A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI. - Phi Vu Tran (CoRR, 2016)

Formation control of multi-UAVs using negative-imaginary systems theory. - Vu Phi Tran; Matthew Garratt; Ian R. Petersen (ASCC, 2017)

Learning to Make Predictions on Graphs with Autoencoders. - Phi Vu Tran (DSAA, 2018)

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. - Hung The Nguyen 001; Vu Phi Tran; Tung Nguyen 003; Matthew Garratt; Kathryn Kasmarik; Michael Barlow 001; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2018)

Multi-Task Graph Autoencoders. - Phi Vu Tran (CoRR, 2018)

Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments. - Vu Phi Tran; Matthew Garratt; Ian R. Petersen (CoRR, 2018)

Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory. - Vu Phi Tran; Matthew Garratt; Ian R. Petersen (CoRR, 2018)

Semi-Supervised Learning with Self-Supervised Networks. - Phi Vu Tran (CoRR, 2019)

Formation Control of Multi-Vehicle Systems using Negative-Imaginary-Systems Theory in Uncertain Environments. - Phi Vu Tran (2019)

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. - Hung The Nguyen 001; Tung Nguyen 003; Vu Phi Tran; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (CoRR, 2020)

SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama. - Phi Vu Tran (CVPR, 2021)

SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama. - Phi Vu Tran (CoRR, 2021)

Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2021)

Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory. - Vu Phi Tran; Matthew A. Garratt; Ian R. Petersen (IFAC J. Syst. Control., 2021)

Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor. - Vu Phi Tran; Mohamed Abdalla Mabrok; Matthew A. Garratt; Ian R. Petersen (IFAC J. Syst. Control., 2021)

Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt (IEEE Trans. Aerosp. Electron. Syst., 2021)

Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Ind. Electron., 2021)

Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Ind. Electron., 2021)

Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Ind. Informatics, 2021)

Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs. - Shadi Abpeikar; Kathryn Kasmarik; Phi Vu Tran; Matt Garratt (AI, 2022)

Frontier-led swarming: Robust multi-robot coverage of unknown environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Shadi Abpeikar (Swarm Evol. Comput., 2022)

Boosting Semi-Supervised Few-Shot Object Detection with SoftER Teacher. - Phi Vu Tran (CoRR, 2023)

Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. - Asanka G. Perera; Vu Phi Tran; Sreenatha G. Anavatti; Kathryn Kasmarik; Matthew Garratt (CoRR, 2023)

Multi-gas source localization and mapping by flocking robots. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Alex S. Leong; Mohammad Zamani (Inf. Fusion, 2023)

Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. - Vu Phi Tran; Mohamed Abdalla Mabrok; Sreenatha G. Anavatti; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Cybern., 2023)

Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE CAA J. Autom. Sinica, 2023)

Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE Trans. Intell. Transp. Syst., 2023)

LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection. - Phi Vu Tran (AISTATS, 2024)

Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Jiefei Wang; Phi Vu Tran; Md Meftahul Ferdaus (ECC, 2024)

Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2024)

Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments. - Vu Phi Tran; Matthew A. Garratt; Sreenatha G. Anavatti; Sridhar Ravi (Swarm Evol. Comput., 2024)

Robust Adaptive Fuzzy Control for Second-Order Euler-Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory. - Vu Phi Tran; Mohamed Abdalla Mabrok; Sreenatha G. Anavatti; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Cybern., 2024)

Resilient Flight Control for a 32g Nano Helicopter. - Praveen Kumar Muthusamy; Vu Phi Tran; Matthew Garratt; Sreenatha G. Anavatti; Hemanshu R. Pota; Jia Ming Kok (IEEE Trans. Ind. Electron., 2024)

SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection. - Phi Vu Tran (CVPR, 2025)