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导师介绍
姓名 沈华伟  性别 男 
联系方式 shenhuawei@ict.ac.cn  职称 研究员 
研究方向 网络数据挖掘、社会网络分析 
个人介绍
简历:

2017年10月 — 至今 :中国科学院计算技术研究所,研究员
2012年10月 — 2017年9月:中国科学院计算技术研究所,副研究员
2010年3月 — 2012年9月:中国科学院计算技术研究所,助理研究员
2015年10月— 2018年9月:中国科学院大学,岗位教授
2013年4月 — 2014年3月:Northeastern University,Research Scholar
2004年9月— 2010年1月:中国科学院计算技术研究所,博士生
1999年9月— 2003年7月:西安邮电学院,计算机系,本科生

研究方向:
网络数据挖掘、社会网络分析
社会任职:
获奖及荣誉:

2017年        入选中国科学院王宽诚率先人才计划“卢嘉锡国际团队”
2016年        中科院计算所“优秀科研人员”
2015年        中国科学院青年创新促进会优秀会员
2015年        北京市科学技术二等奖
2014年        中国中文信息学会钱伟长中文信息处理科学技术一等奖
2012年        国家科学技术进步奖二等奖
2011年        中国电子学会科学技术一等奖
2011年        中国计算机学会优秀博士论文提名奖
2011年        中国科学院优秀博士论文奖
2010年        中国科学院院长特别奖
2013年        UCAS-Springer优秀博士论文奖
2012年        中国科学院计算技术研究所 “学术百星”
2011年        入选首批中国科学院青年创新促进会
2014年        中科院计算所“优秀科研人员”
2010年        中科院计算所“优秀科研人员”

代表论著:

专著/译著:
[1] Hua-Wei Shen. Community structure of complex networks. Springer. ISBN: 978-3-642-31820-7.
[2] 沈华伟. 《链接》. 浙江人民出版社, 2013. ISBN: 978-7-213-05655-0
[3] 王彤彤, 沈华伟, 程学旗. 《可视化未来》 浙江人民出版社, 2015. ISBN: 978-7-213-06850-8

