Tinghui OUYANG

Publications

[2024]

Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction

Z Tang, M Sui, X Wang, W Xue, Y Yang, Z Wang, T Ouyang

Energy 299, 131500

Sample-Based Continuous Approximate Method for Constructing Interval Neural Network

X Shen, T Ouyang, K Hashimoto, Y Wu

IEEE Transactions on Neural Networks and Learning Systems

Neural architecture search via similarity adaptive guidance

Y Xue, J Zha, M Wahib, T Ouyang, X Wang

Applied Soft Computing, 111821

Chance-Constrained Abnormal Data Cleaning for Robust Classification With Noisy Labels

X Shen, Z Luo, Y Li, T Ouyang, Y Wu

IEEE Transactions on Emerging Topics in Computational Intelligence

Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance

T Ouyang, AP MaungMaung, K Konishi, Y Seo, I Echizen

arXiv preprint arXiv:2401.07441

[2023]

A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance

T Ouyang, I Echizen, Y Seo

2023 30th Asia-Pacific Software Engineering Conference (APSEC), 458 - 464

Quality Assurance of A GPT-based Sentiment Analysis System: Adversarial Review Data Generation and Detection

T Ouyang, HQ Nguyen-Son, HH Nguyen, I Echizen, Y Seo

2023 30th Asia-Pacific Software Engineering Conference (APSEC), 450-457

Approximate Confidence Region of State Prediction in Stochastic Dynamical Discrete-Time Systems

X Shen, T Ouyang, Y Wu

2023 American Control Conference (ACC), 4709-4714

Fuzzy rule-based anomaly detectors construction via information granulation

T Ouyang, X Zhang

Information Sciences 622, 985-998

Condition monitoring for renewable energy systems, volume II

Y He, AWH Lio, T Ouyang, X Shen, S Zhao

Frontiers Media SA

[2022]

Quality assurance study with mismatched data in sentiment analysis

T Ouyang, Y Seo, Y Oiwa

2022 29th Asia-Pacific Software Engineering Conference (APSEC), 442-446

DBSCAN-based granular descriptors for rule-based modeling

T Ouyang, X Zhang

Soft Computing 26 (24), 13249-13262

Deep Learning Models for SO2 Distribution in a 30 MW Boiler via Computational Fluid Dynamics Simulation Data

Z Tang, H Dong, C Zhang, S Cao, T Ouyang

ACS omega 7 (46), 41943-41955

Granular Description of Uncertain Data for Classification Rules in Three-Way Decision

X Zhang, T Ouyang*

Applied Sciences 12 (22), 11381

A wind turbine bearing fault diagnosis method based on fused depth features in time–frequency​ domain

Z Tang, M Wang, T Ouyang, F Che

Energy Reports 8, 12727-12739

Advanced Anomaly Detection Technologies and Applications in Energy Systems

T Ouyang, Y He, X Shen, Z Tang, Y Zhang

Frontiers Media SA

Structural rule-based modeling with granular computing

T Ouyang

Applied Soft Computing 128, 109519

Auto-encoder-extreme learning machine model for boiler NOx emission concentration prediction

Z Tang, S Wang, X Chai, S Cao, T Ouyang, Y Li

Energy 256, 124552

DBSCAN-based granular descriptors for rule-based modeling

T Ouyang, X Zhang

Soft Computing, 1-14

Extension of DBSCAN in Online Clustering: An Approach Based on Three-Layer Granular Models

X Zhang, X Shen, T Ouyang*

Applied Sciences 12 (19), 9402

Autonomous driving quality assurance with data uncertainty analysis

T Ouyang, Y Isobe, S Sultana, Y Seo, Y Oiwa

2022 International Joint Conference on Neural Networks (IJCNN), 1-7

Online Structural Clustering Based on DBSCAN Extension with Granular Descriptors

T Ouyang, X Shen

Information Sciences 607, 688-704

Representation learning based on hybrid polynomial approximated extreme learning machine

T Ouyang, X Shen

Applied Intelligence 52 (7), 8321-8336

Advanced Anomaly Detection Technologies and Applications in Energy Systems

T Ouyang, X Shen, Y He, Z Tang, Y Zhang

Frontiers in Energy Research, 1095

Sequential Detection of Microgrid Bad Data via a Data-Driven Approach Combining Online Machine Learning with Statistical Analysis

H Huang, F Liu, T Ouyang, X Zha

Frontiers in Energy Research, 639

[2021]

AI robustness analysis with consideration of corner cases

T Ouyang, Y Isobe, VS Marco, J Ogata, Y Seo, Y Oiwa

2021 IEEE International Conference on Artificial Intelligence Testing (AITest)

Feature learning for stacked ELM via low-rank matrix factorization

T Ouyang

Neurocomputing 448, 82-93

Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs

X Shen, T Ouyang, N Yang, J Zhuang

IEEE Transactions on Neural Networks and Learning Systems

Corner case data description and detection

T Ouyang, VS Marco, Y Isobe, H Asoh, Y Oiwa, Y Seo

2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI (WAIN)

Two-phase Deep Learning Model for Short-term Wind Direction Forecasting

Z Tang, G Zhao, T Ouyang*

Renewable Energy 173, 1005-1016

Mixture density networks-based knock simulator

X Shen, T Ouyang, C Khajorntraidet, Y Li, S Li, J Zhuang

IEEE/ASME Transactions on Mechatronics

Improved Surprise Adequacy Tools for Corner Case Data Description and Detection

T Ouyang, VS Marco, Y Isobe, H Asoh, Y Oiwa, Y Seo

Applied Sciences 11 (15), 6826

[2020]

