Big Data Analytics = Machine Learning + Cloud Computing. - Caesar Wu; Rajkumar Buyya; Kotagiri Ramamohanarao (CoRR, 2016)

Cloud Computing Market Segmentation. - Caesar Wu; Rajkumar Buyya; Kotagiri Ramamohanarao (ICSOFT, 2018)

Value-based cloud price modeling for segmented business to business market. - Caesar Wu; Rajkumar Buyya; Kotagiri Ramamohanarao (Future Gener. Comput. Syst., 2019)

Cloud Pricing Models: Taxonomy, Survey, and Interdisciplinary Challenges. - Caesar Wu; Rajkumar Buyya; Kotagiri Ramamohanarao (ACM Comput. Surv., 2020)

Modeling cloud business customers' utility functions. - Caesar Wu; Rajkumar Buyya; Kotagiri Ramamohanarao (Future Gener. Comput. Syst., 2020)

Hedonic Pricing of Cloud Computing Services. - Caesar Wu; Adel Nadjaran Toosi; Rajkumar Buyya; Kotagiri Ramamohanarao (IEEE Trans. Cloud Comput., 2021)

The Emerged Artificial Intelligence Protocol for Hierarchical Information Network. - Caesar Wu; Pascal Bouvry (ICOIN, 2023)

The Emerging Artificial Intelligence Protocol for Hierarchical Information Network. - Caesar Wu; Pascal Bouvry (CoRR, 2023)

Survey of Trustworthy AI: A Meta Decision of AI. - Caesar Wu; Yuan-Fang Li; Pascal Bouvry (CoRR, 2023)

Trustworthy AI: Deciding What to Decide. - Caesar Wu; Yuan-Fang Li; Jian Li; Jingjing Xu; Pascal Bouvry (CoRR, 2023)

Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. - Caesar Wu; Rui Zhang 003; Ramamohanarao Kotagiri; Pascal Bouvry (ACM Comput. Surv., 2023)

Strategic Predictions and Explanations By Machine Learning : The Prediction Model of Credit Default Swaps for the Telecommunication Service Sector. - Caesar Wu; Jian Li; Jingjing Xu; Pascal Bouvry (ICOIN, 2024)

Trustworthy AI: Deciding What to Decide - A Strategic Decision on Credit Default Swaps Investment. - Caesar Wu; Yuan-Fang Li; Jian Li; Jingjing Xu; Pascal Bouvry (SAI (1), 2024)

Transformer Multivariate Forecasting: Less is More? - Jingjing Xu; Caesar Wu; Yuan-Fang Li; Pascal Bouvry (CoRR, 2024)

Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting. - Jingjing Xu; Caesar Wu; Yuan-Fang Li; Grégoire Danoy; Pascal Bouvry (CoRR, 2024)

Dataset | Mindset = Explainable AI | Interpretable AI. - Caesar Wu; Rajkumar Buyya; Yuan Fang Li; Pascal Bouvry (CoRR, 2024)

Trustworthiness of Stochastic Gradient Descent in Distributed Learning. - Hongyang Li; Caesar Wu; Mohammed Chadli; Saïd Mammar; Pascal Bouvry (CoRR, 2024)

A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models. - Jingjing Xu; Caesar Wu; Yuan-Fang Li; Grégoire Danoy; Pascal Bouvry (CoRR, 2025)

Lightweight Trustworthy Distributed Clustering. - Hongyang Li; Caesar Wu; Mohammed Chadli; Saïd Mammar; Pascal Bouvry (CoRR, 2025)

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm. - Hongyang Li; Lincen Bai; Caesar Wu; Mohammed Chadli; Saïd Mammar; Pascal Bouvry (CoRR, 2025)