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Quyen Tran
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2020 – today
- 2024
- [j2]Yansong Zhu
, Quyen Tran, Yiran Wang, Ramsey D. Badawi
Optimization-derived blood input function using a kernel method and its evaluation with total-body PET for brain parametric imaging. NeuroImage 293: 120611 (2024) - [c4]Quyen Tran, John Hayden, Joseph Casamento, Jon-Paul Maria, Thomas N. Jackson:
Boron-Doped Aluminum Nitride Ferroelectric Field-Effect Transistors with ZnO Semiconductor Channel. DRC 2024: 1-2 - [c3]Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Ngo, Thien Nguyen:
Lifelong Event Detection via Optimal Transport. EMNLP 2024: 12610-12621 - [c2]Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen:
Preserving Generalization of Language models in Few-shot Continual Relation Extraction. EMNLP 2024: 13771-13784 - [c1]Diep Tran, Quyen Tran, Quy Tran, Vu Nguyen, Minh-Triet Tran:
Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning. AIAI (2) 2024: 32-46 - [i11]Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le:
Agnostic Sharpness-Aware Minimization. CoRR abs/2406.07107 (2024) - [i10]Hoang Phan, Lam Tran, Quyen Tran, Trung Le:
Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR abs/2406.09353 (2024) - [i9]Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le:
Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR abs/2408.04221 (2024) - [i8]Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Ngo Van, Thien Huu Nguyen:
Preserving Generalization of Language models in Few-shot Continual Relation Extraction. CoRR abs/2410.00334 (2024) - [i7]Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho:
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts. CoRR abs/2410.02200 (2024) - [i6]Tuan Truong, Quyen Tran, Quan Pham-Ngoc, Nhat Ho, Dinh Phung, Trung Le:
Improving Generalization with Flat Hilbert Bayesian Inference. CoRR abs/2410.04196 (2024) - [i5]Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo, Thien Nguyen, Nhat Ho, Trung Le:
Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning. CoRR abs/2410.04327 (2024) - 2023
- [i4]Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le:
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. CoRR abs/2311.15414 (2023) - [i3]Khanh Doan, Quyen Tran, Tuan Nguyen, Dinh Q. Phung, Trung Le:
Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay. CoRR abs/2312.06710 (2023) - 2022
- [j1]Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing 479: 89-105 (2022) - [i2]Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le:
Continual Learning with Optimal Transport based Mixture Model. CoRR abs/2211.16780 (2022) - 2021
- [i1]Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than:
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. CoRR abs/2107.12325 (2021)
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