期刊文章:
[4] Hua-Wei Shen, Albert-László Barabási. Collective credit allocation in science. Proc. Natl. Acad. Sci. 111(34): 12325–12330, 2014. (SCI索引,发表当年SCI影响因子:9.737)
[5] Dashun Wang, Chaoming Song, Hua-Wei Shen, Albert-László Barabási. Response to Comment on “Quantifying long-term scientific impact”. Science, 345: 149, 2014. (SCI索引, 发表当年SCI影响因子:31.027)
[6] Huawei Shen, Xueqi Cheng*, Kai Cai, Mao-Bin Hu. Detect overlapping and hierarchical community structure in networks. Physica A, 388(8):1706-1712, 2009. (SCI、EI 索引,发表当年SCI影响因子:1.441)
[7] Hua-Wei Shen*, Xue-Qi Cheng, Jia-Feng Guo. Quantifying and identifying the overlapping community structure in networks. Journal of Statistical Mechanics, P07042, 2009. (SCI索引, 发表当年SCI影响因子:2.758)
[8] Hua-Wei Shen*, Xue-Qi Cheng, Bin-Xing Fang. Covariance, correlation matrix and the multi-scale community structure of networks. Physical Review E, 82(1):016114, 2010. (SCI、EI索引,发表当年SCI影响因子:2.40)
[9] Hua-Wei Shen*, Xue-Qi Cheng. Spectral methods for the detection of network community structure: a comparative analysis. Journal of Statistical Mechanics, P10020, 2010. (SCI 索引, 发表当年SCI影响因子:2.67)
[10] Hua-Wei Shen*, Xue-Qi Cheng, Jia-Feng Guo. Exploring the structural regularities in networks. Physical Review E, 84(5):056111, 2011. (SCI、EI索引,发表当年SCI影响因子:2.352)
[11] Hua-Wei Shen*, Xue-Qi Cheng, Yuan-Zhuo Wang, Yixin Chen. A dimensionality reduction framework for detection of multi-scale structure in heterogeneous networks. Journal of Computer Science and Technology, 27(2): 341-357, 2012. (SCI、EI索引,发表当年SCI 影响因子:0.656)
[12] Xiao-Qian Sun, Hua-Wei Shen*, Xue-Qi Cheng, Yuqing Zhang. Detecting anomalous traders using multi-slice network analysis. Physica A, 473:1-9, 2017.
[13] Hao Wang, Hua-Wei Shen*, Xue-Qi Cheng. Scientific credit diffusion: Researcher level or paper level? Scientometrics, 2016. (SCI索引,发表当年SCI影响因子:2.084)
[14] Xiao-Qian Sun, Hua-Wei Shen*, Xue-Qi Cheng, Yuqing Zhang. Market confidence predicts stock price: beyond supply and demand. PLoS ONE, 2016. (SCI索引,发表当年SCI影响因子:3.057)
[15] Xue-Qi Cheng*, Hua-Wei Shen. Uncovering the community structure associated with the diffusion dynamics on networks. Journal of Statistical Mechanics, P04024, 2010. (SCI索引,发表当年SCI影响因子:2.67)
[16] Bing-Jie Sun, Hua-Wei Shen*, Xue-Qi Cheng. Detecting overlapping communities in massive networks. EPL 108(6):68001, 2014. (SCI索引,发表当年SCI影响因子:2.095)
[17] Xiao-Qian Sun, Hua-Wei Shen*, Xue-Qi Cheng. Trading network predicts stock price. Scientific Reports, 4: 3711, 2014. (SCI 索引,发表当年SCI影响因子:2.927)
[18] Junming Huang, Chao Li, Wenqiang Wang, Hua-Wei Shen*, Guojie Li, Xue-Qi Cheng. Temporal scaling in information propagation. Scientific Reports, 4: 5334, 2014. (SCI索引,发表当年SCI影响因子:2.927)
[19] Peng Bao, Hua-Wei Shen*, Wei Chen, Xueqi Cheng. Cumulative effect in information diffusion: empirical study on a microblogging network. PLoS ONE, 8(10): e76027, 2013. (SCI索引,发表当年SCI影响因子:3.730)
[20] Xiao-Qian Sun, Hua-Wei Shen, Xue-Qi Cheng*, Zhao-Yang Wang. Degree-strength correlation reveals anomalous trading behavior. PLoS ONE, 7(10): e45598, 2012. (SCI索引,发表当年SCI影响因子:4.092)
[21] Fu-Xin Ren*, Hua-Wei Shen, Xue-Qi Cheng. Modeling the clustering in citation networks. Physica A, 391(12): 3533-3539, 2012. (SCI、EI索引,发表当年SCI影响因子:1.522)
