YU SUN, Ph.D.
Professor at Cal Poly Pomona
I am a Professor in the Computer Science Department at California State Polytechnic University, Pomona (Cal Poly Pomona), where I direct the Software Engineering and Mobile Cloud Computing Lab (SoftCom Lab). I also hold an adjunct professorship in the Computer Science Department at Vanderbilt University. My expertise spans software engineering, artificial intelligence, cloud computing, and mobile computing.
Building good software to solve real-world problems is my passion. Beyond research and teaching, I am the founder of Coding Mind, an educational AI technology startup promoting K-12 computer science education, a founding faculty member of Cal Poly Pomona's iLab innovation and entrepreneurship center, and the chairman of K12 Ventures Foundation, a non-profit technology entrepreneurship incubator. I also lead department outreach initiatives, including IgniteCS and the California Teaching Supplemental Authorization in Computer Science training.
Earlier in my career, I co-founded Ziiio, a startup providing large-scale mobile indoor navigation solutions, served as the Director of Engineering at Cloudpoint Labs, which focused on high-precision 3D augmented reality for mobile platforms, and worked on Amazon Silk, the cloud-based split mobile web browser for the Amazon Kindle Fire.
I worked as a Post-Doc Research Associate in Dr. Jules White's lab at the Institute for Software Integrated Systems at Vanderbilt University in 2014. I received my Ph.D. in Computer Science in December 2011 from the University of Alabama at Birmingham, advised by Dr. Jeff Gray, and my B.S. degree in Computer Science from Zhengzhou University, China in June 2007.
My research interests include:
- Software Engineering
- Artificial Intelligence
- Cloud Computing
- Mobile Computing
- K-12 Computer Science Education
- Software Entrepreneurship
Journal Papers
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2025
The Benefits of Socially Responsible Computing in Early Computing Courses: A Multi-Institutional Study at Primarily Undergraduate Hispanic-Serving Institutions
Ayaan M. Kazerouni, Melissa Lee, Aleata Hubbard Cheuoua, Aakash Gautam, Sahar Hooshmand, Paul Salvador Inventado, Eun-Young Kang, Jane Lehr, Yu Sun, Kevin A. Wortman, Ilmi Yoon, and Zo Wood, ACM Transactions on Computing Education (TOCE), vol. 25, no. 2, 2025
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2022
Analyzing the Effects of Different Policies and Strictness Levels on Monthly Coronavirus Case Increase Rates Using Machine Learning and Big Data Analysis
Charline Chen and Yu Sun, International Journal of Data Mining & Knowledge Management Process (IJDKP), vol. 12, no. 4, 2022
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2019
An IoT-Based Crowd Sourcing System for Object Tracking and Information Sharing
Mike Qu and Yu Sun, The International Journal of Artificial Intelligence & Applications (IJAIA), vol. 10, no. 1, January 2019
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2018
Analyzing Characteristics and Dynamics of User Behaviors in Social Q&A Community: Case Study of Zhihu.com
Bo Guo, Junrui Zhao, and Yu Sun, Data Analysis and Knowledge Discovery, vol. 2, no. 4, pp. 48-58, 2018
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2017
Gray Computing: A Framework for Computing with Background JavaScript Tasks
Yao Pan, Jules White, Yu Sun, and Jeff Gray, IEEE Transactions on Software Engineering, November 2017, doi: 10.1109/TSE.2017.2772812
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2017
Examining Product Reviews with Sentiment Analysis and Opinion Mining
Bo Guo, Li Shouguang, Wang Hao, Zhang Xiaojun, Gong Wei, Yu Zhaojun, and Yu Sun, Journal of Data Analysis and Knowledge Discovery, vol. 12, no. 12, 2017
