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ORCIDHao Peng 0007
Person information
- affiliation: University of Georgia, Athens, GA, USA
Other persons with the same name
- Hao Peng — disambiguation page
- Hao Peng 0001
![[0000-0001-7422-630X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7422-630X")
— Beihang University, Beijing, China - Hao Peng 0002 — Zhejiang Normal University, Jinhua, China
- Hao Peng 0003 — South China University of Technology, Guangzhou, China
- Hao Peng 0004 — Embry-Riddle Aeronautical University, Daytona Beach, FL, USA
- Hao Peng 0005 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Hao Peng 0006 — University of Michigan, Ann Arbor, MI, USA
- Hao Peng 0008 — Apex.AI Inc., Palo Alto, CA, USA
- Hao Peng 0009 — University of Illinois Urbana-Champaign, IL, USA (and 1 more)
- Hao Peng 0010 — Nanjing Tech University, Nanjing, China
- Hao Peng 0011 — Beijing BENZ Automotive CO.LTD, Beijing, China
- Hao Peng 0012 — University of Electronic Science and Technology of China, Chengdu, China
- Hao Peng 0013 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Hao Peng 0014 — Stanford University, Department of Radiation Oncology, Stanford, CA, USA
- Hao Peng 0015 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Hao Peng 0016 — ObEN, Inc., Pasadena, CA, USA
- Hao Peng 0017 — Peking University, Beijing, China
- Hao Peng 0018 — University of Edinburgh, Edinburgh, GB
- Hao Peng 0019 — Stony Brook University, Stony Brook, NY, USA
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2010 – 2019
- 2019
[c8]Hao Peng, John A. Miller:
Multi-step Short Term Traffic Flow Forecasting Using Temporal and Spatial Data. BigData 2019: 110-124- [c7]Hao Peng, Nicholas Klepp, Mohammadhossein Toutiaee, Ismailcem Budak Arpinar, John A. Miller:
Knowledge and Situation-Aware Vehicle Traffic Forecasting. IEEE BigData 2019: 3803-3812 - 2018
- [j1]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, Hao Peng, William S. York, René Ranzinger, Melody P. Porterfield:
Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 425: 62-75 (2018) - [c6]Hao Peng, Santosh U. Bobade, Michael E. Cotterell, John A. Miller:
Forecasting Traffic Flow: Short Term, Long Term, and When It Rains. BigData Congress 2018: 57-71 - 2017
- [c5]Hao Peng, Zhe Jin, John A. Miller:
Bayesian Networks with Structural Restrictions: Parallelization, Performance, and Efficient Cross-Validation. BigData Congress 2017: 7-14 - [c4]John A. Miller, Hao Peng, Michael E. Cotterell:
Adding Support for Theory in Open Science Big Data. BigData Congress 2017: 251-255 - [c3]Mustafa V. Nural, Hao Peng, John A. Miller:
Using meta-learning for model type selection in predictive big data analytics. IEEE BigData 2017: 2027-2036 - [c2]John A. Miller, Hao Peng, Michael E. Cotterell:
Adding Support for Theory in Open Science Big Data. SERVICES 2017: 71-75 - [c1]John A. Miller, Hao Peng, Casey N. Bowman:
Advanced tutorial on microscopic discrete-event traffic simulation. WSC 2017: 705-719
Coauthor Index
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