Rong Jin

According to our database, Rong Jin authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Greedy Monitoring Station Selection for Rumor Source Detection in Online Social Networks.

Rong Jin, Priyanshi Garg, Weili Wu, Qiufen Ni, Rosanna E. Guadagno

IEEE Trans. Comput. Soc. Syst., April, 2024

2023

Graph Neural Network based Approach for Rumor Detection on Social Networks.

Daniel Hosseini, Rong Jin

Proceedings of the International Conference on Smart Applications, 2023

A Study of Human Fitness Pose Classification Using Artificial Neural Networks.

Sijie Shang, Rong Jin, Kevin Desai

Proceedings of the International Conference on Information Technology, 2023

Using Reinforcement Learning to Train Generative Adversarial Networks for Image Generation.

Austin Nguyen, Rong Jin

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Exploring Machine Learning Techniques for Fall Risk Prediction using the Berg Balance Scale.

Christopher Ta, Rong Jin

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

A Machine Learning-based pH Color Recognition for Monitoring Chronic Kidney Disease.

Michael Lum, Rong Jin

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection Under Multiple Observations in Social Networks.

Xihao Wu, Hui Chen, Rong Jin, Qiufen Ni

Proceedings of the Wireless Internet - 15th EAI International Conference, 2022

2021

Novel algorithms for maximum DS decomposition.

Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin

Theor. Comput. Sci., 2021

Discount allocation for cost minimization in online social networks.

Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, Rong Jin

J. Comb. Optim., 2021

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, Weili Wu

Discret. Math. Algorithms Appl., 2021

2019

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, Ngoc Tran, Erik Omogbehin, Aditya Prakash, Priyanka Awaraddi, Baily Hale, Ken Suura, Aniket Raj, James Stanfield, Henry Vo

Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2019

2018

LearnDNA: an interactive VR application for learning DNA structure.

Lakshmi Sharma, Rong Jin, Balakrishnan Prabhakaran, Murry Gans

Proceedings of the 3rd International Workshop on Interactive and Spatial Computing, 2018

2017

QoE Studies on Interactive 3D Tele-Immersion.

Kevin Desai, Suraj Raghuraman, Rong Jin, Balakrishnan Prabhakaran

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL).

Kevin Desai, Uriel Haile Hernández Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Víctor Ayala-Ramírez, Vinu Johnson, Murry Gans

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017