Rong Yin
10 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
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Conferences
AAAI (3)
ICML (2)
IJCAI (2)
NIPS (2)
ECCV (1)
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Keywords
distributed learning
(2)
semi-supervised learning
(2)
kernel ridge regression
(2)
nyström method
(2)
communication efficiency
(2)
generalization bound
(2)
conjugate gradient
(2)
kernel learning
(2)
multi-class classification
(2)
nystrom method
(1)
comparative learning
(1)
local rademacher complexity
(1)
spectral graph theory
(1)
divide and conquer
(1)
nyström approximation
(1)
generalization error bound
(1)
risk bound
(1)
node classification
(1)
randomized sketching
(1)
randomized sketch
(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
NIPS 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
NIPS 2018