Li Erran Li
Scholar

Li Erran Li

Google Scholar ID: GkMfzy4AAAAJ
IEEE Fellow and ACM Fellow, AWS AI, Amazon
Machine learningNLPcomputer visionsystems
Citations & Impact
All-time
Citations
7,910
 
H-index
44
 
i10-index
96
 
Publications
20
 
Co-authors
145
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • IEEE Fellow (2013)
  • ACM Distinguished Scientist (2014)
  • ACM Fellow (2017)
  • Area Chair for NeurIPS 2024 and CVPR 2024
  • 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