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ORCIDJinran Wu
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2020 – today
- 2024
[j32]Yang Yang, Hao Lou, Zijin Wang, Jinran Wu
:
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting. Appl. Intell. 54(17-18): 8745-8760 (2024)- [j31]Jinran Wu, You-Gan Wang, Hao Zhang:
Augmented support vector regression with an autoregressive process via an iterative procedure. Appl. Soft Comput. 158: 111549 (2024) - [j30]Xi-An Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang:
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. Comput. Math. Appl. 159: 60-75 (2024) - [j29]Yang Yang, Zijin Wang, Shangrui Zhao, Hu Zhou, Jinran Wu:
Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting. Eng. Appl. Artif. Intell. 138: 109453 (2024) - [j28]Siyuan Liu, Jiaxin Deng, Jin Yuan, Weide Li, Xi'an Li, Jing Xu, Shaotong Zhang, Jinran Wu, You-Gan Wang:
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Sci. Informatics 17(6): 5135-5148 (2024) - [j27]Xi-An Li, Jinran Wu, Xin Tai, Jianhua Xu, You-Gan Wang:
Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. J. Comput. Phys. 508: 113012 (2024) - [j26]Yang Yang, Yuchao Gao, Zijin Wang, Xi'an Li, Hu Zhou, Jinran Wu:
Multiscale-integrated deep learning approaches for short-term load forecasting. Int. J. Mach. Learn. Cybern. 15(12): 6061-6076 (2024) - [j25]Yang Yang, Hao Lou, Jinran Wu, Shaotong Zhang, Shangce Gao:
A survey on wind power forecasting with machine learning approaches. Neural Comput. Appl. 36(21): 12753-12773 (2024) - [j24]Yang Yang, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You-Gan Wang:
Advancements in Q-learning meta-heuristic optimization algorithms: A survey. WIREs Data. Mining. Knowl. Discov. 14(6) (2024) - [i6]Jin Yuan, Xuelan Qiu, Jinran Wu, Jiesi Guo, Weide Li, You-Gan Wang:
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study. CoRR abs/2406.11847 (2024) - [i5]Yilong Hou, Xi'an Li, Jinran Wu:
Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise. CoRR abs/2408.09340 (2024) - 2023
- [j23]Shangrui Zhao, Zhen Yang, Shaotong Zhang, Jinran Wu, Zixi Zhao, Dong-Sheng Jeng, You-Gan Wang:
Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecol. Informatics 78: 102385 (2023) - [j22]Shangrui Zhao, Yulu Wu, Shuang Tan, Jinran Wu, Zhesen Cui, You-Gan Wang:
QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm. Expert Syst. Appl. 213(Part): 119246 (2023) - [j21]Shangrui Zhao, Xuan-Ang Chen, Jinran Wu, You-Gan Wang:
Mixture extreme learning machine algorithm for robust regression. Knowl. Based Syst. 280: 111033 (2023) - [j20]Jinran Wu, You-Gan Wang:
A working likelihood approach to support vector regression with a data-driven insensitivity parameter. Int. J. Mach. Learn. Cybern. 14(3): 929-945 (2023) - [j19]You-Gan Wang, Jinran Wu, Zhi-Hua Hu, Geoffrey J. McLachlan:
A new algorithm for support vector regression with automatic selection of hyperparameters. Pattern Recognit. 133: 108989 (2023) - [j18]Zihan Hao, Weide Li, Jinran Wu, Shaotong Zhang, Shujuan Hu:
A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction. Remote. Sens. 15(4): 900 (2023) - [j17]Jinran Wu, You-Gan Wang:
Iterative Learning in Support Vector Regression With Heterogeneous Variances. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 513-522 (2023) - [j16]Yang Yang, Xin Fan, Weinan Gao, Wenbin Yue, Aaron Liu, Shuocong Geng, Jinran Wu:
Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming. IEEE Trans. Fuzzy Syst. 31(9): 3148-3160 (2023) - [j15]Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, Yu-Chu Tian, Dong Yue, You-Gan Wang:
Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5658-5669 (2023) - [i4]Jiaxin Deng, Xi'an Li, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang:
