熊赟老師

2008年于復(fù)旦大學(xué)獲計(jì)算機(jī)軟件與理論專(zhuān)業(yè)理學(xué)博士學(xué)位，同年留校任教，2010年晉升副教授。

作為項(xiàng)目負(fù)責(zé)人主持或參與國(guó)家級(jí)、省部級(jí)或企業(yè)合作項(xiàng)目11項(xiàng)。其中，作為負(fù)責(zé)人主持項(xiàng)目6項(xiàng)（1項(xiàng)國(guó)家自然科學(xué)基金青年基金項(xiàng)目、1項(xiàng)上海市科委基金項(xiàng)目和3項(xiàng)橫向項(xiàng)目，作為復(fù)旦部分負(fù)責(zé)人主持國(guó)家973項(xiàng)目子課題1項(xiàng)）；作為副組長(zhǎng)主持國(guó)家863項(xiàng)目1項(xiàng)；作為項(xiàng)目骨干參與國(guó)家自然科學(xué)基金、國(guó)家863計(jì)劃、國(guó)家973計(jì)劃等項(xiàng)目的研究工作。相關(guān)研究成果在本領(lǐng)域國(guó)際頂級(jí)會(huì)議“IEEE International Conference on Data Mining (ICDM)”、《IEEE Intelligent Systems》、《Bioinformatics》、《軟件學(xué)報(bào)》等國(guó)內(nèi)外權(quán)威期刊或會(huì)議上發(fā)表論文30余篇。出版專(zhuān)著2本。

主要研究興趣包括數(shù)據(jù)科學(xué)和技術(shù)、大規(guī)模數(shù)據(jù)處理、數(shù)據(jù)挖掘及其應(yīng)用等。提出了特異群組挖掘、Day-by-Day行為數(shù)據(jù)、多支持度序列挖掘、生物數(shù)據(jù)模型等學(xué)術(shù)觀(guān)點(diǎn)和見(jiàn)解。

研究興趣

· 數(shù)據(jù)學(xué)和數(shù)據(jù)科學(xué)

· 數(shù)據(jù)挖掘及其應(yīng)用（金融、保險(xiǎn)、生物醫(yī)療、智能交通等領(lǐng)域）

· 大數(shù)據(jù)分析

· 數(shù)據(jù)云

主講課程
本科生專(zhuān)業(yè)課程《數(shù)據(jù)庫(kù)與數(shù)據(jù)倉(cāng)庫(kù)設(shè)計(jì)》
研究生專(zhuān)業(yè)課程《數(shù)據(jù)倉(cāng)庫(kù)與數(shù)據(jù)挖掘》、《高級(jí)數(shù)據(jù)庫(kù)》

科研項(xiàng)目
[1]. 國(guó)家科技支撐計(jì)劃. 證券云平臺(tái)研發(fā)與運(yùn)營(yíng)(2012BAH13F00).（子課題負(fù)責(zé)人）
[2]. 國(guó)家自然科學(xué)基金（青年科學(xué)基金）. 基于特征挖掘的生物網(wǎng)絡(luò)構(gòu)建算法研究(60903075).（項(xiàng)目負(fù)責(zé)人）
[3]. 上海市科委發(fā)展基金項(xiàng)目. 面向醫(yī)保基金風(fēng)險(xiǎn)防控的數(shù)據(jù)分析關(guān)鍵技術(shù)研究與實(shí)現(xiàn)(08511500203).（項(xiàng)目負(fù)責(zé)人）
[4]. 國(guó)家863高技術(shù)研究發(fā)展計(jì)劃基金項(xiàng)目. 轉(zhuǎn)錄因子結(jié)合位點(diǎn)及其組合模塊的挖掘 (2006AA02Z329).（項(xiàng)目副組長(zhǎng)）
[5]. 國(guó)家自然科學(xué)基金項(xiàng)目. 生物序列數(shù)據(jù)庫(kù)數(shù)據(jù)模型、索引、體系結(jié)構(gòu)研究 (60573093).（骨干參與）
[6]. Web 3.0和數(shù)據(jù)挖掘技術(shù)研究 企業(yè)合作項(xiàng)目（項(xiàng)目負(fù)責(zé)人）
[7]. 中小企業(yè)數(shù)據(jù)挖掘技術(shù)預(yù)研 企業(yè)合作項(xiàng)目（項(xiàng)目負(fù)責(zé)人）
[8]. 智能交通數(shù)據(jù)挖掘技術(shù) 企業(yè)合作項(xiàng)目（項(xiàng)目負(fù)責(zé)人）
[9]. 某醫(yī)院信息化發(fā)展規(guī)劃 企業(yè)合作項(xiàng)目（骨干參與）
[10].短線(xiàn)操縱行為的模式與監(jiān)管研究 企業(yè)合作項(xiàng)目（骨干參與）

