Qizhen Lan

About Me

I am currently a Postdoctoral Research Fellow in the Department of Ctr-Secure AI for Healthcare at The University of Texas Health Science, Houston, working under the supervision of Dr. Xiaoqian Jiang. Prior to this, I completed my PhD in Computer Science at the University of Alabama at Birmingham, where I had the honor of working with Dr. Qing Tian. My primary research interests lie in Computer Vision and Machine Learning, with a focus on AI model compression (including knowledge distillation and pruning), autonomous driving perception, and adversarial robustness. Recently, my work has also expanded into Medical AI, large-scale vision models, and multi-modal learning frameworks, driven by the growing demand for scalable and generalizable AI systems in complex real-world environments.

I am happy to collaborate and/or answer questions about my research and my previous study at UAB and current experience at UTHealth. If you are interested in research collaboration or have any inquiries about my experience, please send me an email.

Research Interests

• Computer Vision: Object Detection, Tracking, Segmentaion, 3D image/video recognition
• Model Compression/Acceleration: Knowledge Distillation, Network Pruning
• Privacy-Preserving Learning: Federated Learning, Adversarial Attack/Training

News

• [May. 2025] One paper about Knowledge Distillation is accepted to ICCV 2025.
• [May. 2025] Our paper about Knowledge Graph learning is accepted to ECML-PKDD 2025.
• [May. 2025] I start my post-doc at UTHealth, Houston, with Dr. Jiang
• [May. 2025] I got my Ph.D. from University of Alabama at Birmingham!
• [Mar. 2025] Our paper about Object Tracking Distillation is accepted to IV 2025.
• [Oct. 2024] Our paper about Detector Robustness is accepted to WACV 2025 — 🔥 Oral Presentation
• [Sept. 2024] Our paper about Medical Image Segmentation is accepted to ICTAI 2024.
• [Jan. 2024] I transfer with my advisor (Dr. Tian) to University of Alabama at Birmingham as a computer science Ph.D student.
• [Oct. 2023] Our paper about Gradient Distillation is accepted to WACV 2024.
• [Sept. 2023] Our paper about HOI detection is accepted to ICDMW 2023.
• [Aug. 2022] Our paper about Multiple Teacher Distillation is accepted to T-IV 2022.
• [May. 2022] Our paper about Adaptive Instance Distillation is accepted to ICPR 2022.

Selected Publications

Services

Conference Reviewers

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
• IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

Journal Reviewers

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Multimedia (TMM)