OUYANG TINGHUI (Tinghui Ouyang) - マイポータル

基本情報

所属: 筑波大学

ORCID iD: https://orcid.org/0000-0002-9234-9132
J-GLOBAL ID: 202101014123363030
researchmap会員ID: R000028035

研究キーワード

研究分野

情報通信 / 計算科学 /

経歴

2023年4月 - 2024年3月

国立情報学研究所
2019年12月 - 2023年3月

国立研究開発法人産業技術総合研究所
2018年12月 - 2019年11月

Nanyang Technological University, School of Electrical and Electronic Engineering, Research Fellow
2017年9月 - 2018年9月

University of Alberta, Department of Electrical and Computer Engineering, Postdoctoral Research Fellow

学歴

2012年9月 - 2017年6月

School of Electrical Engineering/Wuhan University
2008年9月 - 2012年6月

School of Electrical Engineering/Wuhan University

委員歴

2020年10月 - 現在

IEEE, Member

論文

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

Tinghui Ouyang, Yoshiki Seo, Isao Echizen

Knowledge-Based Systems 2025年2月
Risk-Regularization Optimization for Learning Wind Power Curve

Zhi Zhang, Tinghui Ouyang, Xun Shen

IEEE Transactions on Emerging Topics in Computational Intelligence 2025年
Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction

Zhenhao Tang, Mengxuan Sui, Xu Wang, Wenyuan Xue, Yuan Yang, Zhi Wang, Tinghui Ouyang

Energy 299 2024年7月15日
Sample-Based Continuous Approximate Method for Constructing Interval Neural Network

Xun Shen, Tinghui Ouyang, Kazumune Hashimoto, Yuhu Wu

IEEE Transactions on Neural Networks and Learning Systems 1-14 2024年査読有り
Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance.

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

CoRR abs/2401.07441 2024年
Chance-Constrained Abnormal Data Cleaning for Robust Classification With Noisy Labels

Xun Shen, Zhaojie Luo, Yuanchao Li, Tinghui Ouyang, Yuhu Wu

IEEE Transactions on Emerging Topics in Computational Intelligence 2024年
Fuzzy rule-based anomaly detectors construction via information granulation

Tinghui Ouyang, Xinhui Zhang

Information Sciences 622 985-998 2023年4月
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems

Xun Shen, Tinghui Ouyang, Yahui Zhang, Xingguo Zhang

IEEE Transactions on Emerging Topics in Computational Intelligence 7(1) 285-290 2023年2月1日
Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs

Xun Shen, Tinghui Ouyang, Nan Yang, Jiancang Zhuang

IEEE Transactions on Neural Networks and Learning Systems 34(2) 1058-1065 2023年2月1日
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-May 4709-4714 2023年
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance

Tinghui Ouyang, Isao Echizen, Yoshiki Seo

Proceedings - Asia-Pacific Software Engineering Conference, APSEC abs/2310.07998 458-464 2023年
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 - Asia-Pacific Software Engineering Conference, APSEC abs/2310.05312 450-457 2023年
DBSCAN-based granular descriptors for rule-based modeling

Tinghui Ouyang, Xinhui Zhang

Soft Computing 26(24) 13249-13262 2022年12月
Deep Learning Models for SO<inf>2</inf>Distribution in a 30 MW Boiler via Computational Fluid Dynamics Simulation Data

Zhenhao Tang, Hongrui Dong, Chong Zhang, Shengxian Cao, Tinghui Ouyang

ACS Omega 7(46) 41943-41955 2022年11月22日
A wind turbine bearing fault diagnosis method based on fused depth features in time–frequency domain

Zhenhao Tang, Mengjiao Wang, Tinghui Ouyang, Fei Che

Energy Reports 8 12727-12739 2022年11月
Granular Description of Uncertain Data for Classification Rules in Three-Way Decision

Xinhui Zhang, Tinghui Ouyang

Applied Sciences (Switzerland) 12(22) 2022年11月
Auto-encoder-extreme learning machine model for boiler NOx emission concentration prediction

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

Energy 256 2022年10月1日
Structural rule-based modeling with granular computing

Tinghui Ouyang

Applied Soft Computing 128 109519-109519 2022年10月
Extension of DBSCAN in Online Clustering: An Approach Based on Three-Layer Granular Models

Xinhui Zhang, Xun Shen, Tinghui Ouyang

Applied Sciences (Switzerland) 12(19) 2022年10月
Editorial: Advanced Anomaly Detection Technologies and Applications in Energy Systems

Tinghui Ouyang, Xun Shen, Yusen He, Zhenhao Tang, Yahui Zhang

Frontiers in Energy Research 10 2022年8月23日

もっとみる

共同研究・競争的資金等の研究課題

Advanced deep graph neural networks for explainable anomaly detection study

Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists 2022年4月 - 2025年3月