Architecture and methodology of a SoPC with 3.25Gbps CDR based SERDES and 1Gbps dynamic phase alignment. - Ranianand Venkata; Wilson Wong; Tina Tran; Vinson Chan; Tim Hoang; Henry Lui; Uinh Ton; Sergey Shomurryev; Chong Lee; Shoujun Waiig; Huy Ngo; Malik Kdhani; et al. (CICC, 2003)

Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. - Tin Lai; Fabio Ramos 001; Gilad Francis (ICRA, 2019)

UAV-Based Situational Awareness System Using Deep Learning. - Rúben Geraldes; Artur Goncalves; Tin Lai; Mathias Villerabel; Wenlong Deng; Ana Salta; Kotaro Nakayama; Yutaka Matsuo; Helmut Prendinger (IEEE Access, 2019)

Occ-Traj120: Occupancy Maps with Associated Trajectories. - Tin Lai; Weiming Zhi; Fabio Ramos 001 (CoRR, 2019)

Local Sampling-based Planning with Sequential Bayesian Updates. - Tin Lai; Philippe Morere; Fabio Ramos 001; Gilad Francis (CoRR, 2019)

OCTNet: Trajectory Generation in New Environments from Past Experiences. - Weiming Zhi; Tin Lai; Lionel Ott; Gilad Francis; Fabio Ramos 001 (CoRR, 2019)

Learning to Plan Optimally with Flow-based Motion Planner. - Tin Lai; Fabio Ramos 001 (CoRR, 2020)

Robust Hierarchical Planning with Policy Delegation. - Tin Lai; Philippe Morere (CoRR, 2020)

Bayesian Local Sampling-Based Planning. - Tin Lai; Philippe Morere; Fabio Ramos 001; Gilad Francis (IEEE Robotics Autom. Lett., 2020)

Parallelised Diffeomorphic Sampling-based Motion Planning. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (CoRL, 2021)

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. - Weiming Zhi; Tin Lai; Lionel Ott; Fabio Ramos 001 (ICRA, 2021)

PlannerFlows: Learning Motion Samplers with Normalising Flows. - Tin Lai; Fabio Ramos 001 (IROS, 2021)

Trajectory Generation in New Environments from Past Experiences. - Weiming Zhi; Tin Lai; Lionel Ott; Fabio Ramos 001 (IROS, 2021)

Rapidly-exploring Random Forest: Adaptively Exploits Local Structure with Generalised Multi-Trees Motion Planning. - Tin Lai (CoRR, 2021)

Learning ODEs via Diffeomorphisms for Fast and Robust Integration. - Weiming Zhi; Tin Lai; Lionel Ott; Edwin V. Bonilla; Fabio Ramos 001 (CoRR, 2021)

Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph. - Tin Lai; Fabio Ramos 001 (CoRR, 2021)

sbp-env: Sampling-based Motion Planners' Testing Environment. - Tin Lai (CoRR, 2021)

Learning Non-Stationary Time-Series with Dynamic Pattern Extractions. - Xipei Wang; Haoyu Zhang; Yuanbo Zhang; Meng Wang; Jiarui Song; Tin Lai; Matloob Khushi (CoRR, 2021)

sbp-env: A Python Package for Sampling-based Motion Planner and Samplers. - Tin Lai (J. Open Source Softw., 2021)

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. - Weiming Zhi; Tin Lai; Lionel Ott; Edwin V. Bonilla; Fabio Ramos 001 (ICML, 2022)

LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph. - Tin Lai; Fabio Ramos 001 (IROS, 2022)

Discover Life Skills for Planning as Bandits via Observing and Learning How the World Works. - Tin Lai (IROS, 2022)

Diffeomorphic Transforms for Generalised Imitation Learning. - Weiming Zhi; Tin Lai; Lionel Ott; Fabio Ramos 001 (L4DC, 2022)

L4KDE: Learning for KinoDynamic Tree Expansion. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (CoRR, 2022)

Water and Sediment Analyse Using Predictive Models. - Xiaoting Xu; Tin Lai; Sayka Jahan; Farnaz Farid (CoRR, 2022)

Discover Life Skills for Planning with Bandits via Observing and Learning How the World Works. - Tin Lai (CoRR, 2022)

A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding. - Tin Lai (CoRR, 2022)

A Machine Learning Predictive Model to Detect Water Quality and Pollution. - Xiaoting Xu; Tin Lai; Sayka Jahan; Farnaz Farid; Abubakar Bello (Future Internet, 2022)

Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning. - Tin Lai; Fabio Ramos 001 (IEEE Robotics Autom. Lett., 2022)

Feasibility Study of Constructing a Screening Tool for Adolescent Diabetes Detection Applying Machine Learning Methods. - Hansel Hu; Tin Lai; Farnaz Farid (Sensors, 2022)

A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion. - Tin Lai (Sensors, 2022)

Learning Nonstationary Time-Series With Dynamic Pattern Extractions. - Xipei Wang; Haoyu Zhang; Yuanbo Zhang; Meng Wang; Jiarui Song; Tin Lai; Matloob Khushi (IEEE Trans. Artif. Intell., 2022)

Real-time Aerial Detection and Reasoning on Embedded-UAVs. - Tin Lai (CoRR, 2023)

Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models. - Tin Lai; Yukun Shi; Zicong Du; Jiajie Wu; Ken Fu; Yichao Dou; Ziqi Wang (CoRR, 2023)

Path Signatures for Diversity in Probabilistic Trajectory Optimisation. - Lucas Barcelos; Tin Lai; Rafael Oliveira 001; Paulo V. K. Borges; Fabio Ramos 001 (CoRR, 2023)

Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care. - Tin Lai (CoRR, 2023)

Real-Time Aerial Detection and Reasoning on Embedded-UAVs in Rural Environments. - Tin Lai (IEEE Trans. Geosci. Remote. Sens., 2023)

Do One Thing and Do It Well: Delegate Responsibilities in Classical Planning. - Tin Lai; Philippe Morere (IROS, 2024)

Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (IROS, 2024)

Stein Movement Primitives for Adaptive Multi-Modal Trajectory Generation. - Zeya Yin; Tin Lai; Subhan Khan; Jayadeep Jacob; Yonghui Li 001; Fabio Ramos 001 (IROS, 2024)

Grasping by parallel shape matching. - Wenzheng Zhang; Fahira Afzal Maken; Tin Lai; Fabio Ramos 001 (CoRR, 2024)

Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis. - Tin Lai; Farnaz Farid; Abubakar Bello; Fariza Sabrina (Cybersecur., 2024)

Transfer Learning for Assessing Heavy Metal Pollution in Seaports Sediments. - Tin Lai; Farnaz Farid; Yueyang Kuan; Xintian Zhang (CoRR, 2025)