Ngoc Bui

According to our database, Ngoc Bui authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation.

Hiren Madhu, Ngoc Bui, Ali Maatouk, Leandros Tassiulas, Smita Krishnaswamy, Menglin Yang, Sukanta Ganguly, Kiran Srinivasan, Rex Ying

CoRR, February, 2026

LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks.

Andreas Varvarigos, Ali Maatouk, Jiasheng Zhang, Ngoc Bui, Jialin Chen, Leandros Tassiulas, Rex Ying

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs.

Ngoc Bui, Shubham Sharma, Simran Lamba, Saumitra Mishra, Rex Ying

CoRR, December, 2025

Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries.

Neil He, Jiahong Liu, Buze Zhang, Ngoc Bui, Ali Maatouk, Menglin Yang, Irwin King, Melanie Weber, Rex Ying

CoRR, April, 2025

Coverage-Validity-Aware Algorithmic Recourse.

Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen

Oper. Res., 2025

LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs.

Jiasheng Zhang, Ali Maatouk, Jialin Chen, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Hua Xu, Jie Shao, Rex Ying

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Hyperbolic Deep Learning for Foundation Models: A Survey.

Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning.

Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Mixture-of-Personas Language Models for Population Simulation.

Ngoc Bui, Hieu Trung Nguyen, Shantanu Kumar, Julian Theodore, Weikang Qiu, Viet Anh Nguyen, Rex Ying

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Enhancing Item Tokenization for Generative Recommendation through Self-Improvement.

Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis Antypas, Stanley Cai, Xiaopeng Wu, Leonardo Neves, Zhangyang Wang, Neil Shah, Tong Zhao

CoRR, 2024

Explaining Graph Neural Networks via Structure-aware Interaction Index.

Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Distributionally Robust Recourse Action.

Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Feasible Recourse Plan via Diverse Interpolation.

Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks.

Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan-Thuan Do

CoRR, 2022

Robust Bayesian recourse.

Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Counterfactual Plans under Distributional Ambiguity.

Ngoc Bui, Duy Nguyen, Viet Anh Nguyen

Proceedings of the Tenth International Conference on Learning Representations, 2022