Tue Le
5 papers · 2019–2026 · 5 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 ยท Silver
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Silver
๐บ๏ธ
Taxonomy Completionist
(15)
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Optimization & Theory
(4)
Deep Learning
(2)
Architectures
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Models
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
optimal transport
(3)
neural topic model
(2)
representation learning
(1)
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)
binary code
(1)
topic model
(1)
benchmark dataset
(1)
loss function
(1)
representation alignment
(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