Partial functional linear quantile regression for neuroimaging data analysis. - Dengdeng Yu; Linglong Kong; Ivan Mizera (Neurocomputing, 2016)

Sparse wavelet estimation in quantile regression with multiple functional predictors. - Dengdeng Yu; Li Zhang 091; Ivan Mizera; Bei Jiang; Linglong Kong (Comput. Stat. Data Anal., 2019)

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)

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. - Mohan Zhang; Xiaozhou Wang; Benjamin Decardi-Nelson; Song Bo; An Zhang 007; Jinfeng Liu 001; Sile Tao; Jiayi Cheng; Xiaohong Liu 001; Dengdeng Yu; Matthew Poon; Animesh Garg (NeurIPS, 2022)

Nonparametric Principal Subspace Regression. - Yang Zhou; Mark Koudstaal; Dengdeng Yu; Dehan Kong; Fang Yao (J. Mach. Learn. Res., 2022)