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Personal profile

Personal profile

Dr. Qiufeng Wang is currently a senior associate professor and the head of Department of Intelligent Science at School of Advanced Technology in Xi’an Jiaotong-Liverpool University (XJTLU). He received the Ph.D degree in Pattern Recognition and Intelligence Systems from Institute of Automation, Chinese Academy of Sciences (CASIA) in July 2012, and won Presidential Scholarship of Chinese Academy of Sciences. During 2012 to 2013, he worked as an Assistant Professor at the National Laboratory of Pattern Recognition (NLPR) in CASIA . During 2013 to 2017, he worked at Microsoft and joined in XJTLU in Feb. 2017. nbsp;His research interests include pattern recognition, machine learning, and language modeling, more specially, the document analysis and recognition. Dr. Wang has published 70+ papers, including IEEE T-PAMI, and published one book about deep learning in Springer. His research has been supported by both government and industry, including NSFC young programme, NSFC general programme, and CCF-Tencent. nbsp;nbsp;

Research interests

Large Language Model, Math Word Problem

Pattern Recognition, Computer Vision, Document Analysis and Recognition


Senior Associate Professor, Department of Intelligent Science, SAT, XJTLU, 2022 - Now

Associate Professor, Department of Intelligent Science, SAT, XJTLU, 2019 - 2022

Lecturer, department of Electrical and Electronic Engineering, XJTLU, 2017 - 2019

Engineer, Microsoft, 2013-2017

Assistant Professor, Institute of automation, Chinese Academy of Sciences, 2012-2013


INT 302

INT 404

Awards and honours

2020 ICONIP Runner-up Paper Award

2012 Presidential Scholarship Excellent Class of Chinese Academy of Sciences

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Ph.D. , Institute of Automation, Chinese Academy of Sciences, - 2012

B.S, Computer Science, Nanjing University of Science and Technology, 2006

External positions

Person Types

  • Staff


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Collaborations and top research areas from the last five years

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