Area of research
Computational Mechanics · Computer Vision and Pattern Recognition
Research interest
Research focused on Artificial intelligence and Discriminative model, with related work in Metric (unit), Sketch, Benchmark (surveying). Notable publications include '3D deep shape descriptor', 'DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval', and 'Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval'.
Recycling of scrap steel slag and waste rubber in asphalt mixtures: evaluation of road performance and environmental impact analysis
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
Spatial information enhancement network for 3D object detection from point cloud
Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
Impact of Risk and Benefit on the Suppliers’ and Managers’ Intention of Shared Parking in Residential Areas
Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval
Deep Multimetric Learning for Shape-Based 3D Model Retrieval
DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
Deep Nonlinear Metric Learning for 3-D Shape Retrieval
Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis
Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval