宋国杰
职称：长聘副教授/研究员
研究领域：图机器学习与图数据挖掘、多智能体与社会演化
办公电话：86-10-62754785
电子邮件：gjsong@pku.edu.cn
个人简介
研究领域为图机器学习与数据挖掘、多智能体与社会演化。代表性成果包括：1）揭示了社群中信息传播影响力的局部性规律，提出了基于社群分治的影响最大化挖掘方法，解决了挖掘算法的可扩展性难题，“极大加速了（Significant speedups）算法性能”。2）在国际上较早开展基于深度学习理论的网络交通流演变模式表征研究，提出了基于深度信念网络的网络交通流预测方法，解决了大规模路网交通流协同预测的难题，被评价为“开创性工作（A pioneering work）”。3）提出的动态网络嵌入表示学习方法，解决了大规模图嵌入的动态性表征难题，被评价为“著名工作（Notable work）”。部分成果已应用于国家高速公路网应急指挥调度系统和阿里巴巴电商平台，产生了显著的经济和社会效益。
在国际重要期刊和会议发表论文130余篇（包含CCFA/B论文80余篇），获最佳论文提名奖和最佳论文奖2项。承担科研项目30+项，包括国家重点研发计划、国家科技支撑计划、国家高技术研究发展计划、国家自然基金等国家课题，以及与阿里巴巴、华为等知名企业合作课题。担任“北大-阿里妈妈人工智能创新联合实验室”联合实验室主任。
获省部级和一级学会奖励5项，包括：北京市自然科学奖二等奖（2021，排名2/3）、中国计算机学会自然科学奖二等奖（2020，排名2/2）、中国公路学会科学技术奖一等奖2项（2012，排名 3/15；2013，排名2/15）和山西省科学技术奖二等奖（2012，排名 3/10）。获得5项国家级教学奖励，包括：“国家级精品课（2008，排名4/5）”、“国家级精品资源共享课（2016，团队奖）”、“国家精品在线开放课程”（2018，排名5/5）、“国家一流本科课程--线上线下混合式一流课程（2020，排名3/5）”和“国家一流本科课程--线上一流课程（2020，排名5/5）”。
获得包括“兴证全球基金奖教金 师德优秀奖（2022）”、“中国工商银行优秀教师奖（2021）”和“嘉里集团郭氏基金树人奖教金（2015）”、“学院优秀共产党员（2020）”、“学院优秀班主任（2016，2022）”和“学院招生工作先进个人”（2022）等荣誉称号。
担任智能交通系统领域顶级期刊“IEEE Transaction on Intelligent Transportation Systems”、大数据领域顶级期刊“IEEE Transaction on Big Data”、专家系统领域知名期刊“Expert System with Applications”的编委。担任人工智能领域顶级会议NeurIPS、ICML、ICLR、AAAI、KDD、IJCAI、WWW等的资深程序委员或程序委员。
代表性学术论著
Selected Journal Publications
[1] Guojie Song, Liang Zhang, Ziyao Li and Yi Li: Large Scale Network Embedding: A Separable Approach. IEEE Trans. Knowl. Data Eng.(TKDE’22) 34(4): 1829-1842 (2022).
[2] Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu. Domain Adaptive Network Embedding. IEEE Transactions on Big Data (TBD’22) 8(5): 1220-1232 (2022)
[3] Guojie Song, Qingqing Long, Yi Luo, Pengyu Li, Yiming Wang. Deep Convolutional Neural Network based Medical Conception Normalization. IEEE Transactions on Big Data(TBD’22): 1195-1208 (2022)
[4] Guojie Song, Yun Wang, Lun Du, Yi Li, Junshan Wang. Network Embedding on Hierarchical Community Structure Network. ACM Trans. Knowl. Discov. Data (TKDD’21) 15(4): 62:1-62:23 (2021).
[5] Shuai Liu#, Guojie Song*, Wenhao Huang. Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning. ACM Trans. Knowl. Discov. Data(TKDD’20) 14(2): 17:1-17:20 (2020).
[6] Haibing Lu, Qi Liu, Samorani Michele, Guojie Song, Xi Chen, Yanjiang Yang: Stochastic Workflow Authorizations with Queueing Constraints. IEEE Trans. Dependable Secur. Comput(TDSC’21). 18(4): 1605-1619 (2021)
[7] Yun Wang#, Guojie Song*, Lun Du, Zhicong Lu. Real-time Estimation of the Urban Air Quality with Mobile Sensor System: ACM Trans. Knowl. Discov. Data (TKDD’19) 13(5): 49:11-49:19 (2019).
