Yuya Jeremy Ong

20 papers A 1B 2Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation. CoRR Asmita Bhardwaj, Yuya Jeremy Ong, Eelaaf Zahid, Basel Shbita
2026	J	`jnl`	Augmenting Question Answering with A Hybrid RAG Approach. CoRR Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei
2026	J	`jnl`	LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics. CoRR Farhan Ahmed, Yuya Jeremy Ong, Chad DeLuca
2025	—	`conf`	Augmenting Question Answering with A Hybrid RAG Approach. CogMI Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei
2024	B	`conf`	Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social Biases. IEEE Big Data Yuya Jeremy Ong, Jay Pankaj Gala, Sungeun An, Robert J. Moore, Divyesh Jadav
2024	A	`conf`	Towards Collecting Royalties for Copyrighted Data for Generative Models. ICWS Heiko Ludwig, Yi Zhou, Syed Zawad, Yuya Jeremy Ong, Pengyuan Li, Eric Butler, Eelaaf Zahid
2023	J	`jnl`	Incorporating Experts' Judgment into Machine Learning Models. CoRR Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo
2023	J	`jnl`	Incorporating experts' judgment into machine learning models. Expert Syst. Appl. Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo
2022	J	`jnl`	Federated XGBoost on Sample-Wise Non-IID Data. CoRR Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo
2022	—	`conf`	SimPO: Simultaneous Prediction and Optimization. SCC Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura
2022	J	`jnl`	SimPO: Simultaneous Prediction and Optimization. CoRR Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura
2022	J	`jnl`	Towards a New Science of Disinformation. CoRR Claudio S. Pinhanez, German H. Flores, Marisa A. Vasconcelos, Mu Qiao, Nick Linck, Rogério de Paula, Yuya Jeremy Ong
2022	—	`ch.`	Tree-Based Models for Federated Learning Systems. Federated Learning Yuya Jeremy Ong, Nathalie Baracaldo, Yi Zhou
2021	—	`conf`	Predicting Loss Risks for B2B Tendering Processes. IEEE BigData Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura
2021	J	`jnl`	Predicting Loss Risks for B2B Tendering Processes. CoRR Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura
2020	J	`jnl`	Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning. CoRR Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig
2020	J	`jnl`	IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR 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
2020	—	`conf`	Temporal Tensor Transformation Network for Multivariate Time Series Prediction. IEEE BigData Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav
2020	J	`jnl`	Temporal Tensor Transformation Network for Multivariate Time Series Prediction. CoRR Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav
2017	B	`conf`	Context-Aware Data Loss Prevention for Cloud Storage Services. CLOUD Yuya Jeremy Ong, Mu Qiao, Ramani Routray, Roger Raphael