Linh Tran
10 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (14) π Conference Polyglot (8) π Academic Marathon (7) π Renaissance Researcher (5)
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Taxonomy Completionist
(25)
π§
Keyword Pioneer
π
Conference Polyglot
(8)
π
Keyword Champion
(2)
π
Century Club
(10)
π
Trend Setter
ποΈ
Keyword Collector
(57)
β
The Questioner
Conferences
CVPR (2)
ICML (2)
ACL (1)
EMNLP (1)
ICLR (1)
IJCNLP (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
clinical conversation
(3)
clinical entity extraction
(2)
hierarchical model
(2)
relation extraction
(2)
named entity recognition
(2)
image generation
(1)
feature learning
(1)
representation learning
(1)
curriculum learning
(1)
hierarchical classification
(1)
uncertainty quantification
(1)
stochastic gradient descent
(1)
variational inference
(1)
clinical text mining
(1)
joint learning
(1)
mean field approximation
(1)
weak supervision
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
domain generalization
(1)
Papers
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
ICLR 2025
CauchyβSchwarz Regularized Autoencoder
JMLR 2022
JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints
CVPR 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
NIPS 2022
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
How Good is the Bayes Posterior in Deep Neural Networks Really?
ICML 2020
Learning to Infer Entities, Properties and their Relations from Clinical Conversations
EMNLP 2019
Extracting Symptoms and their Status from Clinical Conversations
ACL 2019
Learning to Infer Entities, Properties and their Relations from Clinical Conversations
IJCNLP 2019
GAGAN: Geometry-Aware Generative Adversarial Networks
CVPR 2018