[8] Guojie Song, Yuanhao Li, Junshan Wang, Lun Du. Inferring Explicit and Implicit Social Ties Simultaneously in Mobile Social Network, Sci. China Inf. Sci. 63(4) (2020).
[9] Sizhen Du#, Guojie Song*, Haikun Hong. Collective Causal Inference with Lag Estimation. Neurocomputing 323: 299-310 (2019).
[10] Junshan Wang#, Guojie Song*. A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction. Neurocomputing 314: 198-206 (2018).
[11] Qin Tian#, Wufan Shangguan, Guojie Song*, Jie Tang. Spatio-Temporal Routine Mining on Mobile Phone Data, ACM Trans. Knowl. Discov. Data (TKDD’18) 12(5): 56:1-56:24 (2018).
[12] 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’18). 30(12): 2285-2297 (2018).
[13] Sizhen Du#, Guojie Song*, Lei Han, Haikun Hong. Temporal Causal Inference with Time Lag. Neural Comput. 30(1) (2018).
[14] Zhao Tong#, Guojie Song*, Xinran He. Inferring diffusion networks with life stage heterogeneity. Sci. China Inf. Sci (SCIS’18). 61(9): 092101:1-092101:16 (2018).
[15] Peng Dou#, Guojie Song*, Tong Zhao. Network Topology Inference from Incomplete Observation Data. Sci. China Inf. Sci (SCIS’18). 61(2): 028102:1-028102:3 (2018).
[16] 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).
[17] Sizhen Du#, Guojie Song*, Haikun Hong. Learning Dynamic Dependency Network Structure with Time Lag. Sci. China Inf. Sci(SCIS’18).61(5):052101:1-052101:16 (2018).
[18] Dong Liu, Yun Jing, Jing Zhao, Wenjun Wang, Guojie Song. A Fast and Efficient Algorithm for Mining Top-k Nodes in Complex Networks. Scientific Report 7,43330 (2017)
[19] 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. (TKDE’17) 29(2): 359-372 (2017)
[20] Guojie Song, Lei Han, Kunqing Xie: Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. (TKDE’15):2217-2230.
[21] Guojie Song, Xiabing Zhou*, Yu Wang, Kunqing Xie: Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method. IEEE Trans. Parallel Distributed Syst (TPDS’15). 26(5): 1379-1392 (2015).
[22] Wenhao Huang#, Guojie Song*, Haikun Hong, Kunqing Xie: Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning. IEEE Trans. Intell. Transp. Syst.(TITS’14) 15(5): 2191-2201 (2014)
[23] Guojie Song*, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang: Accelerating sequence searching: dimensionality reduction method. Knowl. Inf. Syst.(KAIS’09) 20(3): 301-322 (2009).
[24] Bin Cui, Lijiang Chen, Linhao Xu, Hua Lu, Guojie Song, Quanqing Xu: Efficient Skyline Computation in Structured Peer-to-Peer Systems. IEEE Trans. Knowl. Data Eng. (TKDE’09) 21(7): 1059-1072 (2009)
[25] Xiaojun Ma#, Ziyao Li, Guojie Song*, Chuan Shi. Learning Discrete Adaptive Receptive Fields for Graph Convolutional Networks. Science China Information Science. Accepted.
Selected Conference Publications
[26] Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song*, Liang Wang, Bo Zheng. A Learnable Structural Encoding Architecture for Transformer on Graphs. WWW’23.
[27] Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin and Shirui Pan. Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW’23.
[28] Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song*, Jianye HAO. Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS’22.
[29] Zheng Fang, Ziyun Zhang, Guojie Song*, Yingxue Zhang, Dong Li, Jianye Hao, and Xi Wang. Invariant Factor Graph Neural Networks. ICDM’22.
[30] Lingjun Xu, Shiyin Zhang, Guojie Song*, Junshan Wang, Tianshu Wu and Guojun Liu. Taxonomy-Enhanced Graph Neural Networks. CIKM’22.
[31] Junshan Wang, Wenhao Zhu, Weiyu Zhang, Guojie Song*, Liang Wang. Streaming Graph Neural Networks via Generative Replay. KDD’22.
[32] Zheng Fang, Lingjun Xu, Guojie Song*, Qingqing Long and Yingxue Zhang. Polarized Graph Neural Networks. WWW’22.
[33] Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song* and Liang Wang. Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. WWW’22.
