Phase transition and noise sensitivity of ℓp-minimization for 0 ≤ p ≤ 1. - Haolei Weng; Le Zheng; Arian Maleki; Xiaodong Wang 001 (ISIT, 2016)

Overcoming The Limitations of Phase Transition by Higher Order Analysis of Regularization Techniques. - Haolei Weng; Arian Maleki; Le Zheng (CoRR, 2016)

Which bridge estimator is optimal for variable selection? - Shuaiwen Wang; Haolei Weng; Arian Maleki (CoRR, 2017)

Low noise sensitivity analysis of Lq-minimization in oversampled systems. - Haolei Weng; Arian Maleki (CoRR, 2017)

Does ℓp-Minimization Outperform ℓ1-Minimization? - Le Zheng; Arian Maleki; Haolei Weng; Xiaodong Wang 001; Teng Long 001 (IEEE Trans. Inf. Theory, 2017)

Does SLOPE outperform bridge regression? - Shuaiwen Wang; Haolei Weng; Arian Maleki (CoRR, 2019)

Matrix completion with nonconvex regularization: spectral operators and scalable algorithms. - Rahul Mazumder; Diego Saldana; Haolei Weng (Stat. Comput., 2020)

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models. - Ye Tian; Haolei Weng; Yang Feng 002 (CoRR, 2022)

Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks. - Ye Tian; Haolei Weng; Yang Feng 002 (CoRR, 2023)

Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer Networks. - Sihan Huang; Haolei Weng; Yang Feng 002 (J. Comput. Graph. Stat., 2023)

Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms. - Ye Tian; Haolei Weng; Yang Feng 002 (ICML, 2024)

Signal-to-Noise Ratio Aware Minimaxity and Higher-Order Asymptotics. - Yilin Guo; Haolei Weng; Arian Maleki (IEEE Trans. Inf. Theory, 2024)

Transfer Learning for Matrix Completion. - Dali Liu; Haolei Weng (CoRR, 2025)