Quyen Tran

According to our database, Quyen Tran authored at least 28 papers between 2022 and 2026.

Collaborative distances:

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

2026

MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models.

Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning.

Minh Le, Bao-Ngoc Dao, Huy Nguyen, Quyen Tran, Anh Nguyen, Nhat Ho

CoRR, September, 2025

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models.

Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Nguyen, Dinh Q. Phung, Trung Le

CoRR, June, 2025

Few-shot Continual Relation Extraction via Open Information Extraction.

Thiem Nguyen, Anh Nguyen, Quyen Tran, Tu Vu, Diep Nguyen, Linh Ngo Van, Thien Huu Nguyen

CoRR, February, 2025

Token-Level Self-Play with Importance-Aware Guidance for Large Language Models.

Tue Le, Hoang Tran Vuong, Quyen Tran, Linh Van Ngo, Mehrtash Harandi, Trung Le

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction.

Nguyen Hoang Anh, Quyen Tran, Thanh Xuan Nguyen, Nguyen Thi Ngoc Diep, Linh Ngo Van, Thien Huu Nguyen, Trung Le

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Improving Generalization with Flat Hilbert Bayesian Inference.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models.

Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Boosting Multiple Views for pretrained-based Continual Learning.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective.

Hoang Phan, Lam Tran, Quyen Tran, Ngoc N. Tran, Tuan Truong, Qi Lei, Nhat Ho, Dinh Q. Phung, Trung Le

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning.

Huu Binh Ta, Duc Nguyen, Quyen Tran, Toan Tran, Tung Pham

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Few-Shot, No Problem: Descriptive Continual Relation Extraction.

Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning.

Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo Van, Thien Huu 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

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 Domain Adaptation through Prompt Gradient Alignment.

Viet Hoang Phan, Tung Lam Tran, Quyen Tran, Trung Le

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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 Van, Thien Huu 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