Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL). - Kevin Desai; Uriel Haile Hernández Belmonte; Rong Jin 003; Balakrishnan Prabhakaran 001; Paul Diehl; Víctor Ayala-Ramírez; Vinu Johnson; Murry Gans (BigMM, 2017)

QoE Studies on Interactive 3D Tele-Immersion. - Kevin Desai; Suraj Raghuraman; Rong Jin 003; Balakrishnan Prabhakaran 001 (ISM, 2017)

LearnDNA: an interactive VR application for learning DNA structure. - Lakshmi Sharma; Rong Jin 003; Balakrishnan Prabhakaran 001; Murry Gans (IWISC, 2018)

Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines. - Midori Kitagawa; Paul A. Fishwick; Michael Kesden; Mary Urquhart; Rosanna E. Guadagno; Rong Jin 003; Ngoc Tran; Erik Omogbehin; Aditya Prakash 007; Priyanka Awaraddi; Baily Hale; Ken Suura; et al. (SIGSIM-PADS, 2019)

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 003; Weili Wu 001 (Discret. Math. Algorithms Appl., 2021)

Discount allocation for cost minimization in online social networks. - Qiufen Ni; Smita Ghosh; Chuanhe Huang; Weili Wu 001; Rong Jin 003 (J. Comb. Optim., 2021)

Novel algorithms for maximum DS decomposition. - Shengminjie Chen; Wenguo Yang; Suixiang Gao; Rong Jin 003 (Theor. Comput. Sci., 2021)

Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection Under Multiple Observations in Social Networks. - Xihao Wu; Hui Chen; Rong Jin 003; Qiufen Ni (WiCON, 2022)

A Machine Learning-based pH Color Recognition for Monitoring Chronic Kidney Disease. - Michael Lum; Rong Jin 003 (AIIoT, 2023)

Exploring Machine Learning Techniques for Fall Risk Prediction using the Berg Balance Scale. - Christopher Ta; Rong Jin 003 (AIIoT, 2023)

Using Reinforcement Learning to Train Generative Adversarial Networks for Image Generation. - Austin Nguyen; Rong Jin 003 (CCWC, 2023)

A Study of Human Fitness Pose Classification Using Artificial Neural Networks. - Sijie Shang; Rong Jin 003; Kevin Desai (ICIT, 2023)

Graph Neural Network based Approach for Rumor Detection on Social Networks. - Daniel Hosseini; Rong Jin 003 (SmartNets, 2023)

A Greedy Monitoring Station Selection for Rumor Source Detection in Online Social Networks. - Rong Jin 003; Priyanshi Garg; Weili Wu 001; Qiufen Ni; Rosanna E. Guadagno (IEEE Trans. Comput. Soc. Syst., 2024)