Rong Yin
10 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Silver 🔥 Unstoppable · Bronze
💎
Century Club · Bronze
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(7)
Optimization & Theory
(7)
Learning Types · Machine Learning
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Application Areas
(1)
Architectures
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
kernel ridge regression
(2)
conjugate gradient
(2)
generalization bound
(2)
communication efficiency
(2)
multi-class classification
(2)
distributed learning
(2)
semi-supervised learning
(2)
nyström method
(2)
kernel learning
(2)
excess risk
(1)
graph-based learning
(1)
self-supervised learning
(1)
robustness
(1)
nystrom method
(1)
kernel approximation
(1)
computational efficiency
(1)
laplacian regularization
(1)
comparative learning
(1)
local rademacher complexity
(1)
wavelet transform
(1)
Papers
SafeMap: Robust HD Map Construction from Incomplete Observations
ICML 2025
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation
ECCV 2024
Distributed Randomized Sketching Kernel Learning
AAAI 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means
NeurIPS 2022
Distributed Nyström Kernel Learning with Communications
ICML 2021
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
AAAI 2020
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
IJCAI 2019
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
IJCAI 2019
Multi-Class Learning: From Theory to Algorithm
NeurIPS 2018