Continual Learning with Optimal Transport based Mixture Model. - Quyen Tran; Hoang Phan; Khoat Than; Dinh Q. Phung; Trung Le 001 (CoRR, 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 001; Khoat Than (Neurocomputing, 2022)

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 003; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay. - Khanh Doan; Quyen Tran; Tuan Nguyen 004; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

Boron-Doped Aluminum Nitride Ferroelectric Field-Effect Transistors with ZnO Semiconductor Channel. - Quyen Tran; John Hayden; Joseph Casamento; Jon-Paul Maria; Thomas N. Jackson (DRC, 2024)

Lifelong Event Detection via Optimal Transport. - Viet Dao; Van-Cuong Pham; Quyen Tran; Thanh-Thien Le; Linh Ngo Van 001; Thien Huu Nguyen (EMNLP, 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 001; Linh Van Ngo 001; Thien Huu Nguyen (EMNLP, 2024)

Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning. - Diep Tran; Quyen Tran; Quy Tran; Vu Nguyen; Minh-Triet Tran (AIAI (2), 2024)

Enhancing Domain Adaptation through Prompt Gradient Alignment. - Viet Hoang Phan; Tung Lam Tran; Quyen Tran; Trung Le 001 (NeurIPS, 2024)

Agnostic Sharpness-Aware Minimization. - Van-Anh Nguyen; Quyen Tran; Tuan Truong; Thanh-Toan Do; Dinh Quoc Phung; Trung Le 001 (CoRR, 2024)

Enhancing Domain Adaptation through Prompt Gradient Alignment. - Hoang Phan; Lam Tran; Quyen Tran; Trung Le 001 (CoRR, 2024)

Connective Viewpoints of Signal-to-Noise Diffusion Models. - Khanh Doan; Long Tung Vuong; Tuan Nguyen 004; Anh Tuan Bui; Quyen Tran; Thanh-Toan Do; Dinh Phung 001; Trung Le 001 (CoRR, 2024)

Improving Generalization with Flat Hilbert Bayesian Inference. - Tuan Truong; Quyen Tran; Quan Pham-Ngoc; Nhat Ho; Dinh Phung 001; Trung Le 001 (CoRR, 2024)

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning. - Quyen Tran; Minh Le; Tuan Truong; Dinh Phung 001; Linh Ngo Van 001; Thien Huu Nguyen; Nhat Ho; Trung Le 001 (CoRR, 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)

Few-Shot, No Problem: Descriptive Continual Relation Extraction. - Nguyen Xuan Thanh; Anh Duc Le; Quyen Tran; Thanh-Thien Le; Linh Ngo Van 001; Thien Huu Nguyen (AAAI, 2025)

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning. - Huu Binh Ta; Duc Nguyen; Quyen Tran; Toan Tran 003; Tung Pham 001 (CVPR, 2025)

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts. - Minh Le; Chau Nguyen; Huy Nguyen; Quyen Tran; Trung Le 001; Nhat Ho (ICLR, 2025)

Boosting Multiple Views for pretrained-based Continual Learning. - Quyen Tran; Tung Lam Tran; Khanh Doan; Toan Tran 003; Dinh Q. Phung; Khoat Than; Trung Le 001 (ICLR, 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 001; Thien Huu Nguyen; Trung Le 001 (NAACL (Long Papers), 2025)

Few-shot Continual Relation Extraction via Open Information Extraction. - Thiem Nguyen; Anh Nguyen; Quyen Tran; Tu Vu; Diep Nguyen; Linh Ngo Van 001; Thien Huu Nguyen (CoRR, 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 001 (CoRR, 2025)