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OUYANG Tinghui

ALUMNI 2025年6月現在、筑波大学が主たる所属機関ではありません

OUYANG, Tinghui

筑波大学
University of Tsukuba , Assistant Professor

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

21. Sequential Detection of Microgrid Bad Data via a Data-Driven Approach Combining Online Machine Learning With Statistical Analysis Heming Huang; Fei Liu; Tinghui Ouyang; Xiaoming Zha
Frontiers in Energy Research 10: (2022)
22. Representation learning based on hybrid polynomial approximated extreme learning machine Tinghui Ouyang; Xun Shen
Applied Intelligence 52: 8321 (2022)
23. Mixture Density Networks-Based Knock Simulator Xun Shen; Tinghui Ouyang; Chanyut Khajorntraidet; Yuanchao Li (+1 著者) Jiancang Zhuang
IEEE/ASME Transactions on Mechatronics 27: 159 (2022)
24. Autonomous driving quality assurance with data uncertainty analysis Tinghui Ouyang; Yoshinao Isobe; Saima Sultana; Yoshiki SeoYutaka Oiwa
Proceedings of the International Joint Conference on Neural Networks 2022-July: 1 (2022)
25. Quality assurance study with mismatched data in sentiment analysis Tinghui Ouyang; Yoshiki Seo; Yutaka Oiwa
Proceedings - Asia-Pacific Software Engineering Conference, APSEC 2022-December: 442 (2022)
26. A data analystic based hybrid wind direction prediction algorithm Zhenhao Tang; Gengnan Zhao; Shengxian Cao; Tinghui Ouyang (+1 著者) Xiaoya Pang
Taiyangneng Xuebao/Acta Energiae Solaris Sinica 42: 349 (2021)
27. AI robustness analysis with consideration of corner cases Tinghui Ouyang; Yoshinao Isobe; Vicent Sanz Marco; Jun Ogata (+1 著者) Yutaka Oiwa
Proceedings - 3rd IEEE International Conference on Artificial Intelligence Testing, AITest 2021 29 (2021)
28. Improved Surprise Adequacy Tools for Corner Case Data Description and Detection Tinghui Ouyang; Vicent Sanz Marco; Yoshinao Isobe; Hideki Asoh (+1 著者) Yoshiki Seo
Applied Sciences 11: (2021)
29. Corner case data description and detection Tinghui Ouyang; Vicent Sanz Marco; Yoshinao Isobe; Hideki Asoh (+1 著者) Yoshiki Seo
Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021 abs/2101.02494: 19 (2021)
30. Granular Description of Data Structures: A Two-Phase Design Tinghui Ouyang
IEEE Transactions on Cybernetics 51: 1902 (2021)
31. NOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networks Tinghui Ouyang
IEEE Transactions on Instrumentation and Measurement 70: 1 (2021)
32. Feature learning for stacked ELM via low-rank matrix factorization Tinghui Ouyang
Neurocomputing 448: 82 (2021)
33. Two-phase deep learning model for short-term wind direction forecasting Tinghui Ouyang
Renewable Energy 173: 1005 (2021)
34. Randomized Computation for the Current Stress Policy Design in the DAB Converter Tinghui Ouyang
IEEE Control Systems Letters 5: 863 (2021)
35. Rule-Based Modeling With DBSCAN-Based Information Granules Tinghui Ouyang
IEEE Transactions on Cybernetics 51: 3653 (2021)
36. Cooperative Comfortable-Driving at Signalized Intersections for Connected and Automated Vehicles Xun Shen; Xingguo Zhang; Tinghui Ouyang; Yuanchao LiPongsathorn Raksincharoensak
IEEE Robotics and Automation Letters 5: 6247 (2020)
37. Chaotic wind power time series prediction via switching data-driven modes Tinghui Ouyang; Heming Huang; Yusen He; Zhenhao Tang
Renewable Energy 145: 270 (2020)
38. Hybrid Ensemble Framework for Short-Term Wind Speed Forecasting Zhenhao Tang; Gengnan Zhao; Gong Wang; Tinghui Ouyang
IEEE Access 8: 45271 (2020)
39. Quantitative analysis of gas phase IR spectra based on extreme learning machine regression model Tinghui Ouyang; Chongwu Wang; Zhangjun Yu; Robert Stach (+3 著者) Qi Jie Wang
Sensors (Switzerland) 19: 5535 (2019)
40. Ramp events forecasting based on long-term wind power prediction and correction Tinghui Ouyang; Heming Huang; Yusen He
IET Renewable Power Generation 13: 2793 (2019)