[34] Shuwen Yang#, Ziyao Li, Guojie Song*, Lingsheng Cai. Deep Molecular Representation Learning via Fusing Physical and Chemical Information. NeurIPS’21:16346-16357.
[35] Xiaojun Ma#, Hanyue Chen, Guojie Song*. EnergyReg: Alleviating Over-Smoothing in Graph Neural Networks with Local Energy. CIKM’21:1191-1201.
[36] Zheng Fang#, Qingqing Long, Guojie Song*, Kunqing Xie. Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. KDD’21:364-373.
[37] Qingqing Long#, Lingjun Xu, Zheng Fang, Guojie Song*. HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. KDD’21:1129-1138.
[38] Ziyao Li#, Shuwen Yang, Guojie Song*. Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. ICLR’21.
[39] Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu and Guojie Song. Lorentzian Graph Convolutional Networks. WWW’21:1249-1261.
[40] Qingqing Long#, Yilun Jin, Yi Wu , Guojie Song*. Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. WWW’21: 1204-1214.
[41] Xiaojun Ma#, Junshan Wang, Hanyue Zhang, Guojie Song*. Improving Graph Neural Networks with Structural Adaptive Receptive Fields. WWW’21:1204-1214.
[42] Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye. Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI’21: 4697-4705.
[43] Yi LI#, Yilun Jin, Guojie Song*, Zihao Zhu, Chuan Shi, Yiming Wang. GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. AAAI’21: 4206-4214.
[44] Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu: Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. SDM’21:64-72.
[45] Xiaojun Ma#, Ziyao Li, Siwei Wei, Guojie Song* and Chuan Shi: Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts. ADMA’20: 176-190. 【Best Research Paper Awarded】
[46] Junshan Wang#, Guojie Song*, Yi Wu, Liang Wang. Streaming Graph Neural Networks via Continuous Learning. CIKM’20:1515-1524.
[47] Junshan Wang#, Guojie Song*, Yuyu Zhang. Learning Node Representations from Noisy Graph Structure. ICDM’20:1310-1315.
[48] Qingqing Long#, Yilun Jin, Guojie Song*, Yi Li, Wei Lin. Graph Structural-topic Neural Network. KDD’20:1065-1073.
[49] Shuwen Yang#, Guojie Song*,Yilun Jin, Lun Du. Domain Adaptive Classification on Heterogeneous Information Networks, IJCAI2020:1410-1416.
[50] Junshan Wang#, Yilun Jin, Guojie Song*, Xiaojun Ma. EPNE: Evolution Pattern Preserving Network Embedding, ECAI’20:1603-1610.
[51] Lichen Jin#, Yizhou Zhang, Guojie Song*, Yilun Jin. Active Domain Transfer on Network Embedding, WWW’20:2683-2689.
[52] Xiao Wang, Ruijie Wang, Chuan Shi, Guojie Song. Multi-Component Graph Convolutional Collaborative Filtering. AAAI’20:6267-6274.
[53] Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song. Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. AAAI’20: 3617-3624.
[54] Yilun Jin#, Guojie Song*, Chuan Shi. GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI’20:4361-4368.
[55] Qingqing Long#, Yiming Wang#, Lun Du#, Guojie Song*, Wei Lin. Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM2109.【Best Research Paper Runner-Up Awarded】
[56] Yizhou Zhang#, Guojie Song*, Lun Du, Shuwen Yang, Yilun Jin. DANE: Domain Adaptive Network Embedding. IJCAI’19:4362-4368.
[57] Yun Wang#, Du Lun#, Guojie Song*, Xiaojun Ma, Lichen Jin, Wei Lin. Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. IJCAI’19: 3799-3805.
[58] Ziyao Li#, Liang Zhang, Guojie Song*. GCN-LASE: Towards Adequately Leveraging Link Attributes in Graph Convolutional Networks. IJCAI’19:2959-2965.
[59] Junshan Wang#, zhicong Lu, Guojie Song*, Yue Fan, and Lun Du. Tag2Vect: Tag Embedding on Tagged Networks. WWW’19:3314-3320 .
[60] Ziyao Li#, Liang Zhang, Guojie Song*. SepNE: Bringing Separability to Network Embedding, AAAI’19: 4261-4268.
[61] Yizhou Zhang#, Xiaojun Ma, Guojie Song*. Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. ICDM’18:777-786.
[62] Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Guojie Song, Yutao Zhang, Fengmei Jin. MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. CIKM’18:327-336.
[63] Lun Du#, Zhicong Lu, Yun Wang, Guojie Song*, Yiming Wang, Wei Chen. Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. IJCAI’18:2079-2085.
