Thong Nguyen
16 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π§ Keyword Pioneer π Cross-Pollinator (9) π Conference Polyglot (5) π Interdisciplinary Bridge
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Interdisciplinary Bridge
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Taxonomy Completionist
(56)
π
Keyword Champion
(2)
π€
Dynamic Duo
(11)
β‘
Prolific Year
(7)
π
Century Club
(16)
ποΈ
Keyword Collector
(94)
π₯
Unstoppable
(5)
Conferences
EMNLP (6)
ACL (4)
AAAI (3)
NIPS (2)
NAACL (1)
Top co-authors
Keywords
contrastive learning
(5)
representation learning
(3)
neural topic model
(3)
angular margin
(2)
optimal transport
(2)
vision-language model
(2)
review helpfulness
(2)
temporal language grounding
(2)
multimodal learning
(2)
text classification
(1)
knowledge distillation
(1)
attention mechanism
(1)
topic modeling
(1)
information retrieval
(1)
domain generalization
(1)
self-supervised learning
(1)
video understanding
(1)
temporal modeling
(1)
model architecture
(1)
text representation
(1)
Papers
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models
EMNLP 2025
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NIPS 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
AAAI 2024
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
AAAI 2024
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
NAACL 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
ACL 2024
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
ACL 2024
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
EMNLP 2024
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
AAAI 2023
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
EMNLP 2023
Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation
EMNLP 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
ACL 2023
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
EMNLP 2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
ACL 2022
Contrastive Learning for Neural Topic Model
NIPS 2021
Enriching and Controlling Global Semantics for Text Summarization
EMNLP 2021