Junhui Wang
11 papers · 2007–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🏃 Academic Marathon (17) 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(2)
🏃
Academic Marathon
(17)
🐝
Cross-Pollinator
(12)
💎
Century Club
(11)
📈
Trend Setter
🗃️
Keyword Collector
(55)
Conferences
JMLR (9)
NIPS (2)
Top co-authors
Keywords
support vector machine
(2)
kernel methods
(2)
semi-supervised learning
(2)
variable selection
(2)
robust pca
(1)
causal discovery
(1)
matrix factorization
(1)
reproducing kernel hilbert space
(1)
domain adaptation
(1)
singular value decomposition
(1)
collaborative filtering
(1)
low-rank matrix recovery
(1)
total variation
(1)
multi-kernel learning
(1)
brain functional connectivity
(1)
robust principal component analysis
(1)
conditional independence
(1)
penalized regression
(1)
kernel-based methods
(1)
large margin
(1)
Papers
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NIPS 2024
Transfer learning for tensor Gaussian graphical models
JMLR 2024
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches
JMLR 2023
Projected Robust PCA with Application to Smooth Image Recovery
JMLR 2022
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
JMLR 2022
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
NIPS 2021
Smooth neighborhood recommender systems
JMLR 2019
Model-free Variable Selection in Reproducing Kernel Hilbert Space
JMLR 2016
Consistent Selection of Tuning Parameters via Variable Selection Stability
JMLR 2013
On Efficient Large Margin Semisupervised Learning: Method and Theory
JMLR 2009
Large Margin Semi-supervised Learning
JMLR 2007