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ORCIDRong Jin 0003
Person information
- affiliation: California State University, Fullerton, CA, USA
- affiliation (former): University of Texas at Dallas, Department of Computer Science, Dallas, TX, USA
Other persons with the same name
- Rong Jin — disambiguation page
- Rong Jin 0001
![[0000-0002-8797-4646]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8797-4646")
— Alibaba Group, Machine Intelligence Technology, Bellevue, WA, USA (and 2 more) - Rong Jin 0002 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Science and Technology on Multi-Spectral Information Processing Laboratory, Wuhan, China (and 1 more)
- Rong Jin 0004 — Indiana University Bloomington, School of Informatics and Computing, Bloomington, IN, USA
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Journal Articles
- 2024
[j4]Rong Jin, Priyanshi Garg, Weili Wu, Qiufen Ni, Rosanna E. Guadagno:
A Greedy Monitoring Station Selection for Rumor Source Detection in Online Social Networks. IEEE Trans. Comput. Soc. Syst. 11(2): 2644-2655 (2024)- 2021
- [j3]Rong Jin, Weili Wu:
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. 13(4): 2130002:1-2130002:12 (2021) - [j2]Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, Rong Jin:
Discount allocation for cost minimization in online social networks. J. Comb. Optim. 41(1): 213-233 (2021) - [j1]Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin:
Novel algorithms for maximum DS decomposition. Theor. Comput. Sci. 857: 87-96 (2021)
Conference and Workshop Papers
- 2023
- [c11]Michael Lum, Rong Jin:
A Machine Learning-based pH Color Recognition for Monitoring Chronic Kidney Disease. AIIoT 2023: 77-82 - [c10]Christopher Ta, Rong Jin:
Exploring Machine Learning Techniques for Fall Risk Prediction using the Berg Balance Scale. AIIoT 2023: 273-277 - [c9]Austin Nguyen, Rong Jin:
Using Reinforcement Learning to Train Generative Adversarial Networks for Image Generation. CCWC 2023: 160-167 - [c8]Sijie Shang, Rong Jin, Kevin Desai:
A Study of Human Fitness Pose Classification Using Artificial Neural Networks. ICIT 2023: 250-255 - [c7]Daniel Hosseini, Rong Jin:
Graph Neural Network based Approach for Rumor Detection on Social Networks. SmartNets 2023: 1-6 - 2022
- [c6]Xihao Wu, Hui Chen, Rong Jin, Qiufen Ni:
Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection Under Multiple Observations in Social Networks. WiCON 2022: 201-212 - 2020
- [c5]Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin:
Novel Algorithms for Maximum DS Decomposition. COCOA 2020: 624-638 - 2019
- [c4]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:
Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines. SIGSIM-PADS 2019: 127-136 - 2018
- [c3]Lakshmi Sharma, Rong Jin, Balakrishnan Prabhakaran, Murry Gans:
LearnDNA: an interactive VR application for learning DNA structure. IWISC 2018: 80-87 - 2017
- [c2]Kevin Desai, Uriel Haile Hernández Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Víctor Ayala-Ramírez, Vinu Johnson, Murry Gans:
Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL). BigMM 2017: 376-383 - [c1]Kevin Desai, Suraj Raghuraman, Rong Jin, Balakrishnan Prabhakaran:
QoE Studies on Interactive 3D Tele-Immersion. ISM 2017: 130-137
Informal and Other Publications
- 2021
- [i1]Rong Jin, Weili Wu:
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research. CoRR abs/2101.00753 (2021)
Coauthor Index
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