao, Yanqing Zhang, Dan Lo, Yong Shi, Jian Huang
2022	B	`conf`	Improving the Prediction Accuracy with Feature Selection for Ransomware Detection. COMPSAC Chulan Gao, Hossain Shahriar, Dan Lo, Yong Shi, Kai Qian
2022	C	`conf`	Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. IPCCC Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung
2021	—	`conf`	A study of state-of-the-art energy saving on edges. ACM Southeast Conference Kousalya Banka, Kun Suo, Yong Shi, Sabur Baidya
2021	—	`conf`	An empirical study of thermal attacks on edge platforms. ACM Southeast Conference Justin Duchatellier, Tyler Holmes, Kun Suo, Yong Shi
2021	—	`conf`	Characterizing networking performance and interrupt overhead of container overlay networks. ACM Southeast Conference Kun Suo, Yong Shi, Ahyoung Lee, Sabur Baidya
2021	—	`conf`	Outlier Prediction Using Random Forest Classifier. CCWC Divya Pramasani Mohandoss, Yong Shi, Kun Suo
2021	Misc	`conf`	Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. SAC Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie
2021	J	`jnl`	Special Issue: Capsule Networks and Imaging Science (CNIS). Neural Process. Lett. P. Karuppusmay, Fuqian Shi, Yong Shi
2021	—	`conf`	Towards Optimizing Task Scheduling Process in Cloud Environment. CCWC Yong Shi, Kun Suo, Jameson Hodge, Divya Pramasani Mohandoss, Steven Kemp
2020	—	`conf`	A Distributed Density-Grid Clustering Algorithm for Multi-Dimensional Data. CCWC Daniel Brown, Yong Shi
2020	—	`conf`	Comparing Performance of Malware Classification on Automated Stacking. ACM Southeast Regional Conference Nusrat Asrafi, Dan Chia-Tien Lo, Reza M. Parizi, Yong Shi, Yu-Wen Chen
2020	—	`conf`	IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning. UEMCON Madhuri Gurunathrao Desai, Yong Shi, Kun Suo
2020	—	`conf`	Parallelizing the Bounded K-Nearest Neighbors Algorithm for Distributed Computing Systems. CCWC Arialdis Japa, Yong Shi
2020	—	`conf`	Tackling Cold Start in Serverless Computing with Container Runtime Reusing. NAI@SIGCOMM Kun Suo, Yong Shi, XiaoHua Xu, Dazhao Cheng, Wei Chen
2019	—	`conf`	A Fast Density-Grid Based Clustering Method. CCWC Daniel Brown, Arialdis Japa, Yong Shi
2019	—	`conf`	An Attempt at Improving Density-based Clustering Algorithms. ACM Southeast Regional Conference Daniel Brown, Arialdis Japa, Yong Shi
2019	—	`conf`	Big Data Analysis on Social Networking. IEEE BigData Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi
2018	—	`conf`	An attempt to analyze data distribution for abnormal behaviors. CCWC Yong Shi
2017	B	`conf`	Hands-On Learning for Computer Network Security with Mobile Devices. ICCCN Kai Qian, Yong Shi, Lixin Tao, Ying Qian
2017	—	`conf`	Towards Analyzing MongoDB NoSQL Security and Designing Injection Defense Solution. BigDataSecurity/HPSC/IDS Boyu Hou, Yong Shi, Kai Qian, Lixin Tao
2016	—	`conf`	A hybrid analysis for mobile security threat detection. UEMCON Yong Shi, Wanqing You, Kai Qian, Prabir Bhattacharya, Ying Qian
2016	Misc	`conf`	An Open and Portable Platform for Learning Data Security in Mobile Cloud Computing. SIGITE Lei Li, Kai Qian, Ragib Hasan, Qian Chen, Dalei Wu, Yong Shi
2016	—	`conf`	Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining. BigDataSecurity/HPSC/IDS Tianda Yang, Kai Qian, Dan Chia-Tien Lo, Ying Xie, Yong Shi, Lixin Tao
2016	—	`conf`	MongoDB NoSQL Injection Analysis and Detection. CSCloud Boyu Hou, Kai Qian, Lei Li, Yong Shi, Lixin Tao, Jigang Liu
2016	—	`conf`	Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. COMPSAC Workshops Yong Shi, Dan Chia-Tien Lo, Kai Qian
2015	—	`conf`	An Attempt to Find Information for Multi-dimensional Data Sets. ITNG Yong Shi, Sunpil Kim
2013	—	`conf`	Similarity Search Problem Research on Multi-dimensional Data Sets. ITNG Yong Shi, Brian Graham
2012	—	`conf`	A Similarity Search Approach to Solving the Multi-query Problems. ACIS-ICIS Yong Shi, Brian Graham
2012	C	`conf`	An Approach to Reshaping Clusters for Nearest Neighbor Search. IDEAL Yong Shi, Brian Graham
2011	J	`jnl`	COID: A cluster-outlier iterative detection approach to multi-dimensional data analysis. Knowl. Inf. Syst. Yong Shi, Li Zhang
2011	J	`jnl`	Finding Clusters and Outliers for Data Sets with Constraints. J. Intell. Syst. Yong Shi
2010	J	`jnl`	A Dimension Reduction Approach Using Shrinking for Multi-Dimensional Data Analysis. Int. J. Intell. Inf. Process. Yong Shi
2010	—	`conf`	Improving the Ability of Mining for Multi-dimensional Data. FGIT-DTA/BSBT Yong Shi, Tyler Kling
2010	—	`conf`	Inter-dimensional fuzzy clustering. ACM Southeast Regional Conference Yong Shi
2010	—	`conf`	Obstacle clustering and outlier detection. ACM Southeast Regional Conference Yong Shi
2010	—	`conf`	Towards improving a similarity search approach. ACM Southeast Regional Conference Yong Shi
2010	—	`conf`	Towards improving subspace data analysis. ACM Southeast Regional Conference Yong Shi
2009	—	`conf`	A dynamic insertion approach for multi-dimensional data using index structures. ACM Southeast Regional Conference Yong Shi
2009	—	`conf`	Towards solving similarity search problems using fuzzy concept for multi-dimensional data. ACM Southeast Regional Conference Yong Shi
2008	J	`jnl`	An integrated evaluation method for module-based undergraduate information retrieval education. J. Comput. Sci. Coll. Lei Zhu, Jane Wong, Bradley Sturz, Yong Shi, Chun Tang
2008	—	`conf`	Detecting Clusters and Outliers for Multi-dimensional Data. MUE Yong Shi
2008	—	`conf`	FuzzyShrinking: improving shrinking-based data mining algorithms using fuzzy concept for multi-dimensional data. ACM Southeast Regional Conference Yong Shi
2008	—	`conf`	SubCOID: an attempt to explore cluster-outlier iterative detection approach to multi-dimensional data analysis in subspace. ACM Southeast Regional Conference Yong Shi
2005	A*	`conf`	Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis. ICDE Yong Shi, Aidong Zhang
2004	B	`conf`	A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis. SSDBM Yong Shi, Aidong Zhang
2003	A*	`conf`	A Shrinking-Based Approach for Multi-Dimensional Data Analysis. VLDB Yong Shi, Yuqing Song, Aidong Zhang
2002	A	`conf`	VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data. SDM Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan