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Journal Articles
- 2025
[j6]Tongzhijun Zhu, Ying Lin, Yanzhen Qu, Zediao Liu, Yayu Luo, Tenglong Mao, Ziyi Chen:
Federated learning with empirical insights: Leveraging gradient historical experiences for performance fairness. Pervasive Mob. Comput. 110: 102061 (2025)- 2024
- [j5]Kina Tatchukova
, Yanzhen Qu:
Restricting the Spurious Growth of Knowledge Graphs by Using Ontology Graphs. IEEE Access 12: 12797-12807 (2024) - 2023
- [j4]Mazen Alkhatib, Yanzhen Qu, Richard Cai, Ricardo Unglaub, Richard Ritter:
Real Time Virtual Laboratory Solution Prototype and Evaluation for Online Engineering Degree Programs. IEEE Access 11: 130508-130516 (2023) - 2020
- [j3]Cheng-Jun Zhang, Denghui Xia, Chao Zheng, Jianyong Wei, Yu Cui, Yanzhen Qu, Fangzhou Liao:
Automatic Identification of Coronary Arteries in Coronary Computed Tomographic Angiography. IEEE Access 8: 65566-65572 (2020) - 2014
- [j2]Wei Xiong, Hanping Hu, Naixue Xiong, Laurence T. Yang, Wen-Chih Peng, Xiaofei Wang, Yanzhen Qu:
Anomaly secure detection methods by analyzing dynamic characteristics of the network traffic in cloud communications. Inf. Sci. 258: 403-415 (2014) - 2013
- [j1]Neal N. Xiong, Hongju Cheng, Sajid Hussain, Yanzhen Qu:
Fault-Tolerant and Ubiquitous Computing in Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013)
Conference and Workshop Papers
- 2024
- [c24]Yanzhen Qu, Daniel Letort, Howard Evans, Noura Abbas, Richard Cai, Mazen Haj-Hussein, Anastasia Biggs, Janet Durgin:
Unlocking Learning Potential: Generative AI Chatbots as Study Partners in Online BS in Computer Science Degree Program. FIE 2024: 1-8 - 2022
- [c23]Ihsan Said, Yanzhen Qu:
A Study on the Performance Comparison of Five Popular Machine Learning Models Applied for Loan Risk Prediction. CSCI 2022: 670-676 - [c22]Edwin Arrey Agbor, Yanzhen Qu:
Creating a Dataset Used for Applying Machine Learning Techniques to Accurately Forecast the Energy Cost in Home-Based Small Businesses. CSCI 2022: 677-683 - [c21]James Merrill, Yanzhen Qu:
Qualitatively Evaluating a Four-Phase Process for Managing Solution of the United States' Biometric Identity Repository. CSCI 2022: 1004-1009 - [c20]Gregory Vsevolozhsky, Yanzhen Qu:
A Process Model for Ensuring Diffusion and Adhesion of Cybersecurity Innovations in Software Development Organizations. CSCI 2022: 1872-1878 - [c19]Yanzhen Qu, Richard Cai, Ricardo Unglaub:
An Effective Systematic Approach to Migrate a Bachelor of Science in Computer Engineering Degree Program to Online Modality. FIE 2022: 1-6 - 2021
- [c18]Toby Houchens, Yanzhen Qu:
Measuring the Effectiveness of Investment in Security Treatments through a Security ROI Model. CSCI 2021: 722-727 - [c17]Yanzhen Qu, Adam English, Brace Hannon:
Quantifying the Impact of Vulnerabilities of the Components of an Information System towards the Composite Rise Exposure. CSCI 2021: 788-793 - [c16]Yanzhen Qu, Olanrewaju Ogunkunle:
Enhancing the Intelligence of the Adaptive Learning Software through an AI assisted Data Analytics on Students Learning Attributes with Unequal Weight. FIE 2021: 1-6 - 2019
- [c15]Yanzhen Qu, Richard Cai, Mazen Haj-Hussein:
Research and Practice of Applying Adaptive Learning in Computer Science and IT Degree Programs. FIE 2019: 1-8 - 2018
- [c14]Yanzhen Qu, Anthony Kutscher:
Apply Data Analytics to Schedule Best-suited Classes for Students with Different Academic Histories. FIE 2018: 1-7 - 2017
- [c13]Kyle Morton, Yanzhen Qu, Marilyn Carroll:
An Affective Computing and Fuzzy Logic Framework to Recognize Affect for Cloud-based E-Learning Environment Using Emoticons. ICCCS (1) 2017: 288-299 - 2016
- [c12]Yanzhen Qu, Philip Chan:
Assessing Vulnerabilities in Bluetooth Low Energy (BLE) Wireless Network Based IoT Systems. BigDataSecurity/HPSC/IDS 2016: 42-48 - [c11]Mikayla Cohen, Yanzhen Qu:
An Efficient Hierarchical Comparison Mechanism for Cloud-Based Heterogeneous Product Lifecycle Management Systems. ICCCS (1) 2016: 217-228 - 2015
- [c10]Kyle Morton, Yanzhen Qu:
A Feedback Effectiveness Oriented Math Word Problem E-Tutor for E-Learning Environment. ICALT 2015: 301-302 - 2014
- [c9]Kelly Hughes, Yanzhen Qu:
Performance Measures of Behavior-Based Signatures: An Anti-malware Solution for Platforms with Limited Computing Resource. ARES 2014: 303-309 - 2013
- [c8]Annie Shebanow, Bo Ingvar Sandén, Yanzhen Qu:
Let's Trade Futures! a Novel Approach for Cloud Computing Resource Planning and Management. SOSE 2013: 145-149 - [c7]Yanzhen Qu, Kelly Hughes:
Detecting metamorphic malware by using behavior-based aggregated signature. WorldCIS 2013: 13-18 - 2012
- [c6]Yanzhen Qu, Naixue Xiong:
RFH: A Resilient, Fault-Tolerant and High-Efficient Replication Algorithm for Distributed Cloud Storage. ICPP 2012: 520-529 - [c5]Kelly Hughes, Yanzhen Qu:
A generic cyber attack response resource risk assessment model. ISI 2012: 183 - [c4]Bjorn Johnson, Yanzhen Qu:
A Holistic Model for Making Cloud Migration Decision: A Consideration of Security, Architecture and Business Economics. ISPA 2012: 435-441 - 2011
- [c3]Yanzhen Qu:
How to Secure the Cloud Based Enterprise Information System - - A Case Study on Security Education as the Critical Foundation for a MS-EIS Program. World Conference on Information Security Education 2011: 131-139 - [c2]Weiwen Yang, Yanzhen Qu, Bo Ingvar Sandén:
Improving the performance of the enterprise information system via optimal scheduling. IRI 2011: 337-341 - [c1]Yanzhen Qu, Weiwen Yang:
Improving the security of the distributed enterprise data warehouse system. ISI 2011: 227
Informal and Other Publications
- 2025
- [i1]Prakash Suman, Yanzhen Qu:
A Lightweight Deep Learning Model for Automatic Modulation Classification using Dual Path Deep Residual Shrinkage Network. CoRR abs/2507.04586 (2025)
Coauthor Index
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