Projects per year
Personal profile
Personal profile
Dr. Fangyu Wu is currently an Assistant Professor in the Department of Intelligent Science at School of Advanced Technology in Xi’an Jiaotong-Liverpool University (XJTLU). She received the Ph.D degree in Computer Science and Software Engineering from the University of Liverpool in Nov. 2020. During Dec. 2020 to Dec. 2022, she worked as a Postdoctoral Researcher in College of Computer Science and Technology at Zhejiang University and joined XJTLU in Jan. 2023. Her research interests include deep learning and multi-modal Learning, with a particular focus on image-text matching. Dr. Fangyu Wu has published 15+ papers, including conferences such as CVPR and ECCV, as well as in journals such as IEEE Transactions. She was awarded Gusu Innovation and Entrepreneurship Leading Talents (苏州青年创新领军人才) Programme in 2023.
Research interests
Deep Learning
Multi-modal Learning
Computer vision
Experience
Assistant Professor, Xian Jiaotong-Liverpool University - 2023 to present
Postdoctoral Researcher, College of Computer Science and Technology, Zhejiang University, 2020.12-2022.12
Teaching
INT309 Multimedia Information Retrieval and Technology
INT406 Data Mining and Machine Learning
Awards and honours
Gusu Innovation and Entrepreneurship Leading Talents, 2023
ICMLCICWAPR 2017, Lotfi Zadeh Best Paper Award
The 7th China Innovation Challenge, “Intelligent Tracking System Based on Infrared Thermal Imaging Human Body Recognition” first prize, 2022.
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
B.S, Information Management and Information Systems, Xi’an jiaotong-Liverpool University, 2013-2017
Ph.D. , Computer Science and Software Engineering, University of Liverpool, 2017-2020
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Projects
- 5 Active
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AI-Enabled Innovative Design Platform for Customizing Home Appliances
Wu, F., Sun, Q., Wang, Q. & Lim, E. G.
1/02/24 → 31/01/27
Project: Governmental Research Project
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Machine Learning Algorithm Interactive Education System using Generative AI and Virtual-reality technologies
Wu, F. & Sun, Q.
1/01/24 → 31/12/26
Project: Internal Research Project
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Low-carbon natural wind distributed intelligent control system for the indoor environment of large buildings
Wu, F., Chen, Q., Zhao, Y., Wang, Q. & Lim, E. G.
1/01/24 → 31/12/25
Project: Governmental Research Project
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Intelligent Multimodal Data Analysis for Digital Twin Cities
Wu, F., Lim, E. G., Wang, Q., Chen, Q., Zhu, X., Zhao, Y., Qian, J. & Pan, Z.
1/07/23 → 30/06/26
Project: Governmental Research Project
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Multi-modal deep learning for the application of social media data analysis
1/07/23 → 30/06/25
Project: Internal Research Project
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Better Sampling, towards Better End-to-end small Object Detection
Huang, Z., Zhang, C., Jin, M., Wu, F., Liu, C. & Jin, X., May 2024, International Conference on Computer Animation and Social Agents (CASA), 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Correction to: ITContrast: contrastive learning with hard negative synthesis for image-text matching (The Visual Computer, (2024), 10.1007/s00371-024-03274-w)
Wu, F., Wang, Q., Wang, Z., Yu, S., Li, Y., Zhang, B. & Lim, E. G., Oct 2024, In: Visual Computer. 40, 10, p. 7505 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Discriminative Feature Enhancement Network for Few-Shot Classification and Beyond
Wu, F., Wang, Q-F., Liu, X., Chen, Q., Zhao, Y., Zhang, B. & Lim, E. G., 1 Dec 2024, In: Expert Systems with Applications. 255, 124811.Research output: Contribution to journal › Article › peer-review
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ITContrast: contrastive learning with hard negative synthesis for image-text matching
Wu, F., Wang, Q., Wang, Z., Yu, S., Li, Y., Zhang, B. & Lim, E. G., 2024, (Accepted/In press) In: Visual Computer. 40, 12, p. 8825-8838 14 p.Research output: Contribution to journal › Article › peer-review
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Multi-modal Contextual Prompt Learning for Multi-label Classification with Partial Labels
Wang, R., Pan, Z., Wu, F., Lv, Y. & Zhang, B., 2 Feb 2024, Proceedings of the 2024 16th International Conference on Machine Learning and Computing, ICMLC 2024. Association for Computing Machinery, p. 517-524 8 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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IEEE Transactions on Pattern Analysis and Machine Intelligence (Journal)
Fangyu Wu (Reviewer)
15 Aug 2023Activity: Peer-review and editorial work of publications › Publication Peer-review
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Huzhou Research Institute of Zhejiang University
Fangyu Wu (Visiting researcher)
10 Jul 2023 → 11 Jul 2023Activity: Research visit
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Computer Vision and Pattern Recognition Conference
Fangyu Wu (Participant)
20 Jun 2023 → 22 Jun 2023Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network
Fangyu Wu (Speaker)
20 Jun 2023 → 22 Jun 2023Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Applied Intelligence (Journal)
Fangyu Wu (Reviewer)
13 Jun 2023 → 24 Jul 2023Activity: Peer-review and editorial work of publications › Publication Peer-review