Enlightenments, like accidents, happen only to prepared minds.
--Herbert Simon


NLP for Financial Applications

Investigate DL/RL methods for processing overlength, noisy and obscure financial-related text, e.g. financial news, reports, posts, etc., particularly on sentiment analysis, summarization, NER and etc. 


Financial Behavioral Data Mining

Investigate supervised, semi-supervised and unsupervised 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 of online ads recommendations, with special focus on cold-start prediction, model calibrations and delayed feedback modeling.

© Last modified on Nov. 2021 by Xiang Ao

How to develop your own website - Go now