Quyen Tran - RankMe

31 papers A* 10Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models. AAAI Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le
2025	A*	`conf`	Boosting Multiple Views for pretrained-based Continual Learning. ICLR Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Q. Phung, Khoat Than, Trung Le
2025	A*	`conf`	Few-Shot, No Problem: Descriptive Continual Relation Extraction. AAAI Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen
2025	J	`jnl`	Few-Shot, No Problem: Descriptive Continual Relation Extraction. CoRR Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen
2025	J	`jnl`	Few-shot Continual Relation Extraction via Open Information Extraction. CoRR Thiem Nguyen, Anh Nguyen, Quyen Tran, Tu Vu, Diep Nguyen, Linh Ngo Van, Thien Huu Nguyen
2025	A*	`conf`	Improving Generalization with Flat Hilbert Bayesian Inference. ICML Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le
2025	A*	`conf`	Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning. CVPR Huu Binh Ta, Duc Nguyen, Quyen Tran, Toan Tran, Tung Pham
2025	—	`conf`	Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction. NAACL (Long Papers) Nguyen Hoang Anh, Quyen Tran, Thanh Xuan Nguyen, Nguyen Thi Ngoc Diep, Linh Ngo Van, Thien Huu Nguyen, Trung Le
2025	J	`jnl`	One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning. CoRR Minh Le, Bao-Ngoc Dao, Huy Nguyen, Quyen Tran, Anh Nguyen, Nhat Ho
2025	A*	`conf`	Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. ICML Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le
2025	J	`jnl`	Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. CoRR Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Nguyen, Dinh Q. Phung, Trung Le
2025	A*	`conf`	Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts. ICLR Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho
2024	J	`jnl`	Agnostic Sharpness-Aware Minimization. CoRR Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le
2024	—	`conf`	Boron-Doped Aluminum Nitride Ferroelectric Field-Effect Transistors with ZnO Semiconductor Channel. DRC Quyen Tran, John Hayden, Joseph Casamento, Jon-Paul Maria, Thomas N. Jackson
2024	J	`jnl`	Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le
2024	A*	`conf`	Enhancing Domain Adaptation through Prompt Gradient Alignment. NeurIPS Viet Hoang Phan, Tung Lam Tran, Quyen Tran, Trung Le
2024	J	`jnl`	Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR Hoang Phan, Lam Tran, Quyen Tran, Trung Le
2024	—	`conf`	Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning. AIAI (2) Diep Tran, Quyen Tran, Quy Tran, Vu Nguyen, Minh-Triet Tran
2024	J	`jnl`	Improving Generalization with Flat Hilbert Bayesian Inference. CoRR Tuan Truong, Quyen Tran, Quan Pham-Ngoc, Nhat Ho, Dinh Phung, Trung Le
2024	J	`jnl`	Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning. CoRR Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo Van, Thien Huu Nguyen, Nhat Ho, Trung Le
2024	A*	`conf`	Lifelong Event Detection via Optimal Transport. EMNLP Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen
2024	J	`jnl`	Lifelong Event Detection via Optimal Transport. CoRR Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Ngo Van Linh, Thien Huu Nguyen
2024	J	`jnl`	Optimization-derived blood input function using a kernel method and its evaluation with total-body PET for brain parametric imaging. NeuroImage Yansong Zhu, Quyen Tran, Yiran Wang, Ramsey D. Badawi, Simon R. Cherry, Jinyi Qi, Shiva Abbaszadeh, Guobao Wang
2024	A*	`conf`	Preserving Generalization of Language models in Few-shot Continual Relation Extraction. EMNLP Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen
2024	J	`jnl`	Preserving Generalization of Language models in Few-shot Continual Relation Extraction. CoRR Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Ngo Van, Thien Huu Nguyen
2024	J	`jnl`	Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts. CoRR Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho
2023	J	`jnl`	Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay. CoRR Khanh Doan, Quyen Tran, Tuan Nguyen, Dinh Q. Phung, Trung Le
2023	J	`jnl`	KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. CoRR Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le
2022	J	`jnl`	Continual Learning with Optimal Transport based Mixture Model. CoRR Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le
2022	J	`jnl`	From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
2021	J	`jnl`	From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. CoRR Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than