- 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.