Peng Liu

According to our database, Peng Liu authored at least 6 papers between 2015 and 2023.

Collaborative distances:

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

2023

Bayesian nonparametric mixtures of Exponential Random Graph Models for ensembles of networks.

Sa Ren, Xue Wang, Peng Liu, Jian Zhang

Soc. Networks, July, 2023

Optimal Smooth Approximation for Quantile Matrix Factorization.

Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability.

Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

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

2019

Learning Privately over Distributed Features: An ADMM Sharing Approach.

Yaochen Hu, Peng Liu, Linglong Kong, Di Niu

CoRR, 2019

M-estimation in Low-Rank Matrix Factorization: A General Framework.

Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2015

Smoothed estimator of quantile residual lifetime for right censored data.

Li Zhang, Peng Liu, Yong Zhou

J. Syst. Sci. Complex., 2015