Projects per year
Personal profile
Personal profile
Dr. Siyue Yu graduated from Xian Jiaotong-Liverpool University (Electrical and Electronic Engineering) with a bachelors degree. In December 2022, she received her Ph.D. at the University of Liverpool (Electrical and Electronic Engineering). She was supervised by Prof. Jimin Xiao and Prof. Eng Gee Lim during her PhD. She joined XJTLU in January 2023 as a lecturer. During her doctoral period, she has been researching computer vision, including video object segmentation, weakly supervised salient object detection, and co-salient object detection. She has published papers in CVPR, AAAI, TPAMI and other internationally renowned authoritative conferences or journals, including three papers as the first author. She also serves as a reviewer for several journals and conferences including TPAMI, TIP, and CVPR.https://scholar.google.com/citations?user=AdxzTKsAAAAJhl=zh-CNoi=ao
If you are interested in computer vision and MLLM, please contact me through siyue.yu02@xjtlu.edu.cn with your CV.
Research interests
Anomaly Detection, Sample Generation, Semantic Segmentation
Experience
Lecturer, XJTLU, 2023 - to Present
Teaching
INT305
INT302
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):
Related documents
Education/Academic qualification
Bachelor Xi'an Jiaotong-Liverpool University, 2012-2016
Ph.D. University of Liverpool, 2018-2022
Research areas
- Computer Vision
- Deep Learning
Person Types
- Staff
Fingerprint
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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
Projects
- 5 Active
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Active Learning for Image Semantic Segmentation under Label Constrain
Xiao, J. (PI), Yu, S. (Team member), Wang, X. (Team member), Zhao, X. (Team member), Wang, X. (Team member), Wang, J. (Team member) & Qiu, X. (Team member)
1/09/24 → 31/08/27
Project: Governmental Research Project
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Intergral Feature Mining for Image-level Supervised Co-salient Object Detection
Yu, S. (PI)
1/01/24 → 31/12/26
Project: Governmental Research Project
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Research on Key Technologies for Small Sample Industrial Visual Inspection
Xiao, J. (PI), Wang, Q. (Team member), Yu, S. (Team member), Jin, X. (Team member), Fan, P. (Team member), Wang, X. (Team member), Wang, X. (Team member), Qiu, X. (Team member), Peng, J. (Team member), Gong, Y. (Team member), Qin, Y. (Team member) & Li, H. (Team member)
1/11/23 → 31/12/26
Project: Governmental Research Project
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Comprehensive Exploration of Image-level Supervised Co-salient Object Detection
Yu, S. (PI)
1/07/23 → 30/06/26
Project: Internal Research Project
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DiffClick: Click-differentiated enhancement network for interactive segmentation
Song, S., Yu, S., Zhou, H., Huang, X., Yu, L. & Xiao, J., Mar 2026, In: Pattern Recognition. 171, 112217.Research output: Contribution to journal › Article › peer-review
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FFEvent: Fast fourier-based knowledge transfer for event cameras
Lin, Y., Zhang, J., Yu, S., Xiao, J. & Lu, J., 1 Mar 2026, In: Expert Systems with Applications. 299Research output: Contribution to journal › Article › peer-review
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A Training-free Synthetic Data Selection Method for Semantic Segmentation
Tang, H., Yu, S., Pang, J. & Zhang, B., 11 Apr 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 7 ed. Association for the Advancement of Artificial Intelligence, p. 7229-7237 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 7).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation
Wang, J., Dai, T., Zhang, B., Yu, S., Lim, E. G. & Xiao, J., 2025, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation
Yao, S., Xu, H., Sun, M., Yu, S., Xiao, J. & Lim, E. G., 2025, Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. Kwok, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 2251-2259 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Intelligent Operation and Maintenance for Railway Systems Using AI and 3D Perception
Yu, S. (Supervisor)
Jun 2025 → Aug 2025Activity: Supervision › Completed SURF Project
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3D Point Cloud-Based Intelligent Infrastructure Monitoring for Railway Systems
Yu, S. (Supervisor)
Jun 2025 → Aug 2025Activity: Supervision › Completed SURF Project
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LLM-based Weakly-supervised Image Segmentation
Yu, S. (Supervisor)
Jan 2025 → Dec 2028Activity: Supervision › PhD Supervision
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[ISE] 2024 IEEE International Conference on Automation in Manufacturing, Transportation and Logistics (iCaMaL2024)
Yu, S. (Speaker)
7 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Multimedia Systems (Journal)
Yu, S. (Reviewer)
25 Apr 2024Activity: Peer-review and editorial work of publications › Publication Peer-review