Qing Tian
Scholar

Qing Tian

Google Scholar ID: gHuVioYAAAAJ
University of Alabama at Birmingham
Computer VisionMachine LearningDeep LearningAutonomous Driving
Citations & Impact
All-time
Citations
325
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple journal and conference papers, such as 'Saliency and location aware pruning of deep visual detectors for autonomous driving' (Neurocomputing, 2025), 'DSAA: Cross-Modal Transferable Double Sparse Adversarial Attacks from Images to Videos' (Neurocomputing, 2025), etc. He is the PI of the NSF-funded project 'CRII:RI: Deep neural network pruning for fast and reliable visual detection in self-driving vehicles', Grant No. NSF 2153404, 2412285, 2022 - 2025, $149,343.00.
Research Experience
  • Before joining UAB, he worked as an assistant professor at Bowling Green State University, an applied scientist intern at Amazon Visual Search, and a software developer at Nakisa Inc.
Education
  • Ph.D. from the Department of Electrical and Computer Engineering at McGill University, Canada, under the co-supervision of James Clark and Tal Arbel.
Background
  • Currently an Assistant Professor of Computer Science at the University of Alabama at Birmingham, USA. His primary research interests lie in Computer Vision and Machine Learning, particularly neural network compression; autonomous driving perception; neural architecture search; adversarial AI.
Co-authors
0 total
Co-authors: 0 (list not available)