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ORCIDBo Peng 0011
Person information
- affiliation: Indiana University, School of Informatics and Computing, Bloomington, IN, USA
Other persons with the same name
- Bo Peng — disambiguation page
- Bo Peng 0001
![[0000-0001-8225-2284]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8225-2284")
— University of Texas, Department of Genetics, Houston, TX, USA - Bo Peng 0002 — Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China
- Bo Peng 0003 — University of Leeds, School of Electronic and Electrical Engineering, UK
- Peng Bo 0001 (aka: Bo Peng 0004) — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Bo Peng 0005 — Arizona State University, Tempe, USA
- Bo Peng 0006 — Southwest Jiaotong University, Institute of Artificial Intelligence, School of Information Science and Technology, Chengdu, China
- Bo Peng 0007 — School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- Bo Peng 0008 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, China
- Bo Peng 0009 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Bo Peng 0010 — Southwestern University of Finance and Economics, Faculty of Business Administration, Chengdu, China (and 1 more)
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2020 – today
- 2021
[c8]Bo Peng, Jiayu Li, Selahattin Akkas, Takuya Araki, Ohno Yoshiyuki, Judy Qiu:
Rank Position Forecasting in Car Racing. IPDPS 2021: 724-733- 2020
- [i2]Bo Peng, Jiayu Li, Selahattin Akkas, Fugang Wang, Takuya Araki, Ohno Yoshiyuki, Judy Qiu:
Rank Position Forecasting in Car Racing. CoRR abs/2010.01707 (2020)
2010 – 2019
- 2019
- [c7]Chathura Widanage, Jiayu Li, Sahil Tyagi, Ravi Teja, Bo Peng, Supun Kamburugamuve, Dan Baum, Dayle Smith, Judy Qiu, Jon Koskey:
Anomaly Detection over Streaming Data: Indy500 Case Study. CLOUD 2019: 9-16 - [c6]Bo Peng, Judy Qiu, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev:
HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency. CLUSTER 2019: 1-11 - 2018
- [i1]Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu:
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR abs/1804.09764 (2018) - 2017
- [c5]Langshi Chen, Bo Peng, Bingjing Zhang, Tony Liu, Yiming Zou, Lei Jiang, Robert Henschel, Craig A. Stewart, Zhang Zhang, Emily McCallum, Zahniser Tom, Jon Omer, Judy Qiu:
Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters. CLOUD 2017: 82-89 - [c4]Bo Peng, Bingjing Zhang, Langshi Chen, Mihai Avram, Robert Henschel, Craig A. Stewart, Shaojuan Zhu, Emily McCallum, Lisa Smith, Tom Zahniser, Jon Omer, Judy Qiu:
HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency. IEEE BigData 2017: 243-252 - [c3]Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu:
High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC 2017: 173-197 - 2016
- [c2]Bingjing Zhang, Bo Peng, Judy Qiu:
High Performance LDA through Collective Model Communication Optimization. ICCS 2016: 86-97 - [c1]Bingjing Zhang, Bo Peng, Judy Qiu:
Model-centric computation abstractions in machine learning applications. BeyondMR@SIGMOD 2016: 3
Coauthor Index
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