Hanyuan Hang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Nearest Neighbor

Ensemble Learning

Density Estimation

Top Venues

J. Mach. Learn. Res.

Publications

Hongwei Wen, Annika Betken, Hanyuan Hang
Class Probability Matching with Calibrated Networks for Label Shift Adaption. ICLR (2024)
Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yuchao Cai, Yuheng Ma, Hanfang Yang, Hanyuan Hang
Bagged Regularized k-Distances for Anomaly Detection. CoRR (2023)
Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi
GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. 53 (1) (2023)
Hongwei Wen, Annika Betken, Hanyuan Hang
Class Probability Matching Using Kernel Methods for Label Shift Adaptation. CoRR (2023)
Hongwei Wen, Hanyuan Hang
Random Forest Density Estimation. ICML (2022)
Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
Under-bagging Nearest Neighbors for Imbalanced Classification. J. Mach. Learn. Res. 23 (2022)
Hanyuan Hang
Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets. CoRR (2022)
Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
Leveraged Weighted Loss for Partial Label Learning. CoRR (2021)
Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
Histogram Transform Ensembles for Large-scale Regression. J. Mach. Learn. Res. 22 (2021)
Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
GBHT: Gradient Boosting Histogram Transform for Density Estimation. CoRR (2021)
Hanyuan Hang, Tao Huang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression. CoRR (2021)
Hanyuan Hang
Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning. CoRR (2021)
Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
GBHT: Gradient Boosting Histogram Transform for Density Estimation. ICML (2021)
Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
Under-bagging Nearest Neighbors for Imbalanced Classification. CoRR (2021)
Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
Leveraged Weighted Loss for Partial Label Learning. ICML (2021)
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. IEEE Trans. Inf. Theory 66 (2) (2020)
Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin
Boosted Histogram Transform for Regression. ICML (2020)
Hanyuan Hang, Yingyi Chen, Johan A. K. Suykens
Two-stage Best-scored Random Forest for Large-scale Regression. CoRR (2019)
Hanyuan Hang, Yuchao Cai, Hanfang Yang
Density-based Clustering with Best-scored Random Forest. CoRR (2019)
Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
Histogram Transform Ensembles for Large-scale Regression. CoRR (2019)
Hanyuan Hang, Xiaoyu Liu, Ingo Steinwart
Best-scored Random Forest Classification. CoRR (2019)
Zichang Tan, Yang Yang, Jun Wan, Hanyuan Hang, Guodong Guo, Stan Z. Li
Attention-Based Pedestrian Attribute Analysis. IEEE Trans. Image Process. 28 (12) (2019)
Hanyuan Hang
Histogram Transform Ensembles for Density Estimation. CoRR (2019)
Hanyuan Hang, Hongwei Wen
Best-scored Random Forest Density Estimation. CoRR (2019)
Hanyuan Hang, Ingo Steinwart
Optimal Learning with Anisotropic Gaussian SVMs. CoRR (2018)
Hanyuan Hang, Ingo Steinwart, Yunlong Feng, Johan A. K. Suykens
Kernel Density Estimation for Dynamical Systems. J. Mach. Learn. Res. 19 (2018)
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. CoRR (2018)
Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens
Learning Theory Estimates with Observations from General Stationary Stochastic Processes. Neural Comput. 28 (12) (2016)
Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, Johan A. K. Suykens
Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. Neural Comput. 28 (3) (2016)
Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens
Learning theory estimates with observations from general stationary stochastic processes. CoRR (2016)
Hanyuan Hang, Ingo Steinwart
Fast learning from α-mixing observations. J. Multivar. Anal. 127 (2014)