Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYong Shi 0002
Person information
- affiliation: Kennesaw State University, Department of Computer Science, Kennesaw, GA, USA
- affiliation (PhD 2006): State University of New York at Buffalo, Department of Computer Science and Engineering, Buffalo, NY, USA
Other persons with the same name
- Yong Shi — disambiguation page
- Yong Shi 0001
![[0000-0001-7974-1079]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7974-1079")
— University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China (and 3 more) - Yong Shi 0003 — Shaanxi University of Science & Technology, School of Electrical and Control Engineering, Xi'an, China
- Yong Shi 0004 — Huainan Normal University, School of Computer Science, Huainan, China
- Yong Shi 0005 — China University of Geosciences, School of Economics and Management, Wuhan, China (and 1 more)
- Yong Shi 0006 — Heilongjiang University, School of Mechanical and Electrical Engineering, Harbin, China
- Yong Shi 0007 — Shanghai University of Sport, Department of Economics and Management, Shanghai, China (and 1 more)
- Yong Shi 0008 — Changzhou Institute of Technology, School of Computer Information and Engineering, Changzhou, China (and 1 more)
- Yong Shi 0009 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
- Yong Shi 0010 — Huawei Technologies, Trustworthiness Theory, Technology & Engineering Lab, Shenzhen, China
- Yong Shi 0011 — Xi'an Jiaotong University, Electronic and Information Engineering Department, Shaanxi, China
- Yong Shi 0012 — Microsoft Bing, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2021
[j4]P. Karuppusmay, Fuqian Shi, Yong Shi:
Special Issue: Capsule Networks and Imaging Science (CNIS). Neural Process. Lett. 53(4): 2381-2383 (2021)- 2011
- [j3]Yong Shi:
Finding Clusters and Outliers for Data Sets with Constraints. J. Intell. Syst. 20(1): 3-14 (2011) - [j2]Yong Shi, Li Zhang:
COID: A cluster-outlier iterative detection approach to multi-dimensional data analysis. Knowl. Inf. Syst. 28(3): 709-733 (2011) - 2010
- [j1]Yong Shi:
A Dimension Reduction Approach Using Shrinking for Multi-Dimensional Data Analysis. Int. J. Intell. Inf. Process. 1(2): 86-98 (2010)
Conference and Workshop Papers
- 2024
- [c56]Long Vu, Kun Suo, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi:
Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. ACM Southeast Regional Conference 2024: 18-26 - [c55]Chunlan Gao, Yong Shi:
Prediction Performance Analysis for ML Models Based on Impacts of Data Imbalance and Bias. ACM Southeast Regional Conference 2024: 235-240 - 2023
- [c54]Tarun Potluri, Yong Shi, Hossain Shahriar, Dan Chia-Tien Lo, Reza M. Parizi, Hongmei Chi, Kai Qian:
Secure Software Development in Google Colab. AIIoT 2023: 398-402 - [c53]Dhanunjai Bandi, Yong Shi, Hossain Shahriar, Dan C. Lo, Kun Suo, Hongmei Chi, Kai Qian:
Quantum Machine Learning for Security Data Analysis. AIIoT 2023: 460-465 - [c52]Joshua Priest, Cameron Cooper, Savvy Lovell, Yong Shi, Dan Lo:
Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. IEEE Big Data 2023: 2334-2338 - [c51]Dan Chia-Tien Lo, Bobin Deng, Yong Shi:
Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. IEEE Big Data 2023: 3470-3478 - [c50]William Downing, Dalton Harvey, Dennis Wagura, Yong Shi:
Blockchain Development in Colab: An Ethereum-Based Bicycle Registry System. CCWC 2023: 134-139 - [c49]Horatiu Lupsan, Remaz Ahmed, Yong Shi:
