21 citations · 26 across the 4 of their papers we have counts for
4 papers
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Zhuangwei Shi, Yang Hu, Guangliang Mo +1
Stock market plays an important role in the economic development. Due to the complex volatility of the stock market, the research and prediction on the change of the stock price, c…
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving
Xiaoming Zeng, Zhendong Wang, Yang Hu
Autonomous driving demands accurate perception and safe decision-making. To achieve this, automated vehicles are now equipped with multiple sensors (e.g., camera, Lidar, etc.), ena…
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs
Ling Jiang, Yang Hu, Xilin Xia +2
The shortage of high-resolution urban digital elevation model (DEM) datasets has been a challenge for modelling urban flood and managing its risk. A solution is to develop effectiv…
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation
Yang Hu, Andrea Soltoggio, Russell Lock +1
In this paper, we propose a novel fully convolutional two-stream fusion network (FCTSFN) for interactive image segmentation. The proposed network includes two sub-networks: a two-s…