publications

2026

1. When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models ICLR

   Nan Zhang, Eugene Kwek, Yusen Zhang, and 3 more authors

   In The Fourteenth International Conference on Learning Representations, 2026

   Bib

   @inproceedings{zhang2026when,
     title = {When Reasoning Meets Compression: Understanding the Effects of {LLM}s Compression on Large Reasoning Models},
     author = {Zhang, Nan and Kwek, Eugene and Zhang, Yusen and Nguyen, Ngoc-Hieu and Mitra, Prasenjit and Zhang, Rui},
     booktitle = {The Fourteenth International Conference on Learning Representations},
     year = {2026},
     url = {https://openreview.net/forum?id=2za3iNkwXn}
   }

2025

1. 

   Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling NeurIPS

   Nguyen Minh Phuc, Ngoc-Hieu Nguyen, Duy Minh Ho Nguyen, and 5 more authors

   In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025

   Bib

   @inproceedings{phuc2025mitigating,
     title = {Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling},
     author = {Phuc, Nguyen Minh and Nguyen, Ngoc-Hieu and Nguyen, Duy Minh Ho and Liu, Anji and Mai, An and Nguyen, Binh T. and Sonntag, Daniel and Doan, Khoa D},
     booktitle = {The Thirty-ninth Annual Conference on Neural Information Processing Systems},
     year = {2025},
     url = {https://openreview.net/forum?id=ltPRj2nthL},
   }

2. 

   LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models ICML Oral

   Parshin Shojaee^*, Ngoc-Hieu Nguyen^*, Kazem Meidani, and 3 more authors

   In Forty-second International Conference on Machine Learning, 2025

   Awarded Bib Code Slides

   Oral presentation: 1% acceptance

   @inproceedings{shojaee2025llmsrbench,
     title = {{LLM}-{SRB}ench: A New Benchmark for Scientific Equation Discovery with Large Language Models},
     author = {Shojaee, Parshin and Nguyen, Ngoc-Hieu and Meidani, Kazem and Farimani, Amir Barati and Doan, Khoa D and Reddy, Chandan K.},
     booktitle = {Forty-second International Conference on Machine Learning},
     year = {2025},
     url = {https://openreview.net/forum?id=SyQPiZJVWY},
   }

3. 

   Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks ICLR

   Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, and 4 more authors

   In The Thirteenth International Conference on Learning Representations, 2025

   Bib

   @inproceedings{hung-quang2025wicked,
     title = {Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks},
     author = {Hung-Quang, Nguyen and Nguyen, Ngoc-Hieu and Ta, The-Anh and Nguyen-Tang, Thanh and Wong, Kok-Seng and Thanh-Tung, Hoang and Doan, Khoa D},
     booktitle = {The Thirteenth International Conference on Learning Representations},
     year = {2025},
     url = {https://openreview.net/forum?id=1Z3C49JQVf},
   }

2024

1. 

   Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training WWW Oral

   Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, and 3 more authors

   In Proceedings of the ACM Web Conference 2024, Singapore, Singapore, 2024

   Awarded DOI Bib Code Slides

   Oral presentation

   @inproceedings{hieu2024colr,
     author = {Nguyen, Ngoc-Hieu and Nguyen, Tuan-Anh and Nguyen, Tuan and Hoang, Vu Tien and Le, Dung D. and Wong, Kok-Seng},
     title = {Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training},
     year = {2024},
     isbn = {9798400701719},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3589334.3645702},
     doi = {10.1145/3589334.3645702},
     booktitle = {Proceedings of the ACM Web Conference 2024},
     pages = {3940–3951},
     numpages = {12},
     keywords = {communication efficiency, federated learning, recommendation system},
     location = {Singapore, Singapore},
     series = {WWW '24},
   }

2023

1. Class based Influence Functions for Error Detection ACL

   Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, and 4 more authors

   In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Jul 2023

   Abs DOI Bib

   Influence functions (IFs) are a powerful tool for detecting anomalous examples in large scale datasets. However, they are unstable when applied to deep networks. In this paper, we provide an explanation for the instability of IFs and develop a solution to this problem. We show that IFs are unreliable when the two data points belong to two different classes. Our solution leverages class information to improve the stability of IFs.Extensive experiments show that our modification significantly improves the performance and stability of IFs while incurring no additional computational cost.

   @inproceedings{nguyen-duc-etal-2023-class,
     title = {Class based Influence Functions for Error Detection},
     author = {Nguyen-Duc, Thang and Thanh-Tung, Hoang and Tran, Quan Hung and Huu-Tien, Dang and Ngoc-Hieu, Nguyen and T. V. Dau, Anh and Bui, Nghi},
     editor = {Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki},
     booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
     month = jul,
     year = {2023},
     address = {Toronto, Canada},
     publisher = {Association for Computational Linguistics},
     url = {https://aclanthology.org/2023.acl-short.104/},
     doi = {10.18653/v1/2023.acl-short.104},
     pages = {1204--1218},
   }

2022

1. An Analysis of Applying Neural Tangent Kernels for Deep Equilibrium Models Undergraduate thesis

   Ngoc-Hieu Nguyen

   Aug 2022

   PDF