Tran, Quan Hung

11 publications

AAAI 2025 Multi-Reference Preference Optimization for Large Language Models Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh

CVPR 2024 NAYER: Noisy Layer Data Generation for Efficient and Effective Data-Free Knowledge Distillation Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Phung

ICLR 2023 An Additive Instance-Wise Approach to Multi-Class Model Interpretation Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung

TMLR 2023 Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung

ICLR 2022 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Phung

UAI 2022 Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Phung

ICLRW 2022 ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

ICCV 2021 Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Hung Tran, Benjamin Van Durme, Alan Yuille

UAI 2021 Most: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Phung

ICCV 2021 STEM: An Approach to Multi-Source Domain Adaptation with Guarantees Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

IJCAI 2021 TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung