Jun Li
Scholar

Jun Li

Google Scholar ID: t9vB5TgAAAAJ
Technical University of Munich
Vision and LanguageMulti-Modal LearningCross modality Generation
Citations & Impact
All-time
Citations
117
 
H-index
5
 
i10-index
3
 
Publications
13
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Publications: Multiple papers accepted by top conferences such as NeurIPS 2025, WACV 2026; Awards: MICCAI 2025 Outstanding Reviewer Award; Invited as a reviewer for ACM Computing Surveys.
Research Experience
  • Ph.D. Student: School of Computation, Information and Technology, Technical University of Munich (since Sep 2023); Involved in multiple research projects including NOVA Benchmark, K2Sight, etc.
Education
  • Ph.D. Student: Technical University of Munich, supervised by Prof. Julia Schnabel (since Sep 2023); M. Eng. Degree: University of Chinese Academy of Sciences, supervised by Prof. Ying Hu (completed Jul 2023).
Background
  • Research Interests: Intersection of deep learning and healthcare, particularly in the analysis of medical images; Professional Field: Vision and Language models, Cross-Modality Generation, Multi-Modality Learning; Brief Introduction: Aiming to improve the practicality of deep learning algorithms.
Miscellany
  • Hobbies: Skateboarding, piano, cycling, listening to music, fitness, programming; Motto: Keep your eyes on the stars, and your feet on the ground.