Zhou Zhai

12 papers A* 3A 2Journal 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths.
IEEE Trans. Neural Networks Learn. Syst.
Yajing Fan, Shuyang Yu, Bin Gu, Ziran Xiong, Zhou Zhai, Heng Huang, Yi Chang
2025 J jnl
Global Model Selection via Solution Paths for Robust Support Vector Machine.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhou Zhai, Bin Gu, Cheng Deng, Heng Huang
2024 J jnl
Kernel Path for Semisupervised Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst.
Zhou Zhai, Heng Huang, Bin Gu
2024 A conf
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization.
AISTATS
Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu
2023 A* conf
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples.
AAAI
Zhou Zhai, Lei Luo, Heng Huang, Bin Gu
2023 J jnl
Kernel Path for ν-Support Vector Classification.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Ziran Xiong, Xiang Li, Zhou Zhai, Guansheng Zheng
2022 A conf
Towards Fairer Classifier via True Fairness Score Path.
CIKM
Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
2021 J jnl
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Zhou Zhai, Cheng Deng, Heng Huang
2021 A* conf
Finding Age Path of Self-Paced Learning.
ICDM
Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
2021 J jnl
Learning Sampling Policy for Faster Derivative Free Optimization.
CoRR
Zhou Zhai, Bin Gu, Heng Huang
2020 A* conf
Safe Sample Screening for Robust Support Vector Machine.
AAAI
Zhou Zhai, Bin Gu, Xiang Li, Heng Huang
2019 J jnl
Safe Sample Screening for Robust Support Vector Machine.
CoRR
Zhou Zhai, Bin Gu, Xiang Li, Heng Huang