Tinghui Ouyang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Information Granules

Regression Model

Quality Assurance

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

IEEE Trans. Cybern.

Publications

Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, Xiao Wang
Neural architecture search via similarity adaptive guidance. Appl. Soft Comput. 162 (2024)
Tinghui Ouyang, AprilPyone MaungMaung, Koichi Konishi, Yoshiki Seo, Isao Echizen
Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance. CoRR (2024)
Xun Shen, Tinghui Ouyang, Yahui Zhang, Xingguo Zhang
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Tinghui Ouyang, Isao Echizen, Yoshiki Seo
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance. CoRR (2023)
Xun Shen, Tinghui Ouyang, Yuhu Wu
Approximate Confidence Region of State Prediction in Stochastic Dynamical Discrete-Time Systems. ACC (2023)
Tinghui Ouyang, Isao Echizen, Yoshiki Seo
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance. APSEC (2023)
Tinghui Ouyang, Xinhui Zhang
Fuzzy rule-based anomaly detectors construction via information granulation. Inf. Sci. 622 (2023)
Tinghui Ouyang, Hoang-Quoc Nguyen-Son, Huy H. Nguyen, Isao Echizen, Yoshiki Seo
Quality Assurance of A GPT-Based Sentiment Analysis System: Adversarial Review Data Generation and Detection. APSEC (2023)
Xun Shen, Tinghui Ouyang, Nan Yang, Jiancang Zhuang
Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Tinghui Ouyang, Hoang-Quoc Nguyen-Son, Huy H. Nguyen, Isao Echizen, Yoshiki Seo
Quality Assurance of A GPT-based Sentiment Analysis System: Adversarial Review Data Generation and Detection. CoRR (2023)
Tinghui Ouyang
Structural rule-based modeling with granular computing. Appl. Soft Comput. 128 (2022)
Tinghui Ouyang, Yoshinao Isobe, Saïma Sultana, Yoshiki Seo, Yutaka Oiwa
Autonomous driving quality assurance with data uncertainty analysis. IJCNN (2022)
Tinghui Ouyang, Yoshiki Seo, Yutaka Oiwa
Quality assurance study with mismatched data in sentiment analysis. APSEC (2022)
Tinghui Ouyang, Xun Shen
Online structural clustering based on DBSCAN extension with granular descriptors. Inf. Sci. 607 (2022)
Zhenhao Tang, Shikui Wang, Xiangying Chai, Shengxian Cao, Tinghui Ouyang, Yang Li
Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction. CoRR (2022)
Tinghui Ouyang, Xinhui Zhang
DBSCAN-based granular descriptors for rule-based modeling. Soft Comput. 26 (24) (2022)
Tinghui Ouyang, Xun Shen
Representation learning based on hybrid polynomial approximated extreme learning machine. Appl. Intell. 52 (7) (2022)
Tinghui Ouyang, Witold Pedrycz, Orion Fausto Reyes-Galaviz, Nick J. Pizzi
Granular Description of Data Structures: A Two-Phase Design. IEEE Trans. Cybern. 51 (4) (2021)
Tinghui Ouyang, Yoshinao Isobe, Vicent Sanz Marco, Jun Ogata, Yoshiki Seo, Yutaka Oiwa
AI robustness analysis with consideration of corner cases. AITest (2021)
Tinghui Ouyang, Vicent Sanz Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo
Corner Case Data Description and Detection. WAIN@ICSE (2021)
Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Guang-Bin Huang, Qi-Jie Wang
NOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networks. IEEE Trans. Instrum. Meas. 70 (2021)
Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi
Rule-Based Modeling With DBSCAN-Based Information Granules. IEEE Trans. Cybern. 51 (7) (2021)
Xun Shen, Tinghui Ouyang, Zhengxi Chen, Shuang Zhao, Jiaxin Fang, Yahui Zhang
Randomized Computation for the Current Stress Policy Design in the DAB Converter. IEEE Control. Syst. Lett. 5 (3) (2021)
Tinghui Ouyang
Feature learning for stacked ELM via low-rank matrix factorization. Neurocomputing 448 (2021)
Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo
Corner case data description and detection. CoRR (2021)
Zhenhao Tang, Gengnan Zhao, Gong Wang, Tinghui Ouyang
Hybrid Ensemble Framework for Short-Term Wind Speed Forecasting. IEEE Access 8 (2020)
Xun Shen, Xingguo Zhang, Tinghui Ouyang, Yuanchao Li, Pongsathorn Raksincharoensak
Cooperative Comfortable-Driving at Signalized Intersections for Connected and Automated Vehicles. IEEE Robotics Autom. Lett. 5 (4) (2020)
Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek
Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. IEEE Trans. Emerg. Top. Comput. Intell. 3 (2) (2019)
Tinghui Ouyang, Chongwu Wang, Zhangjun Yu, Robert Stach, Boris Mizaikoff, Bo Liedberg, Guang-Bin Huang, Qi-Jie Wang
Quantitative Analysis of Gas Phase IR Spectra Based on Extreme Learning Machine Regression Model. Sensors 19 (24) (2019)
Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi
Record linkage based on a three-way decision with the use of granular descriptors. Expert Syst. Appl. 122 (2019)
Tinghui Ouyang, Yusen He, Heming Huang
Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach. IEEE Trans. Emerg. Top. Comput. Intell. 3 (2) (2019)
Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek
A Deep Learning Framework for Short-term Power Load Forecasting. CoRR (2017)