Xiaozhou Wang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Optimization Problems

Convergence Rate

Execution Environment

Top Venues

J. Mach. Learn. Res.

Publications

Xiaozhou Wang, Ting Kei Pong
Convergence Rate Analysis of a Dykstra-Type Projection Algorithm. SIAM J. Optim. 34 (1) (2024)
Yibo Yan, Xiaozhou Wang, Riquan Zhang
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing. J. Mach. Learn. Res. 24 (2023)
Xiaozhou Wang, Jianfei Ye, Tong Liu, Yinjie Wang, Xuefang Li, Lin Lin
Dynamic Trust Assessment Method for Mobile Network Devices. ICCNS (2023)
Xiaozhou Wang, Jianfei Ye, Linjie Feng, Chenji Feng, Jun Chen
Trusted Delivery Mechanisms for Software Supply Chains Based on Trusted Execution Environment. ICCNS (2023)
Qing Mi, Haotian Bai, Xiaozhou Wang, Wenrui Liu, Xingyue Song
An Empirical Study of Coding Style Compliance on Stack Overflow. SEKE (2023)
Xiaozhou Wang, Xiaojun Chen
Solving Two-Stage Stochastic Variational Inequalities by a Hybrid Projection Semismooth Newton Algorithm. SIAM J. Sci. Comput. 45 (4) (2023)
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 (2022)
Donghui Li, Xiaozhou Wang, Jiajian Huang
Diagonal BFGS updates and applications to the limited memory BFGS method. Comput. Optim. Appl. 81 (3) (2022)
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)
Jianfeng Luo, Xiaozhou Wang, Yi Zhao
Convergence of discrete approximation for differential linear stochastic complementarity systems. Numer. Algorithms 87 (1) (2021)
Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering. IJCAI (2020)
Xiaozhou Wang, Zhuoyi Yang, Xi Chen, Weidong Liu
Distributed Inference for Linear Support Vector Machine. J. Mach. Learn. Res. 20 (2019)
Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Carlos A. Coello Coello, Jianyong Chen
A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems. Appl. Soft Comput. 78 (2019)
Xiaozhou Wang, Zhuoyi Yang, Xi Chen, Weidong Liu
Distributed Inference for Linear Support Vector Machine. CoRR (2018)
Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Jianqiang Li, Carlos A. Coello Coello
Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation. Complex. 2018 (2018)
Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Jianyong Chen
A Novel Many-Objective Optimization Algorithm Based on the Hybrid Angle-Encouragement Decomposition. ICIC (3) (2018)
Michael Sungjun Kim, Jiwei Liu, Xiaozhou Wang, Wei Yang
Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting. ICDM Workshops (2015)
Hesheng Wang, Weidong Chen, Xiaojin Yu, Tao Deng, Xiaozhou Wang, Rolf Pfeifer
Visual servo control of cable-driven soft robotic manipulator. IROS (2013)
Tao Deng, Hesheng Wang, Weidong Chen, Xiaozhou Wang, Rolf Pfeifer
Development of a new cable-driven soft robot for cardiac ablation. ROBIO (2013)