Sang Dinh
8 papers · 2025–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
⭐
Rising Star
(8)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(6)
Natural Language Processing
(4)
Applications · Natural Language Processing
(4)
Learning Types
(4)
Optimization & Theory
(3)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Applications · Data Science & Analytics
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
optimal transport
(3)
document representation
(3)
neural topic model
(2)
few-shot learning
(2)
short text
(2)
relation extraction
(2)
topic modeling
(2)
contrastive learning
(2)
embedding learning
(2)
representation learning
(2)
continual learning
(2)
partial annotation
(1)
topic model
(1)
vision-language model
(1)
text embedding
(1)
legal domain
(1)
flat minima
(1)
cross-lingual retrieval
(1)
topic distribution
(1)
auxiliary loss function
(1)
Papers
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction
NAACL 2025
GloCOM: A Short Text Neural Topic Model via Global Clustering Context
NAACL 2025
HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning
ACL 2025
Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains
NAACL 2025
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
ACL 2025
More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning
ICCV 2025
Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations
NAACL 2025
Topic Modeling for Short Texts via Optimal Transport-Based Clustering
ACL 2025