Hoang Anh Just

According to our database, Hoang Anh Just authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Optimizing Product Provenance Verification Using Data Valuation Methods.

Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

More Than the Final Answer: Improving Visual Extraction and Logical Consistency in Vision-Language Models.

Hoang Anh Just, Yifei Fan, Handong Zhao, Jiuxiang Gu, Ruiyi Zhang, Simon Jenni, Kushal Kafle, Ruoxi Jia, Jing Shi

CoRR, December, 2025

Probing Knowledge Holes in Unlearned LLMs.

Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia

CoRR, November, 2025

Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data.

Hoang Anh Just, Myeongseob Ko, Ruoxi Jia

CoRR, October, 2025

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking.

Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Data-Centric Human Preference Optimization with Rationales.

Hoang Anh Just, Ming Jin, Anit Kumar Sahu, Huy Phan, Ruoxi Jia

CoRR, 2024

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.

Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.

Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

CoRR, 2023

ModelPred: A Framework for Predicting Trained Model from Training Data.

Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models.

Myeongseob Ko, Xinyu Yang, Zhengjie Ji, Hoang Anh Just, Peng Gao, Anoop Kumar, Ruoxi Jia

Proceedings of the 26th International Symposium on Research in Attacks, 2023

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.

Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2D-Shapley: A Framework for Fragmented Data Valuation.

Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia

Proceedings of the International Conference on Machine Learning, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.

Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.

Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Label-Only Model Inversion Attacks via Boundary Repulsion.

Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning to Refit for Convex Learning Problems.

Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

CoRR, 2021