19 citations · 36 across the 5 of their papers we have counts for
6 papers
Why Existing Machine Learning Methods Fails At Extracting the Information of Future Returns Out of Historical Sctock Prices : the Curve-Shape-Feature and Non-Curve-Shape-Feature Modes
Jia-Yao Yang, Hao Zhu, Yue-Jie Hou +2
The financial time series analysis is important access to touch the complex laws of financial markets. Among many goals of the financial time series analysis, one is to construct a…
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
Hao Zhu, Piotr Koniusz
Although Graph Convolutional Networks (GCNs) have demonstrated their power in various applications, the graph convolutional layers, as the most important component of GCN, are stil…
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
Hao Zhu, Chaoyou Fu, Qianyi Wu +3
Recent studies have shown that the performance of forgery detection can be improved with diverse and challenging Deepfakes datasets. However, due to the lack of Deepfakes datasets…
Lets Play Music: Audio-driven Performance Video Generation
Hao Zhu, Yi Li, Feixia Zhu +2
We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music aud…
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Nitin Kamra, Hao Zhu, Dweep Trivedi +2
Trajectory prediction for scenes with multiple agents and entities is a challenging problem in numerous domains such as traffic prediction, pedestrian tracking and path planning. W…
Using Graph Neural Networks for Mass Spectrometry Prediction
Hao Zhu, Liping Liu, Soha Hassoun
Detecting and quantifying products of cellular metabolism using Mass Spectrometry (MS) has already shown great promise in many biological and biomedical applications. The biggest c…