Tung Nguyen
18 papers · 2020–2026 · 7 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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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (45)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(96)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Core Methods
(10)
Deep Learning
(9)
Artificial Intelligence
(8)
Architectures
(8)
Optimization & Theory
(8)
Core AI
(7)
Natural Language Processing
(5)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Models
(4)
Applications
(3)
Resources & Methods
(3)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
optimal transport
(5)
topic modeling
(4)
neural topic model
(4)
large language model
(3)
weather forecasting
(3)
in-context learning
(3)
document representation
(3)
semantic alignment
(2)
transformer architecture
(2)
representation alignment
(2)
topic coherence
(2)
contrastive learning
(2)
foundation model
(2)
short text
(2)
knowledge distillation
(1)
self-supervised learning
(1)
black-box optimization
(1)
embedding learning
(1)
few-shot learning
(1)
sequence modeling
(1)
Papers
Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models
EACL 2026
SRA: Span Representation Alignment for Large Language Model Distillation
ACL 2026
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
LICO: Large Language Models for In-Context Molecular Optimization
ICLR 2025
Multi-Surrogate-Objective Optimization for Neural Topic Models
EMNLP 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
XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
EMNLP 2025
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
NeurIPS 2024
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization
EMNLP 2024
Probing the Decision Boundaries of In-context Learning in Large Language Models
NeurIPS 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
NeurIPS 2024
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
NeurIPS 2023
ClimaX: A foundation model for weather and climate
ICML 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design
NeurIPS 2023
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
ICML 2022
Predictive Coding for Locally-Linear Control
ICML 2020