[64] Lun Du#, Yun Wang, Guojie Song*, Zhicong Lu, Junshan Wang. Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding. IJCAI’18:2086-2092.
[65] Yi Luo#, Guojie Song*, Pengyu Li, Zhongang Qi. Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. AAAI’18:5868-5875.
[66] 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’17: 73-80.
[67] Tian Qin#, Guojie Song*, Sizhen Du: Routine Mining Based Anomaly Detection in Mobile Phone Data. SDM’16: 180-188.
[68] Xiaodong Chen#, Guojie Song*, Xinran He, Kunqing Xie. On Influential Nodes Tracking in Dynamic Social Networks. SDM 2015:613-621.
[69] Xiabing Zhou#, Wenhao Huang, Ni Zhang, Sizhen Du, Guojie Song, Kunqing Xie: Probabilistic dynamic causal model for temporal data. IJCNN 2015: 1-8.
[70] Lei Han#, Yu Zhang, Guojie Song*, Kunqing Xie: Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI2014:1854-1860.
[71] Mo Yu#, Wenjun Si, Guojie Song, Zhenhui Li, John Yen: Who were you talking to - Mining interpersonal relationships from cellphone network data. ASONAM’14: 485-490.
[72] Lei Han#, Guojie Song*, Gao Cong, Kunqing Xie: Overlapping decomposition for causal graphical modeling. KDD’12:114-122.
[73] Xinran He#, Guojie Song*, Wei Chen, Qingye Jiang. Influence blocking maximization in social networks under the competitive linear threshold model. SDM’12:463-474.
[74] Ping Zhang#, Kunqing Xie, Guojie Song: A short-term freeway traffic flow prediction method based on road section traffic flow structure pattern. ITSC’12: 534-539.
[75] Ruiqi Liu, Xingxing Xing, Guojie Song*, Kunqing Xie, Ping Zhang: Measurement analysis of traffic flow uncertainty on Chinese highway network. ITSC’12: 540-545.
[76] Qingye Jiang#, Guojie Song*, Gao Cong, Yu Wang, Kunqing Xie. Simulated Annealing based Influence Maximization in Social Networks. AAAI ’11:127-132.
[77] Yu Wang#, Gao Cong, Guojie Song*, Kunqing Xie: Community-based greedy algorithm for mining top-K influential nodes in social networks. KDD’10:1039-1048.
[78] ZhengBin Dong#, GuoJie Song, KunQing Xie, JingYao Wang: An experimental study of large-scale mobile social network. WWW’09: 1175-1176.
[79] Tianshu Wu, Kunqing Xie, Guojie Song*, Cheng Hu: A Multiple SVR Approach with Time Lags for Traffic Flow Prediction. ITSC’08: 228-233
[80] Cheng Hu, Kunqing Xie, Guojie Song*, Tianshu Wu: Hybrid Process Neural Network based on Spatio-Temporal Similarities for Short-Term Traffic Flow Prediction. ITSC’08: 253-258
[81] Meng Shuai, Kunqing Xie, Xiujun Ma*, Guojie Song: An On-Road Wireless Sensor Network Approach for Urban Traffic State Monitoring. ITSC’08: 1195-1200
Other Papers
[82] Peng Dou, Sizhen Du, Guojie Song*: Budget Minimization with Time and Influence Constraints in Social Network. APWeb (1) 2016: 304-315
[83] Peng Dou, Sizhen Du, Guojie Song*: Inferring Diffusion Network on Incomplete Cascade Data. WAIM (1) 2016: 325-337
[84] Wenhao Huang, Haikun Hong, Kaigui Bian*, Xiabing Zhou, Guojie Song, Kunqing Xie: Improving deep neural network ensembles using reconstruction error. IJCNN 2015: 1-7
[85] Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song*, Kunqing Xie: Probabilistic dynamic causal model for temporal data. IJCNN 2015: 1-8
[86] Dong Liu, Dequan Duan, ShiKai Sui, Guojie Song. Effective semisupervised community detection using negative information. Mathematical Problems in Engineering 2015
[87] Danmeng Liu, Wei Wei, Guojie Song, Ping Lu. Community Discovery with Location-Interaction Disparity in Mobile Social Networks. ZTE Communications 13 (2), 53-61
[88] Yu Lei, Man Li, Weisong Hu, Guojie Song*, Kunqing Xie. Efficient methods for rare sequential pattern mining. Journal of Frontiers of Computer Science and Technology 9 (4), 429-437
[89] Xingxing Xing, Wenhao Huang, Guojie Song, Kunqing Xie: Traffic zone division using mobile billing data. FSKD 2014: 692-697
[90] Wenhao Huang, Haikun Hong, Guojie Song*, Kunqing Xie: Deep process neural network for temporal deep learning. IJCNN 2014: 465-472
[91] Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song*, Kunqing Xie: Dynamic boosting in deep learning using reconstruction error. IJCNN 2014: 473-480
[92] Haikun Hong, Wenhao Huang, Guojie Song, Kunqing Xie: Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting. ISNN 2014: 499-507
[93] Xingxing Xing, Man Li, Weisong Hu, Wenhao Huang, Guojie Song, Kunqing Xie: A Spatial-temporal Topic Segmentation Model for Human Mobile Behavior. WAIM 2014: 255-267
[94] Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song*, Kunqing Xie: Deep Architecture for Traffic Flow Prediction. ADMA (2) 2013: 165-176
[95] Wenhao Huang, Man Li, Weisong Hu, Guojie Song*, Kunqing Xie: Automated urban location annotation on mobile records. FSKD 2013: 951-956
[96] Wenhao Huang, Man Li, Weisong Hu, Guojie Song*, Xingxing Xing, Kunqing Xie: Cost sensitive GPS-based activity recognition. FSKD 2013: 962-966
[97] Wenhao Huang, Man Li, Weisong Hu, Guojie Song*, Kunqing Xie: Hierarchical destination prediction based on GPS history. FSKD 2013: 972-977
[98] Wenhao Huang, Guojie Song*, Man Li, Weisong Hu, Kunqing Xie: Adaptive Weight Optimization for Classification of Imbalanced Data. IScIDE 2013: 546-553
[99] Tianshu Wu, Kunqing Xie, Dong Xinpin, Guojie Song: An online boosting approach for traffic flow forecasting under abnormal conditions. FSKD 2012: 2555-2559
[100] Tianshu Wu, Kunqing Xie, Chengkai Nie, Guojie Song: An Adaption of Relief for Redundant Feature Elimination. ISNN (2) 2012: 73-81
[101] Dafeng Xu, Guojie Song, Peng Gao, Rongzeng Cao, Xinwei Nie, Kunqing Xie: Transportation Modes Identification from Mobile Phone Data Using Probabilistic Models. ADMA (2) 2011: 359-371
[102] Nan Zhao, Wenhao Huang, Guojie Song*, Kunqing Xie: Discrete Trajectory Prediction on Mobile Data. APWeb 2011: 77-88
[103] Wenhao Huang, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song*, Guanhua Chen, Yun Jiang, Kunqing Xie: Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data. ADMA (1) 2010: 346-357
[104] Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma: Locally kernel regression adapting with data distribution in prediction of traffic flow. Geoinformatics 2010: 1-6
[105] Hao Tian, Xiujun Ma*, Han Wang, Guojie Song*, Kunqing Xie: A novel approach to estimate human space-time path based on mobile phone call records. Geoinformatics 2010: 1-6
[106] Lei Han, KunQing Xie, GuoJie Song*. Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning. ISNN (2) 2010: 408-415
[107] Fan Lin, Kunqing Xie, Guojie Song*, Tianshu Wu: A Novel Spatio-temporal Clustering Approach by Process Similarity. FSKD (5) 2009: 150-154
[108] Zhengbin Dong, Guojie Song*, Kunqing Xie, Yixian Sun, Jingyao Wang: Adequacy of Data for Mining Individual Friendship Pattern from Cellular Phone Call Logs. FSKD (5) 2009: 573-577
[109] Zhengbin Dong, Guojie Song*, Kunqing Xie, Ke Tang, Jingyao Wang: Statistical Analysis of Real Large-Scale Mobile Social Network. FSKD (2) 2009: 612-616
[110] Tianshu Wu, Kunqing Xie, Guojie Song*, Xingui He: Numerical Learning Method for Process Neural Network. ISNN (1) 2009: 670-678
[111] Meng Shuai, Kunqing Xie, Guanhua Chen, Xiuli Ma, Guojie Song: A Kalman Filter Based Approach for Outlier Detection in Sensor Networks. CSSE (4) 2008: 154-157
[112] Meng Shuai, Kunqing Xie, Wen Pu, Guojie Song*, Xiujun Ma: An online approach based on locally weighted learning for short-term traffic flow prediction. GIS 2008: 45
[113] Shan He, Cheng Hu, Guojie Song*, Kunqing Xie, Yizhou Sun: Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network. ISNN (2) 2008: 560-569
