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ORCIDPeng Shi 0002
Person information
- affiliation: USC Marshall School of Business, Los Angeles, CA
- affiliation (2016 - 2017): Microsoft Research New England, Cambridge, MA, USA
- affiliation (2011 - 2016): Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (2006 - 2010): Duke University, Department of Computer Science, Durham, NC, USA
Other persons with the same name
- Peng Shi — disambiguation page
- Peng Shi 0001
![[0000-0001-8218-586X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8218-586X")
— Harbin Engineering University, College of Automation, China (and 5 more) - Peng Shi 0003 — University of Wisconsin-Madison, Wisconsin School of Business, Risk and Insurance Department, Madison, WI, USA (and 3 more)
- Peng Shi 0004 — Fujian Normal University (and 3 more)
- Peng Shi 0005 — CAS, Institute of Computing Technolgy
- Peng Shi 0006 — University of Science and Technology Beijing, National Center for Materials Service Safety, China
- Peng Shi 0007 — Hohai University, College of Water Resources and Hydrology, Nanjing, China
- Peng Shi 0008 — National University of Defense Technology, Changsha City, China
- Peng Shi 0009 — City University of Hong Kong, Department of Mechanical and Biomedical Engineering, Hong Kong (and 1 more)
- Peng Shi 0010 — University of Waterloo, David R. Cheriton School of Computer Science, ON, Canada
- Peng Shi 0011 — Beihang University, School of Astronautics, Beijing, China
- Peng Shi 0012 — Tongji University, Project Management Office of China National Scientific Seafloor Observatory, Shanghai
- Peng Shi 0013 — Henan University of Science and Technology, School of Medical Technology and Engineering, Luoyang, China (and 2 more)
- Peng Shi 0014 — Qingdao University of Technology, School of Science, Research Center for Quantum Optics and Quantum Communication, Qingdao, China
- Peng Shi 0015 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Peng Shi 0016 — Xi'an Jiaotong University, School of Electronic and Information Engineering, Electronic Materials Research Laboratory, Xi'an, China
- Peng Shi 0017 — University of Nottingham, School of Computer Science, ASAP Research Group, Nottingham, UK
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2020 – today
- 2023
[j8]Peng Shi:
Optimal Matchmaking Strategy in Two-Sided Marketplaces. Manag. Sci. 69(3): 1323-1340 (2023)- 2022
- [j7]Peng Shi:
Optimal Priority-Based Allocation Mechanisms. Manag. Sci. 68(1): 171-188 (2022) - [c8]Peng Shi:
Optimal Match Recommendations in Two-sided Marketplaces with Endogenous Prices. EC 2022: 794 - 2020
- [j6]Itai Ashlagi, Mark Braverman, Yash Kanoria, Peng Shi:
Clearing Matching Markets Efficiently: Informative Signals and Match Recommendations. Manag. Sci. 66(5): 2163-2193 (2020) - [j5]Nick Arnosti, Peng Shi:
Design of Lotteries and Wait-Lists for Affordable Housing Allocation. Manag. Sci. 66(6): 2291-2307 (2020) - [c7]Peng Shi:
Efficient Matchmaking in Assignment Games with Application to Online Platforms. EC 2020: 601-602
2010 – 2019
- 2017
- [c6]Itai Ashlagi, Mark Braverman, Yash Kanoria, Peng Shi:
Communication Requirements and Informative Signaling in Matching Markets. EC 2017: 263 - [c5]Nick Arnosti, Peng Shi:
How (Not) to Allocate Affordable Housing. EC 2017: 679 - 2016
- [j4]Itai Ashlagi, Peng Shi:
Optimal Allocation Without Money: An Engineering Approach. Manag. Sci. 62(4): 1078-1097 (2016) - 2015
- [j3]Peng Shi:
Guiding School-Choice Reform through Novel Applications of Operations Research. Interfaces 45(2): 117-132 (2015) - 2014
- [j2]Itai Ashlagi, Peng Shi:
Improving Community Cohesion in School Choice via Correlated-Lottery Implementation. Oper. Res. 62(6): 1247-1264 (2014) - [c4]Itai Ashlagi, Peng Shi:
Optimal allocation without money: an engineering approach. EC 2014: 351-352 - 2010
- [j1]Sudipto Guha, Kamesh Munagala, Peng Shi:
Approximation algorithms for restless bandit problems. J. ACM 58(1): 3:1-3:50 (2010)
2000 – 2009
- 2009
- [c3]Sudipto Guha, Kamesh Munagala, Peng Shi:
Approximation algorithms for restless bandit problems. SODA 2009: 28-37 - [c2]Peng Shi, Vincent Conitzer, Mingyu Guo:
Prediction Mechanisms That Do Not Incentivize Undesirable Actions. WINE 2009: 89-100 - 2008
- [c1]Kamesh Munagala, Peng Shi:
The Stochastic Machine Replenishment Problem. IPCO 2008: 169-183 - 2007
- [i1]Sudipto Guha, Kamesh Munagala, Peng Shi:
Approximation Algorithms for Restless Bandit Problems. CoRR abs/0711.3861 (2007)
Coauthor Index
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