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2017
A Survey to Real Time Message Routing Network System with KLA Modelling
Paul T. Chiou, Yu Sun, and G. S. Young, International Journal in Foundations of Computer Science & Technology (IJFCST), vol. 7, no. 3/4, pp. 1-22, July 2017, doi: 10.5121/ijfcst.2017.7401
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2016
Automated QoS-Oriented Cloud Resource Optimization using Containers
Yu Sun, Jules White, Bo Li, Michael Walker, and Hamilton Turner, Automated Software Engineering (Special Issue on Automation in Software Performance Engineering), pp. 1-37, 2016
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2016
NERD – Middleware for IoT Human Machine Interfaces
Thaddeus Czauski, Jules White, Yu Sun, Sean Eade, and Douglas C. Schmidt, Annals of Telecommunications, 71(3-4), pp. 109-119, 2016
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2016
Fast and Scalable Structure-from-Motion based Localization for High-precision Mobile Augmented Reality Systems
Hyojoon Bae, Michael Walker, Jules White, Yao Pan, Yu Sun, and Mani Golparvar-Fard, mUX: The Journal of Mobile User Experience, 5(1), pp. 1-21, 2016
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2015
Fast and Scalable 3D Cyber-physical Modeling for High-precision Mobile Augmented Reality Systems
Hyojoon Bae, Jules White, Mani Golparvar-Fard, Yao Pan, and Yu Sun, Springer Journal of Personal and Ubiquitous Computing, 19(8), pp. 1275-1294, 2015
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2015
ROAR: A QoS-Oriented Modeling Framework for Automated Cloud Resource Allocation and Optimization
Yu Sun, Jules White, Sean Eade, and Douglas C. Schmidt, Journal of Systems and Software, vol. 116, pp. 146-161, 2015
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2015
Software Frameworks for SDR
Max Robert, Yu Sun, Thomas Goodwin, Hamilton Turner, Jeff Reed, and Jules White, Proceedings of IEEE, vol.103, no.3, pp. 452-475, March 2015, doi: 10.1109/JPROC.2015.2391176
Paper: [PDF]
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2013
A Demonstration-based Model Transformation Approach to Automate Model Scalability
Yu Sun, Jeff Gray, and Jules White, Journal of Software and Systems Modeling, DOI: 10.1007/s10270-013-0374-0, 2013 (accepted for publication)
Paper: [PDF]
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2013
Automating the Management of Non-functional System Properties using Demonstration-based Model Transformation
Yu Sun, Jeff Gray, Romain Delamare, and Benoit Baudry, Journal of Software: Evolution and Process, DOI: 10.1002/smr.1606, 2013 (accepted for publication)
Paper: [PDF] [Wiley Online Library]
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2010
Enabling Tool Reuse and Interoperability through Model-Driven Engineering
Zekai Demirezen, Yu Sun, Jeff Gray, and Frédéric Jouault, Journal of Computational Methods in Science and Engineering (JCMSE), vol. 10, no. 2, September 2010, pp. 187-202.
Paper: [IOS Press Online]
Book Chapters
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2011
A WYSIWYG Approach to Support Layout Configuration in Model Evolutions
Yu Sun, Jeff Gray, Gerti Kappel, Philip Langer, Manuel Wimmer, and Jules White, Emerging Technologies for the Evolution and Maintenance of Software Models, edited by Jörg Rech and Christian Bunse, Idea Group, ISBN: 978-1-61350-438-32012, 2012, Chapter 4, pp. 92-120.
Paper: [PDF] [IGI Online Library]
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2011
Model-Driven Automated Error Recovery in Cloud Computing
Yu Sun, Jules White, Jeff Gray, and Aniruddha Gokhale, Model-driven Analysis and Software Development: Architectures and Functions, edited by Janis Osis and Erika Asnina, Idea Group, ISBN: 978-161692-874-2, 2011, Chapter 7, pp. 136-155.