Cybersecurity in Malware Research. CCWC 2023: 593-597 - [c48]Yong Shi, Nazmus Sakib, Hossain Shahriar, Dan Lo, Hongmei Chi, Kai Qian:
AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. COMPSAC 2023: 991-992 - [c47]Eric Cooper, Eric Weese, Alex Fortson, Dan Lo, Yong Shi:
Cyber Security in Blockchain. DSC 2023: 1-11 - [c46]Yong Shi, Hossain Shahriar, Dan C. Lo, Kai Qian, Hongmei Chi:
Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. SIGCSE (2) 2023: 1307 - 2022
- [c45]Chunlan Gao, Yanqing Zhang, Dan Lo, Yong Shi, Jian Huang:
Improving the Machine Learning Prediction Accuracy with Clustering Discretization. CCWC 2022: 513-517 - [c44]Chulan Gao, Hossain Shahriar, Dan Lo, Yong Shi, Kai Qian:
Improving the Prediction Accuracy with Feature Selection for Ransomware Detection. COMPSAC 2022: 424-425 - [c43]Dan Chia-Tien Lo, Kai Qian, Yong Shi, Hossain Shahriar, Chung Ng:
Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. COMPSAC 2022: 428-429 - [c42]Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo:
Energy Efficiency on Edge Computing: Challenges and Vision. IPCCC 2022: 1-6 - [c41]Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung:
Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. IPCCC 2022: 7-16 - 2021
- [c40]Kun Suo, Yong Shi, Ahyoung Lee, Sabur Baidya:
Characterizing networking performance and interrupt overhead of container overlay networks. ACM Southeast Conference 2021: 93-99 - [c39]Justin Duchatellier, Tyler Holmes, Kun Suo, Yong Shi:
An empirical study of thermal attacks on edge platforms. ACM Southeast Conference 2021: 175-179 - [c38]Kousalya Banka, Kun Suo, Yong Shi, Sabur Baidya:
A study of state-of-the-art energy saving on edges. ACM Southeast Conference 2021: 224-228 - [c37]Divya Pramasani Mohandoss, Yong Shi, Kun Suo:
Outlier Prediction Using Random Forest Classifier. CCWC 2021: 27-33 - [c36]Yong Shi, Kun Suo, Jameson Hodge, Divya Pramasani Mohandoss, Steven Kemp:
Towards Optimizing Task Scheduling Process in Cloud Environment. CCWC 2021: 81-87 - [c35]Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie:
Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. SAC 2021: 1182-1189 - 2020
- [c34]Nusrat Asrafi, Dan Chia-Tien Lo, Reza M. Parizi, Yong Shi, Yu-Wen Chen:
Comparing Performance of Malware Classification on Automated Stacking. ACM Southeast Regional Conference 2020: 307-308 - [c33]Daniel Brown, Yong Shi:
A Distributed Density-Grid Clustering Algorithm for Multi-Dimensional Data. CCWC 2020: 1-8 - [c32]Arialdis Japa, Yong Shi:
Parallelizing the Bounded K-Nearest Neighbors Algorithm for Distributed Computing Systems. CCWC 2020: 38-45 - [c31]Kun Suo, Yong Shi, Xiaohua Xu, Dazhao Cheng, Wei Chen:
Tackling Cold Start in Serverless Computing with Container Runtime Reusing. NAI@SIGCOMM 2020: 54-55 - [c30]Madhuri Gurunathrao Desai, Yong Shi, Kun Suo:
IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning. UEMCON 2020: 316-322 - 2019
- [c29]Daniel Brown, Arialdis Japa, Yong Shi:
An Attempt at Improving Density-based Clustering Algorithms. ACM Southeast Regional Conference 2019: 172-175 - [c28]Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi:
Big Data Analysis on Social Networking. IEEE BigData 2019: 6220-6222 - [c27]Daniel Brown, Arialdis Japa, Yong Shi:
A Fast Density-Grid Based Clustering Method. CCWC 2019: 48-54 - 2018
- [c26]Yong Shi:
An attempt to analyze data distribution for abnormal behaviors. CCWC 2018: 275-280 - 2017
