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2020 – today
- 2023
[i8]Sho Cremers, Valentin Robu, Peter Zhang, Merlinda Andoni, Sonam Norbu, David Flynn:
Efficient Methods for Approximating the Shapley Value for Asset Sharing in Energy Communities. CoRR abs/2301.00174 (2023)- [i7]Ruiqi Zhong, Peter Zhang
, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt:
Goal Driven Discovery of Distributional Differences via Language Descriptions. CoRR abs/2302.14233 (2023) - [i6]Peter Zhang:
Taking Advice from ChatGPT. CoRR abs/2305.11888 (2023) - 2022
- [j1]Peter Zhang, Alida Palmisano, Ravindra Kumar, Ming-Chung Li, James H. Doroshow, Yingdong Zhao:
TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs. Bioinform. 38(2): 570-572 (2022) - [i5]Víctor Blanco, Alberto Japón, Justo Puerto, Peter Zhang:
A Mathematical Programming Approach to Optimal Classification Forests. CoRR abs/2211.10502 (2022) - 2021
- [c7]Lauren Streitmatter, Peter Zhang:
Travel Cadence and Epidemic Spread. WSC 2021: 1-12 - [i4]Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O'Hara:
DEFT: Detection Embeddings for Tracking. CoRR abs/2102.02267 (2021) - [i3]Runshan Fu, Yangfan Liang, Peter Zhang:
Model Mis-specification and Algorithmic Bias. CoRR abs/2105.15182 (2021) - [i2]Lauren Streitmatter, Peter Zhang:
Travel Cadence and Epidemic Spread. CoRR abs/2107.00203 (2021) - 2020
- [c6]Chunqiang Tang, Kenny Yu, Kaushik Veeraraghavan, Jonathan Kaldor, Scott Michelson, Thawan Kooburat, Aravind Anbudurai, Matthew Clark, Kabir Gogia, Long Cheng, Ben Christensen, Alex Gartrell, Maxim Khutornenko, Sachin Kulkarni, Marcin Pawlowski, Tuomas Pelkonen, Andre Rodrigues, Rounak Tibrewal, Vaishnavi Venkatesan, Peter Zhang:
Twine: A Unified Cluster Management System for Shared Infrastructure. OSDI 2020: 787-803
2010 – 2019
- 2018
- [i1]Bruno M. Grande, Arjun Baghela, Anna Cavalla, Florian Privé, Peter Zhang, Yisong Zhen:
Hackathon-driven tutorial development. F1000Research 7: 1974 (2018) - 2016
- [c5]Peter Zhang, Marcin Zalewski, Andrew Lumsdaine, Samantha Misurda, Scott McMillan:
GBTL-CUDA: Graph Algorithms and Primitives for GPUs. IPDPS Workshops 2016: 912-920 - 2015
- [c4]Peter Zhang, Eric Holk, John Matty, Samantha Misurda, Marcin Zalewski, Jonathan Chu, Scott McMillan, Andrew Lumsdaine:
Dynamic parallelism for simple and efficient GPU graph algorithms. IA3@SC 2015: 11:1-11:4 - 2014
- [c3]Peter Zhang, Yiling Chen:
Elicitability and knowledge-free elicitation with peer prediction. AAMAS 2014: 245-252 - 2012
- [c2]Anthony Lai, Lei Song, Yiming Peng, Peter Zhang, Qili Wang, Shaoning Pang:
Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. ICONIP (5) 2012: 309-317
2000 – 2009
- 2007
- [c1]Peter Zhang, Kenneth Rockwood, Arnold Mitnitski:
Applications of Data mining in a Web-enabled Caregiver-Report Tool for Symptom Relations in Dementia. DMIN 2007: 214-220
Coauthor Index
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last updated on 2023-09-28 02:35 CEST by the dblp team
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