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2020 – today
- 2024
[c11]Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. ICML 2024- [c10]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: 6735-6736 - [i9]Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. CoRR abs/2402.18697 (2024) - [i8]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 abs/2407.18772 (2024) - [i7]Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec:
LLMs generate structurally realistic social networks but overestimate political homophily. CoRR abs/2408.16629 (2024) - 2023
- [c9]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. AAAI 2023: 14161-14169 - [c8]Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang:
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD 2023: 5895-5896 - [c7]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: 1-12 - [e1]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh:
Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 225, PMLR 2023 [contents] - [i6]Serina Chang, Adam Fourney, Eric Horvitz:
Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs. CoRR abs/2306.07457 (2023) - [i5]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 abs/2312.00655 (2023) - 2022
- [c6]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: 12573-12579 - [c5]Serina Chang, Johan Ugander:
To Recommend or Not? A Model-Based Comparison of Item-Matching Processes. ICWSM 2022: 55-66 - [i4]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. CoRR abs/2212.06224 (2022) - 2021
- [j1]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): 82-87 (2021) - [c4]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:
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD 2021: 2632-2642 - [i3]Serina Chang, Johan Ugander:
To Recommend or Not? A Model-Based Comparison of Item-Matching Processes. CoRR abs/2110.11468 (2021)
2010 – 2019
- 2019
- [c3]Serina Chang, Kathy McKeown:
Automatically Inferring Gender Associations from Language. EMNLP/IJCNLP (1) 2019: 5745-5751 - [i2]Serina Chang, Kathleen R. McKeown:
Automatically Inferring Gender Associations from Language. CoRR abs/1909.00091 (2019) - 2018
- [c2]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: 46-56 - [i1]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 abs/1809.03632 (2018) - 2017
- [c1]Jessica Ouyang, Serina Chang, Kathy McKeown:
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora. EACL (2) 2017: 46-51
Coauthor Index
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last updated on 2024-09-30 00:57 CEST by the dblp team
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