Ming-Liang Zhang (张明亮)
Future Living Lab, Taobao and Tmall Group, Alibaba |
![]() |
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.
Institute of Automation of Chinese Academy of Sciences (CASIA)
Sep. 2018 - Jan. 2024
PhD in Pattern Recognition and Intelligent Systems
China, Beijing
Hefei University of Technology (HFUT)
Sep. 2014 - Jul. 2018
B.E. in Information and Computing Science
China, Hefei
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram
Learning to Understand Plane Geometry Diagram
Towards prior gap and representation gap for long-tailed recognition
PGDP5K: A Diagram Parsing Dataset for Plane Geometry Problems
Plane Geometry Diagram Parsing
Jiaxin Zhang, Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu, Yashar Moshfeghi
Accepted by the Annual Meeting of the Association for Computational Linguistics (ACL-24). [Paper]
Zhong-Zhi Li, Ming-Liang Zhang*, Fei Yin and Cheng-Lin Liu
Accepted by the Annual Meeting of the Association for Computational Linguistics (ACL-24). [Paper]
Ming-Liang Zhang, Fei Yin and Cheng-Lin Liu
Accepted by the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23). [Paper][Code][Dataset]
Ming-Liang Zhang, Fei Yin, Yi-Han Hao and Cheng-Lin Liu
Accepted by the 2nd MATH-AI Workshop at NeurIPS 2022. [Paper][Video]
Ming-Liang Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu
Accepted by the Journal of Pattern Recognition. [Paper]
Yihan Hao, Ming-Liang Zhang, Fei Yin and Lin-Lin Huang
Accepted by the 26th International Conference on Pattern Recognition (ICPR-22). [Paper]
Ming-Liang Zhang, Fei Yin, Yi-Han Hao and Cheng-Lin Liu
Accepted by the 31nd International Joint Conference on Artificial Intelligence (IJCAI-22). [Paper][Code][Dataset][Video]
CVPR 2020 workshop: AliProducts Challenge: Large-scale Product Recognition
CCF 2019 Big Data & Computing Intelligence Contest: ID Card Elements Extraction based on OCR
2017 America Mathematical Contest In Modeling (MCM)
Ming-Liang Zhang, Baole Wei and Yirong Yang
Team Name: UCASTAR
Ranking: 5 / 688 [Report][Code]
Ming-Liang Zhang, Baole Wei, Chen Du and Jingzhong Jiang
Team Name: 民间 baseline
Ranking: 5 / 1727 [Report]
Yujie Sun, Mingliang Zhang and Teng Sun
Faculty Advisor: Xianfa Jiao
Ranking: Meritorious Winner (for top 5% teams)
Internship | Baidu Search Strategy Lab
Teaching Assistant | UCAS, School of Artificial Intelligence
Internship | SenseTime AI Lab
Visiting Student | CASIA