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. CoRR abs/2306.12749 (2023) - [i3]Xi-An Li, Jinran Wu, Zhi-Qin John Xu, You-Gan Wang:
Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks. CoRR abs/2306.13385 (2023) - [i2]Xi'an Li, Jinran Wu, Jiaxin Deng, Zhe Ding, You-Gan Wang, Xin Tai, Liang Liu:
Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes. CoRR abs/2310.13947 (2023) - 2022
- [j14]Yang Yang, Xiaorui Xi, Songtao Miao, Jinran Wu:
Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems. Appl. Math. Comput. 418: 126817 (2022) - [j13]Yang Yang, Zhenghang Tao, Chen Qian, Yuchao Gao, Hu Zhou, Zhe Ding, Jinran Wu:
A hybrid robust system considering outliers for electric load series forecasting. Appl. Intell. 52(2): 1630-1652 (2022) - [j12]Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, You-Gan Wang:
Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. Appl. Soft Comput. 122: 108814 (2022) - [j11]Yang Yang, Yuchao Gao, Shuang Tan, Shangrui Zhao, Jinran Wu, Shangce Gao, Tengfei Zhang, Yu-Chu Tian, You-Gan Wang:
An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Eng. Appl. Artif. Intell. 113: 104981 (2022) - [j10]Shangrui Zhao, Qingyue Wu, Yueyi Zhang, Jinran Wu, Xi-An Li:
An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting. Expert Syst. Appl. 210: 118467 (2022) - [j9]Yang Yang, Hu Zhou, Yuchao Gao, Jinran Wu, You-Gan Wang, Liya Fu:
Robust penalized extreme learning machine regression with applications in wind speed forecasting. Neural Comput. Appl. 34(1): 391-407 (2022) - [j8]Yang Yang, Chen Qian, Haomiao Li, Yuchao Gao, Jinran Wu, Chan-Juan Liu, Shangrui Zhao:
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning. J. Supercomput. 78(18): 19566-19604 (2022) - 2021
- [j7]Zhiyou Ouyang, Xu Zhai, Jinran Wu, Jian Yang, Dong Yue, Chunxia Dou, Tengfei Zhang:
A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble. Comput. Secur. 103: 102178 (2021) - [j6]Shaotong Zhang, Jinran Wu, Yonggang Jia, You-Gan Wang, Yaqi Zhang, Qibin Duan:
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. Eng. Appl. Artif. Intell. 100: 104206 (2021) - [j5]Yang Yang, Xin Fan, Chuang Xu, Jinran Wu, Baohua Sun:
State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach. Neurocomputing 458: 284-296 (2021) - [j4]Zhesen Cui, Jinran Wu, Zhe Ding, Qibin Duan, Wei Lian, Yang Yang, Taoyun Cao:
A hybrid rolling grey framework for short time series modelling. Neural Comput. Appl. 33(17): 11339-11353 (2021) - 2020
- [j3]Jinran Wu, You-Gan Wang, Kevin Burrage, Yu-Chu Tian, Brodie Lawson, Zhe Ding:
An improved firefly algorithm for global continuous optimization problems. Expert Syst. Appl. 149: 113340 (2020) - [j2]Yang Yang, Jingzhi Ge, Dong Yue, Qing Meng, Jinran Wu:
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism. Neurocomputing 403: 304-313 (2020) - [c3]Zhesen Cui, Xiaolei Hou, Hu Zhou, Wei Lian, Jinran Wu:
Modified Slime Mould Algorithm via Levy Flight. CISP-BMEI 2020: 1109-1113 - [c2]Bingquan Zhang, Yang Yang, Dengli Zhao, Jinran Wu:
A robust decomposition-ensemble framework for wind speed forecasting. ICARCV 2020: 287-290 - [c1]Jinran Wu, Zhe Ding:
Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting. IEA/AIE 2020: 199-209 - [i1]Jinran Wu, You-Gan Wang:
A working likelihood approach to support vector regression with a data-driven insensitivity parameter. CoRR abs/2003.03893 (2020)
2010 – 2019
- 2017
- [j1]Weide Li, Demeng Kong, Jinran Wu:
A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China. Comput. Intell. Neurosci. 2017: 2843651:1-2843651:11 (2017)
Coauthor Index
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