Liu, Weidong

12 publications

JMLR 2024 Distributed Estimation on Semi-Supervised Generalized Linear Model Jiyuan Tu, Weidong Liu, Xiaojun Mao

MLJ 2024 Efficient and Provable Online Reduced Rank Regression via Online Gradient Descent Xiao Liu, Weidong Liu, Xiaojun Mao

MLJ 2024 Multi-Consensus Decentralized Primal-Dual Fixed Point Algorithm for Distributed Learning Kejie Tang, Weidong Liu, Xiaojun Mao

NeurIPS 2024 OneBit: Towards Extremely Low-Bit Large Language Models Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

NeurIPS 2024 ST$_k$: A Scalable Module for Solving Top-K Problems Hanchen Xia, Weidong Liu, Xiaojun Mao

MLJ 2023 Byzantine-Robust Distributed Sparse Learning for M-Estimation Jiyuan Tu, Weidong Liu, Xiaojun Mao

UAI 2022 Byzantine-Tolerant Distributed Multiclass Sparse Linear Discriminant Analysis Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong

JMLR 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen

IJCAI 2020 Bayesian Decision Process for Budget-Efficient Crowdsourced Clustering Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu

JMLR 2020 Distributed High-Dimensional Regression Under a Quantile Loss Function Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang

ICML 2020 Median Matrix Completion: From Embarrassment to Optimality Weidong Liu, Xiaojun Mao, Raymond K. W. Wong

JMLR 2019 Distributed Inference for Linear Support Vector Machine Xiaozhou Wang, Zhuoyi Yang, Xi Chen, Weidong Liu