Haiping Lu
9 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(3)
Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
independent component analysis
(2)
domain adaptation
(1)
text generation
(1)
face recognition
(1)
instruction tuning
(1)
side information
(1)
hilbert-schmidt independence criterion
(1)
brain decoding
(1)
gaussian noise
(1)
neuroimaging data
(1)
post-ocr correction
(1)
historical newspaper
(1)
large language model
(1)
cumulant operator
(1)
pseudo euclidean
(1)
gradient iteration
(1)
transfer learning
(1)
cumlant-based method
(1)
Papers
Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
MICCAI 2025
Leveraging LLMs for Post-OCR Correction of Historical Newspapers
COLING 2024
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
MICCAI 2024
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments
AAAI 2020
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator
ACML 2016
Probabilistic Rank-One Matrix Analysis with Concurrent Regularization
IJCAI 2016
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA
ACML 2016
Semi-Orthogonal Multilinear PCA with Relaxed Start
IJCAI 2015
Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection
IJCAI 2013