Quyen Tran

According to our database1, Quyen Tran authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Optimization-derived blood input function using a kernel method and its evaluation with total-body PET for brain parametric imaging.
NeuroImage, 2024

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts.
CoRR, 2024

Preserving Generalization of Language models in Few-shot Continual Relation Extraction.
CoRR, 2024

Connective Viewpoints of Signal-to-Noise Diffusion Models.
CoRR, 2024

Enhancing Domain Adaptation through Prompt Gradient Alignment.
CoRR, 2024

Agnostic Sharpness-Aware Minimization.
CoRR, 2024

Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Boron-Doped Aluminum Nitride Ferroelectric Field-Effect Transistors with ZnO Semiconductor Channel.
Proceedings of the Device Research Conference, 2024

2023
Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay.
CoRR, 2023

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All.
CoRR, 2023

2022
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.
Neurocomputing, 2022

Continual Learning with Optimal Transport based Mixture Model.
CoRR, 2022


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