Yuya Jeremy Ong

According to our database, Yuya Jeremy Ong authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Systematic Approach for Large Language Models Debugging.

Basel Shbita, Anna Lisa Gentile, Bing Zhang, Sungeun An, Shailja Thakur, Shubhi Asthana, Yi Zhou, Saptha Surendran, Farhan Ahmed, Rohan Kulkarni, Yuya Jeremy Ong, Chad DeLuca, Hima Patel

CoRR, April, 2026

LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics.

Farhan Ahmed, Yuya Jeremy Ong, Chad DeLuca

CoRR, March, 2026

Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation.

Asmita Bhardwaj, Yuya Jeremy Ong, Eelaaf Zahid, Basel Shbita

CoRR, March, 2026

2025

Augmenting Question Answering with A Hybrid RAG Approach.

Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024

Towards Collecting Royalties for Copyrighted Data for Generative Models.

Heiko Ludwig, Yi Zhou, Syed Zawad, Yuya Jeremy Ong, Pengyuan Li, Eric Butler, Eelaaf Zahid

Proceedings of the IEEE International Conference on Web Services, 2024

Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social Biases.

Yuya Jeremy Ong, Jay Pankaj Gala, Sungeun An, Robert J. Moore, Divyesh Jadav

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Incorporating experts' judgment into machine learning models.

Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo

Expert Syst. Appl., October, 2023

2022

Federated XGBoost on Sample-Wise Non-IID Data.

Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo

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

SimPO: Simultaneous Prediction and Optimization.

Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura

CoRR, 2022

SimPO: Simultaneous Prediction and Optimization.

Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura

Proceedings of the IEEE International Conference on Services Computing, 2022

Tree-Based Models for Federated Learning Systems.

Yuya Jeremy Ong, Nathalie Baracaldo, Yi Zhou

Proceedings of the Federated Learning, 2022

2021

Predicting Loss Risks for B2B Tendering Processes.

Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning.

Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig

CoRR, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.

Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

CoRR, 2020

Temporal Tensor Transformation Network for Multivariate Time Series Prediction.

Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017

Context-Aware Data Loss Prevention for Cloud Storage Services.

Yuya Jeremy Ong, Mu Qiao, Ramani Routray, Roger Raphael

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017