FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification. - Xiaofeng Lin 005; Seungbae Kim; Jungseock Joo (ECCV (13), 2022)

AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing. - Namjoon Suh; Xiaofeng Lin 005; Din-Yin Hsieh; Merhdad Honarkhah; Guang Cheng 003 (CoRR, 2023)

Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. - Yue Xing 002; Xiaofeng Lin 005; Qifan Song; Yi Xu 011; Belinda Zeng; Guang Cheng 003 (AISTATS, 2024)

Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. - Yue Xing 002; Xiaofeng Lin 005; Namjoon Suh; Qifan Song; Guang Cheng 003 (CoRR, 2024)

CTSyn: A Foundational Model for Cross Tabular Data Generation. - Xiaofeng Lin 005; Chenheng Xu; Matthew Yang; Guang Cheng (CoRR, 2024)

CTSyn: A Foundation Model for Cross Tabular Data Generation. - Xiaofeng Lin 005; Chenheng Xu; Matthew Yang; Guang Cheng (ICLR, 2025)

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation. - Jessup Byun; Xiaofeng Lin 005; Joshua Ward; Guang Cheng 003 (CoRR, 2025)