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Dehao Wu
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2020 – today
- 2024
- [j27]Bei Sun, Zhixuan Peng, Mingjie Lv, Maopeng Li, Ran Hong, Yonggang Li, Dehao Wu:
A co-optimized control method of key parameters during operating state migration in zinc electrolysis process. J. Frankl. Inst. 361(18): 107303 (2024) - [j26]Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui:
Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning. Reliab. Eng. Syst. Saf. 247: 110133 (2024) - [j25]Zeyi Liu, Dehao Wu, Keke Huang, Chunhua Yang, Weihua Gui:
Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application. IEEE Trans Autom. Sci. Eng. 21(1): 192-203 (2024) - [j24]Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui:
Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications. IEEE Trans Autom. Sci. Eng. 21(3): 4561-4572 (2024) - [j23]Keke Huang, Xinyu Ying, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process. IEEE Trans. Fuzzy Syst. 32(9): 4876-4889 (2024) - [j22]Keke Huang, Xinyu Ying, Dehao Wu, Chunhua Yang, Weihua Gui:
Multimodel Self-Learning Predictive Control Method With Industrial Application. IEEE Trans. Ind. Electron. 71(11): 14842-14852 (2024) - [j21]Keke Huang, Peng Wang, Zeyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Open World Wheels Recognition for Incomplete Data: A Two-Stage Solution Combining Data Generation and Metric Learning. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j20]Keke Huang, Zui Tao, Yishun Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2942-2955 (2024) - [j19]Keke Huang, Yanwei Tang, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2241-2253 (2024) - [j18]Zixuan Chen, Keke Huang, Dehao Wu, Chunhua Yang, Weihua Gui:
Global Information-Based Lifelong Dictionary Learning for Multimode Process Monitoring. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7182-7194 (2024) - [c22]Yue Liu, Yali Liu, Qiuzhi Song, Dehao Wu:
The effect of joint assistance on human-machine interactive forces for weight-bearing exoskeleton robots. ICHMI 2024: 52-57 - [i2]Dongnan Jin, Yali Liu, Qiuzhi Song, Xunju Ma, Yue Liu, Dehao Wu:
Dynamic Dimension Wrapping (DDW) Algorithm: A Novel Approach for Efficient Cross-Dimensional Search in Dynamic Multidimensional Spaces. CoRR abs/2407.11626 (2024) - 2023
- [j17]Wenfeng Deng, Yuxuan Li, Keke Huang, Dehao Wu, Chunhua Yang, Weihua Gui:
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network. Neural Networks 158: 30-41 (2023) - [j16]Keke Huang, Li Zhang, Dehao Wu, Chunhua Yang, Weihua Gui:
Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning. IEEE Trans. Control. Syst. Technol. 31(3): 1122-1132 (2023) - [j15]Keke Huang, Peng Wang, Ke Wei, Dehao Wu, Chunhua Yang, Weihua Gui:
Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution. IEEE Trans. Control. Syst. Technol. 31(6): 2700-2713 (2023) - [j14]Xin Ma, Dehao Wu, Shaoxu Gao, Tongze Hou, Youqing Wang:
Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power Plants. IEEE Trans. Cybern. 53(8): 5387-5399 (2023) - [j13]Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui, Shiyan Hu:
Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning. IEEE Trans. Ind. Informatics 19(1): 436-446 (2023) - 2022
