Linh Ngo Van
29 papers · 2019–2026 · 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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πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π Keyword Champion (4)
π€
Dynamic Duo
(20)
ποΈ
Keyword Collector
(113)
β‘
Prolific Year Β· Prolific
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(23)
Artificial Intelligence
(15)
Core Methods
(15)
Natural Language Processing
(14)
Applications
(10)
Learning Types Β· Machine Learning
(10)
Core AI
(9)
Deep Learning
(7)
Application Areas
(7)
Learning Paradigms
(7)
Resources & Methods
(7)
Architectures
(5)
Optimization & Theory
(5)
Learning Types Β· Deep Learning
(3)
Data Science & Analytics
(2)
Keywords
knowledge distillation
(7)
continual learning
(6)
relation extraction
(6)
optimal transport
(6)
large language model
(5)
semantic alignment
(4)
few-shot learning
(4)
topic modeling
(4)
representation alignment
(4)
catastrophic forgetting
(3)
representation learning
(3)
model compression
(3)
topic coherence
(3)
cross-lingual topic modeling
(3)
document representation
(3)
contrastive learning
(3)
neural topic model
(3)
embedding learning
(2)
text embedding
(2)
text classification
(2)
Papers
Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models
EACL 2026
CTPD: Cross Tokenizer Preference Distillation
AAAI 2026
DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation
EACL 2026
GloCTM: Cross-Lingual Topic Modeling via a Global Context Space
AAAI 2026
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
ACL 2026
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
AAAI 2026
MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation
ACL 2026
Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models
ACL 2026
SRA: Span Representation Alignment for Large Language Model Distillation
ACL 2026
TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation
ACL 2026
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
AAAI 2025
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments
EMNLP 2025
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction
NAACL 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction
AAAI 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
MaGiX: A Multi-Granular Adaptive Graph Intelligence Framework for Enhancing Cross-Lingual RAG
EMNLP 2025
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
ACL 2025
Multi-Surrogate-Objective Optimization for Neural Topic Models
EMNLP 2025
Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction
NAACL 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
ToVo: Toxicity Taxonomy via Voting
NAACL 2025
XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
EMNLP 2025
Continual Relation Extraction via Sequential Multi-Task Learning
AAAI 2024
Selecting Optimal Context Sentences for Event-Event Relation Extraction
AAAI 2022
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning
COLING 2022
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users
ACML 2019