Towards Understanding Graph Message-passing Networks in Irregular Spatial Data - Zexian Huang (University of Melbourne, Parkville, Victoria, Australia, 2024)

Synthetic lidar point cloud generation using deep generative models for improved driving scene object recognition - Zhengkang Xiang; Zexian Huang; Kourosh Khoshelham (Image Vis. Comput., 2024)

Contrastive Graph Autoencoder for Shape-based Polygon Retrieval from Large Geometry Datasets - Zexian Huang; Kourosh Khoshelham; Martin Tomko (Trans. Mach. Learn. Res., 2024)

LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes - Zexian Huang; Kourosh Khoshelham; Gunditj Mirring Traditional Owners Corporation; Martin Tomko (CoRR, 2024)

Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network - Zexian Huang; Kourosh Khoshelham; Martin Tomko (CoRR, 2024)

Multi-UAV Trajectory Planning and Tracking Via Improved Informed-RRT* and MPC Algorithms - Haosheng Jiang; Zexian Huang; Ziyue Ma; Zhenxing Zhang; Jian Wu; Xubin Ping (5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023, Hangzhou, China, December 1-3, 2023, 2023)

A Breast Cancer Diagnosis Method Based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm - Zexian Huang; Daqi Chen (IEEE Access, 2022)