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ORCIDKai Wang 0024
Person information
- affiliation: Central South University, School of Automation, Changsha, China
- affiliation (PhD 2017): Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China
Other persons with the same name
- Kai Wang — disambiguation page
- Kai Wang 0001
![[0000-0001-5589-7060]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5589-7060")
— Nankai University, Institute of Machine Intelligence, College of Computer and Control Engineering, Sino-Canada Joint R&D Centre on Water and Environmental Safety, Tianjin, China - Kai Wang 0002 — Grenoble Institute of Technology, GIPSA-Lab, France (and 1 more)
- Kai Wang 0003 — Chongqing University, School of Automation, China
- Kai Wang 0004 — Xinjiang Medical University, Department of Medical Engineering and Technology, Urumqi, China
- Kai Wang 0005 — Osaka University, Graduate School of Engineering Science, Toyonaka, Japan
- Kai Wang 0006 — Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, Hong Kong (and 3 more)
- Kai Wang 0007 — South University of Science and Technology of China, Department of Electrical & Electronic Engineering, Shenzhen, China (and 1 more)
- Kai Wang 0008 — North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, NC, USA
- Kai Wang 0009 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 5 more)
- Kai Wang 0010 — Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Chengdu, China
- Kai Wang 0011 — University of California, Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
- Kai Wang 0012 — China Unicom, Beijing, China (and 3 more)
- Kai Wang 0013 — Dalian Neusoft University of Information, Department of Computer Science and Technology, China
- Kai Wang 0014 — Tsinghua University, Research Institute of Information Technology, Beijing, China (and 3 more)
- Kai Wang 0015 — Tianjin University, School of Computer Science and Technology, China
- Kai Wang 0016 — Wuhan University, Department of Management Science and Engineering, Economics and Management School, China (and 1 more)
- Kai Wang 0017 — Jiangnan University, School of Internet of Things Engineering, MOE Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China (and 2 more)
- Kai Wang 0018 — City University of Hong Kong, Department of Computer Science, Hong Kong
- Kai Wang 0019 — Xi'an Jiaotong University, School of Electrical and Information Engineering, China
- Kai Wang 0020 — Southeast University, School of Information Science and Engineering, Nanjing, China
- Kai Wang 0021 — Sichuan University, School of Manufacturing Science and Engineering, Chengdu, China
- Kai Wang 0022 — University of Science and Technology of China, School of Humanities and Social Science, Hefei, China (and 1 more)
- Kai Wang 0023 — Chinese Academy of Sciences, Shenyang Institute of Automation, China
- Kai Wang 0026 — Georgia Southern University, Department of Computer Science, Statesboro, GA, USA
- Kai Wang 0027 — Duke University, Durham, NC, USA
- Kai Wang 0028 — Chinese University of Hong Kong, Hong Kong
- Kai Wang 0029 — University of California, Los Angeles, USA (and 1 more)
- Kai Wang 0030 — China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China
- Kai Wang 0031 — China Three Gorges University, College of Electrical Engineering & New Energy, Yichang, China
- Kai Wang 0032 — University of Electronic Science and Technology of China, Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China
- Kai Wang 0033 — Sun Yat-Sen University-Carnegie Mellon University Joint Institute of Engineering, School of Electronics and Information Technology, Guangzhou, China
- Kai Wang 0034 — Jiangsu University, National Research Center of Pumps and Pumping System Engineering and Technology, Zhenjiang, China
- Kai Wang 0035 — Huaihai Institute of Technology, Business School, Lianyungang, China
- Kai Wang 0036 — National University of Singapore, School of Computing, Singapore (and 2 more)
- Kai Wang 0037 — Shanghai Jiao Tong University, China (and 1 more)
- Kai Wang 0038 — National University of Kaohsiung, Department of Information Management, Taiwan (and 2 more)
- Kai Wang 0039 — Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (and 2 more)
- Kai Wang 0040 — Harvard University, Cambridge, MA, USA (and 1 more)
- Kai Wang 0041 — Yunshan Networks, Beijing, China (and 1 more)
- Kai Wang 0042 — Lanzhou University, School of Mathematics and Statistics, China
- Kai Wang 0043 — Dalian Maritime University, College of Marine Engineering, China (and 1 more)
- Kai Wang 0044 — University of Alberta, Department of Civil and Environmental Engineering, Edmonton, AB, Canada
- Kai Wang 0045 — Bristol-Myers Squibb, San Diego, CA, US (and 3 more)
