Evaluation of Machine Learning Methods on Large-Scale Spatio-temporal Data for Photovoltaic Power Prediction

An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?

Logic Design of Point Cloud Based Convolutional Neural Network Accelerators

Control Barrier Functions for Safe CPS Under Sensor Faults and Attacks

Motion Segmentation for Autonomous Robots Using 3D Point Cloud Data