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ORCIDBo Peng 0014
Person information
- affiliation: Waymo Inc., San Francisco, CA, USAX
- affiliation (PhD 2020): Stanford University, Department of Civil and Environmental Engineering, Stanford, CA, USA
Other persons with the same name
- Bo Peng — disambiguation page
- Bo Peng 0001
![[0000-0001-8225-2284]](https://devdomain4test.ir/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
- Bo Peng 0004 (aka: Peng Bo 0001) — 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 — Tianjin University, School of Electrical and Information Engineering, 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)
- Bo Peng 0011 — Indiana University, School of Informatics and Computing, Bloomington, IN, USA
- Bo Peng 0012 — Beijing University of Posts and Telecommunications (BUPT), Beijing, China
- Bo Peng 0013 — Southwest Petroleum University (SWPU), School of Computer Science and Software Engineering, Chengdu, China (and 1 more)
- Bo Peng 0015 — Shanghai Artificial Intelligence Laboratory, Shanghai, China (and 1 more)
- Bo Peng 0016 — China University of Geosciences, Wuhan, China
- Bo Peng 0017 — Institute of Health Service and Transfusion Medicine, Beijing, China
- Bo Peng 0018 — PAII Inc., Palo Alto, CA, USA
- Bo Peng 0019 — Shenzhen Center for Disease Control and Prevention, Shenzhen, China
- Bo Peng 0020 — University of Science and Technology of China, Hefei, Anhui, China
- Bo Peng 0021 — State Grid Anhui Electric Power Co Ltd Electric Power Research Institute, Hefei, Anhui, China
- Bo Peng 0022 — China University of Mining and Technology, Beijing, China
- Bo Peng 0023 — Shanghai University of Finance and Economics, Shanghai, China
- Bo Peng 0024 — Pacific Northwest National Laboratory, WA, USA
- Bo Peng 0025 — China Southern Power Grid, Guangzhou, China
- Bo Peng 0026 — Liaoning Petrochemical University, Fushun, China
- Bo Peng 0027 — Texas A&M University, College Station, TX, USA
- Bo Peng 0028 — University of Queensland, St. Lucia, QLD, Australia
- Bo Peng 0029 — University College London, London, UK
- Bo Peng 0030 — Peking University, Beijing, China
- Bo Peng 0031 — Liaoning Vocational College of Medical, Sujiatun, China
- Bo Peng 0032 — Shanghai Ocean University, Shanghai, China
- Bo Peng 0033 — Tsinghua University, Beijing, China
- Bo Peng 0034 — Jilin University, Changchun, China
- Bo Peng 0035 — University of Illinois at Urbana-Champaign, Champaign, IL, USA
- Bo Peng 0036 — Chongqing University of Technology, Chongqing, China
- Bo Peng 0037 — Southeast University, Nanjing, China
- Bo Peng 0038 — Shanghai Lixin University of Accounting and Finance, Shanghai, China
- Bo Peng 0039 — Max Planck Institute for Astrophysics, Garching, Germany
- Bo Peng 0040 — Northeastern University, Shenyang, China
- Bo Peng 0041 — Sun Yat-sen University, Guangzhou, China
- Bo Peng 0042 — No.32139 Troops of PLA, China
- Bo Peng 0043 — Shanghai Jiao Tong University, Shanghai, China
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2020 – today
- 2022
[j1]Yue Hou, Shuo Liu, Dandan Cao, Bo Peng, Zhuo Liu, Wen-Juan Sun, Ning Chen:
A Deep Learning Method for Pavement Crack Identification Based on Limited Field Images. IEEE Trans. Intell. Transp. Syst. 23(11): 22156-22165 (2022)
2010 – 2019
- 2016
- [c1]Tian Tan, Tianshu Chu, Bo Peng, Jie Wang:
Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning. IntelliSys (1) 2016: 652-662
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