[22] Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen. Relative influence maximization in competitive social networks. Science China - Information Sciences, 60(10): 108101, 2017. (SCI索引,发表当年SCI影响因子:1.628)
[23] Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen. Modeling the reemergence of information diffusion in social network. Physica A, 2017. (SCI索引,发表当年SCI影响因子:2.243)
[24] Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo. Fast density clustering strategies based on the k-means algorithm. Pattern Recognition, 71:375-386, 2017. (SCI索引,发表当年SCI影响因子:4.582)
[25] Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen. An optimization model for clustering categorical data streams with drifting concepts. IEEE Transactions on Knowledge and Data Engineering, 28(11): 2871-2883, 2016. (SCI索引,发表当年SCI影响因子:3.438)
[26] Wei Chen*, Jan Nagler, Xueqi Cheng, Xiaolong Jin, Huawei Shen, Zhiming Zheng, Raissa M. D’Souza. Phase transitions in supercritical explosive percolation. Physical Review E, 87: 052130, 2013. (SCI、EI索引,发表当年SCI影响因子:2.313)
[27] Li Wang*, Jiang Wang, Hua-Wei Shen, Xue-Qi Cheng. An improvement of the fast uncovering community algorithm. Chinese Physics B, 22(10): 108903, 2013. (SCI索引,发表当年SCI影响因子:1.148)
[28] Xueke Xu*, Xueqi Cheng, Songbo Tan, Yue Liu, Huawei Shen. Aspect-level opinion mining of online customer reviews. China Communications, 10(3): 25-41, 2013. (SCI索引,发表当年SCI影响因子:0.464)
[29] Xiao-Qian Sun*, Xue-Qi Cheng, Hua-Wei Shen, Zhao-Yang Wang. Distinguishing manipulated stocks via trading network analysis. Physica A, 390(20): 3427-3434, 2011. (SCI、EI索引,发表当年SCI影响因子:1.373)
[30] Xue-Qi Cheng*, Fu-Xin Ren, Hua-Wei Shen, Zi-Ke Zhang, Tao Zhou. Bridgeness: A local index on edge significance in maintaining global connectivity. Journal of Statistical Mechanics, P10011, 2010. (SCI索引,发表当年SCI影响因子:2.67)
[31] Xiaoqian Sun, Xueqi Cheng*, Huawei Shen, Zhaoyang Wang. Statistical properties of trading activity in Chinese stock market. Physics Procedia, 3(5): 1699–1706, 2010.
[32] 沈华伟*, 靳小龙, 任福新, 程学旗. 面向社会媒体的舆情分析. 中国计算机学会通讯, 8(4): 32-36, 2012.
[33] 沈华伟*, 程学旗, 陈海强, 刘悦. 基于信息瓶颈的社区发现. 计算机学报, 31(4):677-686, 2008.
[34] 程学旗*, 沈华伟. 复杂网络的社区结构. 复杂性系统与复杂性科学, 8(1): 57-70, 2011.
[35] 程学旗*, 沈华伟. 社会信息网络中的社区分析. 中国计算机学会通讯, 7(12): 12-19, 2011.
[36] 程苏琦, 沈华伟*, 张国清, 程学旗. 符号网络研究综述. 软件学报, 25(1): 1-15, 2014.
[37] 满彤,沈华伟,黄俊铭,程学旗. SCMF: 一种融合多源数据的软约束矩阵分解推荐算法. 中文信息学报, 31(4): 174-183, 2017.
[38] 王永庆,沈华伟*,程学旗. 预测信息传播中的转发选择. 中文信息学报. 30(5): 57-64, 2016.
[39] 黄俊铭, 沈华伟, 程学旗. 利用社交网络的影响力骨架探索信息传播. 中文信息学报, 30(2): 74-82, 2016.
[40] 鲍鹏, 沈华伟, 程学旗. 信息传播中的用户转发选择预测. 计算机科学与探索, 10(11): 1524-1531, 2016.
[41] 陈友, 沈华伟, 李洋, 程学旗. 一种高效的面向轻量级入侵检测系统的特征选择算法. 计算机学报, 30(8):1398-1408, 2007.
[42] 王莉*, 程苏琦,沈华伟,程学旗. 在线社会网络共演化的结构推断与预测. 计算机研究与发展, 50(12): 2492-2503, 2013.
[43] 程学旗, 孙冰杰, 沈华伟, 余智华. 多样性图排序的研究现状及展望. 中国科学院院刊, 30(2): 248-256, 2015.
[44] 吴琼, 刘悦, 沈华伟, 张瑾, 许洪波, 程学旗. 面向跨领域情感分类的统一框架. 计算机研究与发展, 50(8): 1683-1689, 2013.
[45] 刘雅辉, 靳小龙, 沈华伟, 鲍鹏, 程学旗. 社交媒体中的谣言识别研究综述. 计算机学报. 2017.
[46] 廖祥文, 郑候东,刘盛华,沈华伟,程学旗,陈国龙. 基于用户行为的情感影响力和易感性学习. 计算机学报, 40(4): 955-969, 2017
[47] 刘玮, 贺敏, 王丽宏, 刘悦, 沈华伟, 程学旗. 基于用户行为特征的微博转发预测研究. 计算机学报, 39(10): 1992-2006, 2016.
[48] 李超, 周涛, 黄俊铭, 程学旗, 沈华伟. 基于用户相似性传递的跨平台交叉推荐算法. 中文信息学报, 30(2): 90-98, 2016.
[49] 王元卓,于建业,邱雯,沈华伟,程学旗,林闯. 网络群体行为的演化博弈模型与分析方法. 计算机学报, 38(2):282-300, 2015.

