Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora. - Jessica Ouyang 001; Serina Chang; Kathy McKeown (EACL (2), 2017)

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 (EMNLP, 2018)

Automatically Inferring Gender Associations from Language. - Serina Chang; Kathy McKeown (EMNLP/IJCNLP (1), 2019)

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 (KDD, 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)

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 (AAAI, 2022)

To Recommend or Not? A Model-Based Comparison of Item-Matching Processes. - Serina Chang; Johan Ugander (ICWSM, 2022)

Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. - Serina Chang; Damir Vrabac; Jure Leskovec; Johan Ugander (AAAI, 2023)

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). - Amulya Yadav; Aparna Taneja; Ayan Mukhopadhyay; Serina Chang (KDD, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 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 symposium 2023 - Findings track. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Mercy Nyamewaa Asiedu; Serina Chang; Thomas Hartvigsen; Harvineet Singh (CoRR, 2023)

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. - Serina Chang; Frederic Koehler; Zhaonan Qu; Jure Leskovec; Johan Ugander (ICML, 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 071; Serina Chang; Anil Vullikanti; B. Aditya Prakash (KDD, 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)

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 (AAAI, 2025)

ChatBench: From Static Benchmarks to Human-AI Evaluation. - Serina Chang; Ashton Anderson; Jake M. Hofman (ACL (1), 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 (ACL (1), 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; et al. (CHI Extended Abstracts, 2025)

LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily. - Serina Chang; Alicja Chaszczewicz; Emma Wang; Maya Josifovska; Emma Pierson; Jure Leskovec (ICWSM, 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; et al. (Nat., 2025)