Lian, Heng

9 publications

AAAI 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He
JMLR 2025 Optimal Subsampling for High-Dimensional Partially Linear Models via Machine Learning Methods Yujing Shao, Lei Wang, Heng Lian, Haiying Wang
NeurIPS 2024 HGDL: Heterogeneous Graph Label Distribution Learning Yufei Jin, Heng Lian, Yi He, Xingquan Zhu
JMLR 2024 More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization Xu Liu, Heng Lian, Jian Huang
JMLR 2022 Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions Shaogao Lv, Heng Lian
NeurIPS 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space Heng Lian
JMLR 2022 Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification Yingying Zhang, Yan-Yong Zhao, Heng Lian
JMLR 2020 High-Dimensional Quantile Tensor Regression Wenqi Lu, Zhongyi Zhu, Heng Lian
JMLR 2020 Ultra-High Dimensional Single-Index Quantile Regression Yuankun Zhang, Heng Lian, Yan Yu