- [j12]Dehao Wu, Donghua Zhou, Maoyin Chen:
Performance-Driven Component Selection in the Framework of PCA for Process Monitoring: A Dynamic Selection Approach. IEEE Trans. Control. Syst. Technol. 30(3): 1171-1185 (2022) - [j11]Dehao Wu, Donghua Zhou, Maoyin Chen:
Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes With Uncertainty. IEEE Trans. Ind. Informatics 18(5): 3114-3125 (2022) - [c21]Yi Li, Dehao Wu, Yuesheng Zhu:
A Multiple Positives Enhanced NCE Loss for Image-Text Retrieval. MMM (1) 2022: 431-442 - 2021
- [j10]Dehao Wu, Wei Koong Chai:
Information Resilience in a Network of Caches With Perturbations. IEEE Access 9: 136135-136150 (2021) - [j9]Xiaomin Meng, Maziar M. Nekovee, Dehao Wu:
The Design and Analysis of Electronically Reconfigurable Liquid Crystal-Based Reflectarray Metasurface for 6G Beamforming, Beamsteering, and Beamsplitting. IEEE Access 9: 155564-155575 (2021) - [j8]Wenyuan Yang, Boyu Sun, Yuesheng Zhu, Dehao Wu:
A secure heuristic semantic searching scheme with blockchain-based verification. Inf. Process. Manag. 58(4): 102548 (2021) - [j7]Dehao Wu, Donghua Zhou, Maoyin Chen, Jifeng Zhu, Fei Yan, Shuiming Zheng, Entao Guo:
Output-Relevant Common Trend Analysis for KPI-Related Nonstationary Process Monitoring With Applications to Thermal Power Plants. IEEE Trans. Ind. Informatics 17(10): 6664-6675 (2021) - [c20]Dehao Wu, Donghua Zhou, Maoyin Chen, Hongquan Ji, Yanwen Wang, Xiaopeng Xi:
Nonstationary Process Monitoring Using Sparse Stationary Subspace Analysis. CAA SAFEPROCESS 2021: 1-5 - [c19]Yun Zhang, Ruixin Liu, Yifan Pan, Dehao Wu, Yuesheng Zhu, Zhiqiang Bai:
GI-AEE: GAN Inversion Based Attentive Expression Embedding Network For Facial Expression Editing. ICIP 2021: 2453-2457 - [c18]Dehao Wu, Yi Li, Yinghong Zhang, Yuesheng Zhu:
Multi-Dimensional Attentive Hierarchical Graph Pooling Network for Video-Text Retrieval. ICME 2021: 1-6 - [c17]Junting Li, Dehao Wu, Yuesheng Zhu, Zhiqiang Bai:
A Multi-interaction Model with Cross-Branch Feature Fusion for Video-Text Retrieval. ICONIP (6) 2021: 476-484 - [c16]Zhencheng Huang, Dehao Wu, Zhenyu Weng, Yuesheng Zhu, Zhiqiang Bai:
Sequence-Aware Graph Neural Network for Session-based Recommendation. IJCNN 2021: 1-8 - [c15]Lloyd Pellatt, Maziar M. Nekovee, Dehao Wu:
A Concurrent Training Method of Deep-Learning Autoencoders in a Multi-user Interference Channel. ISWCS 2021: 1-6 - 2020
- [j6]Dehao Wu, Maziar M. Nekovee, Yue Wang:
Deep Learning-Based Autoencoder for m-User Wireless Interference Channel Physical Layer Design. IEEE Access 8: 174679-174691 (2020) - [j5]Dehao Wu, Donghua Zhou, Jingxin Zhang, Maoyin Chen:
Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability. Comput. Chem. Eng. 136: 106787 (2020) - [c14]Boyu Sun, Wenyuan Yang, Mengqi Yan, Dehao Wu, Yuesheng Zhu, Zhiqiang Bai:
An Encrypted Traffic Classification Method Combining Graph Convolutional Network and Autoencoder. IPCCC 2020: 1-8
2010 – 2019
- 2019
- [c13]Dehao Wu, Maoyin Chen, Donghua Zhou:
Multimode Process Monitoring with Mode Transition Constraints. CAA SAFEPROCESS 2019: 513-518 - [c12]Xiaomin Meng, Maziar M. Nekovee, Dehao Wu, Richard Rudd:
Electronically Reconfigurable Binary Phase Liquid Crystal Reflectarray Metasurface at 108 GHz. GLOBECOM Workshops 2019: 1-6 - [c11]Dehao Wu, Maziar M. Nekovee, Yue Wang:
