Quyen Tran

According to our database, Quyen Tran authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Yansong Zhu, Quyen Tran, Yiran Wang, Ramsey D. Badawi, Simon R. Cherry, Jinyi Qi, Shiva Abbaszadeh, Guobao Wang

NeuroImage, 2024

Lifelong Event Detection via Optimal Transport.

Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Ngo Van Linh, Thien Huu Nguyen

CoRR, 2024

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning.

Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo, Thien Nguyen, Nhat Ho, Trung Le

CoRR, 2024

Improving Generalization with Flat Hilbert Bayesian Inference.

Tuan Truong, Quyen Tran, Quan Pham-Ngoc, Nhat Ho, Dinh Phung, Trung Le

CoRR, 2024

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

Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho

CoRR, 2024

Connective Viewpoints of Signal-to-Noise Diffusion Models.

Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le

CoRR, 2024

Enhancing Domain Adaptation through Prompt Gradient Alignment.

Hoang Phan, Lam Tran, Quyen Tran, Trung Le

CoRR, 2024

Agnostic Sharpness-Aware Minimization.

Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le

CoRR, 2024

Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning.

Diep Tran, Quyen Tran, Quy Tran, Vu Nguyen, Minh-Triet Tran

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

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

Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Lifelong Event Detection via Optimal Transport.

Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Ngo, Thien Nguyen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Boron-Doped Aluminum Nitride Ferroelectric Field-Effect Transistors with ZnO Semiconductor Channel.

Quyen Tran, John Hayden, Joseph Casamento, Jon-Paul Maria, Thomas N. Jackson

Proceedings of the Device Research Conference, 2024

2023

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

Khanh Doan, Quyen Tran, Tuan Nguyen, Dinh Q. Phung, Trung Le

CoRR, 2023

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

Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le

CoRR, 2023

2022

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

Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than

Neurocomputing, 2022

Continual Learning with Optimal Transport based Mixture Model.

Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le

CoRR, 2022