Learning to Refit for Convex Learning Problems. - Yingyan Zeng; Tianhao Wang 013; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (CoRR, 2021)

Label-Only Model Inversion Attacks via Boundary Repulsion. - Mostafa Kahla; Si Chen 008; Hoang Anh Just; Ruoxi Jia 001 (CVPR, 2022)

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. - Yi Zeng 005; Minzhou Pan; Hoang Anh Just; Lingjuan Lyu; Meikang Qiu; Ruoxi Jia 001 (CCS, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Tianhao Wang 013; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2023)

2D-Shapley: A Framework for Fragmented Data Valuation. - Zhihong Liu; Hoang Anh Just; Xiangyu Chang; Xi Chen; Ruoxi Jia 001 (ICML, 2023)

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources. - Feiyang Kang; Hoang Anh Just; Anit Kumar Sahu; Ruoxi Jia 001 (NeurIPS, 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 008; Anoop Kumar; Ruoxi Jia 001 (RAID, 2023)

ModelPred: A Framework for Predicting Trained Model from Training Data. - Yingyan Zeng; Jiachen T. Wang; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (SaTML, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Jiachen T. Wang; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2023)

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. - Feiyang Kang; Hoang Anh Just; Yifan Sun 010; Himanshu Jahagirdar; Yuanzhi Zhang; Rongxing Du; Anit Kumar Sahu; Ruoxi Jia 001 (ICLR, 2024)

Data-Centric Human Preference Optimization with Rationales. - Hoang Anh Just; Ming Jin 002; Anit Kumar Sahu; Huy Phan; Ruoxi Jia 001 (CoRR, 2024)

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. - Hoang Anh Just; Mahavir Dabas; Lifu Huang; Ming Jin 002; Ruoxi Jia 001 (NAACL (Findings), 2025)

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 001; Naren Ramakrishnan (CoRR, 2025)