基本信息
电子邮件:dajun.zeng@ia.ac.cn
联系电话:86-10-62611816
通信地址: 北京市海淀区中关村东路95号
邮政编码: 100190

研究领域

(1)情报与安全信息学
(2)传染病信息学与应急管理
(3)经济与社会计算

教育背景

   
学历
1994-1998 美国卡内基•梅隆大学,获工业管理博士学位
1992-1994 美国卡内基•梅隆大学,获工业管理硕士学位 
1990-1992 中国科学技术大学研究生院,硕士生课程
1985-1990 中国科学技术大学少年班、系统科学与经济管理系、计算机系,获学士学位


学位
 博士

工作经历

   
工作简历
2007-05--今 中国科学院自动化所 研究员,博士生导师
2006-06--2007-04 中国科学院自动化所 客座研究员
2005-08--2007-01 亚利桑那大学管理学院 副教授(终身教职)
1999-01--2005-07 亚利桑那大学管理学院 助理教授

专利与奖励

   
奖励信息
(1) 2012年军队科学技术进步奖,二等奖,部委级,2012
(2) 2012年北京市科学技术奖,三等奖,部委级,2012
(3) 2011年杨家墀科技奖,二等奖,省级,2011
(4) 2011年中华预防医学会科学技术奖,三等奖,部委级,2011
(5) 2011年军队科学技术进步奖,二等奖,部委级,2011
专利成果
(1) 传染病动态预警分析软件 EpiDEWA(V1.0),发明,2011,第1作者,专利号:2011SR075933
(2) 传染病动态传播分析软件 EpiDC(V1.0),发明,2011,第1作者,专利号:2011SR076286
(3) 传染病干预措施评估软件 EpiIME (V1.0),发明,2011,第1作者,专利号:2011SR076097
(4) 公共健康在线感知系统 PHOAWS(V1.0),发明,2012,第1作者,专利号:2012SR058514

