Tinghui Ouyang

According to our database, Tinghui Ouyang authored at least 32 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Textual out-of-distribution (OOD) detection for LLM quality assurance.

Tinghui Ouyang, Yoshiki Seo, Isao Echizen

Knowl. Based Syst., 2025

2024

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

Tinghui Ouyang, AprilPyone MaungMaung, Koichi Konishi, Yoshiki Seo, Isao Echizen

CoRR, 2024

Neural architecture search via similarity adaptive guidance.

Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, Xiao Wang

Appl. Soft Comput., 2024

Textual Out-of-Distribution Data Detection Based on Granular Dictionary.

Tinghui Ouyang, Toshiyuki Amagasa

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Fuzzy rule-based anomaly detectors construction via information granulation.

Tinghui Ouyang, Xinhui Zhang

Inf. Sci., April, 2023

Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs.

Xun Shen, Tinghui Ouyang, Nan Yang, Jiancang Zhuang

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Computing Probabilistic Bounds on State Trajectories for Uncertain Systems.

Xun Shen, Tinghui Ouyang, Yahui Zhang, Xingguo Zhang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

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

Tinghui Ouyang, Hoang-Quoc Nguyen-Son, Huy H. Nguyen, Isao Echizen, Yoshiki Seo

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

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

Tinghui Ouyang, Isao Echizen, Yoshiki Seo

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

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

Xun Shen, Tinghui Ouyang, Yuhu Wu

Proceedings of the American Control Conference, 2023

2022

DBSCAN-based granular descriptors for rule-based modeling.

Tinghui Ouyang, Xinhui Zhang

Soft Comput., December, 2022

Online structural clustering based on DBSCAN extension with granular descriptors.

Tinghui Ouyang, Xun Shen

Inf. Sci., 2022

Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction.

Zhenhao Tang, Shikui Wang, Xiangying Chai, Shengxian Cao, Tinghui Ouyang, Yang Li

CoRR, 2022

Structural rule-based modeling with granular computing.

Tinghui Ouyang

Appl. Soft Comput., 2022

Representation learning based on hybrid polynomial approximated extreme learning machine.

Tinghui Ouyang, Xun Shen

Appl. Intell., 2022

Autonomous driving quality assurance with data uncertainty analysis.

Tinghui Ouyang, Yoshinao Isobe, Saïma Sultana, Yoshiki Seo, Yutaka Oiwa

Proceedings of the International Joint Conference on Neural Networks, 2022

Quality assurance study with mismatched data in sentiment analysis.

Tinghui Ouyang, Yoshiki Seo, Yutaka Oiwa

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021

NOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networks.

Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Guang-Bin Huang, Qi-Jie Wang

IEEE Trans. Instrum. Meas., 2021

Granular Description of Data Structures: A Two-Phase Design.

Tinghui Ouyang, Witold Pedrycz, Orion Fausto Reyes-Galaviz, Nick J. Pizzi

IEEE Trans. Cybern., 2021

Rule-Based Modeling With DBSCAN-Based Information Granules.

Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi

IEEE Trans. Cybern., 2021

Feature learning for stacked ELM via low-rank matrix factorization.

Tinghui Ouyang

Neurocomputing, 2021

Randomized Computation for the Current Stress Policy Design in the DAB Converter.

Xun Shen, Tinghui Ouyang, Zhengxi Chen, Shuang Zhao, Jiaxin Fang, Yahui Zhang

IEEE Control. Syst. Lett., 2021

Corner case data description and detection.

Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo

CoRR, 2021

Corner Case Data Description and Detection.

Tinghui Ouyang, Vicent Sanz Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

AI robustness analysis with consideration of corner cases.

Tinghui Ouyang, Yoshinao Isobe, Vicent Sanz Marco, Jun Ogata, Yoshiki Seo, Yutaka Oiwa

Proceedings of the 2021 IEEE International Conference on Artificial Intelligence Testing, 2021

2020

Cooperative Comfortable-Driving at Signalized Intersections for Connected and Automated Vehicles.

Xun Shen, Xingguo Zhang, Tinghui Ouyang, Yuanchao Li, Pongsathorn Raksincharoensak

IEEE Robotics Autom. Lett., 2020

Hybrid Ensemble Framework for Short-Term Wind Speed Forecasting.

Zhenhao Tang, Gengnan Zhao, Gong Wang, Tinghui Ouyang

IEEE Access, 2020

2019

Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network.

Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach.

Tinghui Ouyang, Yusen He, Heming Huang

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Quantitative Analysis of Gas Phase IR Spectra Based on Extreme Learning Machine Regression Model.

Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Bo Liedberg, Guang-Bin Huang, Qi-Jie Wang

Sensors, 2019

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

Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi

Expert Syst. Appl., 2019

2017

A Deep Learning Framework for Short-term Power Load Forecasting.

Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek

CoRR, 2017