Designing Input Shapers Using Reinforcement Learning. - Minh Vu; Daniel Newman; Joshua Vaughan (ACC, 2018)

Improving Application Migration to Serverless Computing Platforms: Latency Mitigation with Keep-Alive Workloads. - Wes Lloyd; Minh Vu; Baojia Zhang; Olaf David; George H. Leavesley (UCC Companion, 2018)

Demo Abstract: Exploring packet dynamics through the combination of symbolic execution and random testing. - Minh Vu; Phuong Ha; Lisong Xu (INFOCOM Workshops, 2019)

Efficient systematic testing of network protocols with temporal uncertain events. - Minh Vu; Lisong Xu; Sebastian G. Elbaum; Wei Sun 044; Kevin Qiao (INFOCOM, 2019)

Analysis of middle ear morphology for design of a transnasal endoscope. - Minh Vu; Rueben A. Banalagay; Dongqing Zhang; Alejandro Rivas; Loris Fichera; Robert J. Webster III; Robert F. Labadie; Jack H. Noble (Image-Guided Procedures, 2019)

Iterative Optimal Control Syntheses for Nonlinear Systems in Constrained Environments. - Minh Vu; Shen Zeng (ACC, 2020)

Efficient Correctness Testing of Linux Network Stack under Packet Dynamics. - Minh Vu; Phuong Ha; Lisong Xu (ICC, 2020)

Efficient Simultaneous Deployment of Multiple Lightweight Authenticated Ciphers. - Behnaz Rezvani; Thomas Conroy; Luke Beckwith; Matthew Bozzay; Trevor Laffoon; David McFeeters; Yijia Shi; Minh Vu; William Diehl (IACR Cryptol. ePrint Arch., 2020)

Iterative optimal control synthesis for nonlinear switching systems. - Minh Vu; Shen Zeng (ACC, 2021)

Nonlinear Optimal Control Synthesis Using Basis Functions: Algorithms and Examples. - Minh Vu; Hao Fang; Shen Zeng (CCTA, 2021)

TCP BBR in Cloud Networks: Challenges, Analysis, and Solutions. - Phuong Ha; Minh Vu; Tuan-Anh Le; Lisong Xu (ICDCS, 2021)

Symbolic ns-3 for Efficient Exhaustive Testing: Design, Implementation, and Simulations. - Jianfei Shao; Minh Vu; Mingrui Zhang; Asmita Jayswal; Lisong Xu (WNS3, 2022)

online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering. - Yuki Akiyama; Minh Vu; Konstantinos Slavakis (CoRR, 2022)

Efficient Protocol Testing Under Temporal Uncertain Event Using Discrete-event Network Simulations. - Minh Vu; Lisong Xu; Sebastian G. Elbaum; Wei Sun 044; Kevin Qiao (ACM Trans. Model. Comput. Simul., 2022)

An Iterative Approach to Optimal Control Design for Oscillator Networks. - Bharat Singhal; Minh Vu; Shen Zeng; Jr-Shin Li (ACC, 2023)

An Iterative Online Approach to Safe Learning in Unknown Constrained Environments. - Minh Vu; Shen Zeng (CDC, 2023)

Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning. - Minh Vu; Yuki Akiyama; Konstantinos Slavakis (ICASSP, 2023)

Data-driven moment-based control of linear ensemble systems. - Minh Vu; Bharat Singhal; Jr-Shin Li; Shen Zeng (ACC, 2024)

VietSing: A High-quality Vietnamese Singing Voice Corpus. - Minh Vu; Zhou Wei; Binit Bhattarai; Kah Kuan Teh; Tran Huy Dat (APSIPA, 2024)

Work-in-Progress:ACPO: An AI-Enabled Compiler Framework. - Amir H. Ashouri; Muhammad Asif Manzoor; Minh Vu; Raymond Zhang; Ziwen Wang; Angel Zhang; Bryan Chan; Tomasz S. Czajkowski; Yaoqing Gao (CASES, 2024)

Scalable Verification of Multi-ACK Properties in Loss-Based Congestion Control Implementations. - Minh Vu; Hamid Bagheri; Lisong Xu; Wei Sun 044; Mingrui Zhang (ICNP, 2024)

VN-SLU: A Vietnamese Spoken Language Understanding Dataset. - Tuyen Tran; Khanh Le; Ngoc Dang Nguyen; Minh Vu; Huyen Ngo; Woomyoung Park; Thi Thu Trang Nguyen (INTERSPEECH, 2024)

Fin ray-inspired, Origami, Small Scale Actuator for Fin Manipulation in Aquatic Bioinspired Robots. - Minh Vu; Revathy Ravuri; Angus Muir; Charles Mackie; Andrew Weightman; Simon Watson 001; Tim J. Echtermeyer (CoRR, 2024)

CathAction: A Benchmark for Endovascular Intervention Understanding. - Baoru Huang; Tuan Van Vo; Chayun Kongtongvattana; Giulio Dagnino; Dennis Kundrat; Wenqiang Chi; Mohamed E. M. K. Abdelaziz; Trevor M. Y. Kwok; Tudor Jianu; Tuong Do; Hieu Le; Minh Nguyen; et al. (CoRR, 2024)

Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization. - Minh Vu; Konstantinos Slavakis (CoRR, 2024)

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. - Manish Bhattarai; Ryan Barron; Maksim Ekin Eren; Minh Vu; Ves Grantcharov; Ismael Boureima; Valentin G. Stanev; Cynthia Matuszek; Vladimir I. Valtchinov; Kim Ø. Rasmussen; Boian S. Alexandrov (CoRR, 2024)

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. - Manish Bhattarai; Minh Vu; Javier E. Santos; Ismael Boureima; Daniel O'Malley (CoRR, 2024)

Data-driven control of nonlinear systems: An online sequential approach. - Minh Vu; Yunshen Huang; Shen Zeng (Syst. Control. Lett., 2024)

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering. - Yuki Akiyama; Minh Vu; Konstantinos Slavakis (IEEE Trans. Signal Process., 2024)

PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. - Roman Colman; Minh Vu; Manish Bhattarai; Martin Ma; Hari S. Viswanathan; Daniel O'Malley; Javier E. Santos (WACV, 2025)

FedEFM: Federated Endovascular Foundation Model with Unseen Data. - Tuong Do; Nghia Vu; Tudor Jianu; Baoru Huang; Minh Vu; Jionglong Su; Erman Tjiputra; Quang D. Tran; Te-Chuan Chiu; Anh Nguyen 003 (CoRR, 2025)