Qizhen Lan
Scholar

Qizhen Lan

Google Scholar ID: hz8cb2AAAAAJ
UTHealth Houston
Computer VisionKnowledge DistillationObject detectionMedical ImagingStatistical Modeling
Citations & Impact
All-time
Citations
149
 
H-index
6
 
i10-index
5
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publications:
  • - ICCV 2025: Paper on Knowledge Distillation accepted
  • - ECML-PKDD 2025: Paper on Knowledge Graph learning accepted
  • - WACV 2025: Paper on Detector Robustness accepted (Oral Presentation)
  • - ICTAI 2024: Paper on Medical Image Segmentation accepted
  • - WACV 2024: Paper on Gradient-Guided Knowledge Distillation accepted
  • - ICDMW 2023: Paper on HOI detection accepted
  • - T-IV 2022: Paper on Multiple Teacher Distillation accepted
  • - ICPR 2022: Paper on Adaptive Instance Distillation accepted
  • - Preprints:
  • - CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs
  • - Conference Reviewers: CVPR 2023, WACV 2025
  • - Journal Reviewers: TCSVT, TNNLS, TMM
Research Experience
  • - Currently a Postdoctoral Research Fellow at the McWilliams School of Biomedical Informatics, The University of Texas Health Science, Houston, working on Computer Vision and Machine Learning related research.
Education
  • - PhD in Computer Science from the University of Alabama at Birmingham, supervised by Dr. Qing Tian
  • - Time: Obtained PhD in 2025
  • - Current Position: Postdoctoral Research Fellow at UTHealth, Houston, supervised by Dr. Xiaoqian Jiang
Background
  • - Research Interests: Computer Vision and Machine Learning, focusing on AI model compression (including knowledge distillation and pruning), autonomous driving perception, and adversarial robustness.
  • - Recent research has expanded into Medical AI, large-scale vision models, and multi-modal learning frameworks.
Miscellany
  • Happy to collaborate and/or answer questions about his research and experience.
Co-authors
0 total
Co-authors: 0 (list not available)