- Kai Wang 0046 — Hong Kong University of Science and Technology, Department of Industrial Engineering and Decision Analytics, Hong Kong
- Kai Wang 0047 — East China University of Science and Technology, School of Information Science and Engineering / MoE Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China
- Kai Wang 0048 — Xinjiang University, School of Information Science and Engineering, Urumqi, China
- Kai Wang 0049 — University of Pennsylvania, Department of Pathology, Philadelphia, PA, USA (and 4 more)
- Kai Wang 0050 — Hong Kong Polytechnic University, Department of Applied Mathematics, Hong Kong
- Kai Wang 0051 — Beijing Institute of Technology, School of Mathematics and Statistics, China
- Kai Wang 0052 — Qingdao University, College of Automation and Electrical Engineering, China (and 1 more)
- Kai Wang 0053 — University of Texas Southwestern Medical Center, Dallas, TX, USA (and 1 more)
- Kai Wang 0054 — Stevens Institute of Technology, School of Business, Hoboken, NJ, USA
- Kai Wang 0055 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
- Kai Wang 0056 — Qilu Transportation Development Group Company Ltd., Jinan, China
- Kai Wang 0057 — Nanyang Technological University, Singapore (and 1 more)
- Kai Wang 0058 — University of Oregon, Eugene, OR, USA (and 2 more)
- Kai Wang 0059 (aka: Shiaokai Wang) — Google (and 2 more)
- Kai Wang 0060 — Autonomous University of Barcelona, Spain
- Kai Wang 0061 — Harbin Institute of Technology, Department of Computer Science and Technology, China
- Kai Wang 0062 — Fudan University, School of Computer Science, Laboratory for Data Analytics and Security, Shanghai, China
- Kai Wang 0063 — Jilin University, Changchun, China
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2020 – today
- 2025
[j43]Jie Han, Yuxuan Zheng, Kai Wang, Chunhua Yang, Xin Yuan:
Worst-case robust optimization based on an adaptive incremental Kriging metamodel. Expert Syst. Appl. 260: 125372 (2025)- [j42]Ziyi Yang, Kai Wang, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui:
A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes. IEEE Trans. Ind. Informatics 21(2): 1803-1812 (2025) - 2024
- [j41]Kai Wang, Daojie He, Qingqiang Sun, Lizhi Yi, Xiaofeng Yuan, Yalin Wang:
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Appl. Soft Comput. 158: 111542 (2024) - [j40]Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu:
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. Eng. Appl. Artif. Intell. 131: 107839 (2024) - [j39]Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu:
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. 133: 108361 (2024) - [j38]Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu:
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Syst. Appl. 245: 123078 (2024) - [j37]Bochun Yue, Kai Wang, Hongqiu Zhu, Xiaofeng Yuan, Chunhua Yang:
Spiking autoencoder for nonlinear industrial process fault detection. Inf. Sci. 665: 120389 (2024) - [j36]Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong:
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. IEEE Trans. Artif. Intell. 5(1): 334-345 (2024) - [j35]Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang:
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. IEEE Trans Autom. Sci. Eng. 21(2): 1138-1150 (2024) - [j34]Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan:
Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Trans Autom. Sci. Eng. 21(3): 4808-4816 (2024) - [j33]Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui:
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. IEEE Trans. Cybern. 54(2): 974-987 (2024) - [j32]Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen:
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. 54(5): 2696-2707 (2024) - [j31]Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui:
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. IEEE Trans. Ind. Informatics 20(4): 5253-5262 (2024) - [j30]Kai Wang, Xiang Lei, Wenxuan Zhou, Saige Cheng, Jing Li:
Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection. IEEE Trans. Ind. Informatics 20(8): 10375-10386 (2024) - [j29]Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen:
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j28]Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. IEEE Trans. Knowl. Data Eng. 36(11): 6977-6988 (2024) - [j27]Qingqiang Sun, Kai Wang, Wenjie Zhang, Peng Cheng, Xuemin Lin:
Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(12): 8556-8567 (2024) - [i1]Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni:
Machine learning for industrial sensing and control: A survey and practical perspective. CoRR abs/2401.13836 (2024) - 2023
