基本信息

林海伦  女    中国科学院信息工程研究所
电子邮件: linhailun@iie.ac.cn
通信地址: 北京市海淀区树村路19号
邮政编码:

招生信息

   
招生专业
081202-计算机软件与理论
招生方向
大数据分析与知识计算

教育背景

2011-09--2015-07   中国科学院大学   博士

工作经历

   
工作简历
2019-10~现在, 中国科学院信息工程研究所, 副研究员
2015-07~2019-10,中国科学院信息工程研究所, 助理研究员

专利与奖励

   
专利成果
[1] 刘建坤, 林海伦, 孙屹飞, 曹小波. 一种基于工作流的数据分析模型计算引擎系统及运行方法. 202111205487.3, 2021-10-16.
[2] 刘建坤, 林海伦, 刘璐, 曹小波, 孙屹飞. 一种跨地域分布数据中心任务调度方法及系统. 202111204158.7, 2021-10-15.
[3] 林海伦, 刘璐, 刘建坤, 周永彬. 一种面向对话文本的事件抽取方法和系统. 202110142967.3, 2021-02-03.
[4] 林海伦, 刘勇, 李健, 王伟平. 一种融合表示学习和分治策略的大规模本体合并方法. CN: CN110059194A, 2019-07-26.

出版信息

   
发表论文
[1] Zhang, Peng, Zheng, Jun, Lin, Hailun, Liu, Chen, Zhao, Zhuofeng, Li, Chao. Vehicle Trajectory Data Mining for Artificial Intelligence and Real-Time Traffic Information Extraction. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2023, 24(11): 13088-13098, http://dx.doi.org/10.1109/TITS.2022.3178182.
[2] Liu, Yong, Liao, Shizhong, Jiang, Shali, Ding, Lizhong, Lin, Hailun, Wang, Weiping. Fast Cross-Validation for Kernel-Based Algorithms. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2020, 42(5): 1083-1096, http://dx.doi.org/10.1109/TPAMI.2019.2892371.
[3] Lin, Hailun, Liu, Yong, Zhang, Peng, Wang, Jianwu, Rodrigues, JMF, Cardoso, PJS, Monteiro, J, Lam, R, Krzhizhanovskaya, VV, Lees, MH, Dongarra, JJ, Sloot, PMA. Representation Learning of Taxonomies for Taxonomy Matching. COMPUTATIONAL SCIENCE - ICCS 2019, PT Inull. 2019, 11536: 383-397, [4] van der Kleij, Lisa A, de Bresser, Jeroen, Hendrikse, Jeroen, Siero, Jeroen C W, Petersen, Esben T, de Vis, Jill B. Fast CSF MRI for brain segmentation; Cross-validation by comparison with 3D T-1-based brain segmentation methods. PLOS ONE[J]. 2018, 13(4): https://doaj.org/article/d7575e23c2bf45dca669c6c54a7173f4.
[5] Jia, Yantao, Wang, Yuanzhuo, Jin, Xiaolong, Lin, Hailun, Cheng, Xueqi. Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach. ACM TRANSACTIONS ON THE WEB[J]. 2018, 12(2): http://dx.doi.org/10.1145/3132733.
[6] 李然, 林政, 林海伦, 王伟平, 孟丹. 文本情绪分析综述. 计算机研究与发展[J]. 2018, 55(1): 30-52, http://lib.cqvip.com/Qikan/Article/Detail?id=674133349.
[7] Zhang Peng, Li Yan, Lin Hailun, Wang Jianwu, Zhang Chuang, Chen JJ, Yang LT. A Periodic Task-Oriented Scheduling Architecture in Cloud Computing. 2018 IEEE INT CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, UBIQUITOUS COMPUTING & COMMUNICATIONS, BIG DATA & CLOUD COMPUTING, SOCIAL COMPUTING & NETWORKING, SUSTAINABLE COMPUTING & COMMUNICATIONSnull. 2018, 788-794, [8] 付鹏, 林政, 袁凤程, 林海伦, 王伟平, 孟丹. 基于卷积神经网络和用户信息的微博话题追踪模型. 模式识别与人工智能[J]. 2017, 30(1): 73-80, http://lib.cqvip.com/Qikan/Article/Detail?id=671209300.
[9] 林海伦, 贾岩涛, 王元卓, 靳小龙, 程学旗, 王伟平. 基于复合结构的知识库分类体系匹配方法. 计算机研究与发展[J]. 2017, 54(1): 50-62, http://lib.cqvip.com/Qikan/Article/Detail?id=671129861.
[10] 林海伦. 面向开放网络大数据的知识融合方法研究综述. 计算机学报. 2017, [11] 林海伦, 王元卓, 贾岩涛, 张鹏, 王伟平. 面向网络大数据的知识融合方法综述. 计算机学报[J]. 2017, 40(1): 1-27, http://lib.cqvip.com/Qikan/Article/Detail?id=74837488504849554849484849.
[12] Liu, Yong, Liao, Shizhong, Lin, Hailun, Yue, Yinliang, Wang, Weiping. Infinite Kernel Learning: Generalization Bounds and Algorithms. AAAInull. 2017, 2280-2286, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630702046.
[13] Liu Yong, Liao Shizhong, Lin Hailun, Yue Yinliang, Wang Weiping. Generalization Analysis for Ranking Using Integral Operator. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 2273-2279, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630702045.
[14] 李健, 刘勇, 林海伦, 岳银亮, 王伟平. Efficient Kernel Selection via Spectral Analysis. IJCAInull. 2017, https://www.ijcai.org/proceedings/2017/295.
[15] Lin Hailun, Liu Yong, Wang Weiping, Yue Yinliang, Lin Zheng, Koumoutsakos P, Lees M, Krzhizhanovskaya V, Dongarra J, Sloot P. Learning Entity and Relation Embeddings for Knowledge Resolution. INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017)null. 2017, 108: 345-354, http://dx.doi.org/10.1016/j.procs.2017.05.045.
[16] Lin Hailun, Wang Yuanzhuo, Zhang Peng, Wang Weiping, Yue Yinliang, Lin Zheng, Bailey J, Khan L, Washio T, Dobbie G, Huang JZ, Wang R. A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT IInull. 2016, 9652: 325-337, [17] Jia Yantao, Wang Yuanzhuo, Lin Hailun, Jin Xiaolong, Cheng Xueqi, AAAI. Locally Adaptive Translation for Knowledge Graph Embedding. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 992-998, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474201005.
[18] 林海伦, 李焱, 王伟平, 岳银亮, 林政. 基于Cookie的网盘资源在线溯源方法. 通信学报[J]. 2016, 37(12): 77-85, http://lib.cqvip.com/Qikan/Article/Detail?id=670960529.
[19] Zhang Peng, Li Yan, Liu Qingyun, Lin Hailun, IEEE. A Scalable Distributed Private Stream Search System. 2015 IEEE 35TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW)null. 2015, 128-135, [20] 林海伦, 李焱, 王伟平, 岳银亮, 林政. 高效的基于段模式的恶意URL检测方法. 通信学报[J]. 2015, 141-148, http://lib.cqvip.com/Qikan/Article/Detail?id=84888866504849538349484957.
[21] 张鹏, 李鹏霄, 任彦, 林海伦, 杨嵘, 郑超. 面向大数据的分布式流处理技术综述. 计算机研究与发展[J]. 2014, 1-9, http://lib.cqvip.com/Qikan/Article/Detail?id=74708990504849528350484850.
发表著作
(1) 开放网络知识计算——模型、方法及应用, 清华大学出版社, 2018-05, 第 3 作者