Tin Lai

Orcid: 0000-0003-0641-5250

According to our database¹, Tin Lai authored at least 38 papers between 2003 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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On csauthors.net:

Bibliography

2023

Real-Time Aerial Detection and Reasoning on Embedded-UAVs in Rural Environments.

[BibT_eX]

[DOI]

Tin Lai

IEEE Trans. Geosci. Remote. Sens., 2023

Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care.

[BibT_eX]

[DOI]

Tin Lai

CoRR, 2023

Path Signatures for Diversity in Probabilistic Trajectory Optimisation.

[BibT_eX]

[DOI]

CoRR, 2023

Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Real-time Aerial Detection and Reasoning on Embedded-UAVs.

[BibT_eX]

[DOI]

Tin Lai

CoRR, 2023

2022

Learning Nonstationary Time-Series With Dynamic Pattern Extractions.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion.

[BibT_eX]

[DOI]

Tin Lai

Sensors, 2022

Feasibility Study of Constructing a Screening Tool for Adolescent Diabetes Detection Applying Machine Learning Methods.

[BibT_eX]

[DOI]

Hansel Hu

Tin Lai

Farnaz Farid

Sensors, 2022

Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning.

[BibT_eX]

[DOI]

Tin Lai

Fabio Ramos

IEEE Robotics Autom. Lett., 2022

A Machine Learning Predictive Model to Detect Water Quality and Pollution.

[BibT_eX]

[DOI]

Future Internet, 2022

A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding.

[BibT_eX]

[DOI]

Tin Lai

CoRR, 2022

Discover Life Skills for Planning with Bandits via Observing and Learning How the World Works.

[BibT_eX]

[DOI]

Tin Lai

CoRR, 2022

Water and Sediment Analyse Using Predictive Models.

[BibT_eX]

[DOI]

CoRR, 2022

L4KDE: Learning for KinoDynamic Tree Expansion.

[BibT_eX]

[DOI]

CoRR, 2022

Diffeomorphic Transforms for Generalised Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Discover Life Skills for Planning as Bandits via Observing and Learning How the World Works.

[BibT_eX]

[DOI]

Tin Lai

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph.

[BibT_eX]

[DOI]

Tin Lai

Fabio Ramos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

sbp-env: A Python Package for Sampling-based Motion Planner and Samplers.

[BibT_eX]

[DOI]

Tin Lai

J. Open Source Softw., 2021

Learning Non-Stationary Time-Series with Dynamic Pattern Extractions.

[BibT_eX]

[DOI]

CoRR, 2021

sbp-env: Sampling-based Motion Planners' Testing Environment.

[BibT_eX]

[DOI]

Tin Lai

CoRR, 2021

Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph.

[BibT_eX]

[DOI]

Tin Lai

Fabio Ramos

CoRR, 2021

Learning ODEs via Diffeomorphisms for Fast and Robust Integration.

[BibT_eX]

[DOI]

CoRR, 2021

Rapidly-exploring Random Forest: Adaptively Exploits Local Structure with Generalised Multi-Trees Motion Planning.

[BibT_eX]

[DOI]

Tin Lai

CoRR, 2021

Trajectory Generation in New Environments from Past Experiences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PlannerFlows: Learning Motion Samplers with Normalising Flows.

[BibT_eX]

[DOI]

Tin Lai

Fabio Ramos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Parallelised Diffeomorphic Sampling-based Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Bayesian Local Sampling-Based Planning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Robust Hierarchical Planning with Policy Delegation.

[BibT_eX]

[DOI]

Tin Lai

Philippe Morere

CoRR, 2020

Learning to Plan Optimally with Flow-based Motion Planner.

[BibT_eX]

[DOI]

Tin Lai

Fabio Ramos

CoRR, 2020

2019

OCTNet: Trajectory Generation in New Environments from Past Experiences.

[BibT_eX]

[DOI]

CoRR, 2019

Local Sampling-based Planning with Sequential Bayesian Updates.

[BibT_eX]

[DOI]

CoRR, 2019

Occ-Traj120: Occupancy Maps with Associated Trajectories.

[BibT_eX]

[DOI]

Tin Lai

Weiming Zhi

Fabio Ramos

CoRR, 2019

UAV-Based Situational Awareness System Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees.

[BibT_eX]

[DOI]

Tin Lai

Fabio Ramos

Gilad Francis

Proceedings of the International Conference on Robotics and Automation, 2019

2003

Architecture and methodology of a SoPC with 3.25Gbps CDR based SERDES and 1Gbps dynamic phase alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Custom Integrated Circuits Conference, 2003

Tin Lai

Timeline

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On csauthors.net:

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