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2020 – today
- 2022
[j3]Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao:
Nonparametric Principal Subspace Regression. J. Mach. Learn. Res. 23: 237:1-237:28 (2022)- [c3]Lei Ding
, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI 2022: 11864-11872 - [c2]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. NeurIPS 2022 - [c1]Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg:
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. NeurIPS 2022 - [i3]Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg:
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. CoRR abs/2206.08851 (2022) - [i2]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. CoRR abs/2210.02015 (2022) - 2021
- [i1]Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. CoRR abs/2112.05194 (2021)
2010 – 2019
- 2019
- [j2]Dengdeng Yu, Li Zhang, Ivan Mizera, Bei Jiang, Linglong Kong:
Sparse wavelet estimation in quantile regression with multiple functional predictors. Comput. Stat. Data Anal. 136: 12-29 (2019) - 2016
- [j1]Dengdeng Yu, Linglong Kong, Ivan Mizera:
Partial functional linear quantile regression for neuroimaging data analysis. Neurocomputing 195: 74-87 (2016)
Coauthor Index
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