Yanhua Li
8 papers · 2019–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(50)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(4)
Learning Types
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
time series forecasting
(3)
stochastic gradient descent
(1)
intent classification
(1)
hyperparameter learning
(1)
policy learning
(1)
hierarchical clustering
(1)
ensemble learning
(1)
deep learning
(1)
probability estimation
(1)
hierarchical representation
(1)
gradient descent
(1)
representation learning
(1)
precision matrix
(1)
high-dimensional regression
(1)
survival analysis
(1)
machine learning
(1)
matrix denoising
(1)
bilevel optimization
(1)
multivariate time series
(1)
model compression
(1)
Papers
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
AAAI 2025
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NeurIPS 2024
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
WACV 2023
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models
AAAI 2023
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
NeurIPS 2021
Adaptive Reduced Rank Regression
NeurIPS 2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
NeurIPS 2020
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
AAAI 2019