Xiaofeng Lin

11 papers A* 1A 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing TableQA through Verifiable Reasoning Trace Reward. CoRR Tung Sum Thomas Kwok, Xinyu Wang, Hengzhi He, Xiaofeng Lin, Peng Lu, Liheng Ma, Chunhe Wang, Ying Nian Wu, Lei Ding, Guang Cheng
2025	A*	`conf`	CTSyn: A Foundation Model for Cross Tabular Data Generation. ICLR Xiaofeng Lin, Chenheng Xu, Matthew Yang, Guang Cheng
2025	J	`jnl`	Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation. CoRR Jessup Byun, Xiaofeng Lin, Joshua Ward, Guang Cheng
2025	J	`jnl`	Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis. CoRR Joshua Ward, Xiaofeng Lin, Chi-hua Wang, Guang Cheng
2024	J	`jnl`	Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. CoRR Yue Xing, Xiaofeng Lin, Namjoon Suh, Qifan Song, Guang Cheng
2024	A	`conf`	Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. AISTATS Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng
2024	J	`jnl`	Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. CoRR Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng
2024	J	`jnl`	CTSyn: A Foundational Model for Cross Tabular Data Generation. CoRR Xiaofeng Lin, Chenheng Xu, Matthew Yang, Guang Cheng
2023	J	`jnl`	AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing. CoRR Namjoon Suh, Xiaofeng Lin, Din-Yin Hsieh, Merhdad Honarkhah, Guang Cheng
2022	—	`conf`	FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification. ECCV (13) Xiaofeng Lin, Seungbae Kim, Jungseock Joo
2022	J	`jnl`	FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification. CoRR Xiaofeng Lin, Seungbae Kim, Jungseock Joo