Projects per year
Personal profile
Personal profile
Dr. Qiufeng Wang, Professor, the Head of Department of Intelligent Science at School of Advanced Technology, and Deputy Dean of Academy of Artificial Intelligence (AOA), 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
- Math Reasoning
- Document Analysis and Recognition
- Pattern Recognition
- Computer Vision
Experience
- Deputy Dean of Academy of Artificial Intelligence (AOA), XJTLU, 2024-Now
- Head of Department of Intelligent Science (INT), SAT, XJTLU, 2020 - Now
- Professor, Department of Intelligent Science (INT), SAT, XJTLU, 2025- Now
- Senior Associate Professor, Department of Intelligent Science (INT), SAT, XJTLU, 2022 - 2024
- Associate Professor, Department of Intelligent Science (INT), SAT, XJTLU, 2020 - 2022
- Associate Professor, Department of Electrical and Electronic Engineering (EEE), SAT, XJTLU, 2019 - 2020
- Lecturer, Department of Electrical and Electronic Engineering (EEE), XJTLU, 2017 - 2019
- Engineer, Microsoft, 2013-2017
- Assistant Professor, Institute of automation, Chinese Academy of Sciences, 2012-2013
Teaching
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):
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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Mathematical Reasoning Based on Neural-Symbolic System
1/01/25 → 31/12/29
Project: Governmental Research Project
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Investigation on deciphering oracle bone script
Wang, Q., Zhang, W. & chi, X.
30/09/24 → 30/09/26
Project: Governmental Research Project
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Raw Material Impurity Visual Inspection and Recognition System of Industrial Production Line
14/09/24 → 14/09/27
Project: Collaborative Research Project
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Development of Complex Outdoor Environment Perception Systems
27/07/24 → 27/07/27
Project: Collaborative Research Project
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Development of cloud-based intelligent control technology for flexible manufacturing of high-end equipment
Wang, J., Lim, E. G., Wang, Q., Pan, Y. & Wang, X.
5/02/24 → 4/02/28
Project: Collaborative Research Project
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Delving into Adversarial Robustness on Document Tampering Localization
Shao, H., Qian, Z., Huang, K., Wang, W., Huang, X. & Wang, Q., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 290-306 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15123 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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3D Point Cloud Completion with Component Guidance
Ma, W., Li, Y., Wang, Q-F., Huang, X. & Huang, K., 2024, (Accepted/In press) The 31st International Conference on Neural Information Processing (ICONIP2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Two-Stage Approach for Scale-Aware Document Dewarping
Wang, Q-F. & Zhang, W., 2024, ICONIP 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Class Incremental Learning for Character String Recognition
Wang, Q-F., 2024, ICDAR 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Coarse-to-Fine Document Image Registration for Dewarping
Wang, Q-F., 2024, ICDAR 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Investigation of Explainable Arbitrary-Step Time Series Prediction with Deep Neural Networks
Rui Zhang (Supervisor), Qiufeng Wang (Co-supervisor) & Yi Dong (Co-supervisor)
1 Sept 2024 → …Activity: Supervision › PhD Supervision
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Development and Application of Digital Twin Technology in Aluminum Alloy Casting Process Design
Qiufeng Wang (Supervisor)
1 Sept 2024 → …Activity: Supervision › PhD Supervision
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large language model for mathematical reasoning
Qiufeng Wang (Supervisor)
Jun 2024 → Aug 2024Activity: Supervision › Completed SURF Project
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Robust Document Unwarping with Weakly Supervised Learning
Qiufeng Wang (Supervisor)
1 Mar 2024 → …Activity: Supervision › PhD Supervision
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Investigation of Robust Generalization for Deep Learning Models With Data Manifold
Qiufeng Wang (Supervisor)
2024Activity: Supervision › PhD Supervision