An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels. MLN 2019: 342-354 - [i1]Dehao Wu, Maziar M. Nekovee, Yue Wang:
Deep Learning Based Autoencoder for Interference Channel. CoRR abs/1902.06841 (2019) - 2018
- [c10]Richard Rudd, Dehao Wu, Victor Ocheri, Maziar M. Nekovee:
Independent and joint statistics of clutter loss and building entry loss - initial measurements. PIMRC 2018: 1-2 - [c9]Jose Espinosa, Mihalis Tsiakkas, Dehao Wu, Simon Watson, Joaquín Carrasco, Pete R. Green, Barry Lennox:
A Hybrid Underwater Acoustic and RF Localisation System for Enclosed Environments Using Sensor Fusion. TAROS 2018: 369-380 - 2017
- [j4]Ran Zhang, Wen-De Zhong, Kemao Qian, Dehao Wu:
Image Sensor Based Visible Light Positioning System With Improved Positioning Algorithm. IEEE Access 5: 6087-6094 (2017) - [j3]Chen Chen, Wen-De Zhong, Dehao Wu:
Non-Hermitian Symmetry Orthogonal Frequency Division Multiplexing for Multiple-Input Multiple-Output Visible Light Communications. JOCN 9(1): 36-44 (2017) - [j2]Chen Chen, Wen-De Zhong, Dehao Wu:
On the Coverage of Multiple-Input Multiple-Output Visible Light Communications [Invited]. JOCN 9(9): D31-D41 (2017) - 2016
- [c8]Ran Zhang, Wen-De Zhong, Dehao Wu, Kemao Qian:
A Novel Sensor Fusion Based Indoor Visible Light Positioning System. GLOBECOM Workshops 2016: 1-6 - [c7]Chen Chen, Wen-De Zhong, Dehao Wu:
Communication coverage improvement of indoor SDM-VLC system using NHS-OFDM with a modified imaging receiver. ICC Workshops 2016: 315-320 - [c6]Wen-De Zhong, Chen Chen, Dehao Wu:
Non-Hermitian symmetry OFDM for indoor space division multiplexing visible light communications. ICTON 2016: 1-4 - 2015
- [c5]Wen-De Zhong, Chen Chen, Dehao Wu:
Seamless integration of indoor VLC with WDM-PON based on hierarchically modulated constant envelope OFDM. ICTON 2015: 1-4 - 2012
- [j1]Dehao Wu, Zabih Ghassemlooy, Hoa Le Minh, Sujan Rajbhandari, Anthony C. Boucouvalas:
Improvement of the Transmission Bandwidth for Indoor Optical Wireless Communication Systems Using a Diffused Gaussian Beam. IEEE Commun. Lett. 16(8): 1316-1319 (2012) - [c4]Dehao Wu, Zabih Ghassemlooy, Hoa Le Minh, Sujan Rajbhandari, W. Lim:
Optimisation of transmission bandwidth for indoor cellular OWC system using a dynamic handover decision-making algorithm. CSNDSP 2012: 1-4 - 2010
- [c3]Qing Lu, Alistair Sambell, Sean Danaher, Edward Korolkiewicz, Zabih Ghassemlooy, Lei Liu, Dehao Wu:
The effect of the turn 'On' resistance of an active device and the Q factor of the load harmonic network on the efficiency and efficiency bandwidth of a class E amplifier. CSNDSP 2010: 106-110 - [c2]Lei Liu, Qing Lu, Dehao Wu, Alistair Sambell, Edward Korolkiewicz:
Determination of the transformers turn ratios and design of a circular polarised cross slot coupled antenna. CSNDSP 2010: 115-118 - [c1]Dehao Wu, Edward Korolkiewicz, Qing Lu, Lei Liu:
To design and model a class F amplifier and investigate the effect of losses on the efficiency of dc to ac power conversion. CSNDSP 2010: 119-122
Coauthor Index
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last updated on 2024-12-23 20:30 CET by the dblp team
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