Paper: [PDF] [IGI Online Library]
Conference Papers
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2025
PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, and Bo Li, The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, CA, December 2025
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2025
Integrating Socially Responsible Computing through Direct Community Engagement in CS2 to Promote Latinx Student Retention
Yu Sun, Qichao Dong, and Fang Tang, Proceedings of the 56th ACM Technical Symposium on Computer Science Education (SIGCSE), Pittsburgh, PA, March 2025
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2024
Socially Responsible Computing: Promoting Latinx Student Retention Via Community Engagement in Early Computer Science Courses
Zoe Wood and Yu Sun, ASEE Annual Conference & Exposition, Portland, OR, June 2024
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2023
How do Consumers Respond to Hotels’ Sustainability Efforts? Developing a Sustainability Index for the Lodging Industry with Business- and User-generated Content
Linchi Kwok, Ceiara Madrigal, and Yu Sun, The 2023 iHITA (International Hospitality Information Technology Association) Annual Conference, Toronto, Canada, June 2023
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2022
A Pose-based Image Searching using Computer Vision and Post-Estimate
Hang Wang, Evan Gunnell, and Yu Sun, 8th International Conference on Computer Science, Information Technology (CSITEC), Zurich, Switzerland, January 2022
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2021
GraphicalAI: A User-Centric Approach to Develop Artificial Intelligence and Machine Learning Applications using a Visual and Graphical Language
Andrew Shen and Yu Sun, 2nd International Conference on Computer Science, Engineering and Education, Barcelona, Spain, February 2021
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2019
Introducing EngOTG: A Framework for an Audio Study Material App for Engineering Students
Ghada M. Gad, Giuseppe Lomiento, and Yu Sun, ASEE Annual Conference & Exposition, Tampa, FL, June 2019
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2019
A Bluetooth-Based Proximity Sensing and Object-Tracking System
Mike Qu, Qi Lu, and Yu Sun, 10th International Conference on Database Management Systems, Copenhagen, Denmark, September 2019
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2019
An Adaptive and Smart System for Parental Control On Digital Games
Clark Ren, Yu Sun, and Fangyan Zhang, 8th International Conference on Software Engineering and Applications (JSE 2019), Copenhagen, Denmark, September 2019
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2019
Reminiscence: A Mobile Intelligent System to Assist Dementia Patients
Joanne Wang, Shiyu Feng, Amanda Zhu, Alina Yue, Fangyan Zhang, and Yu Sun, 8th International Conference on Information Technology Convergence and Services, Copenhagen, Denmark, September 2019
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2019
An Intelligent Internet-Of-Things (IoT) Door Bell System for Smart Notification Alert
Melissa Qian, Fangyan Zhang, and Yu Sun, 6th International Conference on Artificial Intelligence & Applications, Copenhagen, Denmark, September 2019
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2019
An Intelligent Mobile Application to Automate Food Health Recommendation Using Deep Learning
Patrick Gu, Fangyan Zhang, and Yu Sun, 9th International Conference on Advances in Computing and Information Technology, Copenhagen, Denmark, September 2019
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2018
An Event-Driven Data Analytics Management Platform to Monitor and Predict Lightning Events using Electric Insulators based on Artificial Intelligence
Shikai Gong, Yu Sun, and Fangyan Zhang, 7th International Conference on Computer Technology and Science, Ho Chi Minh, Vietnam, December 2018
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2018
An Intelligent Recording, Playback, and Text Input System for French Spelling Tests
Andrew Tang, Yu Sun, and Fangyan Zhang, 7th International Conference on Computer Technology and Science, Ho Chi Minh, Vietnam, December 2018
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2018
An Intelligent Business Inventory Management Application Using Artificial Intelligence and Voice Recognition
Zehao Li, Yu Sun, and Fangyan Zhang, 8th International Conference on Artificial Intelligence, Soft Computing and Applications, Melbourne, Australia, November 2018
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2018
An Intelligent Schedule Reminder Application using an Artificial Intelligence-based Chatbot
Kelvin Lee, Yu Sun, and Fangyan Zhang, 7th International Conference on Computer Technology and Science, Ho Chi Minh, Vietnam, December 2018
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2018
Devising an Application to Decrease Procrastination
Felianne Teng, Yu Sun, and Fangyan Zhang, 7th International Conference on Computer Technology and Science, Ho Chi Minh, Vietnam, December 2018
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2018
SmartStress: A Machine Learning-based Stress Management and Assistance System
Kevin Gao, Yu Sun, Fangyan Zhang, and Bo Guo, The 20th International Conference on Artificial Intelligence, Las Vegas, NV, July 2018
