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ORCIDPeng Sun 0014
Person information
- affiliation: The Climate Corporation, San Francisco, CA, USA
- affiliation (PhD 2019): University of Missouri, Department of Electrical Engineering and Computer Science, EECS, MO, USA
Other persons with the same name
- Peng Sun — disambiguation page
- Peng Sun 0001
![[0000-0002-3892-5936]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3892-5936")
— Duke University, Fuqua School of Business, Durham, NC, USA - Peng Sun 0002 — Zhengzhou University, School of Information Engineering, China
- Peng Sun 0003 — Hunan University, Changsha, China (and 1 more)
- Peng Sun 0004 — Jinan University, Institute of Industrial Economics, Guangzhou, China
- Peng Sun 0005 — Eindhoven University of Technology, School of Industrial Engineering, Operations, Planning, Accounting and Control, The Netherlands
- Peng Sun 0006 — Nanyang Technological University, Energy Research Institute, Interdisciplinary Graduate School, Singapore
- Peng Sun 0007 — Duke Kunshan University, Jiangsu, China (and 1 more)
- Peng Sun 0008 — Saarland University, Saarbrücken, Germany
- Peng Sun 0009 — Criminal Investigation Police University of China, Department of Criminal Science and Technique, Shenyang, China
- Peng Sun 0010 — Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Netherlands
- Peng Sun 0011 — Tencent AI Lab, Shenzhen, China (and 1 more)
- Peng Sun 0012 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Peng Sun 0013 — Northwestern Polytechnical University, School of Astronautics, Xi'an, China (and 1 more)
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2020 – today
- 2021
[j2]Yang Liu, Peng Sun, Nickolas M. Wergeles, Yi Shang:
A survey and performance evaluation of deep learning methods for small object detection. Expert Syst. Appl. 172: 114602 (2021)- 2020
- [j1]Peng Sun, Guang Chen, Yi Shang:
Adaptive Saliency Biased Loss for Object Detection in Aerial Images. IEEE Trans. Geosci. Remote. Sens. 58(10): 7154-7165 (2020)
2010 – 2019
- 2019
- [c6]Luke M. Guerdan, Peng Sun, Connor Rowland, Logan Harrison, Zhicheng Tang, Nickolas M. Wergeles, Yi Shang:
Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction. ABCD-NP@MICCAI 2019: 17-25 - 2018
- [c5]Yang Liu, Peng Sun, Max R. Highsmith, Nickolas M. Wergeles, Joel Sartwell, Andy Raedeke, Mary Mitchell, Heath Hagy, Andrew D. Gilbert, Brian Lubinski, Yi Shang:
Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images. DSC 2018: 317-324 - [i1]Peng Sun, Guang Chen, Luke M. Guerdan, Yi Shang:
Salience Biased Loss for Object Detection in Aerial Images. CoRR abs/1810.08103 (2018) - 2017
- [c4]Joseph P. Bernstein, Brandon J. Mendez, Peng Sun, Yang Liu, Yi Shang:
Using deep learning for alcohol consumption recognition. CCNC 2017: 1020-1021 - [c3]Guang Chen, Peng Sun, Yi Shang:
Automatic Fish Classification System Using Deep Learning. ICTAI 2017: 24-29 - 2016
- [c2]Peng Sun, Nicholas M. Wergeles, Chen Zhang, Luke M. Guerdan, Timothy Trull, Yi Shang:
ADA - Automatic Detection of Alcohol Usage for Mobile Ambulatory Assessment. SMARTCOMP 2016: 1-5 - 2015
- [c1]Ruiqi Shi, Zhang Chen, Haidong Wang, Peng Sun, Timothy Trull, Yi Shang:
mAAS - A Mobile Ambulatory Assessment System for Alcohol Craving Studies. COMPSAC Workshops 2015: 282-287
Coauthor Index
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