Serina Chang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Generalized Belief Propagation

Data Mining And Knowledge Discovery

Topic Segmentation

International Workshop

Top Venues

Publications

Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. CoRR (2024)
Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2024)
Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Alex Luo, Raj Palleti, Jure Leskovec
Learning production functions for supply chains with graph neural networks. CoRR (2024)
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 Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS (2023)
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh
Machine Learning for Health symposium 2023 - Findings track. CoRR (2023)
Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD (2023)
Serina Chang, Adam Fourney, Eric Horvitz
Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs. CoRR (2023)
Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. AAAI (2023)
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
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI (2022)
Serina Chang, Johan Ugander
To Recommend or Not? A Model-Based Comparison of Item-Matching Processes. ICWSM (2022)
Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. CoRR (2022)
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 Marathe, Jure Leskovec
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD (2021)
Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec
Mobility network models of COVID-19 explain inequities and inform reopening. Nat. 589 (7840) (2021)
Serina Chang, Johan Ugander
To Recommend or Not? A Model-Based Comparison of Item-Matching Processes. CoRR (2021)
Serina Chang, Kathy McKeown
Automatically Inferring Gender Associations from Language. EMNLP/IJCNLP (1) (2019)
Serina Chang, Kathleen R. McKeown
Automatically Inferring Gender Associations from Language. CoRR (2019)
Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown
Detecting Gang-Involved Escalation on Social Media Using Context. CoRR (2018)
Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown
Detecting Gang-Involved Escalation on Social Media Using Context. EMNLP (2018)
Jessica Ouyang, Serina Chang, Kathy McKeown
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora. EACL (2) (2017)