Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. - Lei Ding 013; Dengdeng Yu; Jinhan Xie; Wenxing Guo; Shenggang Hu; Meichen Liu; Linglong Kong; Hongsheng Dai; Yanchun Bao; Bei Jiang (AAAI, 2022)

Conformalized Fairness via Quantile Regression. - Meichen Liu; Lei Ding 013; Dengdeng Yu; Wulong Liu; Linglong Kong; Bei Jiang (NeurIPS, 2022)

Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. - Shenggang Hu; Jabir Alshehabi Al-Ani; Karen D. Hughes; Nicole Denier; Alla Konnikov; Lei Ding 013; Jinhan Xie; Yang Hu; Monideepa Tarafdar; Bei Jiang; Linglong Kong; Hongsheng Dai (Frontiers Big Data, 2022)

Online Local Differential Private Quantile Inference via Self-normalization. - Yi Liu; Qirui Hu; Lei Ding 013; Linglong Kong (ICML, 2023)

Gaussian Differential Privacy on Riemannian Manifolds. - Yangdi Jiang; Xiaotian Chang; Yi Liu; Lei Ding 013; Linglong Kong; Bei Jiang (NeurIPS, 2023)

Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. - Enze Shi; Lei Ding 013; Linglong Kong; Bei Jiang (NAACL-HLT, 2024)

Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach. - Lei Ding 013; Yang Hu; Nicole Denier; Enze Shi; Junxi Zhang; Qirui Hu; Karen D. Hughes; Linglong Kong; Bei Jiang (NeurIPS, 2024)