Hang Qiu
Scholar

Hang Qiu

Google Scholar ID: 9i_MgykAAAAJ
University of California, Riverside
Cooperative PerceptionAutonomous DrivingEdgeMLMobile Computing and Networking
Citations & Impact
All-time
Citations
1,635
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Publications: BEVCalib (CoRL '25), CMP (IROS '25 and RA-L), SEE-V2X (Sensys '25), CATS (TVT), Harbor (Sensys '24), ELM (ECCV '24), WOMD-Lidar (ICRA '24), MCAL (ICLR '23), etc.
  • Recipient of NSF Ideas Lab Award (2025)
  • Recipient of OASIS IFA Award (2025, 2023)
  • Awarded US DOT Intersection Safety Challenge Award Stage 1B (2025) and ARPA-I Intersection Safety Challenge Award (2024)
  • Served on TPCs for top-tier conferences: Mobicom, Mobisys, Sensys, Infocom, NSDI, VehicleSec, INFOCOM, etc.
  • Reviewer for ICLR, NeurIPS, CoRL, AAAI, CVPR, ICCV, ECCV, etc.
  • Co-organized academic events: SoCal Robotic Symposium’24, Mobisys’24 Workshop, CVPR’24 Autonomous Driving Challenge, etc.
  • Guest editor for IEEE Vehicle Technology Magazine special issue on vehicle metaverse (2023)
  • Track co-chair for ICA3PP’23 (2023)
  • Invited speaker at ICLR, ICTC, TACPS, and other venues
Research Experience
  • Assistant Professor at UCR leading CISL
  • Former software engineer at Waymo (Alphabet’s self-driving car company)
  • Postdoctoral scholar at Stanford University’s Platform Lab
  • Worked at Microsoft Research and IBM Research
  • Collaborated with General Motors for over five years
  • Joined the USDOT CARNATIONS Center in 2024
Background
  • Assistant Professor of ECE and CSE at the University of California, Riverside (UCR)
  • Leads the Collaborative Intelligence Systems Lab (CISL), focusing on cooperative robots and networked autonomous systems
  • Faculty member of the Center for Robotics and Intelligent Systems (CRIS) and Center for Environmental Research and Technology (CE-CERT) at UCR
  • Research lies at the intersection of machine learning systems, robotics, cyber-physical systems, edge computing, and networking
  • Aims to integrate robot intelligence, edge/cloud intelligence, and human intelligence to enable collaborative capabilities beyond individual systems