About me
Since June 2024, I am a postdoctoral fellow at the School of Computer Science and Technology, Shandong University, working with Prof. Xiuzhen Cheng and Prof. Zhumin Chen.
Research Direction：
Machine Perception: 3D Scene (Video or Point Clouds) Understanding and Analysis
Graph Learning: Graph Representation learning; Fairness Graph Learning
AI for Science: Medical Image Analysis; RNA Structure Prediction
Education :
2019.09-2024.06: Ph.D. in Shandong University, advised by Prof. Yilong Yin and Prof. Xiankai Lu.
2015.09-2019.06: B.E. in Shandong University, advised by Assoc. Prof. Zhenping Yi.
Recent News:
2025/07: One paper is accepted to ACM MM (CCF A).
2025/06: One paper is accepted to ICCV (CCF A).
2025/06: Serving as a Youth Editor for Journal of Changzhou University (Natural Science Edition)
2025/05: Serving as a Youth Editor for Advanced Technology in Neuroscience.
2025/04: Serving as the workshop co-chair of IEEE PRMVAI 2025. I am looking forward to gathering with all experts and scholars in Loudi, China.
2025/03: One paper about Graph Representation Learning is accepted by 软件学报.
2025/03: A patent for an invention on uncertainty modeling has been officially granted.
2024/11: Honored to receive the First Prize of Shandong Province AI Natural Science Award from the ShanDong Association of Artificial Intelligence.
2024/11: We are very grateful to receive a new grant from Qingdao Postdoctoral Innovation Project
2024/11: Grateful to receive a new grant from China Postdoctoral Science Foundation
2024/11：Our team won the second prize in the Vision Application Challenge of Shandong University Students’ Artificial Intelligence Competition, congratulations to Qihao Zhang!
2024/10：One paper accepted to Journal of Computer Research and Development (in Chinese).
2024/10: One paper co-directed by me accepted to KBS (中科院一区，IF：8.038). Congratulations to Zhaohui Li.
2024/09: My doctoral thesis was awarded the Excellent Degree Thesis Award by ACM Jinan.
2024/07: One paper co-directed by me accepted to ACM MM’25 (CCF A). Congratulations to Lu Chen.
2024/07：I have joined the School of Computer Science and Technology at Shandong University as a specially funded postdoctoral research fellow.
2024/06: I have been awarded the PhD degree in Engineering!
2024/05: I was recognized as the Provincial Outstanding Student of Shandong Provincial Colleges and Universities for the academic year 2023.
2024/01: I was honored as the Outstanding Graduate of Shandong Province.
2023/12: I received the Academic Star Nomination Award from Shandong University.
Funding
General Program of China Postdoctoral Science Foundation
Qingdao postdoctoral Innovation Project
Publications
Zheyun Qin, Deng Yu, Yang Shi, Qiangchang Wang, Zhumin Chen
Video Instance Segmentation by Weighted Structure Inference. ACM MM 2025 (CCF A).
Zheyun Qin, Deng Yu, Chuanchen Luo, Zhumin Chen
Sliced Wasserstein Bridge for Open-Vocabulary Video Instance Segmentation. ICCV 2025 (CCF A).
Zheyun Qin; Xiankai Lu; Dongfang Liu; Xiushan Nie; Yilong Yin; Jianbing Shen; Senior Member; Alexander C. Loui
Reformulating Graph Kernels for Self-supervised Space-Time Correspondence Learning. TIP 2023 (CCF A, IF:10.6). [paper]
Zheyun Qin; Cheng Han; Xiankai Lu; Qifan Wang; Xiushan Nie; Yilong Yin.
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023, (CCF A). [paper]
Zheyun Qin; Xiankai Lu; Xiushan Nie; Dongfang Liu, Yilong Yin; Wenguan Wang.
Coarse-to-Fine Video Instance Segmentation with Factorized Conditional Appearance Flows. JAS 2023 (中科院一区Top期刊, IF:11.8). [paper]
Zheyun Qin; Xiankai Lu; Xiushan Nie; Yilong Yin; Jianbing Shen.
Exposing the Self-supervised Space-Time Correspondence Learning via Graph Kernels. AAAI 2023 (CCF A). [paper]
Zheyun Qin; Xiankai Lu; Xiushan Nie; Xiantong Zhen; Yilong Yin.
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia 2021 (CCF A). [paper]
秦者云, 卢宪凯, 聂秀山, 尹义龙
基于结构关系建模的自监督图表示学习[J]. 软件学报 2025.
Zheyun Qin; Xiaoming Xi; Yilong Yin.
Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation. ICASSP 2024 (CCF B).[paper]
秦者云, 卢宪凯, 袭肖明, 任春晓, 聂秀山, 尹义龙.
基于随机游走路径的自监督图拓扑不平衡学习[J]. 计算机研究与发展 2024. DOI: 10.7544/issn1000-1239.202330813
Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin.
Learning Disentangled Representation for Self-supervised Video Object Segmentatio. Neurocomputing, 481: 270-280 (2022). (中科院二区) [paper]
Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yilong Yin, Xinjian Chen.
IA-net: informative attention convolutional neural network for choroidal neovascularization segmentation in OCT images[J]. Biomedical Optics Express, 2020, 11(11): 6122-6136. (中科院二区). [paper]
Qing Xu, Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yongjian Wu, Dongsheng Zhou, Yi Qu, Chenglong Li, YiLong Yin.
Difficulty-aware Bi-network with Spatial Attention Constrained Graph for Axillary Lymph Node Segmentation. SCIENCE CHINA Information Sciences (CCF B), 2020. [paper]
Services
Youth Editor of Advanced Technology in Neuroscience (ATN)
Youth Editor of Journal of Changzhou University (Natural Science Edition)
Reviewer
Knowledge-based Systems (KDS)
Engineering Applications of Artificial Intelligence (EAAI)
Pattern Recognition (PR)
Neurocomputing
Image and Vision Computing
Computers and Electrical Engineering
CVPR 2024 2025
ICCV 2025
Neueips 2025
AAAI 2024
IJCAI 2025
ACM MM 2024 2025
WACV 2026
Pacific Graphics 2025