Ming-Liang Zhang (张明亮)  

Research Scientist/Staff Engineer

Future Living Lab, Taobao and Tmall Group, Alibaba


About me


I work as a Research Scientist/Staff Engineer at Alibaba now in Beijing, collaborating with Dr. Jun Song. I received my Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences under the supervision of Professor Cheng-Lin Liu. My recent research interests include Multimodal Large Language Model, Multimodal Mathmatical Reasoning, Scene Parsing etc.

News

  • [05/2024] One co-author paper accepted by ACL-24
  • [05/2024] One co-first-author paper accepted by ACL-24
  • [06/2023] Glad and honored to join Baidu as a research intern
  • [04/2023] One first-author paper accepted by IJCAI-23
  • [11/2022] One first-author paper accepted to the 2nd MATH-AI Workshop at NeurIPS 2022
  • [09/2022] One first-author paper accepted by Journal of Pattern Recognition
  • [07/2022] One co-author paper accepted by ICPR-22
  • [04/2022] One first-author paper accepted by IJCAI-22
  • [12/2021] Pleased to join SenseTime as a research intern

    Education

    Selected Publications

    Selected Competition

    • CVPR 2020 workshop: AliProducts Challenge: Large-scale Product Recognition
      Ming-Liang Zhang, Baole Wei and Yirong Yang
      Team Name: UCASTAR
      Ranking: 5 / 688 [Report][Code]

    • CCF 2019 Big Data & Computing Intelligence Contest: ID Card Elements Extraction based on OCR
      Ming-Liang Zhang, Baole Wei, Chen Du and Jingzhong Jiang
      Team Name: 民间 baseline
      Ranking: 5 / 1727 [Report]

    • 2017 America Mathematical Contest In Modeling (MCM)
      Yujie Sun, Mingliang Zhang and Teng Sun
      Faculty Advisor: Xianfa Jiao
      Ranking: Meritorious Winner (for top 5% teams)

    Experience

    Academic Service

  • Reviewer, IEEE Trans. Image Processing
  • Reviewer, PRCV 2022/2023
  • Reviewer, International Journal on Document Analysis and Recognition (IJDAR)
  • Selected Honors

  • Ruwei Dai Scholarship, 2023
  • Outstanding Undergraduate, Anhui, 2018
  • National Scholarship (for top 1% students), 2016
  • National Scholarship (for top 1% students), 2015

  • © Ming-Liang Zhang | Last updated: Dec. 2023