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2020 – today
- 2024
[j19]Chengjiu Zhu
, Yuyang Xie, Haidong Yang, Zhan Li, Luoke Hu, Kangkang Xu:
A nonlinear spatiotemporal modeling method combined with t-distributed stochastic neighbor embedding and broad learning system for the lithium-ion battery thermal process. Eng. Appl. Artif. Intell. 135: 108433 (2024)- [j18]Chengjiu Zhu, Haidong Yang, Xi Jin, Kangkang Xu, Hongcheng Li:
Multilayer Online Sequential Reduced Kernel Extreme Learning Machine-Based Modeling for Time-Varying Distributed Parameter Systems. IEEE Trans. Cybern. 54(1): 624-634 (2024) - [j17]Chengjiu Zhu, Haidong Yang, Xi Jin, Kangkang Xu, Wenjing Shen:
Locality Preserving Projections-Based Spatiotemporal Modeling of the Temperature Distribution of Lithium-Ion Batteries. IEEE Trans. Ind. Informatics 20(1): 179-189 (2024) - [c6]Yinian Zheng, Fang Liu, Yuan-Hsun Lo, Tsai-Lien Wong, Kangkang Xu, Yijin Zhang:
Protocol Sequences for Age of Information Under Multiple-Packet Reception. ISIT 2024: 969-974 - [c5]Yijin Zhang, Tsai-Lien Wong, Kangkang Xu, Yuan-Hsun Lo:
Mixed-Weight Conflict-Avoiding Codes. ISIT 2024: 1119-1124 - [i1]Yuan-Hsun Lo, Tsai-Lien Wong, Kangkang Xu, Yijin Zhang:
Optimal Constant-Weight and Mixed-Weight Conflict-Avoiding Codes. CoRR abs/2407.11554 (2024) - 2023
- [j16]Xi Jin, Daibiao Wu, Haidong Yang, Chengjiu Zhu, Wenjing Shen, Kangkang Xu:
A temporal-spatiotemporal domain transformation-based modeling method for nonlinear distributed parameter systems. J. Comput. Des. Eng. 10(3): 1267-1279 (2023) - [j15]Jianyang Cai, Haidong Yang, Kangkang Xu:
A novel energy consumption prediction method for chillers based on an improved support vector machine. J. Intell. Fuzzy Syst. 44(4): 6801-6816 (2023) - [j14]Kangkang Xu, Haidong Yang, Chengjiu Zhu, Xi Jin, Bi Fan, Luoke Hu:
Deep Extreme Learning Machines Based Two-Phase Spatiotemporal Modeling for Distributed Parameter Systems. IEEE Trans. Ind. Informatics 19(3): 2919-2929 (2023) - [c4]Yuan-Hsun Lo, Tsai-Lien Wong, Yijin Zhang, Yu-Chun Wang, Kangkang Xu:
Deterministic Grant-Free Access Based on the Chinese Remainder Theorem. ICC 2023: 4767-4772 - 2022
- [j13]Kangkang Xu, Yang Yu, Xu Fang:
The Detection of Open and Leakage Faults for Prebond TSV Test Based on Weak Current Source. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 2768-2779 (2022) - [j12]Kangkang Xu, Bi Fan, Haidong Yang, Luoke Hu, Wenjing Shen:
Locally Weighted Principal Component Analysis-Based Multimode Modeling for Complex Distributed Parameter Systems. IEEE Trans. Cybern. 52(10): 10504-10514 (2022) - [j11]Zhang Chen, Liqun Chen, Wenjing Shen, Kangkang Xu:
Remaining Useful Life Prediction of Lithium-Ion Battery via a Sequence Decomposition and Deep Learning Integrated Approach. IEEE Trans. Veh. Technol. 71(2): 1466-1479 (2022) - 2021
- [j10]Kangkang Xu, Xi Tan, Bi Fan, Tengfei Xiao, Xi Jin, Chengjiu Zhu:
Dual Extreme Learning Machine Based Online Spatiotemporal Modeling With Adaptive Forgetting Factor. IEEE Access 9: 67379-67390 (2021) - [c3]Kangkang Xu, Yang Yu, Xiyuan Peng:
TSV Fault Modeling and A BIST Solution for TSV Pre-bond Test. VTS 2021: 1-6 - 2020
- [j9]Yajun Fan, Kangkang Xu, Hui Wu, Ying Zheng, Bo Tao:
Spatiotemporal Modeling for Nonlinear Distributed Thermal Processes Based on KL Decomposition, MLP and LSTM Network. IEEE Access 8: 25111-25121 (2020) - [j8]Wenjing Shen, Kangkang Xu, Liming Deng, Shupeng Zhang:
A Karhunen-Loeve Galerkin Online Modeling Approach for the Thermal Dynamics of Li-Ion Batteries. IEEE Access 8: 187893-187901 (2020) - [j7]Kang-Kang Xu, Haidong Yang, Cheng-Jiu Zhu, Luoke Hu:
Finite Gaussian Mixture Model Based Multimodeling for Nonlinear Distributed Parameter Systems. IEEE Trans. Ind. Informatics 16(3): 1754-1763 (2020)
2010 – 2019
- 2019
- [j6]Kang-Kang Xu, Hai-Dong Yang, Cheng-Jiu Zhu:
A novel extreme learning Machine-based Hammerstein-Wiener model for complex nonlinear industrial processes. Neurocomputing 358: 246-254 (2019) - [j5]Wen-Jing Huang, Yi-Hua Li, Kang-Kang Xu:
The general probabilistic fuzzy set for modeling and its application in EMG robots. J. Intell. Fuzzy Syst. 37(2): 2087-2100 (2019) - [j4]Kang-Kang Xu, Han-Xiong Li, Hai-Dong Yang:
Kernel-Based Random Vector Functional-Link Network for Fast Learning of Spatiotemporal Dynamic Processes. IEEE Trans. Syst. Man Cybern. Syst. 49(5): 1016-1026 (2019) - [c2]Yang Yu, Zhiming Yang, Kangkang Xu:
A Post-Bond TSVs Test Solution for Leakage Fault. ITC-Asia 2019: 127-132 - 2018
- [j3]Xu Fang, Yang Yu, Kangkang Xu, Xiyuan Peng:
TSV-Defect Modeling, Detection and Diagnosis Based on 3-D Full Wave Simulation and Parametric Measurement. IEEE Access 6: 72415-72426 (2018) - [j2]Kang-Kang Xu, Han-Xiong Li, Hai-Dong Yang:
Local-Properties-Embedding-Based Nonlinear Spatiotemporal Modeling for Lithium-Ion Battery Thermal Process. IEEE Trans. Ind. Electron. 65(12): 9767-9776 (2018) - [j1]Kang-Kang Xu, Han-Xiong Li, Zhen Liu:
ISOMAP-Based Spatiotemporal Modeling for Lithium-Ion Battery Thermal Process. IEEE Trans. Ind. Informatics 14(2): 569-577 (2018) - 2017
- [c1]Kang-Kang Xu, Han-Xiong Li:
An adaptive spatiotemporal modeling method for curing thermal process. SMC 2017: 3296-3301
Coauthor Index
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