Hoang Tran Vuong
4 papers · 2025–2026 · 4 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 · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Models
(1)
Optimization
(1)
Resources & Methods
(1)
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