Dengdeng Yu

According to our database, Dengdeng Yu authored at least 6 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Nonparametric Principal Subspace Regression.

Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao

J. Mach. Learn. Res., 2022

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conformalized Fairness via Quantile Regression.

Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving.

Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019

Sparse wavelet estimation in quantile regression with multiple functional predictors.

Dengdeng Yu, Li Zhang, Ivan Mizera, Bei Jiang, Linglong Kong

Comput. Stat. Data Anal., 2019

2016

Partial functional linear quantile regression for neuroimaging data analysis.

Dengdeng Yu, Linglong Kong, Ivan Mizera

Neurocomputing, 2016