会议文章:
[50] Huawei Shen*, Dashun Wang, Chaoming Song, Albert-László Barabási. Modeling and predicting popularity dynamics via reinforced Poisson process. Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 2014), pp. 291-297, July 2014, Québec City, Québec, Canada. (CCF A类会议)
[51] Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng. Cross-domain recommendation: an embedding and mapping approach. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 2464-2470, August 19-25, 2017, Melbourne, Australia. (CCF A类会议)
[52] Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng. Cascade dynamics modeling with attention-based recurrent neural network. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 2985-2991, August 19-25, 2017, Melbourne, Australia. (CCF A类会议)
[53] Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao. Learning concise representations of users' influences through online behaviors. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 2351-2357, August 19-25, 2017, Melbourne, Australia. (CCF A类会议)
[54] Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng. Predicting the Popularity of Online Content with Group-specific Models. Proceedings of the 26th Conference Companion on International World Wide Web (WWW 2017), pp. 765-766, April 3-7, 2017, Perth, Australia. (CCF A类会议)
[55] Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng. Marked Temporal Dynamics Modeling based on Recurrent Neural Network. Proceedings of the 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp. 786-798, May 23-26, 2017, Jeju, South Korea.
[56] Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng. Do rumors diffuse differently from non-rumors? A systematically empirical analysis in Sina Weibo for rumor identification. Proceedings of the 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp. 407-420, May 23-26, 2017, Jeju, South Korea.
[57] Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng. Self-learning and embedding based entity alignment. Proceedings of the 2017 IEEE International Conference on Big Knowledge (ICBK 2017), August 9-10, 2017, Hefei, China.
[58] Wei Liu, Huawei Shen, Wentao Ouyang, Ge Fu, Li Zha, Xueqi Cheng. Learning Cost-Effective Social Embedding for Cascade Prediction. Proceedings of the 5th National Conference on Social Media Processing (SMP 2016), pp. 1-13, 2016. (Best Paper Award)
[59] Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng. DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2017), Singapore. (CCF B类会议)
[60] Bingjie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng. A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2017), Singapore. (CCF B类会议)
[61] Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng. Truth Discovery by Claim and Source Embedding. Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2017), Singapore. (CCF B类会议)
[62] Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng. Predict anchor links across social networks via an embedding approach. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pp. 1823-1829, July 2016, New York City, New York, USA. (CCF A类会议)
[63] Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng. Modeling and predicting retweeting dynamics via a mixture process. Proceedings of the 25th International Conference on World Wide Web (WWW 2016), pp. 33-34, April 2016, Montreal, Canada. (CCF A类会议)
[64] Yongqing Wang, Huawei Shen*, Shenghua Liu, Xueqi Cheng. Learning user-specific latent influence and susceptibility from information cascades. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 477-483, January 2015, Austin, Texas, USA. (CCF A类会议)
[65] Suqi Cheng, Huawei Shen*, Junming Huang, Wei Chen, Xueqi Cheng. IMRank: influence maximization via finding self-consistent ranking. Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014), pp. 475-484, July 2014, Gold Coast, Australia. (CCF A类会议)
[66] Chao He*, Xueqi Cheng, Jiafeng Guo, Huawei Shen. Multi-select faceted navigation based on minimum description length principle. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 1690-1696, July 2011, Barcelona, Spain. (CCF A类会议)
[67] Tong Man, Huawei Shen*, Junming Huang, Xueqi Cheng. Context-adaptive matrix factorization for multi-context recommendation. Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), October 2015, Melbourne, Australia. (CCF B类会议)
[68] Peng Bao, Hua-Wei Shen*, Xiaolong Jin, Xue-Qi Cheng. Modeling and predicting popularity dynamics of Microblogs using self-excited Hawkes processes. Proceedings of the 24th International Conference on World Wide Web (WWW 2015), pp. 9-10, May 2015, Florence, Italy. (CCF B类会议)
[69] Suqi Cheng, Huawei Shen*, Junming Huang, Guoqing Zhang, Xueqi Cheng. StaticGreedy: solving the scalability-accuracy dilemma in influence maximization, Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), pp. 509-518, October 2013, San Francisco, California. (CCF B类会议)
[70] Shenghua Liu*, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen. Adaptive Co-Training SVM for Sentiment Classification on Tweets. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), pp. 2079-2088, October 2013, San Francisco, California. (CCF B类会议)
[71] Peng Bao, Hua-Wei Shen*, Junming Huang, Xue-Qi Cheng. Popularity prediction in microblogging network: A case study on Sina weibo. Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), pp. 177-178, May 2013, Rio de Janeiro, Brazil. (CCF B类会议)
[72] Xiaofei zhu*, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen. A unified framework for recommending diverse and relevant queries. Proceedings of the 20th International Conference on World Wide Web (WWW 2011), pp. 37-46, March 2011, Hyderabad, India. (CCF B类会议)
[73] Jiafeng Guo*, Xueqi Cheng, Gu Xu, Hua-Wei Shen. A structured approach to query recommendation with social annotation data. Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), pp. 619-628, October 2010, Toronto, Canada. (CCF B类会议)
[74] Junming Huang*, Xue-Qi Cheng, Jiafeng Guo, Hua-Wei Shen, Kun Yang. Social recommendation with interpersonal influence. Proceedings of the Nineteenth European Conference on Artificial Intelligence (ECAI 2010), pp. 601-606, August 2010, Lisbon, Portugal. (CCF B类会议)
[75] Junming Huang*, Xue-Qi Cheng, Hua-Wei Shen, Tao Zhou, Xiaolong Jin. Exploring social influence via posterior effect of word-of-mouth recommendations. Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM 2012), pp. 573-582, February 2012, Seattle, Washington. (CCF C类会议)
[76] Bing-Jie Sun, Hua-Wei Shen*, Xue-Qi Cheng. Improve network clustering via diversified ranking. Proceedings of the 5th International Conference on Computational Social Networks (CSoNet 2015), pp. 104-114, August 2015, Beijing, China.
[77] Tieying Zhang*, Zhenhua Lv, Huawei Shen, Xueqi Cheng. A white-box empirical study of P2P-VoD systems: several unconventional new findings. Proceedings of the 20th IEEE International Conference on Computer Communication Networks (ICCCN 2011), pp.1-6, July 2011, Maui, Hawaii.
[78] Tong Man*, Hua-Wei Shen, Xue-Qi Cheng. The untold story behind the recommendation in micro-blogging network. In Proceedings of the Second International Conference on Social Computation and its Applications (SCA 2012), pp. 760-764, November 2012, Xiangtan, China.
[79] Jianye Yu*, Yuanzhuo Wang, Jingyuan Li, Huawei Shen, Xueqi Cheng. Analysis of competitive information dissemination in social network based on evolutionary game model. In Proceedings of the Second International Conference on Social Computation and its Applications (SCA 2012), pp. 748-753, November 2012, Xiangtan, China.
[80] Peng Cao*, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng. Finding topic-related tweets using conversational thread. Intelligent Information Processing (IIP 2012), pp. 258–267, October 2012, Guilin, China.
[81] Jiafeng Guo*, Xueqi Cheng, Huawei Shen, Shuo Bai. Exploiting collaboratively annotated data for automatic annotation. Proceedings of ACM WWW 2009 Workshop on Content Analysis in Web 2.0, April 2009, Madrid, Spain.
[82] Haijun Zhai*, Jiafeng Guo, Qiong Wu, Xueqi Cheng, Huawei Shen, Jin Zhang. Query classification based on regularized correlated topic model. Proceedings of the International Conference on Web Intelligence (WI 2009), pp. 552-555, September 2009, Milan, Italy.
[83] Huawei Shen, Guoyao Chen, Haiqiang Chen, Yue Liu, Xueqi Cheng. Research on enterprise track of TREC 2007. Proceedings of the Sixteenth Text REtrieval Conference (TREC 2007), 2007.
[84] Haiqiang Chen*, Huawei Shen, Jin Xiong, Songbo Tan, Xueqi Cheng. Social network structure behind the mailing lists: ICT-IIIS at TREC 2006 expert finding track, Proceedings of the 15th Text REtrieval Conference (TREC 2006), 2006.