- [c25]Boyu Hou, Yong Shi, Kai Qian, Lixin Tao:
Towards Analyzing MongoDB NoSQL Security and Designing Injection Defense Solution. BigDataSecurity/HPSC/IDS 2017: 90-95 - [c24]Kai Qian, Yong Shi, Lixin Tao, Ying Qian:
Hands-On Learning for Computer Network Security with Mobile Devices. ICCCN 2017: 1-6 - 2016
- [c23]Tianda Yang, Kai Qian, Dan Chia-Tien Lo, Ying Xie, Yong Shi, Lixin Tao:
Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining. BigDataSecurity/HPSC/IDS 2016: 129-133 - [c22]Yong Shi, Dan Chia-Tien Lo, Kai Qian:
Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. COMPSAC Workshops 2016: 247-252 - [c21]Boyu Hou, Kai Qian, Lei Li, Yong Shi, Lixin Tao, Jigang Liu:
MongoDB NoSQL Injection Analysis and Detection. CSCloud 2016: 75-78 - [c20]Lei Li, Kai Qian, Ragib Hasan, Qian Chen, Dalei Wu, Yong Shi:
An Open and Portable Platform for Learning Data Security in Mobile Cloud Computing. SIGITE 2016: 108 - [c19]Yong Shi, Wanqing You, Kai Qian, Prabir Bhattacharya, Ying Qian:
A hybrid analysis for mobile security threat detection. UEMCON 2016: 1-7 - 2015
- [c18]Yong Shi, Sunpil Kim:
An Attempt to Find Information for Multi-dimensional Data Sets. ITNG 2015: 763-764 - 2013
- [c17]Yong Shi, Brian Graham:
Similarity Search Problem Research on Multi-dimensional Data Sets. ITNG 2013: 573-577 - 2012
- [c16]Yong Shi, Brian Graham:
A Similarity Search Approach to Solving the Multi-query Problems. ACIS-ICIS 2012: 237-242 - [c15]Yong Shi, Brian Graham:
An Approach to Reshaping Clusters for Nearest Neighbor Search. IDEAL 2012: 60-67 - 2010
- [c14]Yong Shi:
Towards improving a similarity search approach. ACM Southeast Regional Conference 2010: 49 - [c13]Yong Shi:
Towards improving subspace data analysis. ACM Southeast Regional Conference 2010: 63 - [c12]Yong Shi:
Obstacle clustering and outlier detection. ACM Southeast Regional Conference 2010: 88 - [c11]Yong Shi:
Inter-dimensional fuzzy clustering. ACM Southeast Regional Conference 2010: 89 - [c10]Yong Shi, Tyler Kling:
Improving the Ability of Mining for Multi-dimensional Data. FGIT-DTA/BSBT 2010: 291-298 - 2009
- [c9]Yong Shi:
Towards solving similarity search problems using fuzzy concept for multi-dimensional data. ACM Southeast Regional Conference 2009 - [c8]Yong Shi:
A dynamic insertion approach for multi-dimensional data using index structures. ACM Southeast Regional Conference 2009 - 2008
- [c7]Yong Shi:
SubCOID: an attempt to explore cluster-outlier iterative detection approach to multi-dimensional data analysis in subspace. ACM Southeast Regional Conference 2008: 132-135 - [c6]Yong Shi:
FuzzyShrinking: improving shrinking-based data mining algorithms using fuzzy concept for multi-dimensional data. ACM Southeast Regional Conference 2008: 260-263 - [c5]Yong Shi:
Detecting Clusters and Outliers for Multi-dimensional Data. MUE 2008: 429-432 - 2005
- [c4]Yong Shi, Aidong Zhang:
Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis. ICDE 2005: 518-519 - 2004
- [c3]Yong Shi, Aidong Zhang:
A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis. SSDBM 2004: 427-428 - 2003
- [c2]Yong Shi, Yuqing Song, Aidong Zhang:
A Shrinking-Based Approach for Multi-Dimensional Data Analysis. VLDB 2003: 440-451 - 2002
- [c1]Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan:
VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data. SDM 2002: 19-40
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-18 23:46 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
