宋国杰

个人概况

姓    名:宋国杰

职    称:副教授

职    务:北京大学信息学院副教授

研究方向:网络大数据挖掘,社交网络分析,智能交通系统

通信地址:北京大学

电    话:010-62754785

电子邮件:gjsong@pku.edu.cn

教育情况

2004年,北京大学计算机系博士毕业

工作经历

2005--至今  在北京大学信息科学技术学院工作

科研项目(973、科技部重点研发计划等)

主持和参与了包括国家高技术研究发展计划(863 计划)、国家科技支撑计划、国家自然科学基金、北京市科委重大科技攻关项目、北京市自然科学基金等10多项纵向课题;主持了包括IBM 研究院、移动研究院、NEC 研究院、中兴通讯研究院等 6 项国际(内)科研机构合作课题;主持了包括与中国移动、中国交通集团、国家电网、北京高速、山西高速和安徽高速等10余项横向合作课题。发表论文100余篇,其中包括国际顶级期刊 TKDE、TPDS、TITS以及国际顶级会议 KDD、AAAI、IJCAI、WWW 等 30 余篇。研究成果获得“中国公路学会科学技术奖一等奖”2次。部分研究成果已经获得实际应用,产生了显著的经济效益和社会效益。

 

著作文集(期刊专著等)

在包括国际顶级期刊TKDE、TPDS、TITS以及国际顶级会议KDD、IJCAI、AAAI等发表论文100余篇。

【1】Sizhen Du, Guojie Song*, Haikun Hong. Collective Causal Inference with Lag Estimation. Accepted by Neurocomputing.

【2】Junshan Wang, Guojie Song*. A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction. Accepted by Neurocomputing.

【3】Lun Du, Zhicong Lu, Yun Wang, Guojie Song*, Yiming Wang, Wei Chen. Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. Accepted by IJCAI2018. 【CCF A类】

【4】Lun Du, Yun Wang, Guojie Song*, Zhicong Lu, Junshan Wang. Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding. Accepted by IJCAI2018. 【CCF A类】

【5】Qin Tian, Wufan Shangguan, Guojie Song*, Jie Tang. Spatio-Temporal Routine Mining on Mobile Phone Data, ACM Transactions on Knowledge Discovery from Data (TKDD), to be published.

【6】Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei (Mark) Zhang. Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality. IEEE Trans. Knowl. Data Eng (TKDE), to be published. 【CCF A类】

【7】Yi Luo, Guojie Song*, Pengyu Li, Zhongang Qi. Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. Accepted by AAAI 2108.【CCF A类】

【8】Sizhen Du, Lei Han, Guojie Song*. Temporal Causal Inference with Time Lag. Neural Computation, 30 (1), 271-291(2018).

【9】Zhao Tong, Guojie Song*, Xinran He. Inferring diffusion networks with life stage heterogeneity. SCIENCE CHINA Information Sciences 61 (9), 092101,(2018). 【学院A类】

【10】Peng Dou, Guojie Song*, Tong Zhao. Network Topology Inference from Incomplete Observation Data. SCIENCE CHINA Information Sciences 61 (2), 092101,(2018). 【学院A类】

【11】Lun Du, Guojie Song*, Yiming Wang, Jipeng Huang, Mengfei Ruan, Zhangyuang Yu.Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach. IEEE Intell. Transport. Syst. Mag. 10(1): 107-120 (2018). 【IF="3.654,学院A类, SCI】

【12】Sizhen Du, Guojie Song*, Haikun Hong. Learning Dynamic Dependency Network Structure with Time Lag. SCIENCE CHINA Information Sciences v61, n5, May 1, 2018. 【学院A类】

【13】Dong Liu, Yun Jing, Jing Zhao, Wenjun Wang, Guojie Song. A Fast and Efficient Algorithm for Mining Top-k Nodes in Complex Networks. Scientific Reports | 2017 Feb 27;7:43330. doi: 10.1038/srep43330.【5-year IF="5.525】【学院 A类】

【14】Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, and Jimeng Sun. StructInf: Mining Structural Influence from Social Streams. AAAI 2017: 73-80. 【CCF A类】

【15】Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang: Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. (TKDE2017) 29(2): 359-372 (2017)【CCF A类】

【16】Guojie Song, Lei Han, Kunqing Xie: Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. (TKDE2015):2217-2230.【CCF A类】

【17】Guojie Song, Xiabing Zhou, Yu Wang, Kunqing Xie: Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method. IEEE Transactions on TPDS2015:1379-1392【CCF A类】

【18】Wenhao Huang, Guojie Song*, Haikun Hong, Kunqing Xie: Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning. IEEE Transactions on ITS2014:2191-2201【WOS:000343002400029】

【19】Lei Han, Yu Zhang, Guojie Song*, Kunqing Xie: Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI2014:1854-1860【CCF A类】

【20】Lei Han, Guojie Song, Gao Cong, Kunqing Xie: Overlapping decomposition for causal graphical modeling. KDD2012:114-122.【CCF A类】

【21】Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Kunqing Xie. Simulated Annealing based Influence Maximization in Social Networks. AAAI 2011:127-132【CCF A类】

【22】Yu Wang, Gao Cong, Guojie Song, Kunqing Xie: Community-based greedy algorithm for mining top-K influential nodes in social networks. KDD:2010:1039-1048.【CCF A类】

【23】Tian Qin, Guojie Song*, Sizhen Du: Routine Mining Based Anomaly Detection in Mobile Phone Data. SDM 2016: 180-188

【24】Xiaodong Chen, Guojie Song*, Xinran He, Kunqing Xie. On Influential Nodes Tracking in Dynamic Social Networks. SDM 2015:613-621.

【25】Xinran He, Guojie Song*, Wei Chen, Qingye Jiang. Influence blocking maximization in social networks under the competitive linear threshold model. SDM 2012:463-474.

学术荣誉(获奖情况)

2012 中国公路学会科学技术奖一等奖

2012 山西省科学技术奖二等奖

2013 中国公路学会科学技术奖一等奖

社会服务(社会兼职、杂志编委等)

多个国际顶级会议(WWW、AAAI、IJCAI、ICDE等)的程序委员