姓 名:  孙建园 性 别:  女

出生年月:1988.05  籍  贯： 黑龙江省绥化

学历/学位：博士研究生 职称：讲师

学术履历：2020年11月-至今 讲师 计算机科学技术学院 青岛大学

2019.07-至今：计算机视觉计算研究助理 英国国家动画中心伯恩茅斯大学 研究方向；

2017.11—2018.10: 访问学者 英国朴次茅斯大学

主要学术职务：青岛大学计算机科学技术学院讲师

其他学术兼职：担任国际学术会议International Joint Conference on Neural Networks (IJCNN) 的审稿人；

担任国际学术期刊（中科院二区）Neurocomputing审稿人；

担任国际学术期刊（中科院二区）Signal Processing: Image Communication审稿人。

入选2020年青年卓越人才。

主要研究方向：机器学习、深度学习算法研究及其在计算机视觉、音频模式识别、海洋领域的应用。

取得的主要研究成果：

[1] Jianyuan Sun, Hui Yu, Guoqiang Zhong, Junyu Dong, Shu Zhang. Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency [J]. IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2020.2972956. (Top Journal, Impact Factor: 11.079)

[2] Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang and Junyu Dong. Banzhaf random forests: Cooperative Game Theory Based Random Forests with Consistency [J]. Neural Networks, 106: 20-29, 2018. (Impact Factor: 5.535)

[3] Jianyuan Sun, Zidong Wang, Hui Yu, Shu Zhang and Junyu Dong et al. Two-stage Deep Regression Enhanced Depth Estimation from a Single RGB Image [J]. IEEE Transactions on Emerging Topics in Computing, doi:10.1109/TETC.2020.3034559 (Impact Factor: 6.043)

[4] Jianyuan Sun, Guoqiang Zhong and Junyu Dong et al. Cooperative Profit Random Forests with Application in Ocean Front Recognition [J]. IEEE Access, 5: 1398-1408, 2017. (Impact Factor: 3.557)

[5] Jianyuan Sun, Qi Lin, Xuguang Zhang, Junyu Dong and Hui Yu. Kinect depth recovery via the cooperative profit random forest algorithm [C]. International Conference on Human System Interaction. IEEE HSI, 57-62, 2018.

[6] Qizhi Fang, Jianyuan Sun. Computational Complexity on the Cores of Bin Covering Game [C]. International Conference on Progress in Informatics and Computing. IEEE, 2014: 601-605.

[7] Xinghui Dong, Junyu Dong, Huiyu Zhou, Jianyuan Sun, and Dacheng Tao. Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests [J]. IEEE Transactions on Industrial Electronics, 65(5): 4401-4412, 2018. (Top Journal, Impact Factor: 9.650)

[8] Zhang Qin, Jianyuan Sun, Guoqiang Zhong et al. Random Multi-Graphs: A Semi-Supervised Learning Framework for Classification of High Dimensional Data [J]. Image and Vision Computing, 60: 30-37, 2017. (Impact Factor: 2.159)

[9] Zeju Wu, Cuijuan Jiao, Jianyuan Sun and Chen, L. Tire Defect Detection Based on Faster R-CNN [J]. Communications in Computer and Information Science, 203-218, 2020.