Quanfeng Lu
Scholar

Quanfeng Lu

Google Scholar ID: NlBS3nMAAAAJ
Ph.D. student, Shanghai Jiao Tong University
Multimodal LearningLarge Language Model
Citations & Impact
All-time
Citations
728
 
H-index
8
 
i10-index
8
 
Publications
11
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • ChartAssistant accepted to ACL’24 Findings.
  • MMT-Bench accepted to ICML’24.
  • OmniMedVQA accepted to CVPR’24.
  • GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices, Preprint, 2024.
  • MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI, ICML, 2024.
  • OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM, CVPR, 2024.
  • ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning, ACL Findings, 2024.
Research Experience
  • Conducting research at Shanghai Jiao Tong University and Shanghai Artificial Intelligence Laboratory.
Background
  • A first-year Ph.D. student at Shanghai Jiao Tong University, with research interests in multimodal applications, time series analysis, and quantitative investing. Supervised by Prof. Ping Luo and closely working with Dr. Wenqi Shao.
Miscellany
  • Reviewer of ECCV 2024 and IET COMPUT VIS 2024