• Book Chapters
[1] Black Box and Data-Driven Computation
Rong Jin, Weili Wu, My T. Thai, and Ding-Zhu Du. in Book Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, Springer, Cham.
• Refereed Journal Papers
[5] A Greedy Monitoring Station Selection for Rumor Source Detection in Online Social Networks
Rong Jin, Priyanshi Garg, Weili Wu, Qiufen Ni, and Rosanna Guadagno. IEEE Transactions on Computational Social Systems (TCSS), 2023.(IF = 5.48)
[4] A Usability Study of Classical Mechanics Education based on Hybrid Modeling
Rosanna E. Guadagno, Virgilio Gonzenbach, Haley Puddy, Paul Fishwick, Midori Kitagawa, Mary Urquhart, Michael Kesden, Ken Suura, Bailey Hale, Cenk Koknar, Ngoc Tran, Rong Jin, Aniket Raj. On Special Issue “Modelling and Simulation of Human-Environment Interactions” of Sustainability (Sustainability), 2021.(IF = 4.39)
[3] Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
Rong Jin, and Weili Wu. Discrete Mathematics, Algorithms and Applications (DMAA), 2021.
[2] Novel algorithms for maximum DS decomposition
Shengminjie Chen, Wenguo Yang, Suixiang Gao, and Rong Jin. Theoretical Computer Science (TCS), 2020.
[1] Discount allocation for cost minimization in online social networks
Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, and Rong Jin. Journal of Combinatorial Optimization (JOCO), 2020.
• Refereed Conference Papers
[14] A Safe Place to Learn: Virtual Reality Training for Excavator Operations
Keith Sun, Kenny Lu, Rong Jin, and Deepak Sharma. The 24th International Conference on Construction Applications of Virtual Reality (CONVR), November 4-6, Sydney, Australia, 2024.
[13] The Development of a Gamified Interactive and Immersive Virtual Environment for Neuromonics Tinnitus
Albert Truong*, and Rong Jin. International Conference on Creative Multimedia, Virtual, July 23-25, 2024.
[12] Artificial Intelligence and Simulated Virtual Models in Teaching Construction Courses
Deepak Sharma, Rakeshkumar Mahto, Qice Sun*, Rong Jin, and Mansi Rastogi. ASCE Construction Institute (CI) \& Construction Research Congress(CRC) Joint Conference, Des Moines, March 20-23, 2024.
[11] A Study of Human Fitness Pose Classification Using Artificial Neural Networks
Sijie Shang*, and Rong Jin. IEEE 11th International Conference on Information Technology (ICIT), Amman, Jordan, August 8-9, 2023.
[10] Graph Neural Network Based Approach for Rumor Detection on Social Networks
Daniel Hosseini*, and Rong Jin. IEEE International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, Turkey, July 25-27, 2023.
[9] Exploring Machine Learning Techniques for Fall Risk Prediction Using the Berg Balance Scale
Christopher Ta*, and Rong Jin. 2023 IEEE World AI IoT Congress (AIIoT), virtual, June 7-10, 2023. (AR = 39%)(Best Paper Award)
[8] A Machine Learning-Based pH Color Recognition for Monitoring Chronic Kidney Disease
Michael Lum*, and Rong Jin. 2023 IEEE World AI IoT Congress (AIIoT), virtual, June 7-10, 2023.
[7] Using Reinforcement Learning to Train Generative Adversarial Networks for Image Generation
Austin Nguyen* and Rong Jin. 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), virtual, March 8-11, 2023. (AR = 40.2%)(Best Paper Award)
[6] Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection under Multiple Observations in Social Networks
Xihao Wu, Hui Chen, Rong Jin, and Qiufen Ni. The 15th EAI International Wireless Internet Conference (WiCON), virtual, November 17, 2022. (AR = 35.5%)
[5] Novel algorithms for maximum DS decomposition
Shengminjie Chen, Wenguo Yang, Suixiang Gao, and Rong Jin. The 14th Annual International Conference on Combinatorial Optimization and Applications (COCOA), Dallas, Texas, USA, December 11-13, 2020. (AR = 52.8%)(invited to submit to the journal TCS)
[4] Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines
Midori Kitagawa, Paul Fishwick, Michael Kesden, Mary Urquhart, Rosanna Guadagno, Rong Jin, Ngoc Tran, Erik Omogbehin, Aditya Prakash, Priyanka Awaraddi, Baily Hale, Ken Suura, Aniket Raj, James Stanfield, and Henry Vo. Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), Chicago, Illinois, USA, June 3-5, 2019. (AR = 45%)
[3] LearnDNA: An Interactive VR Application for Learning DNA Structure
Lakshmi Sharma*, Rong Jin, Balakrishnan Prabhakaran, and Murry Gans. Proceedings of the ACM 3rd International Workshop on Interactive and Spatial Computing (IWISC), Richardson, Texas, USA, April 12-13, 2018. (AR = 60%)
[2] QoE Studies on Interactive 3D Tele-Immersion
Kevin Desai, Suraj Raghuraman, Rong Jin, and Balakrishnan Prabhakaran. 2017 IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan, December 11-13, 2017.(AR = 23%)
[1] Experiences with Multi-Modal Collaborative Virtual Laboratory (MMCVL)
Kevin Desai, Uriel Haile Hernndez Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Victor Ayala Ramirez, Vinu Johnson, and Murry Gans. 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), Laguna Hills, California, USA, April 19-21, 2017.(AR = 23.9%)
• Research Project Presentations (Poster & Abstract)
[4] Development of Scaffolded Virtual Training Environment for Excavator Operations
Qice Sun*, and Rong Jin, a poster at Summer Undergraduate Research Academy (SUReA), CSUF, CA, August 4, 2023.
[3] Exploring the Solar System in a Virtual Environment
Emmanuel Salcedo*, and Rong Jin, a poster at Summer Undergraduate Research Academy (SUReA), CSUF, CA, August 4, 2023.
[2] Towards Collaborative Learning Environment in Augmented Reality (AR) - An AR Study Room Application
Emmanuel Salcedo, Arturo Salazar, Tai Nguyen*, and Rong Jin, a refereed poster at Southern California Conferences for Undergraduate Research (SCCUR), Pepperdine University, CA, November 19, 2022.
[1] Virtual Interaction with Gravitational Waves to Observe Relativity (VIGOR)
Michael Kesden, Midori Kitagawa, Mary Urquhart, Roger Malina, Thulasi Pillai, Monisha Elumalai, Ngoc Tran, and Rong Jin, Bulletin of the American Physical Society, Volume 67(6), Pages Z06.003, New York, NY, April 9-12, 2022.
* indicates my supervised undergraduate/graduate students co-authors.
IF = Impact Factor of the year published in a journal when known.
AR = Acceptance Rate of the year published in a conference when known from the conference.
Misc
My Erdös Number is 3: Weili Wu - Ronald L. Graham - Paul Erdös