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 :
2024.06-Present: Postdoctoral Research Fellow in Shandong University.
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.
Recent News:
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 (First Calss)
Publications
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]