师资队伍

朴星霖

电话:

E-mail:piaoxl@bjut.edu.cn

通讯地址:北京市朝阳区平乐园100号 北京工业大学理科楼

研究方向

模式识别、智能交通、多媒体技术等。

个人简介

朴星霖,讲师,信息学部人工智能与自动化学院、多媒体与智能软件技术北京市重点实验室、北京人工智能研究院教师。

教育简历

2006.9-2010.6     吉林大学      信息与计算科学专业    理学学士

2010.8-2017.6     北京工业大学     计算机科学与技术专业    工学博士

工作履历

2017.8-2019.8           大连理工大学    博士后

2020.1-2021.12     鹏城实验室     博士后

2022.1-至今    北京工业大学     讲师

学术兼职

担任IJCAIKnowledge and Information Systems等国际著名会议和期刊审稿人。

课程教学

本科生教学:机器学习

研究生教学:机器学习前沿讲座

科研项目

国家自然科学基金青年科学基金项目,基于流形和多线性低秩表示的图像视频聚类方法研究,主持。

荣誉和获奖

2018年全国水下机器人目标抓取大赛定点抓取组二等奖

2020年全国水下机器人目标抓取大赛自主抓取组优秀奖

代表性研究成果

发表学术论文10余篇,包括CVPRICMEIEEE Transactions on Intelligent Transportation Systems等国际著名会议和期刊。

主要论文论著

[1] Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Double nuclear norm based low rank representation on Grassmann manifolds for clustering. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 12075-12084.

[2] Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin, Wenwu Zhu, Ge Li. Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. Proceedings of the IEEE International Conference on Multimedia and Expo. 2020: 1-6.

[3] Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin. Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. Proceedings of the Asian Conference on Computer Vision. 2020: 1-16.

[4] Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin. A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. Proceedings of the International Conference on Pattern Recognition. 2020: 9392-9398.

[5] Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao. Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. Sensors, 2014, 14(12): 23137-23158.

[6] Xinglin Piao, Yong Zhang, Tingshu Li, Yongli Hu, Hao Liu, Ke Zhang, Yun Ge. RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint. Sensors, 2016, 16(11): 1845.

[7] Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin. SHCN: Self-supervised General Hypergraph Clustering Network. Proceedings of the IEEE International Conference on Big Data. 2022: 1298-1303.

[8] Yang Wang, Yong Zhang, Xinglin Piao, Hao Liu, Ke Zhang. Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations. IEEE Transactions on Intelligent Transportation Systems. 2019,20(4): 1531-1543.

[9] Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, Baocai Yin. Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks. IEEE Transactions on Intelligent Transportation Systems. 2021, 22(12): 7891-7903.