Frequently co-organizes workshops at top conferences (CVPR, ICCV, ICML, NeurIPS) on autonomous driving, 3D vision, human-in-the-loop learning, etc.
Delivered numerous tutorials and invited talks on autonomous driving, 3D deep learning, and deep reinforcement learning at ICCV, ICML, O’Reilly AI Conference, etc.
Research Experience
Conducting research on Machine Learning Systems and Algorithms at AWS AI, leading projects such as Michelangelo, Robot Driver, and Voice Assistant
Research on Graph Parallel Processing, developing GraphFrames and GraphTau
Working on Machine Learning and Big Data for Cellular Networks, including LTE Radio Analytics, CellIQ, and CellScope
Leading the CellSDN project on Software-Defined Cellular Networks, including sub-projects PRAN, SoftRAN, RadioVisor, SoftCell, and SoftMoW
Researching Massive MIMO Systems to scale cellular networks using a large number of antennas
Exploring Mobile Cloud Computing for mobile applications