Has several public research project repositories including Disentangled_ST_VAE (for measuring disentangled generative spatio-temporal representation), LSTM-Autoencoder-Parking (application of LSTM Auto-encoder in parking prediction), and FairST_DRL (learning fair representations of heterogeneous urban data by disentangled representation learning). These projects indicate his active research in the fields of artificial intelligence and machine learning.
Research Experience
Involved in multiple research projects, such as parking prediction using LSTM Auto-encoder and fair spatio-temporal deep reinforcement learning.