Context-Aware Data Loss Prevention for Cloud Storage Services. - Yuya Jeremy Ong; Mu Qiao; Ramani Routray; Roger Raphael (CLOUD, 2017)

Temporal Tensor Transformation Network for Multivariate Time Series Prediction. - Yuya Jeremy Ong; Mu Qiao; Divyesh Jadav (IEEE BigData, 2020)

IBM Federated Learning: an Enterprise Framework White Paper V0.1. - Heiko Ludwig; Nathalie Baracaldo; Gegi Thomas; Yi Zhou 015; Ali Anwar 001; Shashank Rajamoni; Yuya Jeremy Ong; Jayaram Radhakrishnan; Ashish Verma 001; Mathieu Sinn; Mark Purcell; Ambrish Rawat; et al. (CoRR, 2020)

Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning. - Yuya Jeremy Ong; Yi Zhou 015; Nathalie Baracaldo; Heiko Ludwig (CoRR, 2020)

Predicting Loss Risks for B2B Tendering Processes. - Eelaaf Zahid; Yuya Jeremy Ong; Aly Megahed; Taiga Nakamura (IEEE BigData, 2021)

Tree-Based Models for Federated Learning Systems. - Yuya Jeremy Ong; Nathalie Baracaldo; Yi Zhou 015 (Federated Learning, 2022)

SimPO: Simultaneous Prediction and Optimization. - Bing Zhang 021; Yuya Jeremy Ong; Taiga Nakamura (SCC, 2022)

SimPO: Simultaneous Prediction and Optimization. - Bing Zhang; Yuya Jeremy Ong; Taiga Nakamura (CoRR, 2022)

Towards a New Science of Disinformation. - Claudio S. Pinhanez; German H. Flores; Marisa A. Vasconcelos; Mu Qiao; Nick Linck; Rogério de Paula; Yuya Jeremy Ong (CoRR, 2022)

Federated XGBoost on Sample-Wise Non-IID Data. - Katelinh Jones; Yuya Jeremy Ong; Yi Zhou 015; Nathalie Baracaldo (CoRR, 2022)

Incorporating experts' judgment into machine learning models. - Hogun Park; Aly Megahed; Peifeng Yin; Yuya Jeremy Ong; Pravar Dilip Mahajan; Pei Guo (Expert Syst. Appl., 2023)

Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social Biases. - Yuya Jeremy Ong; Jay P. Gala; Sungeun An; Robert J. Moore; Divyesh Jadav (IEEE Big Data, 2024)

Towards Collecting Royalties for Copyrighted Data for Generative Models. - Heiko Ludwig; Yi Zhou 015; Syed Zawad; Yuya Jeremy Ong; Pengyuan Li 001; Eric Butler; Eelaaf Zahid (ICWS, 2024)