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Journal Articles
- 2024
[j2]Minh Vu
, Yunshen Huang, Shen Zeng:
Data-driven control of nonlinear systems: An online sequential approach. Syst. Control. Lett. 193: 105932 (2024)- 2022
- [j1]Minh Vu, Lisong Xu, Sebastian G. Elbaum, Wei Sun, Kevin Qiao:
Efficient Protocol Testing Under Temporal Uncertain Event Using Discrete-event Network Simulations. ACM Trans. Model. Comput. Simul. 32(2): 13:1-13:30 (2022)
Conference and Workshop Papers
- 2024
- [c15]Minh Vu, Bharat Singhal, Jr-Shin Li, Shen Zeng:
Data-driven moment-based control of linear ensemble systems. ACC 2024: 5004-5009 - 2023
- [c14]Bharat Singhal, Minh Vu, Shen Zeng, Jr-Shin Li:
An Iterative Approach to Optimal Control Design for Oscillator Networks. ACC 2023: 3466-3471 - [c13]Minh Vu, Shen Zeng:
An Iterative Online Approach to Safe Learning in Unknown Constrained Environments. CDC 2023: 7330-7335 - [c12]Minh Vu, Yuki Akiyama, Konstantinos Slavakis:
Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning. ICASSP 2023: 1-5 - 2022
- [c11]Jianfei Shao, Minh Vu, Mingrui Zhang, Asmita Jayswal, Lisong Xu:
Symbolic ns-3 for Efficient Exhaustive Testing: Design, Implementation, and Simulations. WNS3 2022: 49-56 - 2021
- [c10]Minh Vu, Shen Zeng:
Iterative optimal control synthesis for nonlinear switching systems. ACC 2021: 998-1003 - [c9]Minh Vu, Hao Fang, Shen Zeng:
Nonlinear Optimal Control Synthesis Using Basis Functions: Algorithms and Examples. CCTA 2021: 493-498 - [c8]Phuong Ha, Minh Vu, Tuan-Anh Le, Lisong Xu:
TCP BBR in Cloud Networks: Challenges, Analysis, and Solutions. ICDCS 2021: 943-953 - 2020
- [c7]Minh Vu, Shen Zeng:
Iterative Optimal Control Syntheses for Nonlinear Systems in Constrained Environments. ACC 2020: 1731-1736 - [c6]Minh Vu, Phuong Ha, Lisong Xu:
Efficient Correctness Testing of Linux Network Stack under Packet Dynamics. ICC 2020: 1-7 - 2019
- [c5]Minh Vu, Lisong Xu, Sebastian G. Elbaum, Wei Sun, Kevin Qiao:
Efficient systematic testing of network protocols with temporal uncertain events. INFOCOM 2019: 604-612 - [c4]Minh Vu, Phuong Ha, Lisong Xu:
Demo Abstract: Exploring packet dynamics through the combination of symbolic execution and random testing. INFOCOM Workshops 2019: 951-952 - [c3]Minh Vu, Rueben A. Banalagay, Dongqing Zhang, Alejandro Rivas, Loris Fichera, Robert J. Webster III, Robert F. Labadie, Jack H. Noble:
Analysis of middle ear morphology for design of a transnasal endoscope. Medical Imaging: Image-Guided Procedures 2019: 109512S - 2018
- [c2]Minh Vu, Daniel Newman, Joshua Vaughan:
Designing Input Shapers Using Reinforcement Learning. ACC 2018: 228-233 - [c1]Wes Lloyd, Minh Vu, Baojia Zhang, Olaf David, George H. Leavesley:
Improving Application Migration to Serverless Computing Platforms: Latency Mitigation with Keep-Alive Workloads. UCC Companion 2018: 195-200
Informal and Other Publications
- 2024
- [i9]Yuki Akiyama, Minh Vu, Konstantinos Slavakis:
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering. CoRR abs/2403.20020 (2024) - [i8]Minh Vu, Revathy Ravuri, Angus Muir, Charles Mackie, Andrew Weightman, Simon Watson, Tim J. Echtermeyer:
Fin ray-inspired, Origami, Small Scale Actuator for Fin Manipulation in Aquatic Bioinspired Robots. CoRR abs/2407.16821 (2024) - [i7]Minh Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai:
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. CoRR abs/2408.03909 (2024) - [i6]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, Hoan Nguyen, Erman Tjiputra, Quang Tran, Jianyang Xie, Yanda Meng, Binod Bhattarai, Zhaorui Tan, Hongbin Liu, Hong Seng Gan, Wei Wang, Xi Yang, Qiufeng Wang, Jionglong Su, Kaizhu Huang, Angelos Stefanidis, Min Guo, Bo Du, Rong Tao, Minh Vu, Guoyan Zheng, Yalin Zheng, Francisco Vasconcelos, Danail Stoyanov, Daniel S. Elson, Ferdinando Rodriguez y Baena, Anh Nguyen:
CathAction: A Benchmark for Endovascular Intervention Understanding. CoRR abs/2408.13126 (2024) - [i5]Minh Vu, Konstantinos Slavakis:
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization. CoRR abs/2409.04374 (2024) - [i4]Geigh Zollicoffer, Minh Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai:
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. CoRR abs/2409.08255 (2024) - 2022
- [i3]Minh Vu, Yuki Akiyama, Konstantinos Slavakis:
Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning. CoRR abs/2210.11317 (2022) - [i2]Yuki Akiyama, Minh Vu, Konstantinos Slavakis:
online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering. CoRR abs/2210.11755 (2022) - 2020
- [i1]Behnaz Rezvani, Thomas Conroy, Luke Beckwith, Matthew Bozzay, Trevor Laffoon, David McFeeters, Yijia Shi, Minh Vu, William Diehl:
Efficient Simultaneous Deployment of Multiple Lightweight Authenticated Ciphers. IACR Cryptol. ePrint Arch. 2020: 609 (2020)
Coauthor Index
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