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2018
Modeling CDC Data for Real Time Feature Estimation
Tannaz Rezaei Damavandi, Sampath Jayarathna, and Yu Sun, The 19th IEEE International Conference on Information Reuse and Integration, Salt Lake City, UT, July 2018
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2018
An Intelligent System to Predict Future Performance of Youth Football Players using Machine Learning
Wenjie Fu, Yu Sun, Fangyan Zhang, and Bo Guo, The 20th International Conference on Artificial Intelligence, Las Vegas, NV, July 2018
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2018
SmartCarb: An Intelligent Mobile System to Assist Diet Control for Gestational Diabetes Patients using Deep Learning Neural Networks
Yujie Hu, Yu Sun, Fangyan Zhang, and Bo Guo, The 4th International Conference on Health Informatics and Medical Systems, Las Vegas, NV, July 2018
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2018
PAULS CART 2.0: An Improved Assistive System to Support Inclusive Education
Paul T. Chiou, Yu Sun, and G. S. Young, The 14th International Conference on Frontiers in Education: Computer Science and Computer Engineering, Las Vegas, NV, July 2018
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2018
A Smart IoT-Based Irrigation System with Automated Plant Recognition using Deep Learning
Jessica Kwok and Yu Sun, The 7th International Conference On Intelligent Computing And Applications, Sydney, Australia, January 2018
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2017
A Deep Dive into Automatic Code Generation Using Character-Based Deep Learning
Renita Priya, Xinyuan Wang, Yujie Hu, and Yu Sun, International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, December 2017
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2017
An Intelligent Mobile Application for Maximizing Credit Card Rewards
Yiming Shan, Xinyuan Wang, Yujie Hu, and Yu Sun, International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, December 2017
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2017
Detecting Spammers in E-commerce Website via Spectrum Features of User Relation Graph
Bo Guo, Hao Wang, Zhaojun Yu, and Yu Sun, International Conference on Advanced Cloud and Big Data, Shanghai, China, August 2017
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2017
Detecting the Internet Water Army via Comprehensive Behavioral Features using Large-scale E-commerce Reviews
Bo Guo, Hao Wang, Zhaojun Yu, and Yu Sun, International Conference on Computer, Information, and Telecommunication Systems, Dalian, China, July 2017
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2017
A Complexity Analysis of the JPEG Image Compression Algorithm
Paul T. Chiou, Yu Sun, and G. S. Young, 9th Computer Science and Electronic Engineering Conference (CEEC), Colchester, UK, September 2017
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2017
An Intelligent Self-Adaptive System To Automate The Sprinkler Control
Jiahao Li, Yu Sun, and Fangyan Zhang, 7th International Conference on Computer Science, Engineering and Applications (ICCSEA), Copenhagen, Denmark, September 2017
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2017
An Innovative Social Mobile Platform To Support Real-Time Communication In Peer Tutoring
Meghan Wang and Yu Sun, 7th International Conference on Computer Science, Engineering and Applications (ICCSEA), Copenhagen, Denmark, September 2017
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2017
Automated Flowering Time Prediction using Data Mining and Machine Learning
Runxuan Li, Yu Sun, and Qingquan Sun, EAI International Conference on Machine Learning and Intelligent Communications, Weihai, Shandong, China, August 2017
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2017
A Geo-Based Fine Granularity Air Quality Prediction using Machine Learning and Internet-Of-Things
Hang Wang, Yu Sun, and Qingquan Sun, EAI International Conference on Machine Learning and Intelligent Communications, Weihai, Shandong, China, August 2017
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2017
Space Encoding Based Compressive Tracking with Wireless Fiber-Optic Sensors
Qingquan Sun, Jiang Lu, Yu Sun, Haiyan Qiao, and Yunfei Hou, EAI International Conference on Machine Learning and Intelligent Communications, Weihai, Shandong, China, August 2017
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2017
An Intelligent and Automated PDF Format Checker
Tsaihsuan Yang and Yu Sun, The 13th International Conference on Frontiers in Education: Computer Science and Computer Engineering, Las Vegas, NV, July 2017
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2017
An Intelligent and Semantics-Aware Distraction-Free Writing System
Jonathan Johannsen and Yu Sun, IEEE International Conference on Semantic Computing (ICSC), San Diego, CA, January 2017
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2016
Template-Based Code Generation Framework for Data-Driven Software Development
Kshitija Shinde and Yu Sun, International Conference on Applied Computing and Information Technology, Las Vegas, NV, December 2016
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2016
An Intelligent Approach to Review Filtering and Review Quality Improvement
