Financial Text Analysis
Investigate DL/RL methods for processing overlength, noisy and obscure financial-related text, e.g. financial news, reports, posts, etc., particularly on summarization and sentiment analysis.
Financial Behavioral Data Mining
Investigate pattern discovery, clustering, and representation learning methods for temporal, heterogenous and large-scale financial behavior data, especially for anomaly detection applications.
Refinement for Online Ads
Investigate machine learning methods for improving CTR/CVR for online advertisement recommendations, with special focus on cold-start prediction and model calibrations.