Rong Jin

17 papers C 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Framework Designed with Perceptual Symmetry and Interactive Asymmetry for XR Collaboration.
Symmetry
Gustavo Adolfo Murillo Gutierrez, Rong Jin, Juan-Pablo Ramirez-Paredes, Uriel Haile Hernández Belmonte
2024 J jnl
A Greedy Monitoring Station Selection for Rumor Source Detection in Online Social Networks.
IEEE Trans. Comput. Soc. Syst.
Rong Jin, Priyanshi Garg, Weili Wu, Qiufen Ni, Rosanna E. Guadagno
2023 — conf
A Machine Learning-based pH Color Recognition for Monitoring Chronic Kidney Disease.
AIIoT
Michael Lum, Rong Jin
2023 — conf
A Study of Human Fitness Pose Classification Using Artificial Neural Networks.
ICIT
Sijie Shang, Rong Jin, Kevin Desai
2023 — conf
Exploring Machine Learning Techniques for Fall Risk Prediction using the Berg Balance Scale.
AIIoT
Christopher Ta, Rong Jin
2023 — conf
Graph Neural Network based Approach for Rumor Detection on Social Networks.
SmartNets
Daniel Hosseini, Rong Jin
2023 — conf
Using Reinforcement Learning to Train Generative Adversarial Networks for Image Generation.
CCWC
Austin Nguyen, Rong Jin
2022 — conf
Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection Under Multiple Observations in Social Networks.
WiCON
Xihao Wu, Hui Chen, Rong Jin, Qiufen Ni
2021 J jnl
Discount allocation for cost minimization in online social networks.
J. Comb. Optim.
Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, Rong Jin
2021 J jnl
Novel algorithms for maximum DS decomposition.
Theor. Comput. Sci.
Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin
2021 J jnl
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research.
CoRR
Rong Jin, Weili Wu
2021 J jnl
Schemes of propagation models and source estimators for rumor source detection in online social networks: A short survey of a decade of research.
Discret. Math. Algorithms Appl.
Rong Jin, Weili Wu
2020 C conf
Novel Algorithms for Maximum DS Decomposition.
COCOA
Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin
2019 — conf
Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines.
SIGSIM-PADS
Midori Kitagawa, Paul A. Fishwick, Michael Kesden, Mary Urquhart, Rosanna E. Guadagno, Rong Jin, Ngoc Tran, Erik Omogbehin, Aditya Prakash, Priyanka Awaraddi, Baily Hale, Ken Suura, Aniket Raj, James Stanfield, Henry Vo
2018 — conf
LearnDNA: an interactive VR application for learning DNA structure.
IWISC
Lakshmi Sharma, Rong Jin, Balakrishnan Prabhakaran, Murry Gans
2017 — conf
Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL).
BigMM
Kevin Desai, Uriel Haile Hernández Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Víctor Ayala-Ramírez, Vinu Johnson, Murry Gans
2017 C conf
QoE Studies on Interactive 3D Tele-Immersion.
ISM
Kevin Desai, Suraj Raghuraman, Rong Jin, Balakrishnan Prabhakaran