Iain Lee, Yuexin Li, and Yu Sun, International Conference on Applied Computing and Information Technology, Las Vegas, NV, December 2016
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2016
Assessing the Threat of Web Worker Distributed Attacks
Yao Pan, Jules White, and Yu Sun, IEEE Conference on Communications and Network Security, Philadelphia, PA, October 2016
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2016
On Bed Posture Recognition with Pressure Sensor Array System
Qingquan Sun, Eli Gonzales, and Yu Sun, IEEE Sensors, Orlando, FL, October 2016
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2016
An Intelligent Mobile-Based Crowdsourcing Information Notification System for Developing Countries
Arun Singh, Yuexin Li, Yu Sun, and Qingquan Sun, EAI International Conference on Machine Learning and Intelligent Communications, Shanghai, China, August 2016
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2016
A Redundant Networking Channel to Support Reliable Communications in the Internet of Things Applications
Michael Ortiz, Yu Sun, Gilbert Young, and Qingquan Sun, EAI International Conference on Machine Learning and Intelligent Communications, Shanghai, China, August 2016
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2016
Enhancing the Kinesthetic Learning Activities (KLA) in CS Education Using Mobile Applications
Sean Chen, Yu Sun, and Gilbert Young, The Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), Arequipa, Peru, 2016
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2016
A Model-Driven Approach to Automate the Development of Communication Channels for Internet of Things Applications
Roshan Rathod and Yu Sun, International Conference on Internet of Things and Applications (IOTA), Pune, India, January 2016
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2016
Construction of a Geo-Location Service Utilizing Microblogging Platforms
Jonathan Bassi, Sukanya Manna, and Yu Sun, IEEE International Conference on Semantic Computing (ICSC), Laguna Hills, CA, February 2016
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2015
Gray Computing: Assessing the Potential of Distributed Data Processing in Web Browsers
Yao Pan, Jules White, Yu Sun, and Jeff Gray, International Conference on Software Engineering (ICSE), Florence, Italy, May 2015
Paper: [PDF]
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2015
Bridging Semantics with Physical Objects using Augmented Reality
Yu Sun, Hyojoon Bae, Sukanya Manna, Jules White and Mani Golparvar-Fard, IEEE International Conference on Semantic Computing (ICSC), Anaheim, CA, Feburary 2015
Paper: [PDF]
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2014
A Model-Based System to Automate Cloud Resource Allocation and Optimization
Yu Sun, Jules White and Sean Eade, International Conference on Model Driven Engineering Languages and Systems (MoDELS), Valencia, Spain, October 2014, pp. 18-34.
Paper: [PDF]
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2013
Model Transformation By Demonstration Debugger: End-User Support for Debugging Model Transformation Execution
Yu Sun, and Jeff Gray, European Conference on Modeling Foundations and Applications (ECMFA), Springer-Verlag LNCS 7949, Montpellier, France, July 2013, pp. 86-100.
Paper: [PDF]
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2012
A Model-Driven Approach to Support Engineering Changes in Industrial Robotics Software
Yu Sun, Jeff Gray, Karlheinz Bulheller, and Nicolaus Von Baillou, International Conference on Model Driven Engineering Languages and Systems (MoDELS), Springer-Verlag LNCS 7590, Innsbruck, Austria, October 2012, pp. 368-382.
Paper: [PDF]
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2012
UWoN (User Workflow Notation): A Visualization Tool for User Workflow Analysis and Modeling for Developing Healthcare IT
Xianjun Sam Zheng, Stefan Christov, Yu Sun, and Xiping Song, International Symposium on Human Factors and Ergonomics in Health Care: Bridging the Gap, Baltimore, MD, March 2012.
Paper: [PDF]
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2011
A Demonstration-based Approach to Support Live Transformations in a Model Editor
Yu Sun, Jeff Gray, Christoph Wienands, Michael Golm, and Jules White, International Conference on Model Transformation (ICMT), Springer-Verlag LNCS 6707, Zurich, Switzerland, June 2011, pp. 213-227. (21% Acceptance Rate)
Paper: [PDF]
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2011
A Platform-Independent Tool for Modeling Parallel Programs
Ferosh Jacob, Yu Sun, Jeff Gray, and Puri Bangalore, 49th Annual ACM Southeast Conference, Kennesaw, GA, March 2011, pp. 138-143.
Paper: [PDF]
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2011
Apply Model-Driven Design and Development to Distributed Time-Triggered Systems
Yu Sun, Christoph Wienands, and Meik Felser, International Conference on Engineering and Meta-Engineering (ICEME), Orlando, FL, March 2011.
Paper: [PDF]
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2009
Model Transformation by Demonstration
Yu Sun, Jules White, and Jeff Gray, International Conference on Model Driven Engineering Languages and Systems (MoDELS), Springer-Verlag LNCS 5795, Denver, CO, October 2009, pp. 712-726.
Paper: [PDF]
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2009
Supporting Tool Reuse with Model Transformation
Zekai Demirezen, Yu Sun, Jeff Gray, and Frederic Jouault, International Conference on Software and Data Engineering (SEDE), Las Vegas, NV, June 2009, pp. 119-125.
Paper: [PDF]
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2008
Tool Interoperability through Model Transformations
Yu Sun, Zekai Demirezen, Frédéric Jouault, Robert Tairas, and Jeff Gray, International Conference on Software Language Engineering (SLE), Springer-Verlag LNCS 5452, Toulouse, France, September 2008, pp. 178-187.
Paper: [PDF]
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2008
Profiler Instrumentation Using Metaprogramming Techniques
Ritu Arora, Yu Sun, Zekai Demirezen, and Jeff Gray, ACM Southeast Conference, Auburn, AL, March 2008.
Paper: [PDF]
Workshop Papers
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2012
Quality-Aware Academic Research Tool Development
Hyun Cho, Yu Sun, and Jeff Gray, International Workshop on Software Quality and Management (SQAM), held at the Asia-Pacific Software Engineering Conference (APSEC), Hong Kong, December 2012.
Paper: [PDF]
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2011
Supporting Feature Model Configuration Knowledge Reuse using Demonstration-based Model Transformation
Yu Sun, Hyun Cho, Jeff Gray, and Jules White, Workshop on Product Line Approaches in Software Engineering (PLEASE), held at ICSE 2011, Honolulu, HI, May 2011.
Paper: [PDF]
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2011
Key Challenges for Modeling Language Creation By Demonstration
Hyun Cho, Yu Sun, Jules White, and Jeff Gray, Workshop on Flexible Modeling Tools, held at ICSE 2011, Honolulu, HI, May 2011.
Paper: [PDF]
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2010
A WYSIWYG Approach for Configuring Model Layout using Model Transformations
Yu Sun, Jeff Gray, Philip Langer, Manuel Wimmer, and Jules White, 10th Workshop on Domain-Specific Modeling (DSM), held at SPLASH 2010, Reno, NV, October 2010.
Paper: [PDF]
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2010
MT-Scribe: A Flexible Tool to Support Model Evolution
Yu Sun, Jeff Gray, and Jules White, Workshop on Flexible Modeling Tools (FlexiTools), held at SPLASH 2010, Reno, NV, October 2010.
Paper: [PDF]
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2008
Is My DSL a Modeling or Programming Language?
Yu Sun, Zekai Demirezen, Marjan Mernik, Jeff Gray, and Barrett Bryant, Workshop on Domain-Specific ProgramDevelopment (DSPD), held at International Conference on Generative Programming and Component Engineering (GPCE), Nashville, TN, October 2008.
Paper: [PDF]
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2008
Model Transformations Require Formal Semantics
Yu Sun, Zekai Demirezen, Tomaz Lukman, Marjan Mernik, and Jeff Gray, Workshop on Domain-Specific Program Development (DSPD), held at International Conference on Generative Programming and Component Engineering (GPCE), Nashville, TN, October 2008.
Paper: [PDF]
Doctoral Symposia
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2009
Model Transformation by Demonstration
Yu Sun, Doctoral Symposium, International Conference on Object-Oriented Programming, Systems, Languages and Applications (OOPSLA), Orlando, FL, October 2009.
Paper: [PDF]
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2009
Model Transformation by Demonstration
Yu Sun, Doctoral Symposium, International Conference on Model Driven Engineering Languages and Systems (MoDELS), Denver, CO, October 2009.
Paper: [PDF]
Tool Demonstrations
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2011
MT-Scribe: An End-User Approach to Automate Software Model Evolution
Yu Sun, Jeff Gray, and Jules White, Tool Demonstration, International Conference on Software Engineering (ICSE), Honolulu, HI, May 2011.
Video Demo: [Youtube]
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2009
MT-Scribe: A Tool for Recording and Inferring Model Transformations
Yu Sun, Jules White, Jeff Gray, and Aniruddha Gokhale, Tool Demonstration, International Conference on Object-Oriented Programming, Systems, Languages and Applications (OOPSLA), Orlando, FL, October 2009.
