Hoang Anh Just

23 papers A* 7A 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Optimizing Product Provenance Verification Using Data Valuation Methods.
AAAI
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
2025 — conf
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking.
NAACL (Findings)
Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia
2025 J jnl
Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data.
CoRR
Hoang Anh Just, Myeongseob Ko, Ruoxi Jia
2025 J jnl
More Than the Final Answer: Improving Visual Extraction and Logical Consistency in Vision-Language Models.
CoRR
Hoang Anh Just, Yifei Fan, Handong Zhao, Jiuxiang Gu, Ruiyi Zhang, Simon Jenni, Kushal Kafle, Ruoxi Jia, Jing Shi
2025 J jnl
Optimizing Product Provenance Verification using Data Valuation Methods.
CoRR
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
2025 J jnl
Probing Knowledge Holes in Unlearned LLMs.
CoRR
Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia
2024 J jnl
Data-Centric Human Preference Optimization with Rationales.
CoRR
Hoang Anh Just, Ming Jin, Anit Kumar Sahu, Huy Phan, Ruoxi Jia
2024 J jnl
DiPT: Enhancing LLM reasoning through diversified perspective-taking.
CoRR
Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia
2024 A* conf
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.
ICLR
Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
2024 J jnl
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.
CoRR
Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
2023 A* conf
2D-Shapley: A Framework for Fragmented Data Valuation.
ICML
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2023 J jnl
2D-Shapley: A Framework for Fragmented Data Valuation.
CoRR
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2023 A* conf
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
ICLR
Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023 J jnl
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
CoRR
Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023 — conf
ModelPred: A Framework for Predicting Trained Model from Training Data.
SaTML
Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
2023 A* conf
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
CCS
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
2023 A* conf
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.
NeurIPS
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
2023 J jnl
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.
CoRR
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
2023 A conf
PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models.
RAID
Myeongseob Ko, Xinyu Yang, Zhengjie Ji, Hoang Anh Just, Peng Gao, Anoop Kumar, Ruoxi Jia
2022 A* conf
Label-Only Model Inversion Attacks via Boundary Repulsion.
CVPR
Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia
2022 J jnl
Label-Only Model Inversion Attacks via Boundary Repulsion.
CoRR
Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia
2022 J jnl
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
CoRR
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
2021 J jnl
Learning to Refit for Convex Learning Problems.
CoRR
Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia