Yiliao Song
Yiliao Song
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Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
J Wang, Y Song, F Liu, R Hou
Renewable and Sustainable Energy Reviews 60, 960-981, 2016
A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting
P Jiang, F Liu, Y Song
Energy 119, 694-709, 2017
Regional concept drift detection and density synchronized drift adaptation
A Liu, Y Song, G Zhang, J Lu
IJCAI International Joint Conference on Artificial Intelligence, 2017
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system
J Wang, F Liu, Y Song, J Zhao
Applied Soft Computing 48, 281-297, 2016
Development of a hybrid model to predict construction and demolition waste: China as a case study
Y Song, Y Wang, F Liu, Y Zhang
Waste Management 59, 350-361, 2017
The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region
Y Song, S Qin, J Qu, F Liu
Atmospheric Environment 118, 58-69, 2015
Data-driven decision support under concept drift in streamed big data
J Lu, A Liu, Y Song, G Zhang
Complex & intelligent systems 6 (1), 157-163, 2020
Interval forecasts of a novelty hybrid model for wind speeds
S Qin, F Liu, J Wang, Y Song
Energy Reports 1, 8-16, 2015
Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2. 5) levels using association rules: A case study of the Jing-Jin-Ji region, China
S Qin, F Liu, C Wang, Y Song, J Qu
Atmospheric Environment 120, 339-350, 2015
Fuzzy clustering-based adaptive regression for drifting data streams
Y Song, J Lu, H Lu, G Zhang
IEEE Transactions on Fuzzy Systems 28 (3), 544-557, 2019
Cuckoo search-designated fractal interpolation functions with winner combination for estimating missing values in time series
P Jiang, F Liu, J Wang, Y Song
Applied Mathematical Modelling 40 (23-24), 9692-9718, 2016
Pre-selectable Optical Fingerprints of Heterogeneous Upconversion Nanoparticles
J Liao, Jiayan and Zhou, Jiajia and Song, Yiliao and Liu, Baolei and Chen ...
Nano Letters, 2021
A segment-based drift adaptation method for data streams
Y Song, J Lu, A Liu, H Lu, G Zhang
IEEE transactions on neural networks and learning systems 33 (9), 4876-4889, 2021
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation
K Wang, J Lu, A Liu, Y Song, L Xiong, G Zhang
Neurocomputing 491, 288-304, 2022
Learning data streams with changing distributions and temporal dependency
Y Song, J Lu, H Lu, G Zhang
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 3952-3965, 2021
Concept drift detection delay index
A Liu, J Lu, Y Song, J Xuan, G Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4585-4597, 2022
A hybrid multi-step model for forecasting day-ahead electricity price based on optimization, fuzzy logic and model selection
P Jiang, F Liu, Y Song
Energies 9 (8), 618, 2016
Multiplexed structured illumination super-resolution imaging with lifetime-engineered upconversion nanoparticles
B Liu, J Liao, Y Song, C Chen, L Ding, J Lu, J Zhou, F Wang
Nanoscale Advances 4 (1), 30-38, 2022
Optical fingerprint classification of single upconversion nanoparticles by deep learning
J Liao, J Zhou, Y Song, B Liu, J Lu, D Jin
The Journal of Physical Chemistry Letters 12 (41), 10242-10248, 2021
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams
E Yu, Y Song, G Zhang, J Lu
Neurocomputing 496, 121-130, 2022
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