Hanyuan Hang
11 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Keywords
ensemble learning
(4)
convergence rate
(4)
anomaly detection
(3)
density estimation
(3)
unsupervised learning
(3)
gradient boosting
(2)
domain adaptation
(2)
nearest neighbor
(2)
k-nearest neighbor
(2)
kernel logistic regression
(1)
kernel density estimation
(1)
convex optimization
(1)
partial label learning
(1)
nonparametric density estimation
(1)
dynamical system
(1)
support vector machine
(1)
large-scale regression
(1)
mode estimation
(1)
weakly supervised learning
(1)
transfer learning
(1)
Papers
Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets
JMLR 2025
Bagged Regularized k-Distances for Anomaly Detection
JMLR 2025
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
ICLR 2025
Class Probability Matching with Calibrated Networks for Label Shift Adaption
ICLR 2024
Random Forest Density Estimation
ICML 2022
Under-bagging Nearest Neighbors for Imbalanced Classification
JMLR 2022
GBHT: Gradient Boosting Histogram Transform for Density Estimation
ICML 2021
Histogram Transform Ensembles for Large-scale Regression
JMLR 2021
Leveraged Weighted Loss for Partial Label Learning
ICML 2021
Boosted Histogram Transform for Regression
ICML 2020
Kernel Density Estimation for Dynamical Systems
JMLR 2018