185 citations · 377 across the 7 of their papers we have counts for
7 papers
Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance
Tinghui Ouyang, AprilPyone MaungMaung, Koichi Konishi +2
In the era of large AI models, the complex architecture and vast parameters present substantial challenges for effective AI quality management (AIQM), e.g. large language model (LL…
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance
Tinghui Ouyang, Isao Echizen, Yoshiki Seo
Data outside the problem domain poses significant threats to the security of AI-based intelligent systems. Aiming to investigate the data domain and out-of-distribution (OOD) data…
Quality Assurance of A GPT-based Sentiment Analysis System: Adversarial Review Data Generation and Detection
Tinghui Ouyang, Hoang-Quoc Nguyen-Son, Huy H. Nguyen +2
Large Language Models (LLMs) have been garnering significant attention of AI researchers, especially following the widespread popularity of ChatGPT. However, due to LLMs' intricate…
Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction
Zhenhao Tang, Shikui Wang, Xiangying Chai +3
An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm…
Corner case data description and detection
Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe +3
As the major factors affecting the safety of deep learning models, corner cases and related detection are crucial in AI quality assurance for constructing safety- and security-crit…
Statistical Simulator for the Engine Knock
Xun Shen, Tinghui Ouyang, Jiancang Zhuang +1
This paper proposes a statistical simulator for the engine knock based on the Mixture Density Network (MDN) and the accept-reject method. The proposed simulator can generate the ra…
A Deep Learning Framework for Short-term Power Load Forecasting
Tinghui Ouyang, Yusen He, Huajin Li +2
The scheduling and operation of power system becomes prominently complex and uncertain, especially with the penetration of distributed power. Load forecasting matters to the effect…