Hanyuan Hang - RankMe

39 papers A* 6B 1Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems. CoRR Xiaoke Yang, Long Gao, Haoyu He, Hanyuan Hang, Qi Liu, Shuai Zhao, Qiantu Tuo, Rui Li
2026	J	`jnl`	A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems. CoRR Haoyu He, Yu Duan, Wenzhen Liu, Hanyuan Hang, Qiantu Tuo, Xiaoke Yang, Rui Li
2025	J	`jnl`	Bagged Regularized k-Distances for Anomaly Detection. J. Mach. Learn. Res. Yuchao Cai, Hanfang Yang, Yuheng Ma, Hanyuan Hang
2025	J	`jnl`	Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets. J. Mach. Learn. Res. Hanyuan Hang
2025	B	`conf`	CLASP: Contrastive Learning with Asymmetric Stochastic Patching for Anomaly Detection. ICPADS Zhenchang Xia, Ke Xu, Chengyi Qiu, Yuqi Zhou, Hanyuan Hang
2025	A*	`conf`	Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios. ICLR Hongwei Wen, Annika Betken, Hanyuan Hang
2025	J	`jnl`	Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Jiabin Liu, Huadong Wang, Hanyuan Hang, Shumin Ma, Xin Shen, Yong Shi
2024	A*	`conf`	Class Probability Matching with Calibrated Networks for Label Shift Adaption. ICLR Hongwei Wen, Annika Betken, Hanyuan Hang
2023	J	`jnl`	Bagged Regularized k-Distances for Anomaly Detection. CoRR Yuchao Cai, Yuheng Ma, Hanfang Yang, Hanyuan Hang
2023	J	`jnl`	Class Probability Matching Using Kernel Methods for Label Shift Adaptation. CoRR Hongwei Wen, Annika Betken, Hanyuan Hang
2023	J	`jnl`	GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi
2023	J	`jnl`	LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2022	J	`jnl`	Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets. CoRR Hanyuan Hang
2022	A*	`conf`	Random Forest Density Estimation. ICML Hongwei Wen, Hanyuan Hang
2022	J	`jnl`	Under-bagging Nearest Neighbors for Imbalanced Classification. J. Mach. Learn. Res. Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
2021	A*	`conf`	GBHT: Gradient Boosting Histogram Transform for Density Estimation. ICML Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	GBHT: Gradient Boosting Histogram Transform for Density Estimation. CoRR Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Gradient Boosted Binary Histogram Ensemble for Large-scale Regression. CoRR Hanyuan Hang, Tao Huang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
2021	J	`jnl`	Histogram Transform Ensembles for Large-scale Regression. J. Mach. Learn. Res. Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
2021	A*	`conf`	Leveraged Weighted Loss for Partial Label Learning. ICML Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Leveraged Weighted Loss for Partial Label Learning. CoRR Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning. CoRR Hanyuan Hang
2021	J	`jnl`	Under-bagging Nearest Neighbors for Imbalanced Classification. CoRR Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin
2020	A*	`conf`	Boosted Histogram Transform for Regression. ICML Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin
2020	J	`jnl`	Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. IEEE Trans. Inf. Theory Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
2019	J	`jnl`	Attention-Based Pedestrian Attribute Analysis. IEEE Trans. Image Process. Zichang Tan, Yang Yang, Jun Wan, Hanyuan Hang, Guodong Guo, Stan Z. Li
2019	J	`jnl`	Best-scored Random Forest Classification. CoRR Hanyuan Hang, Xiaoyu Liu, Ingo Steinwart
2019	J	`jnl`	Best-scored Random Forest Density Estimation. CoRR Hanyuan Hang, Hongwei Wen
2019	J	`jnl`	Density-based Clustering with Best-scored Random Forest. CoRR Hanyuan Hang, Yuchao Cai, Hanfang Yang
2019	J	`jnl`	Histogram Transform Ensembles for Density Estimation. CoRR Hanyuan Hang
2019	J	`jnl`	Histogram Transform Ensembles for Large-scale Regression. CoRR Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
2019	J	`jnl`	Two-stage Best-scored Random Forest for Large-scale Regression. CoRR Hanyuan Hang, Yingyi Chen, Johan A. K. Suykens
2018	J	`jnl`	Kernel Density Estimation for Dynamical Systems. J. Mach. Learn. Res. Hanyuan Hang, Ingo Steinwart, Yunlong Feng, Johan A. K. Suykens
2018	J	`jnl`	Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. CoRR Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
2018	J	`jnl`	Optimal Learning with Anisotropic Gaussian SVMs. CoRR Hanyuan Hang, Ingo Steinwart
2016	J	`jnl`	Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. Neural Comput. Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, Johan A. K. Suykens
2016	J	`jnl`	Learning Theory Estimates with Observations from General Stationary Stochastic Processes. Neural Comput. Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens
2016	J	`jnl`	Learning theory estimates with observations from general stationary stochastic processes. CoRR Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens
2014	J	`jnl`	Fast learning from α-mixing observations. J. Multivar. Anal. Hanyuan Hang, Ingo Steinwart