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Di Wang 0019

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affiliation: Shanghai Jiao Tong University, School of Mechanical Engineering, Department of Industrial Engineering and Management, Shanghai, China

Other persons with the same name

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Di Wang — disambiguation page
Di Wang 0001 — Khalifa University, EBTIC, Abu Dhabi, UAE (and 2 more)
Di Wang 0002 — Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, Boca Raton, FL, USA
Di Wang 0003 — Microsoft Research, Redmond, WA, USA (and 1 more)
Di Wang 0004 — Nanyang Technological University, School of Computer Engineering / Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly, Singapore
Di Wang 0005 — Google Research, Mountain View, CA, USA (and 1 more)
Di Wang 0006 — TU Wien, Department of Geodesy and Geoinformation, Group of Photogrammetry, Vienna, Austria
Di Wang 0007 — Macquarie University, Department of Computing, Sydney, NSW, Australia (and 1 more)
Di Wang 0008 — Xi'an Jiaotong University, School of Management, Center for Intelligent Decision-Making and Machine Learning, China (and 2 more)
Di Wang 0009 — Northeast Petroleum University, School of Electrical Information Engineering, Daqing, China

Di Wang 0010 — Southeast University, Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing, China
Di Wang 0011 — Xidian University, School of Computer Science and Technology, Xi'an, China
Di Wang 0012 — University of Michigan, College of Engineering, Ann Arbor, MI, USA (and 1 more)
Di Wang 0013 — University of Southampton, Southampton Business School, UK
Di Wang 0014 — Peking University, Institute of Population Research, Beijing, China
Di Wang 0015 — King Abdullah University of Science and Technology (KAUST), Saudi Arabia (and 1 more)
Di Wang 0016 — Beijing Institute of Technology, China
Di Wang 0017 — Peking University, Beijing, China (and 1 more)
Di Wang 0018 — Dalian University of Technology, School of Software Technology, Dalian, Liaoning, China
Di Wang 0020 — Texas A&M University, Computer Science and Engineering Department, College Station, TX, USA
Di Wang 0021 — University of Canterbury, Christchurch, New Zealand (and 1 more)
Di Wang 0022 — Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
Di Wang 0023 — JD Explore Academy, Beijing, China (and 2 more)
Di Wang 0024 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China (and 1 more)
Di Wang 0025 — Wuhan University, School of Cyber Science and Engineering, China (and 1 more)
Di Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China
Di Wang 0027 — Tianjin University of Science and Technology, School of Electronic Information and Automation, China
Di Wang 0028 — Plus Inc., Suzhou, China (and 1 more)
Di Wang 0029 — University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, IL, USA
Di Wang 0030 — Microsoft Research, Redmond, WA, USA (and 1 more)
Di Wang 0031 — Facebook, Seattle, WA, USA (and 1 more)
Di Wang 0032 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electromachnical Engineering, China
Di Wang 0033 — Tiangong University, School of Electronics and Information Engineering, Tianjin, China (and 1 more)
Di Wang 0034 — University of Kitakyushu, Graduate School of Environmental Engineering, Wakamatsu, Japan (and 1 more)
Di Wang 0035 — Chongqing Jiaotong University, School of Information Science and Engineering, China (and 2 more)
Di Wang 0036 — Northeast Forestry University, College of Information and Computer Engineering, Harbin, China (and 1 more)
Di Wang 0037 — Nagoya University, Department of Civil and Environmental Engineering, Japan
Di Wang 0038 — Wuhan University of Technology, School of Management, China (and 1 more)
Di Wang 0039 — Northwest Minzu University, Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education, Lanzhou, Gansu, China (and 1 more)

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Journal Articles

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2024
[j13]
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Di Wang, Xiaochen Xian, Changyue Song:
Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes. IEEE Trans Autom. Sci. Eng. 21(2): 1421-1433 (2024)
[j12]
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Di Wang, Kaibo Liu:
An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics. IEEE Trans Autom. Sci. Eng. 21(2): 1713-1726 (2024)
[j11]
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Yu An, Di Wang, Lili Chen, Xi Zhang:
TCP-ARMA: A Tensor-Variate Time Series Forecasting Method. IEEE Trans Autom. Sci. Eng. 21(3): 2251-2263 (2024)
[j10]
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Di Wang, Andi Wang, Changyue Song:
Flexible Degradation Modeling via the Integration of Local Models and Importance Sampling. IEEE Trans. Instrum. Meas. 73: 1-12 (2024)
[j9]
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Di Wang, Yuhui Wang, Xiaochen Xian:
A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity. IEEE Trans. Instrum. Meas. 73: 1-15 (2024)
[j8]
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Di Wang, Fangyu Li, Kaibo Liu, Xi Zhang:
Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach. ACM Trans. Sens. Networks 20(2): 27:1-27:22 (2024)
2023
[j7]
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Xin Zan, Di Wang, Xiaochen Xian:
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams. Technometrics 65(2): 243-256 (2023)
[j6]
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Ge Yu, Di Wang, Jinhai Liu, Xi Zhang:
Distribution-Agnostic Few-Shot Industrial Fault Diagnosis via Adaptation-Aware Optimal Feature Transport. IEEE Trans. Ind. Informatics 19(4): 5623-5632 (2023)
2022
[j5]
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Di Wang, Kaibo Liu, Xi Zhang:
A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling. IEEE Trans Autom. Sci. Eng. 19(3): 1924-1940 (2022)
2020
[j4]
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Di Wang, Kaibo Liu, Xi Zhang:
Spatiotemporal Thermal Field Modeling Using Partial Differential Equations With Time-Varying Parameters. IEEE Trans Autom. Sci. Eng. 17(2): 646-657 (2020)
[j3]
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Di Wang, Kaibo Liu, Xi Zhang, Hui Wang:
Spatiotemporal Multitask Learning for 3-D Dynamic Field Modeling. IEEE Trans Autom. Sci. Eng. 17(2): 708-721 (2020)
2019
[j2]
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Di Wang, Kaibo Liu, Xi Zhang:
Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage. IISE Trans. 51(5): 531-546 (2019)
[j1]
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Di Wang, Xi Zhang:
Dynamic Field Monitoring Based on Multitask Learning in Sensor Networks. Sensors 19(7): 1533 (2019)

Conference and Workshop Papers

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2023
[c5]
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Yuhui Wang, Di Wang:
An Entropy- and Attention-Based Feature Extraction and Selection Network for Multi-Target Coupling Scenarios. CASE 2023: 1-6
[c4]
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Xingyu Wang, Di Wang:
A Control Chart for Monitoring Multivariate Spatiotemporal Correlated Data During Grain Storage. CASE 2023: 1-6
2022
[c3]
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Ying Wang, Di Wang:
A Data Fusion-Based LSTM Network for Degradation Modeling Under Multiple Operational Conditions. CASE 2022: 16-21
2017
[c2]
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Di Wang, Xi Zhang:
Modeling grain quality characteristics via dynamic models using sensing data. SII 2017: 336-341
2015
[c1]
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Di Wang, Xi Zhang:
A prediction method for interior temperature of grain storage via dynamics models: A simulation study. CASE 2015: 1477-1483

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