Publications
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization [PDF] [PDF] 2023
  • Raul Astudillo,
  • Zhiyuan Jerry Lin,
  • Eytan Bakshy,
  • Peter I. Frazier
Conference, AISTATS 2023.
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes [PDF] [PDF] 2022
  • Zhiyuan Jerry Lin,
  • Raul Astudillo,
  • Peter I. Frazier,
  • Eytan Bakshy
Conference, AISTATS 2022.
Probability Paths and the Structure of Predictions over Time [PDF] [PDF] 2021
  • Zhiyuan Jerry Lin,
  • Hao Sheng,
  • Sharad Goel
Conference, NeurIPS 2021.
Blind Justice: Algorithmically Masking Race in Charging Decisions [PDF] [PDF] 2021
  • Alex Chohlas-Wood,
  • Joe Nudell,
  • Keniel Yao,
  • Zhiyuan (Jerry) Lin,
  • Julian Nyarko,
  • Sharad Goel
Conference, AAAI/ACM AIES 2021. May 19, 2021 - May 21, 2021.
Bandit Algorithms to Personalize Educational Chatbots [PDF] [PDF] 2021
  • William Cai,
  • Joshua Grossman,
  • Zhiyuan (Jerry) Lin,
  • Hao Sheng,
  • Johnny Tian-Zheng Wei,
  • Joseph Jay Williams,
  • Sharad Goel
Journal, Machine Learning, 2021.
Interactive Preference Learning For Multi-Objective Bayesian Optimization in Online Experiments 2020
  • Zhiyuan Lin,
  • Eytan Bakshy
Work-in-progress Extended Abstract, CODE 2020. November 19, 2020 - November 20, 2020.
Preference Learning for Real-World Multi-Objective Decision Making [PDF] [PDF] 2020
  • Zhiyuan (Jerry) Lin,
  • Adam Obeng,
  • Eytan Bakshy
Conference Workshop, RealML @ ICML 2020. July 18, 2020 - July 18, 2020.
The Limits of Human Predictions of Recidivism [PDF] [PDF] 2020
  • Zhiyuan (Jerry) Lin,
  • Jongbin Jung,
  • Sharad Goel,
  • Jennifer Skeem
Journal, Science Advances, 2020, vol. 6, no. 7.
Preference Learning for Multi-Objective Decision Making in Online Experiments 2019
  • Zhiyuan Lin,
  • Adam Obeng,
  • Eytan Bakshy
Work-in-progress Extended Abstract, CODE 2019. November 1, 2019 - November 2, 2019. Boston, MA, USA.
Guiding Prosecutorial Decisions with an Interpretable Statistical Model [PDF] [PDF] 2019
  • Zhiyuan Lin,
  • Alex Chohlas-Wood,
  • Sharad Goel
Conference, AAAI/ACM AIES 2019. January 27, 2019 - January 28, 2019. Honolulu, Hawaii, USA.
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application [PDF] [PDF] 2018
  • Zhiyuan Lin,
  • Tim Althoff,
  • Jure Leskovec
Conference, WWW 2018. April 23, 2018 - April 27, 2018. Lyon, France.
Better When It Was Smaller? Community Content and Behavior After Massive Growth [PDF] [PDF] 2017
  • Zhiyuan Lin,
  • Niloufar Salehi,
  • Bowen Yao,
  • Yiqi Chen,
  • Michael Bernstein
Conference, AAAI ICWSM 2017. May 15, 2017 - May 18, 2017. Montreal, Canada.
FACETS: Adaptive Local Exploration of Large Graphs [PDF] [PDF] 2017
  • Robert Pienta,
  • Minsuk Kahng,
  • Zhiyuan Lin,
  • Jilles Vreeken,
  • Partha Talukdar,
  • James Abello,
  • Ganesh Parameswaran,
  • Duen Horng Chau
Conference, SIAM SDM 2017. April 27, 2017 - April 29, 2017. Houston, Texas, USA.
"This Post Will Just Get Taken Down": Characterizing Removed Pro-Eating Disorder Social Media Content [PDF] [PDF] 2016
  • Stevie Chancellor,
  • Zhiyuan (Jerry) Lin,
  • Munmun De Choudhury
Conference Note, ACM CHI 2016. May 7, 2016 - May 12, 2016. San Jose, California, USA.
Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities [Honorable Mention] [PDF] [PDF] 2016
  • Stevie Chancellor,
  • Zhiyuan (Jerry) Lin,
  • Erica Goodman,
  • Stephanie Zerwas,
  • Munmun De Choudhury
Conference, ACM CSCW 2016. February 27, 2016 - March 2, 2016. San Francisco, California, USA.
AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs [PDF] [PDF] 2015
  • Robert Pienta,
  • Zhiyuan Lin,
  • Minsuk Kahng,
  • Jilles Vreeken,
  • Partha P. Talukdar,
  • James Abello,
  • Ganesh Parameswaran,
  • Duen Horng (Polo) Chau
Poster Abstract, IEEE VIS 2015. October 25, 2015 - October 30, 2015. Chicago, Illinois, USA.
Algorithmically Bypassing Censorship on Sina Weibo with Nondeterministic Homophone Substitutions [PDF] [PDF] 2015
  • Chaya Hiruncharoenvate,
  • Zhiyuan Lin,
  • Eric Gilbert
Conference, AAAI ICWSM 2015. May 26, 2015 - May 29, 2015. Oxford, UK.
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration [PDF] [PDF] 2014
  • Charles D. Stolper,
  • Minsuk Kahng,
  • Zhiyuan Lin,
  • Florian Foerster,
  • Aakash Goel,
  • John Stasko,
  • Duen Horng Chau
Conference, IEEE InfoVis 2014. November 9, 2014 - November 14, 2014. Paris, France.
Journal, IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 12, pp. 2320–2328. December 2014
Towards Scalable Graph Computation on Mobile Devices [PDF] [PDF] 2014
  • Yiqi Chen,
  • Zhiyuan Lin,
  • Robert Pienta,
  • Minsuk Kahng,
  • Duen Horng Chau
Workshop, IEEE BigData'14 Scalable Machine Learning: Theory and Applications. October 27, 2014 - October 30, 2014. Washington DC, USA.
MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mapping [PDF] [PDF] 2014
  • Zhiyuan Lin,
  • Minsuk Kahng,
  • Kaeser Md. Sabrin,
  • Duen Horng Chau,
  • Ho Lee,
  • U Kang
Conference, IEEE BigData 2014. October 27, 2014 - October 30, 2014. Washington DC, USA.
GLOs: Graph-Level Operations for Exploratory Network Visualization [PDF] [PDF] 2014
  • Charles D. Stolper,
  • Florian Foerster,
  • Minsuk Kahng,
  • Zhiyuan Lin,
  • Aakash Goel,
  • John Stasko,
  • Duen Horng Chau
Work-In-Progress Poster, CHI 2014. April 26, 2014 - May 1, 2014. Toronto, Canada.
Demonstrating Interactive Multi-resolution Large Graph Exploration [PDF] [PDF] 2013
  • Zhiyuan Lin,
  • Nan Cao,
  • Hanghang Tong,
  • Fei Wang,
  • U Kang,
  • Duen Horng Chau
Demo, ICDM 2013. December 7, 2013 - December 10, 2013. Dallas, Texas, USA.
Interactive Multi-resolution Exploration of Million Node Graphs [PDF] [PDF] 2013
  • Zhiyuan Lin,
  • Nan Cao,
  • Hanghang Tong,
  • Fei Wang,
  • U Kang,
  • Duen Horng Chau
Poster Abstract, IEEE VIS 2013. October 13, 2013 - October 18, 2013. Atlanta, Georgia, USA.
Leveraging Memory Mapping for Fast and Scalable Graph Computation on a PC [PDF] [PDF] 2013
  • Zhiyuan Lin,
  • Duen Horng Chau,
  • U Kang
Workshop, IEEE BigData'13 Scalable Machine Learning: Theory and Applications. October 9, 2013 - October 6, 2013. Santa Clara, California, USA.
Scalable, Minimalist Graph Computation on a PC via Memory Mapping 2013
  • Zhiyuan Lin,
  • Duen Horng Chau,
  • U Kang
Workshop, Workshop on Information in Networks (WIN 2013). October 4, 2013 - October 5, 2013. New York, New York, USA.
Non-Academic Publications
In the U.S. criminal justice system, algorithms help officials make better decisions, our research finds 2020
  • Zhiyuan (Jerry) Lin,
  • Jongbin Jung,
  • Sharad Goel,
  • Jennifer Skeem
Washington Post. March 2, 2020
The Art of Machine-Human Translation 2015
  • Jerry Lin
The Tower (research journal for undergraduates at Georgia Tech), Volume VII, Issue I, Page 20. 2015