Computing probabilistic bounds on state trajectories for uncertain systems

X Shen, T Ouyang, Y Zhang, X Zhang

IEEE Transactions on Emerging Topics in Computational Intelligence

Cooperative comfortable-driving at signalized intersections for connected and automated vehicles

X Shen, X Zhang, T Ouyang, Y Li, P Raksincharoensak

IEEE Robotics and Automation Letters 5 (4), 6247-6254

NOx measurements in vehicle exhaust using advanced deep ELM networks

T Ouyang, C Wang, Z Yu, R Stach, B Mizaikoff, GB Huang, QJ Wang

IEEE Transactions on Instrumentation and Measurement 70, 1-10

Randomized computation for the current stress policy design in the DAB converter

X Shen, T Ouyang, Z Chen, S Zhao, J Fang, Y Zhang

IEEE Control Systems Letters 5 (3), 863-868

Hybrid ensemble framework for short-term wind speed forecasting

Z Tang, G Zhao, G Wang, T Ouyang

IEEE Access 8, 45271-45291

Statistical Simulator for the Engine Knock

X Shen, T Ouyang, J Zhuang, C Khajorntraidet

arXiv preprint arXiv:2002.06503

Chaotic wind power time series prediction via switching data-driven modes

T Ouyang, H Huang, Y He, Z Tang

Renewable Energy 145, 270-281

[2019]

Ramp events forecasting based on long-term wind power prediction and correction

T Ouyang, H Huang, Y He

IET Renewable Power Generation 13 (15), 2793-2801

Prediction of wind power ramp events based on residual correction

T Ouyang, X Zha, L Qin, Y He, Z Tang

Renewable Energy 136, 781-792

Record linkage based on a three-way decision with the use of granular descriptors

T Ouyang, W Pedrycz, NJ Pizzi

Expert Systems with Applications 122, 16-26

Modeling and forecasting short-term power load with copula model and deep belief network

T Ouyang, Y He, H Li, Z Sun, S Baek

IEEE Transactions on Emerging Topics in Computational Intelligence 3 (2), 127-136

Rule-based modeling with DBSCAN-based information granules

T Ouyang, W Pedrycz, NJ Pizzi

IEEE Transactions on Cybernetics 51 (7), 3653-3663

Advanced wind power prediction based on data-driven error correction

J Yan, T Ouyang*

Energy conversion and management 180, 302-311

Quantitative analysis of gas phase IR spectra based on extreme learning machine regression model

T Ouyang, C Wang, Z Yu, R Stach, B Mizaikoff, B Liedberg, GB Huang, ...

Sensors 19 (24), 5535

Granular description of data structures: A two-phase design

T Ouyang, W Pedrycz, OF Reyes-Galaviz, NJ Pizzi

IEEE Transactions on Cybernetics 51 (4), 1902-1912

[2018]

Monitoring wind turbines' unhealthy status: a data-driven approach

T Ouyang, Y He, H Huang

IEEE Transactions on Emerging Topics in Computational Intelligence 3 (2 …

Robust bad data detection method for microgrid using improved ELM and DBSCAN algorithm

H Huang, F Liu, X Zha, X Xiong, T Ouyang, W Liu, M Huang

Journal of Energy Engineering 144 (3), 04018026

Short-term wind power prediction method based on dynamic wind power weather division of time sequence data

X Yindi, LIU Kaipei, QIN Liang, O Tinghui, HE Jiayi

Power Syst. Technol. 43 (9), 3353-3359

[2017]

A deep learning framework for short-term power load forecasting

T Ouyang, Y He, H Li, Z Sun, S Baek

arXiv preprint arXiv:1711.11519

Model of selecting prediction window in ramps forecasting

T Ouyang, X Zha, L Qin, Y Xiong, H Huang

Renewable Energy 108, 98-107

Optimisation of time window size for wind power ramps prediction

T Ouyang, X Zha, L Qin, A Kusiak

IET Renewable Power Generation 11 (8), 1270-1277

Research on wind power ramp events prediction based on strongly convective weather classification

Y Xiong, X Zha, L Qin, T Ouyang, T Xia

IET Renewable Power Generation 11 (8), 1278-1285

A combined multivariate model for wind power prediction

T Ouyang, X Zha, L Qin

Energy Conversion and Management 144, 361-373

Data-driven modeling of truck engine exhaust valve failures: a case study

Y He, A Kusiak, T Ouyang, W Teng

Journal of Mechanical Science and Technology 31 (6), 2747-2757

Predictive model of yaw error in a wind turbine

T Ouyang, A Kusiak, Y He

Energy 123, 119-130

Modeling wind-turbine power curve: A data partitioning and mining approach

T Ouyang, A Kusiak, Y He

Renewable Energy 102, 1-8

Wind power ramps prediction method based on amendment of similar events

T Ouyang, X Zha, L Qin, Y Xiong, H Huang

Proceedings of the CSEE 37 (2), 572-580

[2016]

Selection of time window for wind power ramp prediction based on risk model

X Zha, T Ouyang*, L Qin, Y Xiong, H Huang

Energy Conversion and Management 126, 748-758

Wind power prediction method based on regime of switching kernel functions

T Ouyang, X Zha, L Qin, Y Xiong, T Xia

Journal of Wind Engineering and Industrial Aerodynamics 153, 26-33