Mobility network models of COVID-19 explain inequities and inform reopening S Chang, E Pierson, PW Koh, J Gerardin, B Redbird, D Grusky, ... Nature 589 (7840), 82-87, 2021 | 1629 | 2021 |
Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration D Card, S Chang, C Becker, J Mendelsohn, R Voigt, L Boustan, ... Proceedings of the National Academy of Sciences 119 (31), e2120510119, 2022 | 98 | 2022 |
Supporting covid-19 policy response with large-scale mobility-based modeling S Chang, ML Wilson, B Lewis, Z Mehrab, KK Dudakiya, E Pierson, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 48 | 2021 |
Crowd-sourced iterative annotation for narrative summarization corpora J Ouyang, S Chang, K McKeown Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 28 | 2017 |
Detecting gang-involved escalation on social media using context S Chang, R Zhong, E Adams, FT Lee, S Varia, D Patton, W Frey, C Kedzie, ... arXiv preprint arXiv:1809.03632, 2018 | 20 | 2018 |
Data-driven real-time strategic placement of mobile vaccine distribution sites Z Mehrab, ML Wilson, S Chang, G Harrison, B Lewis, A Telionis, J Crow, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12573 …, 2022 | 14 | 2022 |
Automatically inferring gender associations from language S Chang, K McKeown arXiv preprint arXiv:1909.00091, 2019 | 12 | 2019 |
Estimating geographic spillover effects of COVID-19 policies from large-scale mobility networks S Chang, D Vrabac, J Leskovec, J Ugander Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14161 …, 2023 | 11 | 2023 |
Epidemic dynamics in inhomogeneous populations and the role of superspreaders K Kawagoe, M Rychnovsky, S Chang, G Huber, LM Li, J Miller, R Pnini, ... Physical Review Research 3 (3), 033283, 2021 | 11 | 2021 |
To recommend or not? a model-based comparison of item-matching processes S Chang, J Ugander Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 5 | 2022 |
Measuring vaccination coverage and concerns of vaccine holdouts from web search logs S Chang, A Fourney, E Horvitz Nature Communications 15 (1), 6496, 2024 | 4* | 2024 |
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting S Chang, F Koehler, Z Qu, J Leskovec, J Ugander arXiv preprint arXiv:2402.18697, 2024 | 4* | 2024 |
LLMs generate structurally realistic social networks but overestimate political homophily S Chang, A Chaszczewicz, E Wang, M Josifovska, E Pierson, J Leskovec arXiv preprint arXiv:2408.16629, 2024 | 1 | 2024 |
Learning production functions for supply chains with graph neural networks S Chang, Z Lin, B Yan, S Bembde, Q Xiu, CH Wong, Y Qin, F Kloster, ... arXiv preprint arXiv:2407.18772, 2024 | 1 | 2024 |
Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | 1 | 2023 |
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery A Rodríguez, B Adhikari, A Srivastava, S Pei, ML Charpignon, K Wang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
Computational Methods for Human Networks and High-Stakes Decisions SY Chang Stanford University, 2024 | | 2024 |
Machine Learning for Health symposium 2023--Findings track S Hegselmann, A Parziale, D Shanmugam, S Tang, MN Asiedu, S Chang, ... arXiv preprint arXiv:2312.00655, 2023 | | 2023 |
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23) A Yadav, A Taneja, A Mukhopadhyay, S Chang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
Proceedings of the 3rd Machine Learning for Health Symposium S Hegselmann, A Parziale, D Shanmugam, S Tang, MN Asiedu, S Chang, ... PROCEEDINGS OF MACHINE LEARNING RESEARCH 225, 1-676, 2023 | | 2023 |