Posters
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2017
An Empirical Study of Accessibility Practices on Google Play’s Top Free Android Applications
Paul Chiou and Yu Sun, 3rd Cal Poly Pomona Creative Activities and Research Symposium, Pomona, CA, August 2017
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2017
iVote: A Web-Based Mobile Classroom Response System
Yu Sun, PolyTeach, Pomona, CA, April 2017
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2011
An End-User Demonstration Approach to Support Aspect-Oriented Modeling
Yu Sun, Student Research Competition, International Conference on Software Engineering (ICSE), Honolulu, HI, May 2011. (Top 5 Finalist in ACM SIGSOFT Student Research Competition 2011)
Paper: [PDF]
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2010
Model Scalability Using a Model Recording and Inference Engine
Yu Sun, Students Research Competition, International Conference on Object-Oriented Programming, Systems, Languages and Applications (SPLASH/OOPSLA), Reno, NV, October 2010.
Paper: [PDF]
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2009
Supporting Model Evolution through Demonstration-based Model Transformation
Yu Sun, Students Research Competition, International Conference on Object-Oriented Programming, Systems, Languages and Applications (OOPSLA), Orlando, FL, October 2009. (Top 5 Finalist in ACM SIGPLAN Student Research Competition 2009).
Paper: [PDF]
Abstracts
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2017
EnvisioNyx: An Automated Assistive Tool to Integrate Web Accessibility Compliance for the Visually Impaired
Paul Chiou and Yu Sun, Southern California Conferences for Undergraduate Research, Pomona, CA, November 2017
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2015
iVote: A Web-Based Classroom Response System for Mobile Platforms
Yu Sun, The 18th CSU Symposium on University Teaching, Los Angeles, CA, March 2015
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2011
Supporting Aspect-Oriented Modeling through a Demonstration-based Model Transformation Approach
Yu Sun, Jeff Gray, and Barrett Bryant, 88th Annual Meeting of the Alabama Academy of Science, Jacksonville, AL, March 2011 (Best Student Paper Award)
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2011
An End-User Demonstration Approach to Support Aspect-Oriented Modeling
Yu Sun, UAB Graduate Student Research Days, Birmingham, AL, February 2011
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2010
A Demonstration-based Model Transformation Approach to Support Model Scalability
Yu Sun, UAB Graduate Student Research Days, Birmingham, AL, February 2010
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2009
Demonstration-based Inference of Model Transformations
Yu Sun, ACM Mid-Southeast Conference, Gatlinburg, TN, November 2009
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2009
Model Transformation by Demonstration
Yu Sun, UAB Graduate Student Research Days, Birmingham, AL, February 2009
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2008
Homogenizing Tool-specific Formats using Model Transformations
Yu Sun, UAB Graduate Student Research Days, Birmingham, AL, February 2008
Dissertation
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2011
Model Transformation By Demonstration: An End-User Centric Approach to Support Model Evolution
Yu Sun, Ph.D. Dissertation, Department of Computer and Information Sciences, the University of Alabama at Birmingham, Birmingham, AL, December 2011.
Paper: [PDF]
Large-Scale Indoor Navigation System
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A startup company grown from a university research project. Ziiio builds turn-by-turn navigation systems for large-scale venues using mobile platforms. We specialize in making it easy for your visitors to navigate hundreds of locations and millions of square feet without getting lost.
More Info: [Ziiio Website]
iVote: A Web-based Real-time Classroom Response System
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Audience response systems such as iClicker have been successfully applied in classrooms to enhance the learning, engagement, and participation of students. Although the dedicated response device is easy to use, a few issues prevent it from being adopted at a larger scale: 1) students have to purchase and remember to bring the device to classrooms; 2) the device is not flexible to support a diverse range of questions (e.g., iClicker only support questions with a maximum of 5 answer options); 3) the device does not support two-way interactions (e.g., the device cannot receive feedbacks). To address these issues, we have built a web-based response system that can be directly used in any of the mobile devices or computers. Instructors are enabled to customize questions, view real-time response status, and send feedbacks to students.
More Info: [iVote Website]
High-Precision Mobile Augmented Reality
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Hybrid 4-Dimensional Augmented Reality (HD4AR) provides high-precision and robust mobile augmented reality using millimeter-level alignment of cyber information with real-world imagery. A user can snap an image of the physical world, upload the photograph to a cloud-based server, and receive an augmented image back that visualizes cyber-information on top of it in seconds. This is a commerialized university research project based on computer vision, mobile and cloud computing.
