Quyen Tran
12 papers · 2024–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (35) π Renaissance Researcher (6)
π
Conference Polyglot
(8)
π
Grand Slam
β‘
Prolific Year
(8)
π
Century Club
(11)
Conferences
AAAI (2)
EMNLP (2)
ICLR (2)
ICML (2)
CVPR (1)
ICCV (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
continual learning
(4)
catastrophic forgetting
(3)
few-shot learning
(3)
relation extraction
(3)
optimal transport
(2)
adversarial training
(1)
incremental learning
(1)
domain adaptation
(1)
data augmentation
(1)
multi-task learning
(1)
event detection
(1)
unsupervised domain adaptation
(1)
weight perturbation
(1)
prompt learning
(1)
neural network optimization
(1)
knowledge distillation
(1)
model compression
(1)
mutual information maximization
(1)
multi-source domain adaptation
(1)
wasserstein distance
(1)
Papers
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
AAAI 2026
Few-Shot, No Problem: Descriptive Continual Relation Extraction
AAAI 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
CVPR 2025
Boosting Multiple Views for pretrained-based Continual Learning
ICLR 2025
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
ICML 2025
Improving Generalization with Flat Hilbert Bayesian Inference
ICML 2025
Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction
NAACL 2025
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
ICCV 2025
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
ICLR 2025
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
EMNLP 2024
Lifelong Event Detection via Optimal Transport
EMNLP 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
NIPS 2024