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
- Lecturer-Associate Professor-Professor; XJTLU; 2017- Now
- 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
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
Research areas
- Machine Learning
- Computer Vision
- Document Intelligence
- AI4Culture
- Multimodal Reasoning
- Embodied AI
Person Types
- Staff
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):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EASE - iXJTLU Learning Design Platform
Li, N. (PI), Tay, T. T. (CoPI), Shen, J. (CoPI), Wen, R. (CoPI), Deng, W. (CoPI), Wang, R. (Team member), Huang, L. (Team member), Wang, Q. (Team member), Gao, Y. (Team member), Wang, W. (Team member), Zhu, Z. (Team member) & Dong, H. (Team member)
5/05/26 → 16/10/26
Project: Internal Research Project
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Digital Restoration and Visualization of Dunhuang Manuscripts
Wu, F. (PI) & Wang, Q. (Team member)
1/12/25 → 30/11/26
Project: Governmental Research Project
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Research on Key Technologies of Embodied Large Models of "Vision-Language-Motion" for Industrial Manufacturing
Chen, Y. (PI), lim, E. (Team member), Wang, Q. (Team member), Chen, M. (Team member), Liang, S. (Team member), Wu, F. (Team member), Jin, X. (Team member), Chen, Y. (Team member), Li, H. (Team member) & Zhao, D. (Team member)
1/10/25 → 30/09/28
Project: Governmental Research Project
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Research on Interpretable Document Image Tampering Detection Method Based on combining large and small models
Wang, Q. (PI), Zhou, Z. (Team member), Kang, X. (Team member), Shao, H. (Team member) & Zhang, W. (Team member)
1/09/25 → 31/08/28
Project: Governmental Research Project
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A comprehensive survey of oracle character recognition: Challenges, datasets, methodology, and beyond
Li, J., Chi, X., Wang, Q., Huang, K., Wang, D. H., Liu, Y. & Liu, C. L., Jan 2026, In: Pattern Recognition. 169, 111824.Research output: Contribution to journal › Review article › peer-review
9 Citations (Scopus) -
EmoSENSE: Modeling Sentiment-Semantic Knowledge with Hierarchical Reinforcement Learning for Emotional Image Generation
Guo, J., Chen, H., Wang, Q., Chen, Y., Cheng, G., Wu, F. & Lim, E. G., 2026, (Accepted/In press) In: IEEE Transactions on Affective Computing.Research output: Contribution to journal › Article › peer-review
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MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
Wu, Z., Zhao, Q., Hu, M., Li, Y., Xue, H., Jiang, Z., Stefanidis, A., Wang, Q., Razzak, I., Ge, Z., He, J., Qiao, Y., Zheng, Z., Tang, F., Dang, K. & Su, J., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 378-388 11 p. (Lecture Notes in Computer Science; vol. 15961 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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TempoFit: Plug-and-Play Layer-Wise Temporal KV Memory for Long-Horizon Vision-Language-Action Manipulation
Sun, J., Yang, B., Zhang, J., Ma, N., Wu, C., Zhang, S., Huang, Y., Wang, Q.-F., Liang, S. & Chen, Y., 2026, The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Large Language Model Based Interpretable Embodied Intelligence Decision Making in Industrial Manufacturing
Chen, M. (Supervisor), Wang, Q. (Co-supervisor) & Yang, C. (Co-supervisor)
1 Sept 2025 → 31 Aug 2029Activity: Supervision › PhD Supervision
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Development and Application of Digital Twin Technology in Aluminum Alloy Casting Process Design
Wang, Q. (Supervisor)
1 Sept 2024 → …Activity: Supervision › PhD Supervision
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Investigation of Explainable Arbitrary-Step Time Series Prediction with Deep Neural Networks
Zhang, R. (Supervisor), Wang, Q. (Co-supervisor) & Dong, Y. (Co-supervisor)
1 Sept 2024 → …Activity: Supervision › PhD Supervision
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large language model for mathematical reasoning
Wang, Q. (Supervisor)
Jun 2024 → Aug 2024Activity: Supervision › Completed SURF Project
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Robust Document Unwarping with Weakly Supervised Learning
Wang, Q. (Supervisor)
1 Mar 2024 → …Activity: Supervision › PhD Supervision