Video Demos: [Youtube Channel]
Amazon Silk
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A key challenge with mobile web browsers is that the browsing performance is always limited by the networking and computation capacity available to the device at a particular location of use. The Amazon Silk mobile web browser, originated from a research project, is based on a split architecture, where certain browser processing is performed in Amazon’s powerful cloud servers and the client devices only handle the lightweight computation related with rendering and UI control.
More Info: [Team Blog]
Model Transformation By Demonstration (MTBD)
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When models become the first-class entities for constructing software systems, the models often need to be transformed and evolved to adapt to various system changes, such as model refactoring, model scalability, and aspect-oriented modeling. Instead of using the traditional approach to write transformation programs to automate the evolution process, MTBD is an end-user programming solution that allows end-users (e.g., domain experts and non-programmers) to demonstrate how a transformation should be done on a concrete example by directly editing the source models. The MTBD engine records user operations and automatically infers and generates the executable transformation pattern that can be applied generically to any source model. MTBD has been applied to automate a number of model evolution scenarios. Users do not need to have a programming background or understand the abstract metamodel definitions.
Publications: [MODELS '09] [SoSym '13] [JSEP '13]
Time-Triggered Systems Modeling Language (TTS-ML)
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TTS-ML was designed to support the development and maintenance of distributed time-triggered communication systems used by the Siemens eCar project (i.e., the electrical vehicle research project conducted by Siemens Corporate Research). The modeling language allows for efficiently modeling physical and logical aspects of the system as well as quality of service requirements (QoS). A model completion step using scheduling and arbitration algorithms derives missing communication information. A code generation step creates target platform- and controller-specific code from the model automatically.
Publication: [ICEME '11]
UWoN (User Workflow Notation)
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UWoN is a modeling environment to model user workflow process in user interface (UI) design, which was applied to a healthcare intervention application supported by Siemens Corporate Research. The modeling environment takes the graphical workflow model as the input, generates the simulation code based on the rich and rigorous semantics of the Little-JIL process definition language, which helps UI designers to better analyze and evaluate the UI performance.
Publication: [HCS '12]
Automax
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Automax is a model-based development environment implemented to support robotics development for industrial robotics assembly lines. Automax enables a domain expert (who is not a computer scientist) to model robot action sequences with timing requirements, and automatically generate embedded robotics controlling code. This project has been conducted with Bullheller Consulting, a software firm whose core robotics software is deployed in over 2000 robots used at the Mercedes-Benz plant USA in Alabama.
Publication: [MODELS '12]
Live Model Transformation By Demonstration (Live-MTBD)
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When a large group of users are enabled to contribute to model evolution activities using MTBD, reusing model transformation patterns at the appropriate scenario becomes an essential issue to enhance knowledge reuse. Live-MTBD is an extension to the MTBD framework that contains a set of “live” features: 1) live demonstration provides a new type of demonstration approach that encourages creation of model transformation patterns; 2) live sharing makes all generated patterns available to users for reuse, and 3) live matching helps users to reuse the correct pattern at the appropriate time.
Publication: [ICMT '11]
Model Transformation By Demonstration Debugger (MTBD Debugger)
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The capability of MTBD is undermined if users cannot debug a generated transformation pattern at the same level of abstraction to which the demonstration was performed. Thus, an MTBD Debugger was developed based on the MTBD execution engine, enabling users to step through the transformation execution process and track the model’s state during a transformation. MTBD Debugger focuses on end-user friendliness, so the low-level execution information is hidden during the debugging process.
Publication: [ECMFA '13]
A Model Engineering Approach to Tool Interoperability
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The integration of various tools is a common requirement throughout the software development process. It is often desirable to consult several tools that perform similar functionalities in the same domain to obtain different perspectives and results to assist design and maintenance decisions. In many cases, tool interoperability requires the generalization of tool-specific data, which requires homogenizing the data such that intellectual assets can be shared through a common framework (e.g., the integration of results from various clone detection tools). This tool demonstration summary presents a software language engineering solution technique that uses Model-Driven Engineering to address tool interoperability. A specific focus of the project is to apply model transformation to the task of homogenizing different data formats among similar code clone detection tools.
Publication: [SLE '08]
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