Selected Projects
Project I: Dissemination of Multimodal Information in Directed Graph
Keywords: Graph Machine Learning, Graph Signal Processing, White-box Neural Network
Based upon the latest graph machine learning and interpretable machine learning approaches, this research aims to design a data-driven yet interpretable framework towards modeling multimodal information dissemination in network scenarios. Applications of this research include opinion dissemination modeling, trust network data verification, etc.
Project II: Trust Modeling in Network Scenarios
Keywords: Evidence Theory, Trust Network, Graph Theory, Neural Netwrok
This research contains a series of approaches for modeling trust relations in network scenarios accurately, efficiently and practically. Applications of this research include online disinformation analysis, troll account detection, and trust assessment for network traffic, etc.
Project III: Social Media Analysis
Keywords: Topic Modeling, Extreme Large Multlabel Classification, Sentiment Analysis
In this research, we employ NLP and machine learning approaches to develop a series of opinion analysis systems that provide business insights from social media data in an automatic, timely and interpretable manner. This research encompasses my work as the industry lead.