代表論文
[1]. Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei. Towards Cohesive Anomaly Mining. The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), 2013.
[2]. Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu. Time Series Representation: A Random Shifting Perspective. Web-Age Information Management (WAIM’13), 2013. (The Best Student Paper Award)
[3]. Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen. Co-anomaly Event Detection in Multiple Temperature Series. The 2013 International Conference on Knowledge Science, Engineering and Management (KSEM’13), 2013.
[4]. Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen. Stock Trend Prediction By Classifying Aggregative Web Topic-Opinion. PAKDD, 2013.
[5]. Xue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu. Clustering Based on Yukawa Potential. SIAM Data Mining (SDM12). 2012: 672-683.
[6]. Zhijie Lin, Yan Chen, Shiwei Wu, Yun Xiong, Yangyong Zhu, Guangyong Zheng. Mining hub-based protein complexes in massive biological networks. IEEE BIBM workshop. 2012.
[7]. Zhicheng Liao, Yun Xiong, Yangyong Zhu. FIND: A Data Cloud Platform for Financial Data Services. In Proceedings of First Internationnal Conference on Data Management Technologies and Applications (DATA2012). 2012: 117-122.
[8]. Zhijie Lin, Yun Xiong, Yangyong Zhu. Link prediction using BenefitRanks in weighted networks. IEEE/WIC/ACM International Conference on Web Intelligence (WI’12). 2012.
[9]. Zhijie Lin, Rui Lu, Yun Xiong, Yangyong Zhu. Learning ontology automatically using topic model. IEEE International Conference on Biomedical Engineering and Biotechnology (iCBEB’12). 2012: 360-363.
[10]. Yun Xiong, Junhua He, Yangyong Zhu. TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement. Proceedings of the 2010 IEEE International Conference workshop on Bioinformation and Biomedicine (BIBM'10). 2010: 283-288.
[11]. Li Xue, Yun Xiong, Yangyong Zhu. A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity. Brain Informatics 2010: 192-199.
[12]. Li Xue, Ming Chen, Yun Xiong, Yangyong Zhu. User Navigation Behavior Mining Using Multiple Data Domain Description. Web Intelligence/IAT Workshops 2010: 132-135.
[13]. 戴東波, 熊赟, 朱揚(yáng)勇. 基于參考集索引的高效序列查詢(xún)算法. 軟件學(xué)報(bào). 2010, 21(4): 718-731.
[14]. 朱揚(yáng)勇, 戴東波, 熊赟. 序列數(shù)據(jù)相似性查詢(xún)技術(shù)研究. 計(jì)算機(jī)研究與發(fā)展. 2010. 47(2): 264-276.
[15]. 戴東波, 湯春蕾, 邱伯仁, 熊赟, 朱揚(yáng)勇. 一種優(yōu)化多重過(guò)濾得序列查詢(xún)算法. 計(jì)算機(jī)研究與發(fā)展. 2010, 42(10): 1785-1796.
[16]. Yun Xiong, Yangyong Zhu. Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. In Proceedings of IEEE International Conference on Data Mining (ICDM’09). 2009: 578-587. (Regular Paper).
[17]. Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu. A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements. IEEE Intelligent Systems. 2009: 26-37.
[18]. Gang Zhao, Yun Xiong, Xuchun Su, Longbing Cao, Yangyong Zhu. A Cost-Effective LSH Filter for Fast Pairwise Mining. In Proceedings of IEEE International Conference on Data Mining (ICDM’09). 2009: 1088-1093..
[19]. Yangyong Zhu, Ning Zhong, Yun Xiong. Data Explosion, Data Nature and Dataology. In Proceedings of International Conference on Brain Informatics (BI’09). 2009: 147-158.
[20]. Guangyong Zheng, Kang Tu, Qing Yang, Yun Xiong, Yangyong Zhu, Yixue Li. ITFP: an Integrated Platform of Mammalian Transcription Factors. Bioinformatics. 2008, 24(20): 2416-2417.
[21]. 李金玖, 熊赟, 朱揚(yáng)勇. 不確定數(shù)據(jù)集上的k-Skyline查詢(xún). 計(jì)算機(jī)研究與發(fā)展. 2008, 45(suppl.): 315-322.
[22]. 朱揚(yáng)勇, 熊赟. BioSeg: 一個(gè)生物序列數(shù)據(jù)模型. 計(jì)算機(jī)科學(xué)與探索. 2008,1: 77-96.
[23]. 朱揚(yáng)勇, 熊赟. DNA序列數(shù)據(jù)挖掘技術(shù). 軟件學(xué)報(bào). 2007, 18(11): 2766-2781.
[24]. 熊赟, 陳越, 朱揚(yáng)勇. ProFaM：一個(gè)蛋白質(zhì)序列家族挖掘算法. 計(jì)算機(jī)研究與發(fā)展. 2007, 44(7): 1160-1168.
[25]. Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu. Incremental Mining of Sequential Patterns using Prefix Tree. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’07). 2007: 433-440.
[26]. Yun Xiong, Yangyong Zhu. A Multi-Supports-Based Sequential Pattern Mining Algorithm. CIT 2005: 170-174
Chapters in Books:
[27]. Yun Xiong, Ming Chen, Yangyong Zhu. A Domain Driven Mining Algorithm on Gene Sequence Clustering. Chapter in Data Mining for Business Applications. L. B. Cao, Philip S. Yu, et al. (Eds.), 2008: 111-126. Springer. ISBN:9780387794198.

代表專(zhuān)著
[1]. 朱揚(yáng)勇, 熊赟. 《生物數(shù)據(jù)整合與挖掘》. 復(fù)旦大學(xué)出版社. 2009. ISBN 978-7-309-06614-2/Q.72.
[2]. 朱揚(yáng)勇, 熊赟. 《數(shù)據(jù)學(xué)》. 復(fù)旦大學(xué)出版社. 2009. ISBN 978-7-309-06956-3/T.350.