秦者云，迄今发表CCF-A类、中科院一区等期刊、会议论文11余篇，包括NeurIPS、AAAI、ACM MM、IEEE T-IP (IF=10.6)、IEEE-CAA JAS (IF=11.8)等。长期担任CVPR、ICCV、ECCV、AAAI等国际著名期刊会议的审稿人。获山东省人工智能自然科学一等奖。主持中国博士后基金面上项目、青岛市博士后创新项目（一等）等项目。

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所在团队：

山东大学信息检索实验室

研究方向：

机器感知：3D场景（视频，点云）理解与分析

图学习：图表示学习，图公平性学习

AI for Science：医学影像分析，RNA结构预测

科研项目：

+ 多模态大模型与工具链关键技术及应用，省重大科技创新工程，参与

+ 中国博士后基金面上项目，在研，主持

+ 青岛市博士后创新项目（一等），在研，主持

论文列表：

* Zheyun Qin; Xiankai Lu; Dongfang Liu; Xiushan Nie; Yilong Yin; Jianbing Shen; Alexander C. Loui

Reformulating Graph Kernels for Self-supervised Space-Time Correspondence Learning. TIP 2023, (CCF A).  [paper]

* Zheyun Qin; Cheng Han; Xiankai Lu; Qifan Wang; Xiushan Nie; Yilong Yin.

Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023, (CCF A).

* 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, (JCR Q1). [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]

* Zheyun Qin; Xiaoming Xi; Yilong Yin.

Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation. ICASSP 2024 (CCF B). [paper]

* Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin.

Learning Disentangled Representation for Self-supervised Video Object Segmentatio. Neurocomputing, 481: 270-280 (2022). (JCR Q2) [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. (JCR Q2). [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]