Hoang Anh Just

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Learning Models

Structured Sparsity

Statistical Learning Theory

Machine Learning Models

Top Venues

Publications

Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. CoRR (2024)
Hoang Anh Just, Ming Jin, Anit Kumar Sahu, Huy Phan, Ruoxi Jia
Data-Centric Human Preference Optimization with Rationales. CoRR (2024)
Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. ICLR (2024)
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2D-Shapley: A Framework for Fragmented Data Valuation. ICML (2023)
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources. CoRR (2023)
Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
ModelPred: A Framework for Predicting Trained Model from Training Data. SaTML (2023)
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources. NeurIPS (2023)
Myeongseob Ko, Xinyu Yang, Zhengjie Ji, Hoang Anh Just, Peng Gao, Anoop Kumar, Ruoxi Jia
PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models. RAID (2023)
Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
LAVA: Data Valuation without Pre-Specified Learning Algorithms. ICLR (2023)
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2D-Shapley: A Framework for Fragmented Data Valuation. CoRR (2023)
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. CCS (2023)
Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
LAVA: Data Valuation without Pre-Specified Learning Algorithms. CoRR (2023)
Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia
Label-Only Model Inversion Attacks via Boundary Repulsion. CVPR (2022)
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. CoRR (2022)
Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia
Label-Only Model Inversion Attacks via Boundary Repulsion. CoRR (2022)
Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
Learning to Refit for Convex Learning Problems. CoRR (2021)