熊赟 - 复旦大学 - 计算机科学技术学院

个人简介

复旦大学计算机科学技术学院教授、博士生导师。研究兴趣包括数据科学、数据挖掘和大数据处理。长期从事数据领域研究，在数据科学学科、特异群组挖掘等方面做出了开拓性、系统性工作。研究工作获得了国家自然科学基金、国家863计划、国家科技支撑计划、上海市科委基金等资助，研究成果在包括TKDE、KDD、AAAI、ICDM、CIKM等数据领域国际权威期刊和会议上发表论文50余篇。在国内率先开展大数据和数据科学的研究工作，2009年发表论文“Data Explosion, Data Nature and Dataology”并出版第一本数据科学专著《数据学》（《Dataology and Data Science》），原创性地提出了数据科学的定义和内涵；提出了一类大数据形态--特异群组挖掘，提出了一批新型的大数据挖掘算法，这些算法已被应用于上海市医联平台、上海市证券交易所、上海市交通信息中心等上海市大数据建设重要领域。

研究领域

数据学和数据科学数据挖掘及其应用（金融、保险、生物医疗、智能交通等领域）大数据分析数据云

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Tang Chunlei, Joseph M. Plasekd, Xiong Yun, Zhou Li: Clustering Similar Clinical Documents in Electronic Health Records. ICDS: 2018(6). Yuanliang Zhang, Shanshan Li, Xiangyang Xu, Xiangke Liao, Shazhou Yang, Yun Xiong: ConfigFile++: Automatic comment enhancement for misconfiguration prevention. MaLTeSQuE@SANER2018: 37-42. Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu: Deep Collective Classification in Heterogeneous Information Networks.WWW2018: 399-408. Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu, Shimin Zhao, Shanshan Li: Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions.DASFAA,2018(1): 442-459 Yun Xiong, Yizhou Zhang, Xiangnan Kong, Yangyong Zhu: NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks.IEEE Trans. Knowl. Data Eng. 2018, 30(8): 1547-1560 Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu: Tracking Dynamic Magnet Communities: Insights from a Network Perspective.DASFAA, 2018(1): 406-424 Ting Li, Tao Yu, Lyu Li, Lunbo Lu, Yaoyao Zhuo, Jingge Lian, Yun Xiong, Dexing Kong, Kangan Li: Use of Diffusion Kurtosis Imaging and Quantitative Dynamic Contrast-Enhanced MRI for the Differentiation of Breast Tumors. Journal of Magnetic Resonance Imaging : JMRI, 2018(2): 1-9. Chunlei Tang, Haohan Zhang, Kenneth H. Lai, Yuxuan She, Yun Xiong, Li Zhou: Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map.BIBM2017: 874-879. Shulin Zhou, Shanshan Li, Xiaodong Liu, Xiangyang Xu, Si Zheng, Xiangke Liao, Yun Xiong: Easier Said Than Done: Diagnosing Misconfiguration via Configuration Constraints Analysis: A Study of the Variance of Configuration Constraints in Source Code.EASE2017: 196-201. Guandong Sun, Yun Xiong, Yangyong Zhu: How the Passengers Flow in Complex Metro Networks?SSDBM2017: 23:1-23:6. Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu: Learning Node Embeddings in Interaction Graphs.ACM on Conference on Information and Knowledge Management, 2017: 397-406. Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu: Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.SDM2017: 642-650 Shulin Zhou, Xiaodong Liu, Shanshan Li, Wei Dong, Xiangke Liao, Yun Xiong: ConfMapper: Automated Variable Finding for Configuration Items in Source Code.IEEE International Conference on Software Quality, Reliability and Security Companion, 2016: 228-235. Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu: NetCycle: Collective Evolution Inference in Heterogeneous Information Networks.KDD2016: 1365-1374 Yangyong Zhu, Yun Xiong: Defining Data Science. Computer Science, 2015,1501.05039. Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong: Multi-source Information Fusion for Personalized Restaurant Recommendation.SIGIR, 2015: 983-986 Yun Xiong, Yangyong Zhu, Philip S. Yu: Top-k Similarity Join in Heterogeneous Information Networks.IEEE Trans. Knowl. Data Eng.2015, 27(6): 1710-1723 Zhu Yangyong, Xiong Yun. Towards Data Science. Data Science Journal. 2015, 14:1-7. Congcong Li, Jing Sun, Yun Xiong, Guangyong Zheng: An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks.PAKDD Workshops, 2014: 65-76 Zhicheng Liao，Yun Xiong，Yangyong Zhu. DacIoT: A data cloud for the internet of things. Computer Science and Applications - Proceedings of the Asia-Pacific Conference on Computer Science and Applications (CSAC). 2014: 181-186. Xue Bai, Yitong Wang, Heng Jiang, Zhicheng Liao, Yun Xiong, Xibin Shi: Mining high-temperature event space-time regions in geo-referenced temperature series data.FSKD, 2014: 671-676 Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen: Co-anomaly Event Detection in Multiple Temperature Series.KSEM, 2013: 1-14. Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen: Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion.PAKDD, 2013(2): 173-184. Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu: Time Series Representation: A Random Shifting Perspective.WAIM, 2013: 37-50. Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei: Towards Cohesive Anomaly Mining.Twenty-Seventh AAAI Conference on Artificial Intelligence. AAAI Press, 2013: 984-990. Xue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu: Clustering Based on Yukawa Potential.SDM, 2012: 672-683. Zhicheng Liao, Yun Xiong, Yangyong Zhu: FIND-A Data Cloud Platform for Financial Data Services.DATA, 2012: 117-122. Zhijie Lin, Yun Xiong, Yangyong Zhu: Link Prediction Using BenefitRanks in Weighted Networks.Web Intelligence, 2012: 423-430. Zhijie Lin, Yan Chen, Shiwei Wu, Yun Xiong, Yangyong Zhu, Guangyong Zheng: Mining hub-based protein complexes in massive biological networks.IEEE, 2012: 166-173. Li Xue, Yun Xiong, Yangyong Zhu: A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity.Brain Informatics, 2010: 192-199. Li Xue, Ming Chen, Yun Xiong, Yangyong Zhu: User Navigation Behavior Mining Using Multiple Data Domain Description.Web Intelligence/IAT Workshops, 2010: 132-135. Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu: A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements.IEEE Intelligent Systems, 2009, 24(3): 26-37. Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu: A Cost-Effective LSH Filter for Fast Pairwise Mining.ICDM, 2009: 1088-1093. Yangyong Zhu, Ning Zhong, Yun Xiong: Data Explosion, Data Nature and Dataology.Brain Informatics, 2009: 147-158 Yun Xiong，Yangyong Zhu. Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. International Conference on Data Mining. 2009: 578-587. Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu: An Agent-Based Approach to Mine Transcriptional Regulatory Elements. International Conference on Web Intelligence and Intelligent Agent Technology, 2008: 567-570. Guangyong Zheng, Kang Tu, Qing Yang, Yun Xiong, Chaochun Wei, Lu Xie, Yangyong Zhu, Yixue Li: ITFP: an integrated platform of mammalian transcription factors.Bioinformatics, 2008, 24(20): 2416-2417. Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu: Incremental Mining of Sequential Patterns Using Prefix Tree.Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD, 2007: 433-440. Yun Xiong, Yangyong Zhu: A Multi-Supports-Based Sequential Pattern Mining Algorithm.CIT, 2005: 170-174. 王晓霞，蒋伏松，王宇，熊赟.基于ICD-10诊断编码的慢性病并发症聚类算法[J].大数据，2018(3): 37-45. 于广军，熊贇，彭思佳，等.基于环境气象因素影响的异常就诊量预测[J].大数据，2018(3). 李婷，鲁伦博，卓瑶瑶，连婧阁，孔德兴，熊贇，李康安.扩散峰度成像联合动态对比增强MRI诊断乳腺良恶性病变的价值[J].中华放射学杂志，2018(6): 436-441. 李婷，鲁伦博，卓瑶瑶，连靖阁，孔德兴，熊赟，李康安.扩散峰度成像与扩散加权成像对乳腺癌诊断价值的对比研究[J].中华放射学杂志，2018(3): 177-182. 熊贇，朱扬勇.面向数据自治开放的数据盒模型[J].大数据，2018(2). 朱扬勇，熊贇，廖志成，等.数据自治开放模式[J].大数据，2018(2). 朱扬勇，熊贇.大数据的若干基础研究方向[J].大数据，2017，3(2):104-114. 孙冠东，张兵，刘禹岍，等.基于载客数据的出租车热门区域功能发现[J].计算机工程，2017, 43(5):16-22. 李婷，李康安，熊赟.乳腺癌计算机辅助诊断技术研究进展[J].中华放射学杂志，2017, 51(11): 887-890. 周靖，佘玉轩，熊赟.MaLDA：基于LDA的用药分析[J].计算机工程与应用.2016,(18):8-13. 朱扬勇，熊贇.大数据人才培养的基础条件初探[J].大数据，2016，2(5):107-114. 朱扬勇，熊贇.大数据时代的数据科学家培养[J].大数据，2016，2(3):106-112. 何友，朱扬勇，赵鹏，柴勇，廖志成，周伟，周向东，王海鹏，汪卫，熊赟，许舟军，彭煊，孟晖，王生进.国防大数据概论[J].2016, 38(6):1300-1305. 张一舟，曾剑平，孙婧，熊赟.OMisy:一个面向股吧数据的观点挖掘系统[J].计算机研究与发展.2015, (1): 123-128. 张一舟，曾剑平，孙婧，熊赟.OMisy:一个面向股吧数据的观点挖掘系统[J].计算机研究与发展.2015,(1):123-128. 朱扬勇，熊赟.大数据是数据、技术，还是应用[J].大数据.2015，1(1): 1-12. 吴世伟，熊赟.基于概率矩阵分解的个性化链接预测算法[J].计算机应用与软件.2015,(8): 243-247. 熊赟，朱扬勇.特异群组挖掘：框架与应用[J].大数据.2015，1(2):1-12. 孙婧，熊赟.CMMDI:一个中医多元数据整合平台[C].第31届中国数据库学术会议论文集复旦大学.2014:364-367. 杨林瑞，陈磊，熊赟，先梦涵，朱扬勇.PuMA:面向微博话题分析的舆情数据服务平台[C].中国数据库学术会议.2014. 陈磊，于广军，程思远，王飞，熊赟，刘卉.大数据挖掘平台的构建及其在医疗领域的应用[C].第31届中国数据库学术会议论文集.2014:334-337. 周健雯，李聪聪，熊赟，朱扬勇. 一种基于R*树的自相似性连接算法[J].计算机应用与软件，2014, 31(8):50-53. 徐宇明，陈诚，熊赟，朱扬勇.APT-KNN:一种面向分类问题的高效缺失值填充算法[J].计算机应用与软件，2011, 28(4):135-139. 周坤，王爱荣，张敬谊，熊赟，朱扬勇.VPM:一个就医行为模式挖掘算法[J].计算机应用与软件，2011, 28(8):123-125. 陈鸣，薛慧君，熊赟，朱扬勇. 基于多数据域描述的转录因子结合位点识别[J].计算机应用与软件，2011, 28(6):1-4. 高臻耀，张敬谊，林志杰，熊赟，朱扬勇.一个医保基金风险防控平台中的数据挖掘技术[J].计算机应用与软件，2011, 28(8):120-122. 