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Jing Huang 0025
Person information
- affiliation: University of Virginia, Department of Aerospace and Mechanical Engineering, Charlottesville, VA, USA
- affiliation: Stony Brook University, Department of Mechanical Engineering, Stony Brook NY, USA
Other persons with the same name
- Jing Huang — disambiguation page
- Jing Huang 0001 — SUN Microsystems, Santa Clara, CA, USA (and 1 more)
- Jing Huang 0002
— Jilin University, School of Computer Science and Technology, Changchun, China
- Jing Huang 0003
— Beijing University of Technology, Institute of Artificial Intelligence and Robotics, China
- Jing Huang 0004
— Westlake Institute for Advanced Study, Institute for Biology, Hangzhou, China (and 2 more)
- Jing Huang 0005
— Zhejiang Gongshang University, School of Information and Electronic Engineering, Hangzhou, China (and 1 more)
- Jing Huang 0006
— Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute for Brain Research, China (and 1 more)
- Jing Huang 0007
— University of Victoria, Department of Mathematics and Statistics, BC, Canada (and 1 more)
- Jing Huang 0008 — Qualcomm, Santa Clara, CA, USA (and 2 more)
- Jing Huang 0009
— Wuhan Polytechnic, Wuhan City, China
- Jing Huang 0010
— Nanyang Technological University, School of EEE, VIRTUS IC Design Centre of Excellence, Singapore
- Jing Huang 0011
— South China University of Technology, School of Mathematics, Guangzhou, China (and 1 more)
- Jing Huang 0012
— Hunan University, College of Computer Science and Electronic Engineering, Key Laboratory for Embedded and Network Computing, Changsha, China
- Jing Huang 0013
— Wuhan University of Technology, School of Computer Science and Technology, Wuhan, China
- Jing Huang 0014
— University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- Jing Huang 0015
— Hunan University, College of Mechanical and Vehicle Engineering, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha, China
- Jing Huang 0016
— Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
- Jing Huang 0017
— Sichuan University, School of Public Administration, Chengdu, China
- Jing Huang 0018 — Southern Medical University, Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China (and 1 more)
- Jing Huang 0019 — JD AI Research and Platform, Mountain View, CA, USA (and 2 more)
- Jing Huang 0020
— Facebook, Menlo Park, CA, USA (and 1 more)
- Jing Huang 0021 — University of Pennsylvania, Perelman School of Medicine, Departmant of Biostatistics, Epidemiology and Informatics, Philadelphia, PA, USA
- Jing Huang 0022 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Jing Huang 0023 — University of Illinois at Chicago, Department of Electrical and Computer Engineering, Chicago, IL, USA
- Jing Huang 0024 — Veracyte, Department of Research & Development, San Francisco, CA, USA (and 1 more)
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2020 – today
- 2022
- [j6]Jianyu Su
, Jing Huang
, Stephen C. Adams
, Qing Chang
, Peter A. Beling
:
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems. Expert Syst. Appl. 192: 116323 (2022) - [j5]Kshitij Bhatta
, Jing Huang
, Qing Chang
:
Dynamic Robot Assignment for Flexible Serial Production Systems. IEEE Robotics Autom. Lett. 7(3): 7303-7310 (2022) - [i2]Jing Huang, Hua-Tzu Fan, Guoxian Xiao, Qing Chang:
Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality. CoRR abs/2206.11204 (2022) - 2021
- [j4]Chen Li
, Jing Huang
, Qing Chang
:
Data-Enabled Permanent Production Loss Analysis for Serial Production Systems With Variable Cycle Time Machines. IEEE Robotics Autom. Lett. 6(4): 6418-6425 (2021) - [c5]Jing Huang, Qing Chang, Jorge Arinez:
Predicting the Distribution of Product Completion Time in Multi-Product Manufacturing Systems. CASE 2021: 316-323 - 2020
- [j3]Tian Yu
, Jing Huang
, Qing Chang
:
Mastering the Working Sequence in Human-Robot Collaborative Assembly Based on Reinforcement Learning. IEEE Access 8: 163868-163877 (2020) - [j2]Jing Huang, Qing Chang, Jorge Arinez:
Deep reinforcement learning based preventive maintenance policy for serial production lines. Expert Syst. Appl. 160: 113701 (2020) - [c4]Jing Huang, Qing Chang, Jorge Arinez:
Distributed Production Scheduling for Multi-Product Flexible Production Lines. CASE 2020: 1473-1478 - [i1]Tian Yu, Jing Huang, Qing Chang:
Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning. CoRR abs/2007.04140 (2020)
2010 – 2019
- 2019
- [c3]Jing Huang, Qing Chang, Nilanjan Chakraborty:
Machine Preventive Replacement Policy for Serial Production Lines Based on Reinforcement Learning. CASE 2019: 523-528 - 2018
- [j1]Jing Huang, Qing Chang
, Jing Zou, Jorge Arinez:
A Real-Time Maintenance Policy for Multi-Stage Manufacturing Systems Considering Imperfect Maintenance Effects. IEEE Access 6: 62174-62183 (2018) - [c2]Jing Huang, Qing Chang, Jing Zou, Jorge Arinez, Guoxian Xiao:
Real-time Control of Maintenance on Deteriorating Manufacturing System. CASE 2018: 211-216 - [c1]Jing Zou, Qing Chang, Jing Huang, Jorge Arinez, Guoxian Xiao:
Analysis of End-of-State Impact on Manufacturing System Production Performance. CASE 2018: 823-828
Coauthor Index
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last updated on 2024-08-23 19:20 CEST by the dblp team
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