Yaoyue Zheng

I am a Ph.D. candidate at the College of Artificial Intelligence and Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University, advised by Prof. Xue-tao Zhang and Zhi-qiang Tian. I completed my master's degree from the School of Software Engineering of Xi'an Jiaotong University in 2021. Prior to that, I worked as an intern at Huawei Research Institute in 2020.

Currently, I work as a Ph.D. student in Learning and Machine Perception (LAMP) team, advised by Dr. Joost van de Weijer in Computer Vision Center, Autonomous University of Barcelona, Spain.

I expect to graduate in 2026 and am actively seeking full-time positions. I would be honored to have the opportunity to collaborate with you.

💬 If you have an interest in my work or any queries, please feel free to contact me.

Email / Google Scholar / Github

Research Interests

I'm interested in continual learning, few-shot learning, and medical image segmentation. Currently, my research is focused on the areas of cross-domain few-shot learning and continual learning.

Publications

Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation
Yin Zhang, Yongqiang Zhang*, Yaoyue Zheng, Bogdan Raducanu, Dan Liu
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026 (Poster in Singapore)
paper / code / bibtex

Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
Filip Szatkowski, Yaoyue Zheng, Fei Yang, Bartłomiej Twardowski, Tomasz Trzciński, Joost van de Weijer*
Forty-Second International Conference on Machine Learning (ICML), 2025 (Poster in Vancouver)
paper / code / bibtex

Enhancing Few-shot Lifelong Learning through Fusion of Cross-domain Knowledge
Yaoyue Zheng, Xuetao Zhang, Zhiqiang Tian*, Shaoyi Du
Information Fusion, 2024 (IF: 14.7)
paper / bibtex

Detach and Unite: A Simple Meta-Transfer for Few-shot Learning
Yaoyue Zheng, Xuetao Zhang, Zhiqiang Tian*, Wei Zeng, Shaoyi Du
Knowledge-Based Systems, 2023 (IF: 8.14)
paper / code / bibtex

Deep Level Set Method for Optic Disc and Cup Segmentation on Fundus Images
Yaoyue Zheng, Xuetao Zhang, Xiayu Xu, Zhiqiang Tian*, Shaoyi Du
Biomedical Optics Express, 2021 (IF: 3.562)
paper / code / bibtex

Interactive Prostate MR Image Segmentation Based on ConvLSTMs and GGNN
Zhiqiang Tian*, Xiaojian Li, Zhang Chen, Yaoyue Zheng, Hongcheng Fan, Zhongyu Li, Shaoyi Du
Neurocomputing, 2021 (IF: 5.779)
paper / bibtex

Deep Level Set with Confidence Map and Boundary Loss for Medical Image Segmentation
Yaoyue Zheng, Zhang Chen, Xiaojian Li, Xiangyu Si, Liangjie Dong, Zhiqiang Tian*
IEEE International Conference on Multimedia and Expo (ICME), 2020 (Oral in London)
paper / code / bibtex

Graph Convolutional Network Based Optic Disc and Cup Segmentation on Fundus Images
Zhiqiang Tian*, Yaoyue Zheng, Xiaojian Li, Shaoyi Du, Xiayu Xu
Biomedical Optics Express, 2020 (IF: 3.562)
paper / bibtex

Graph-convolutional-network-based Interactive Prostate Segmentation in MR Images
Zhiqiang Tian*, Xiaojian Li, Yaoyue Zheng, Zhang Chen, Zhong Shi, Lizhi Liu, Baowei Fei
Medical Physics, 2020 (IF: 4.506)
paper / bibtex

Multi-step Medical Image Segmentation Based on Reinforcement Learning
Zhiqiang Tian*, Xiangyu Si, Yaoyue Zheng, Zhang Chen, Xiaojian Li
Journal of Ambient Intelligence and Humanized Computing, 2020 (IF: 3.662)
paper / bibtex

Selected Honors

[2015] Excellent Student Cadre
[2015] Merit Student
[2016] National Scholarship
[2017] Excellent Student Cadre
[2018] Graduate with Honor
[2019] Excellent Postgraduate
[2019] First-grade Scholarship
[2020] National Scholarship
[2020] Excellent Postgraduate
[2021] Graduate with Honor
[2024] Weichai Power Scholarship
[2024] National Scholarship

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