承担科研项目情况:

[1] 中国科学院优秀青年创新促进会会员,中国科学院人才项目,2016.1-2018.12,经费170万元
[2] 开放环境下的群智决策机制与验证系统,项目负责人,国防科技创新项目,2017.3-2018.3,经费280万元
[3] 社交网络的结构演化,子课题负责人,科技部863项目,2014.1-2016.12,经费75.6万元
[4] 在线社会关系网络中消息流行度的建模与预测研究,项目负责人,国家自然科学基金面上项目,2015.1-2018.12,经费80万元
[5] 面向在线社会网络的异质关系多尺度社区分析研究,项目负责人,国家自然科学青年基金项目,2013.1-2015.12,经费24万元
[6] ×××××算子工具集构建,项目负责人,242项目,2014.9-2015.8,经费200万元
[7] 面向社会信息网络的社区分析研究,项目成员,国家自然科学基金面上项目,2009.1-2011.12,经费30万元
[8] 在线社会关系网络的分析与挖掘,项目骨干,国家自然科学基金重点项目,2013.1-2017.12,经费280万元
[9] 大数据结构与关系的度量与简约计算,子课题负责人,国家自然科学基金重点项目,2015.1-2019.12,经费360万元
[10] 大规模异质关系网络的多尺度社区分析研究,项目负责人,北京市自然科学基金面上项目,2012.1-2014.12,经费11万元
[11] 大规模交互数据中异常行为检测,项目负责人,开放课题,2012.7-2013.12,经费5万元
[12] 网络大数据计算的基础理论及其应用研究,项目成员,科技部973项目,2014.1-2018.12
[13] 社交网络分析和网络信息传播基础研究,项目成员,科技部973项目,2013.1-2017.12

学科类别:
计算机应用技术
所属部门:
网络数据科学与技术重点实验室
专家类别:
正高
杰青入选时间:
百人入选时间:
其他备注:
硕导计算机软件与理论
其他备注2:
其他备注3:
 
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