Yanhua Li
8 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Academic Marathon (6) π Renaissance Researcher (7) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(25)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Pioneer
ποΈ
Keyword Collector
(50)
Conferences
NIPS (4)
AAAI (3)
WACV (1)
Top co-authors
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)
reduced rank regression
(1)
matrix denoising
(1)
bilevel optimization
(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
NIPS 2024
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models
AAAI 2023
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
WACV 2023
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
NIPS 2021
Adaptive Reduced Rank Regression
NIPS 2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
NIPS 2020
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
AAAI 2019