Biography

Quanfeng Lu is a first-year Ph.D. student at Shanghai Jiao Tong University(SJTU) and Shanghai Artificial Intelligence Laboratory, supervised by Prof. Ping Luo. He works closely with Dr. Wenqi Shao. His research interests include multimodal applications, time series analysis, and quantitative investment.

Prior to this, he obtained his B.Eng. with outstanding graduate honors from Nanjing University in 2024.

News

Selected Publications

  • GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices,
    Quanfeng Lu, Wenqi Shao, Zitao Liu, Fanqing Meng, …, Ping Luo
    Preprint, 2024. Paper, Code

  • MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI,
    Kaining Ying*, Fanqing Meng*, Jin Wang*, …, Quanfeng Lu, …, Ping Luo, Kaipeng Zhang, Wenqi Shao
    International Conference on Machine Learning (ICML), 2024. Paper, Code

  • OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM,
    Yutao Hu*, Tianbin Li*, Quanfeng Lu*, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo
    Computer Vision and Pattern Recognition (CVPR), 2024. Paper, Code

  • ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning,
    Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
    Proceedings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2024. Paper

Education

  • Sept. 2024 - June. 2029 (expected) Ph.D., Shanghai Jiao Tong University.
  • Sept. 2020 - June. 2024 B.Eng., Nanjing University.
  • Sept. 2017 - July. 2020 The Affiliated High School of South China Normal University.

Selected Honors

  • [2024] Outstanding Graduate of Nanjing University
  • [2022] National Scholarship

Services

Reviewer of ECCV 2024, IET COMPUT VIS 2024