Area of research
Ocean Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Maritime Navigation and Safety, Maritime Ports and Logistics, Maritime Transport Emissions and Efficiency, and Robotic Path Planning Algorithms.
Robust and efficient inland vessel draft detection based on multi-task learning and weighted directed graphs
Imageless imagery in aphantasia revealed by early visual cortex decoding
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autononous Driving
Immunosequencing identifies signatures of T cell responses for early detection of nasopharyngeal carcinoma
Grouting defect detection of bridge tendon ducts using impact echo and deep learning via a two-stage strategy
Collaborative optimization of vessel scheduling and tugboat allocation in seaports using a multi-action deep reinforcement learning framework
Research on Intelligent Collision Avoidance and Obstacle Avoidance of Unmanned Surface Vehicle in Multitarget Encounter Scenario
World model-based reinforcement learning for autonomous ship safe collision avoidance
Room temperature rubidium–doping strategies for high–luminance perovskite quantum dot light emitting diodes
A new model of intelligent traffic organization service for channel systems based on the concept of e-navigation
COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making
An approach for traffic pattern recognition integration of ship AIS data and port geospatial features
Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images
Data-driven prediction of dimensionless quantities for semi-infinite target penetration by integrating machine-learning and feature selection methods
Improved D* Lite Algorithm for Ship Route Planning
Predicting the Remaining Life of Centrifugal Pump Bearings Using the KPCA–LSTM Algorithm
Ship Anomalous Behavior Detection in Port Waterways Based on Text Similarity and Kernel Density Estimation
Mixed traffic conditions of autonomous and human-driven ships: Assessing channel traffic capacity bounds and optimizing channel management
Object-Oriented Multi-Scale Segmentation and Multi-Feature Fusion-Based Method for Identifying Typical Fruit Trees in Arid Regions Using Sentinel-1/2 Satellite Images
Navigation Path Recognition on Orchard Using Improved Lightweight Segformer
A chromosome‐level genome assembly of radish (<i>Raphanus sativus</i> L.) reveals insights into genome adaptation and differential bolting regulation
A Ship Route Planning Method under the Sailing Time Constraint
Evaluation of ship collision risk in ships’ routeing waters: A Gini coefficient approach using AIS data
Disruption management-based coordinated scheduling for vessels and ship loaders in bulk ports
Research on Vertical SEC Centrifugal Pump Multi-Fault Diagnosis Based on WPT–SVM
Recent Developments and Knowledge in Intelligent and Safe Marine Navigation
Semantic Recognition of Ship Motion Patterns Entering and Leaving Port Based on Topic Model
Traffic Organization Service for Maritime Autonomous Surface Ships (MASS) with Different Degrees of Autonomy
Traffic Organization Service for Maritime Autonomous Surface Ships (MASS) with Different Degrees of Autonomy
BGAT: Aspect-based sentiment analysis based on bidirectional GRU and graph attention network