Tue Le
5 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15)
π§
Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
AAAI (1)
ACL (1)
EMNLP (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
optimal transport
(3)
neural topic model
(2)
contrastive learning
(1)
hyperparameter optimization
(1)
knowledge distillation
(1)
topic modeling
(1)
loss function optimization
(1)
hierarchical clustering
(1)
sharpness-aware minimization
(1)
document representation
(1)
topic coherence
(1)
hyperparameter tuning
(1)
multi-objective optimization
(1)
generative model
(1)
topic model
(1)
benchmark dataset
(1)
loss function
(1)
representation alignment
(1)
flat minima
(1)
topic quality
(1)
Papers
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
AAAI 2026
HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning
ACL 2025
Multi-Surrogate-Objective Optimization for Neural Topic Models
EMNLP 2025
Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations
NAACL 2025
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
ICLR 2019