Safe Sample Screening for Robust Support Vector Machine. - Zhou Zhai; Bin Gu 001; Xiang Li 012; Heng Huang (AAAI, 2020)

Finding Age Path of Self-Paced Learning. - Bin Gu 001; Zhou Zhai; Xiang Li 012; Heng Huang (ICDM, 2021)

Learning Sampling Policy for Faster Derivative Free Optimization. - Zhou Zhai; Bin Gu 001; Heng Huang (CoRR, 2021)

Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. - Bin Gu 001; Zhou Zhai; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Towards Fairer Classifier via True Fairness Score Path. - Bin Gu 001; Zhou Zhai; Xiang Li 012; Heng Huang (CIKM, 2022)

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. - Zhou Zhai; Lei Luo 001; Heng Huang; Bin Gu 001 (AAAI, 2023)

Kernel Path for ν-Support Vector Classification. - Bin Gu 001; Ziran Xiong; Xiang Li 012; Zhou Zhai; Guansheng Zheng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. - Zhou Zhai; Wanli Shi; Heng Huang; Yi Chang 001; Bin Gu 001 (AISTATS, 2024)

Kernel Path for Semisupervised Support Vector Machine. - Zhou Zhai; Heng Huang; Bin Gu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths. - Yajing Fan; Shuyang Yu; Bin Gu 001; Ziran Xiong; Zhou Zhai; Heng Huang; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Global Model Selection via Solution Paths for Robust Support Vector Machine. - Zhou Zhai; Bin Gu 001; Cheng Deng; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)