Serina Chang

According to our database, Serina Chang authored at least 21 papers between 2017 and 2025.

Collaborative distances:

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

2025

Artificial intelligence for modelling infectious disease epidemics.

Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt

Nat., February, 2025

LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily.

Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Human Subjects Research in the Age of Generative AI: Opportunities and Challenges of Applying LLM-Simulated Data to HCI Studies.

Angel Hsing-Chi Hwang, Michael S. Bernstein, S. Shyam Sundar, Renwen Zhang, Manoel Horta Ribeiro, Yingdan Lu, Serina Chang, Tongshuang Wu, Aimei Yang, Dmitri Williams, Joon Sung Park, Katherine Ognyanova, Ziang Xiao, Aaron Shaw, David A. Shamma

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions.

Joseph Suh, Erfan Jahanparast, Suhong Moon, Minwoo Kang, Serina Chang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ChatBench: From Static Benchmarks to Human-AI Evaluation.

Serina Chang, Ashton Anderson, Jake M. Hofman

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Learning Production Functions for Supply Chains with Graph Neural Networks.

Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Xi Luo, Raj Palleti, Jure Leskovec

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Learning production functions for supply chains with graph neural networks.

Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Alex Luo, Raj Palleti, Jure Leskovec

CoRR, 2024

epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting.

Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Machine Learning for Health symposium 2023 - Findings track.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh

CoRR, 2023

Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs.

Serina Chang, Adam Fourney, Eric Horvitz

CoRR, 2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23).

Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks.

Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

To Recommend or Not? A Model-Based Comparison of Item-Matching Processes.

Serina Chang, Johan Ugander

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites.

Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Mobility network models of COVID-19 explain inequities and inform reopening.

Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec

Nat., 2021

Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling.

Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Automatically Inferring Gender Associations from Language.

Serina Chang, Kathy McKeown

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Detecting Gang-Involved Escalation on Social Media Using Context.

Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora.

Jessica Ouyang, Serina Chang, Kathy McKeown

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017