Heng Lian
10 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (7) π Cross-Pollinator (9) πΊοΈ Taxonomy Completionist (26) π§ Keyword Pioneer
π
Conference Polyglot
(3)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(52)
π
Century Club
(10)
Conferences
JMLR (7)
NIPS (2)
AAAI (1)
Top co-authors
Research topics
Keywords
quantile regression
(3)
tucker decomposition
(2)
support vector machine
(2)
variable selection
(2)
tensor decomposition
(2)
convergence rate
(2)
curriculum learning
(1)
covariate shift
(1)
feature selection
(1)
sparse estimation
(1)
parameter estimation
(1)
reproducing kernel hilbert space
(1)
distributed learning
(1)
nonparametric regression
(1)
nonparametric estimation
(1)
nonparametric statistics
(1)
functional data analysis
(1)
rademacher complexity
(1)
high-dimensional regression
(1)
attention mechanism
(1)
Papers
Metric-Agnostic Continual Learning for Sustainable Group Fairness
AAAI 2025
Optimal subsampling for high-dimensional partially linear models via machine learning methods
JMLR 2025
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization
JMLR 2024
HGDL: Heterogeneous Graph Label Distribution Learning
NIPS 2024
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
NIPS 2022
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions
JMLR 2022
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification
JMLR 2022
High-dimensional quantile tensor regression
JMLR 2020
Ultra-High Dimensional Single-Index Quantile Regression
JMLR 2020
Divide-and-Conquer for Debiased $l_1$-norm Support Vector Machine in Ultra-high Dimensions
JMLR 2018