- [j26]Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. Eng. Appl. Artif. Intell. 117(Part): 105547 (2023) - [j25]Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan:
Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. 629: 456-470 (2023) - [j24]Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan:
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks 164: 310-322 (2023) - [j23]Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui:
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. IEEE Trans. Cybern. 53(2): 695-706 (2023) - [j22]Kai Wang, Caoyin Yan, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang:
Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. IEEE Trans. Ind. Informatics 19(7): 7914-7924 (2023) - [c6]Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang:
Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. SAFEPROCESS 2023: 1-6 - [c5]Chenliang Liu, Yalin Wang, Yijing Fang, Kai Wang:
Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells. IECON 2023: 1-6 - 2022
- [j21]Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. Adv. Eng. Informatics 52: 101590 (2022) - [j20]Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan:
Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. J. Frankl. Inst. 359(7): 3291-3312 (2022) - [j19]Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang:
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. Knowl. Based Syst. 248: 108851 (2022) - [j18]Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu:
A reduced nonstationary discrete convolution kernel for multimode process monitoring. Int. J. Mach. Learn. Cybern. 13(12): 3711-3725 (2022) - [j17]Ning Chen, Fuhai Hu, Jiayao Chen, Kai Wang, Chunhua Yang, Weihua Gui:
A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material. Sensors 22(19): 7203 (2022) - [j16]Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan:
Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. IEEE Trans. Ind. Informatics 18(9): 5849-5858 (2022) - [j15]Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j14]Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang:
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7682-7694 (2022) - [c4]Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang:
A multi-source transfer learning method for new mode monitoring in industrial processes. CoDIT 2022: 124-129 - 2021
- [j13]Yalin Wang, Ling Li, Kai Wang:
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. Comput. Chem. Eng. 144: 107156 (2021) - [j12]Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan:
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. Eng. Appl. Artif. Intell. 104: 104341 (2021) - [j11]Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan, Chunhua Yang:
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. Eng. Appl. Artif. Intell. 104: 104381 (2021) - [j10]Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan:
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. Inf. Sci. 567: 42-57 (2021) - [j9]Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang:
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks 136: 54-62 (2021) - [j8]Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang:
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j7]Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye:
Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c3]Fangyang Liu, Yalin Wang, Kai Wang:
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. Big Data (CCF) 2021: 182-193 - [c2]Kai Wang, Zhiying Guo, Yalin Wang:
A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. CAA SAFEPROCESS 2021: 1-6 - 2020
- [j6]Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song:
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics 16(12): 7233-7242 (2020)
2010 – 2019
- 2019
- [j5]Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song:
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access 7: 22554-22565 (2019) - [j4]Kai Wang, Junghui Chen, Zhihuan Song:
Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Trans Autom. Sci. Eng. 16(3): 1033-1045 (2019) - [j3]Kai Wang, Junghui Chen, Zhihuan Song:
Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Trans. Control. Syst. Technol. 27(1): 378-385 (2019) - [c1]Kai Wang, Junghui Chen, Zhihuan Song:
Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC 2019: 1352-1357 - 2018
- [j2]Kai Wang, Junghui Chen, Zhihuan Song:
Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. 355(7): 3249-3273 (2018) - [j1]Kai Wang, Junghui Chen, Zhihuan Song:
A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. J. Frankl. Inst. 355(14): 6675-6692 (2018)
Coauthor Index
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