秦德霖，王爱荣，陈诚，林志杰，熊赟，朱扬勇.一个医保基金风险防控数据仓库的设计和实现[J].计算机应用与软件，2011, 28(7):75-78. 王月，王伟俊，童庆，熊赟，朱扬勇. 一个医保数据仓库的元数据管理解决方案[J]. 计算机应用与软件，2011, 28(8):126-129. 何俊华，张静谊，熊赟，朱扬勇.医保就医聚集行为挖掘[J].计算机应用与软件，2011，28(7)：79-81. 戴东波，熊赟，朱扬勇.基于参考集索引的高效序列相似性查找算法[J].软件学报，2010，21(4):718-731. 戴东波，汤春蕾，熊赟.基于整体和局部相似性的序列聚类算法[J].软件学报.2010, (4): 702-717. 朱扬勇，戴东波，熊赟.序列数据相似性查询技术研究综述[J].计算机研究与发展.2010.47(2):264-276. 戴东波，汤春蕾，邱伯仁，熊赟，朱扬勇.一种优化多重过滤得序列查询算法[J].计算机研究与发展.2010，42(10):1785-1796. 邱伯仁，熊赟，朱扬勇.BioIndex:一种生物序列相似性查询的高效索引[J].计算机应用与软件.2009, 26(10): 1-4. 戴东波，汤春蕾，邱伯仁，熊赟，朱扬勇.一种优化多重过滤的序列查询算法[J].第三届中国数据挖掘学术会议(CCDM2009)论文集复旦大学.2009:80. 朱扬勇，熊赟.BioSeg: 一个生物序列数据模型[J].计算机科学与探索.2008, 1:77-96. 熊赟，邱伯仁，张坤，朱扬勇.Gen-Cluster:一个基因表达数据的高维聚类算法[J].复旦学报（自然科学版）.2008,47(2):135-146. 杨青，郑广勇，熊赟，朱扬勇.Qnet-BSTM:一个转录因子结合位点文本挖掘算法[J].第二十五届中国数据库学术会议(NDBC2008)论文集复旦大学.2008:562-568. 李金玖，熊赟，朱扬勇.不确定数据集上的k-Skyline查询[J].计算机研究与发展.2008，45(suppl.):315-322. 朱扬勇，熊赟.DNA序列数据挖掘技术[J].软件学报.2007，18(11):2766-2781. 熊赟，陈越，朱扬勇.ProFaM：一个蛋白质序列家族挖掘算法[J].计算机研究与发展.2007，44(7):1160-1168. 阮璐，熊赟.基于网络表示学习的miRNA功能相似性研究[J].计算机研究发展，2019(3). Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu. SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks AUTHORS. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. Dan Shi ,Chunlei Tang, Suzanne V Blackley, Liqin Wang, Jiahong Yang, Yanming He, Samuel I Bennett, Yun Xiong, Xiao Shi, Li Zhou, David W Bates. An annotated dataset of tongue images supporting geriatric disease diagnosis. Data in Brief, 2020.08. Huidi Chen，Yun Xiong，Yangyong Zhu，Philip S. Yu. Highly Liquid Temporal Interaction Graph Embeddings. WWW'2,2021.04. Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu. CommDGI: Community Detection Oriented Deep Graph Infomax. ACM International Conference on Information and Knowledge Management (CIKM), 2020. Tao Lei, Yun Xiong, Peng Tian, Yangyong Zhu. MinSR: Multi-level Interests Network for Session-based Recommendation. DASFAA, 2020. Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang. SpEC: Sparse Embedding-based Community Detection in Attributed Graphs. DASFAA, 2020. Yi Xie, Yun Xiong, Yangyong Zhu. SAST-GNN: A Self-Attention based Spatio-Temporal Graph Neural Network for Traffic Prediction. DASFAA, 2020. Yizhu Jiao, Yun Xiong , Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu. Sub-graph Contrast for Scalable Self-Superxised Graph Representation Learning. ICDM, 2020. Yali Xiang, Yun Xiong, Yangyong Zhu.TI-GCN: A Dynamic Network Embedding Method with Time Interval Information. IEEE International Conference on Big Data, 2020. 代表专著熊贇，朱扬勇.《特异群组挖掘》.人民邮电出版社.2020. ISBN：978-115-54326-4. 朱扬勇，熊赟.《生物数据整合与挖掘》.复旦大学出版社.2009.ISBN978-7-309-06614-2/Q.72. 朱扬勇，熊赟.《数据学》.复旦大学出版社.2009.ISBN978-7-309-06956-3/T.350. 熊赟，朱扬勇.《大数据挖掘》.上海科学技术出版社.2016.ISBN：9787547829615.