Linh Tran
9 papers · 2018–2025 · 7 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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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(55)
❓
The Questioner
📈
Trend Setter
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(4)
Models
(4)
Architectures
(3)
Core Methods
(3)
Learning Types
(3)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Clinical
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
hierarchical model
(2)
clinical conversation
(2)
differential privacy
(1)
representation learning
(1)
shortcut learning
(1)
stochastic gradient descent
(1)
image generation
(1)
weak supervision
(1)
domain generalization
(1)
variational inference
(1)
curriculum learning
(1)
uncertainty quantification
(1)
relation extraction
(1)
named entity recognition
(1)
prompt learning
(1)
feature learning
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
stochastic gradient
(1)
federated learning
(1)
Papers
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
ICLR 2025
Cauchy–Schwarz Regularized Autoencoder
JMLR 2022
JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints
CVPR 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
NeurIPS 2022
How Good is the Bayes Posterior in Deep Neural Networks Really?
ICML 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
Extracting Symptoms and their Status from Clinical Conversations
ACL 2019
Learning to Infer Entities, Properties and their Relations from Clinical Conversations
EMNLP 2019
GAGAN: Geometry-Aware Generative Adversarial Networks
CVPR 2018