出版信息

   
发表论文
[1] Xiao, Xinglin, Mao, Wenji, Sun, Ying, Zeng, Dajun. A cognitive emotion model enhanced sequential method for social emotion cause identification. INFORMATION PROCESSING & MANAGEMENT[J]. 2023, 60(3): http://dx.doi.org/10.1016/j.ipm.2023.103305.
[2] Zhang, Xingwei, Tian, Hu, Zheng, Xiaolong, Zeng, Dajun. Robust Monitor for Industrial IoT Condition Prediction. IEEE INTERNET OF THINGS JOURNAL[J]. 2023, 10(10): 8618-8629, http://dx.doi.org/10.1109/JIOT.2022.3222439.
[3] Liu, Lin, Cao, Zhidong, Zhao, Pengfei, Hu, Paul JenHwa, Zeng, Dajun, Luo, Yin. A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2023, 10(1): 246-254, http://dx.doi.org/10.1109/TCSS.2022.3145404.
[4] Zhang, Xingwei, Zheng, Xiaolong, Mao, Wenji, Zeng, Dajun. Boosting deep cross-modal retrieval hashing with adversarially robust training. APPLIED INTELLIGENCE[J]. 2023, 53(20): 23698-23710, http://dx.doi.org/10.1007/s10489-023-04715-0.
[5] 何赛克, 张培杰, 张玮光, 於世为, 曾大军. 大模型时代下的决策范式转变. 中国地质大学学报:社会科学版. 2023, 23(4): 82-91, http://lib.cqvip.com/Qikan/Article/Detail?id=7110030278.
[6] Tian, Hu, Zhang, Xingwei, Zheng, Xiaolong, Zeng, Dajun. Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, http://dx.doi.org/10.1109/TSMC.2023.3284840.
[7] Zhang, Xingwei, Zheng, Xiaolong, Liu, Bin, Wang, Xiao, Mao, Wenji, Zeng, Dajun, Wang, FeiYue. Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2023, 10(5): 2847-2859, http://dx.doi.org/10.1109/TCSS.2022.3199819.
[8] 郑晓龙, 白松冉, 曾大军. 面向复杂决策场景的认知图谱构建与分析. 管理世界[J]. 2023, [9] Lin Liu, Duo Xu, Pengfei Zhao, Zeng Dajun, Paul JenHwa Hu, Qingpeng Zhang, Yin Luo, Zhidong Cao. A cross-lingual transfer learning method for online COVID-19-related hate speech detection. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2023, 234: http://dx.doi.org/10.1016/j.eswa.2023.121031.
[10] Liang, Yunji, Liu, Lei, Ji, Yapeng, Huangfu, Luwen, Zeng, Dajun. Identifying emotional causes of mental disorders from social media for effective intervention. INFORMATION PROCESSING & MANAGEMENT[J]. 2023, 60(4): http://dx.doi.org/10.1016/j.ipm.2023.103407.
[11] 柴洪峰, 王帅, 涂晓军, 孙权, 吴杰, 马小峰, 曾大军, 郑晓龙, 何赛克, 才华, 李智鑫, 陈璐瑀. 我国金融监管科技发展战略研究. 工程管理科技前沿. 2023, 42(2): 1-7, http://lib.cqvip.com/Qikan/Article/Detail?id=7109666100.
[12] Minjie Yuan, Qiudan Li, Xue Mao, Daniel Dajun Zeng. Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method. WWW2023null. 2023, [13] Wang, Zikang, Li, Linjing, Li, Jinlin, Zhao, Pengfei, Zeng, Dajun. CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs. IEEE INTELLIGENT SYSTEMS[J]. 2023, 38(5): 56-64, http://dx.doi.org/10.1109/MIS.2023.3291567.
[14] 何赛克, 张培杰, 张玮光, 於世为, 曾大军. 大型模型时代下的决策范式转变. 中国地质大学学报(社会科学版)[J]. 2023, 23(4): [15] Yao, Yao, Zhou, Hanchu, Cao, Zhidong, Zeng, Dajun, Zhang, Qingpeng. Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION[J]. 2023, http://dx.doi.org/10.1093/jamia/ocad116.
[16] Xiao, Xinglin, Mao, Wenji, Sun, Ying, Zeng, Dajun. A cognitive emotion model enhanced sequential method for social emotion cause identification. INFORMATION PROCESSING & MANAGEMENT[J]. 2023, 60(3): http://dx.doi.org/10.1016/j.ipm.2023.103305.
[17] Zhang, Xingwei, Tian, Hu, Zheng, Xiaolong, Zeng, Dajun. Robust Monitor for Industrial IoT Condition Prediction. IEEE INTERNET OF THINGS JOURNAL[J]. 2023, 10(10): 8618-8629, http://dx.doi.org/10.1109/JIOT.2022.3222439.
[18] Liu, Lin, Cao, Zhidong, Zhao, Pengfei, Hu, Paul JenHwa, Zeng, Dajun, Luo, Yin. A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2023, 10(1): 246-254, http://dx.doi.org/10.1109/TCSS.2022.3145404.
[19] Zhang, Xingwei, Zheng, Xiaolong, Mao, Wenji, Zeng, Dajun. Boosting deep cross-modal retrieval hashing with adversarially robust training. APPLIED INTELLIGENCE[J]. 2023, 53(20): 23698-23710, http://dx.doi.org/10.1007/s10489-023-04715-0.
[20] 何赛克, 张培杰, 张玮光, 於世为, 曾大军. 大模型时代下的决策范式转变. 中国地质大学学报:社会科学版. 2023, 23(4): 82-91, http://lib.cqvip.com/Qikan/Article/Detail?id=7110030278.
[21] Tian, Hu, Zhang, Xingwei, Zheng, Xiaolong, Zeng, Dajun. Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, http://dx.doi.org/10.1109/TSMC.2023.3284840.
[22] Zhang, Xingwei, Zheng, Xiaolong, Liu, Bin, Wang, Xiao, Mao, Wenji, Zeng, Dajun, Wang, FeiYue. Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2023, 10(5): 2847-2859, http://dx.doi.org/10.1109/TCSS.2022.3199819.
[23] 郑晓龙, 白松冉, 曾大军. 面向复杂决策场景的认知图谱构建与分析. 管理世界[J]. 2023, [24] Lin Liu, Duo Xu, Pengfei Zhao, Zeng Dajun, Paul JenHwa Hu, Qingpeng Zhang, Yin Luo, Zhidong Cao. A cross-lingual transfer learning method for online COVID-19-related hate speech detection. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2023, 234: http://dx.doi.org/10.1016/j.eswa.2023.121031.
[25] Liang, Yunji, Liu, Lei, Ji, Yapeng, Huangfu, Luwen, Zeng, Dajun. Identifying emotional causes of mental disorders from social media for effective intervention. INFORMATION PROCESSING & MANAGEMENT[J]. 2023, 60(4): http://dx.doi.org/10.1016/j.ipm.2023.103407.
[26] 柴洪峰, 王帅, 涂晓军, 孙权, 吴杰, 马小峰, 曾大军, 郑晓龙, 何赛克, 才华, 李智鑫, 陈璐瑀. 我国金融监管科技发展战略研究. 工程管理科技前沿. 2023, 42(2): 1-7, http://lib.cqvip.com/Qikan/Article/Detail?id=7109666100.
[27] Minjie Yuan, Qiudan Li, Xue Mao, Daniel Dajun Zeng. Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method. WWW2023null. 2023, [28] Wang, Zikang, Li, Linjing, Li, Jinlin, Zhao, Pengfei, Zeng, