基本情况

林绍福，研究员，中国电子学会高级会员、中国计算机学会终身（高级）会员和区块链专委会执行委员,中国统计学会残障统计分会常务理事，中国大数据产业生态联盟专家委委员，北京通信信息协会副理事长，北京大数据研究院理事，国际医学人工智能期刊JAIMS编委。1990年毕业于中国科技大学计算机科学技术系，2002年获北京大学理学博士，2005年获评教授级高工。先后在海南省信息中心、北京市信息资源管理中心、信息办、经济信息化委和北京工业大学从事信息化、电子政务与信息资源管理、数字城市、智慧城市、大数据等相关研究、项目建设与应用促进工作。近年主持了绿色智慧乡村等北京市科技计划课题，参与科技冬奥、物联网与智慧城市重点专项课题，主持北京市和海南省的信息化、智慧城市、大数据、电子政务、高精尖产业等相关规划设计和政策标准课题20多项。曾主持863课题1项、北京市科技计划课题和数字北京重点项目多项。参加抗击非典、北京奥运会等重大活动，获得北京市委市政府授予“北京奥运会残奥会先进个人”和“抗击非典先进个人”荣誉称号。获省部级一等奖2项、二等奖2项和三等奖1项。已发表SCI/EI和核心期刊论文70多篇，申请及获得授权国际专利、国家发明专利多项。

研究方向

智慧城市时空大数据，大数据计算与智能，区块链与数据治理，物联网与感知智能

科研项目

1.在研项目：

（1）“科技冬奥”专项项目“冬奥会首钢赛区数字化生态创意设计研究与示范”之课题“首钢赛区数字化生态自适应协同管控集成服务系统设计与开发”；

（2）“物联网与智慧城市关键技术与应用示范”重点专项项目“面向城市宜居的认知计算与一体化服务平台及其应用示范”之课题“宜居城市全域联动认知计算关键技术研究与系统研发”；

（3）北京市自然科学基金-海淀原始创新联合基金项目“面向远程医疗的无线体域网数据传输关键技术研究”；

（4）技术转移项目“城管执法‘三新’调研及算法集市建设研究”；

（5）北京工业大学服务首都重大战略决策咨询项目“养老服务供需精准对接实施路径研究”。

2.近五年完成的主要项目：

（1）北京市科技冬奥专项项目“国家速滑馆智能化服务关键技术研究与应用”和 “国家速滑馆项目智慧场馆建设方案咨询服务”；

（2）北京市科技计划项目“绿色智慧乡村关键技术与集成应用研究”；

（3）中国残联信息中心“十四五”残疾人事业信息化发展规划研究；

（4）北京市主管部门项目“面向精神健康服务的知识图谱关键技术与应用研究”；

（5）技术转移项目“北京遥感数据专区建设顶层设计研究”；

（6）北京市世园局“2019年中国北京世界园艺博览会门票销售渠道设计与政策研究”；

（7）“北京经济技术开发区高精尖产业链图研究”。

获奖情况

（1）2011年11月，“北京市政务信息资源共享交换平台”项目，获2010年北京市科学技术奖三等奖。

（2）2010年2月，“政务地理空间信息资源共享服务体系建设及应用”项目，获国家测绘地理信息局、中国地理信息系统协会颁发“2010年地理信息科技进步奖二等奖”。

（3）2008年10月，北京市委市政府授予“北京奥运会残奥会先进个人”荣誉称号。

（4）2003年7月，北京市委市政府授予“抗击非典先进个人”荣誉称号。

（3）1997年4月，“海南省工商行政管理信息系统”获国家信息中心授予国家经济信息系统建设成果一等奖。

（4）1997年4月，“海南省国土资源信息系统”获国家信息中心授予国家经济信息系统建设成果一等奖。

（5）1997年4月，“海南省旅游信息系统”获国家信息中心授予国家经济信息系统建设成果二等奖。

代表性研究成果

近五年发表的重要学术论文：

[1]Lin, S., Zhang, C., Ding, L., Zhang, J., Liu, X., Chen, G., Wang, S. and Chai, J., 2022. Accurate Recognition of Building Rooftops and Assessment of Long-Term Carbon Emission Reduction from Rooftop Solar Photovoltaic Systems Fusing GF-2 and Multi-Source Data.Remote Sensing,14(13), p.3144.

[2]Lin, S., Fang, W., Wu, X., Chen, Y. and Huang, Z., 2018. A spark-based high performance computational approach for simulating typhoon wind fields.IEEE Access,6, pp.39072-39085.

[3]Zhang, J.,Lin, S., Ding, L. and Bruzzone, L., 2020. Multi-scale context aggregation for semantic segmentation of remote sensing images.Remote Sensing,12(4), p.701.

[4]Ding, L., Lin, D.,Lin, S., Zhang, J., Cui, X., Wang, Y., Tang, H. and Bruzzone, L., Looking outside the window: Wide-context transformer for the semantic segmentation of high-resolution remote sensing images. arXiv 2021.arXiv preprint arXiv:2106.15754.

[5]Lin, S., Zhao, J., Li, J., Liu, X., Zhang, Y., Wang, S., Mei, Q., Chen, Z. and Gao, Y., 2022. A Spatial–Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM2. 5 Concentration Prediction.Entropy,24(8), p.1125.

[6]Liu, X., Zhao, J.,Lin, S., Li, J., Wang, S., Zhang, Y., Gao, Y. and Chai, J., 2022. Fine-Grained Individual Air Quality Index (IAQI) Prediction Based on Spatial-Temporal Causal Convolution Network: A Case Study of Shanghai.Atmosphere,13(6), p.959.

[7]Wu, Y.,Lin, S., Peng, F. and Li, Q., 2019. Methods and application of archeological cloud platform for grand sites based on spatio-temporal big data.ISPRS International journal of geo-information,8(9), p.377.

[8]Lin, S., Xu, Z., Sheng, Y., Chen, L. and Chen, J., 2022. AT-NeuroEAE: A Joint Extraction Model of Events With Attributes for Research Sharing-Oriented Neuroimaging Provenance Construction.Frontiers in Neuroscience,15, p.1863.

[9]Lin, S., Fu, Y., Jia, X., Ding, S., Wu, Y. and Huang, Z., 2020. Discovering correlations between the COVID-19 epidemic spread and climate.International Journal of Environmental Research and Public Health,17(21), p.7958.

[10]Fu, Y.,Lin, S.and Xu, Z., 2022. Research on Quantitative Analysis of Multiple Factors Affecting COVID-19 Spread.International Journal of Environmental Research and Public Health,19(6), p.3187.

[11]Lin, S., Shi, C. and Chen, J., 2022. GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.BMC bioinformatics,23(1), pp.1-17.

[12]Lin, S., Wang, M., Shi, C., Xu, Z., Chen, L., Gao, Q. and Chen, J., 2022. MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.BMC bioinformatics,23(1), pp.1-19.

[13]Guo, C.,Lin, S., Huang, Z. and Yao, Y., 2022. Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+ BiLSTM.Health information science and systems,10(1), p.15.

[14]Lin, S., Gao, J., Zhang, S., He, X., Sheng, Y. and Chen, J., 2020. A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and Web farming mode of Web intelligence.World Wide Web,23, pp.1769-1790.

[15]Sheng, Y., Chen, J., He, X., Xu, Z., Gao, J. andLin, S., 2020. A topic learning pipeline for curating brain cognitive researches.IEEE Access,8, pp.191758-191774.

[16]Chen, H.M., Huang, S., Wang, P., Chen, T., Fang, C.,Lin, S.and Li, F., 2022. A Joint Positioning Algorithm in Industrial IoT Environments with mm-Wave Communications.Symmetry,14(7), p.1335.

[17]Chen, H.M., Wang, S.F., Wang, P.,Lin, S.and Fang, C., 2022. Deep Q-learning for intelligent band coordination in 5g heterogeneous network supporting v2x communication.Wireless Communications and Mobile Computing,2022.

[18]Siyu, Q.I., Shuopeng, L.I.,Shaofu, L.I.N., Saidi, M.Y. and Ken, C.H.E.N., 2021, September. Energy-efficient VNF deployment for graph-structured SFC based on graph neural network and constrained deep reinforcement learning. In2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS)(pp. 348-353). IEEE.

[19]Yao, Y.,Lin, S., Huang, Z., Li, S., Guo, C. and Wu, Y., 2022, October. Research on the Construction of Psychological Crisis Intervention Strategy Service System. InHealth Information Science: 11th International Conference, HIS 2022, Virtual Event, October 28–30, 2022, Proceedings(pp. 209-216). Cham: Springer Nature Switzerland.

[20]Jing, X.,Lin, S.and Huang, Z., 2021. Research on Suicide Identification Method Based on Microblog “Tree Hole” Crowd. InHealth Information Science: 10th International Conference, HIS 2021, Melbourne, VIC, Australia, October 25–28, 2021, Proceedings 10(pp. 141-149). Springer International Publishing.

[21]Wang, M., Chen, J. andLin, S., 2021, December. Medication recommendation based on a knowledge-enhanced pre-training model. InIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology(pp. 290-294).

[22]Chang, X.,Lin, S.and Liu, X., 2022, September. TISM-CAE: A Fast Unsupervised Learning Method for Trajectory Similarity Measure via Convolutional Auto-Encoder. InProceedings of the 7th International Conference on Cyber Security and Information Engineering(pp. 140-148).

[23]Lin, S., Li, Y., Chen, H., Li, J. and Jia, X., 2021, November. Personal Trajectory Verification Based on Blockchain and Zero-knowledge Proof. In2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)(pp. 493-497). IEEE.

[24]Zhao, J.,Lin, S., Liu, X., Chen, J., Zhang, Y. and Mei, Q., 2021, November. ST-CCN-PM2. 5: Fine-grained PM2. 5 concentration prediction via spatial-temporal causal convolution network. InProceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities(pp. 48-55).

[25]Jing, X.,Lin, S.and Huang, Z., 2020. Research on the behavior pattern of microblog “tree hole” users with their temporal characteristics. InHealth Information Science: 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings 9(pp. 25-34). Springer International Publishing.

[26]Lin, S., Li, J. and Liang, W., 2020, June. Research on strong supervision algorithm model based on blockchain in e-government. In2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)(pp. 345-349). IEEE.

[27]Lin, S., Li, J., Jia, X. and Gong, J., 2019, December. Research on confirming the rights of government data resources based on smart contract. In2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)(Vol. 1, pp. 1675-1679). IEEE.

[28]Gong, J.,Lin, S.and Li, J., 2019, December. Research on personal health data provenance and right confirmation with smart contract. In2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)(Vol. 1, pp. 1211-1216). IEEE.

[29]Sheng, Y.,Lin, S., Gao, J., He, X. and Chen, J., 2019, November. Research sharing-oriented functional neuroimaging named entity recognition. In2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(pp. 1629-1632). IEEE.

[30]Qi, Y.,Lin, S.and Huang, Z., 2019. Classification of skin pigmented lesions based on deep residual network. InHealth Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings 8(pp. 58-67). Springer International Publishing.

[31]Li, J.,Lin, S., Jia, X. and Gao, S., 2019, Research on Intelligent Acquisition of Shared Data Based on Government Information Resource Directory. In2019 2nd International Conference on Mechanical, Electronic and Engineering Technology(MEET 2019)(pp.357-364).

[32]Zhao, X.,Lin, S.and Huang, Z., 2018. Extraction of semantic relations from medical literature based on semantic predicates and SVM. InHealth Information Science: 7th International Conference, HIS 2018, Cairns, QLD, Australia, October 5–7, 2018, Proceedings 7(pp. 17-24). Springer International Publishing.

联系方式

电话：010-67391304 邮箱：linshaofu@bjut.edu.cn