Rong-Ching Chang

Rong Ching Chang is a second-year Ph.D. student in Computer Science at the University of California, Davis. Her advisors are Prof. Zubair Shafiq and Magdalena Wojcieszak. She earned her master’s degree in Computer Science from Tunghai University, Taiwan. She received her BA in Finance from Chung Yuan Christian University, Taiwan.


Rong-Ching’s research area includes auditing recommendation systems, modeling user behavior, video understanding, and classification using large language models, causal inference, graph neural networks, and multimodal inference. One of her goals in video understanding was to identify harmful TikTok challenges, inappropriate or violent videos to protect users and children. Rong Ching has a rich experience in research. She has over 10 publications from peer-reviewed conferences and journals. She was also an invited reviewer for Nature when she was a master’s student.


Publications

Radicalization of Exposure on YouTube: Algorithmic Recommendations or Off-platform Factors?

Rong-Ching Chang, Zubair Shafiq and Magdalena Wojcieszak
Under submission

Feedback Loops and the Chilling Effects in Online Discussions: The Complex Dynamics of Harmful Speech and Negative Emotions

Rong-Ching Chang, Jonathan May, Kristina Lerman
Under submission

#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy

Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman
ICWSM, 2023. https://arxiv.org/pdf/2302.01439.pdf

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit

Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman
Under submission https://arxiv.org/abs/2106.07544

Entropy-Based Time Window Features Extraction for Machine Learning to Predict Acute Kidney Injury in ICU

Chun-Te Huang, Rong-Ching Chang, Yi-Lu Tsai, Kai-Chih Pai, Tsai-Jung Wang, Chia-Tien Hsu, Cheng-Hsu Chen, Chien-Chung Huang, Min-Shian Wang, Lun-Chi Chen, Ruey-Kai Sheu, Chieh-Liang Wu, Chun-Ming Lai
Applied Sciences. 2021; 11(14):6364. https://doi.org/10.3390/app11146364

Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People’s Republic of China

Rong-Ching Chang, Chun-Ming Lai, Kai-Lai Chang, Chu-Hsing Lin
Misinformation and Misbehavior Mining on the Web with International Conference on Knowledge Discovery & Data Mining (KDD) 2021

Online Sentiment And Post Reactions On Facebook: Leading Indicator For State-Level Covid-19 Confirmed Cases

Rong-Ching Chang, Chun-Ming Lai, Chu-Hsing Lin, Kai-Chih Pai
AI for Public Health workshop at the International Conference on Learning Representations (ICLR), 2021

Online Sentiment on Facebook: a Leading Indicator for State-Level Covid-19 Confirm Cases

Rong-Ching Chang, Chu-Hsing Lin, Chun-Ming Lai, Kai-Chih Pai
International Conference On Information Technologies and Practices, 2021

Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic

Rong-Ching Chang, Chu-Hsing Lin
Cryptology and Information Security Conference (CISC), 2020.

Pandemic Response and Crisis Informatics: An Imperative for Public Health Messaging

Chun-Ming Lai, Yi-Chen Liu,Rong-Ching Chang, Jon W. Chapman and Chu-Hsing Lin
International Computer Symposium (ICS), 2020, pp. 570-575, doi: 10.1109/ICS51289.2020.00116.

Leveraging Top Participants Networks Topology to Identify Suspiciously Manipulated Posts

Chun-Ming Lai, Huan-Chieh Tseng, Rong-Ching Chang, Tzer-Shyong Chen, Kai-Chih Pai
National Conference on Science and Technology of National Defense. 2020.

An Attribute-based Encryption for Cloud Medical Data Sharing and Its Implementation

Chu-Hsing Lin, Chu-I Wu, Chia-Yuan Cheng, Rong-Ching Chang
The Symposium on Digital Life Technologies 2020 (DLT 2020).

Unconnected searchable encryption and implementation for cloud medical record services

Chu-Hsing Lin, Yuan-Xiang Chi, Xuan-Jie Wang, Rong-Ching Chang
The Symposium on Digital Life Technologies 2020 (DLT 2020).

Education

University of California, Davis, CA, US

Ph.D in Computer Science
Advisor: Prof. Zubair Shafiq, and Magdalena Wojcieszak
Sep 2021 - Present

Tunghai University, Taiwan

M.Sc. in Computer Science
Advisor: Prof. Chu-Hsing Lin

GPA: 3.98/4.30

Sep 2019 - June 2021

Chung Yuan Christian University, Taiwan

B.A., in Finance
Advisor: Prof. Yi-Pei Chen

GPA: 3.88/4.00

Sep 2014 - June 2017

Middle Tennessee State University, TN, US

International Exchange Program

GPA: 3.63/4.00

Sep 2015 - June 2016

Experience

Information Sciences Institute, University of Southern California

AI Research Intern

Multilingual misogyny detection. Userbehavior in toxic comment and discussion modeling.

Jan 2022 - Sep 2022

Industrial Technology Research Institute, Taiwan

AI Research Intern, Computational Intelligence Technology

Researched and tested papers focused on AutoML frameworks, automatic forecasting of time series, global supply chain management, inventory management

Tested AutoML packages including AutoKeras, Hyperas with docker, GPU, Tensorflow and Pytorch on various tasks.

Jan 2020 - Aug 2020

Doctor Diet Inc., TN, US

Finance Manager Intern

Developed semi-automated system for daily sales statements, cash flow tracking for 14 clinics

May 2016 - Sep 2016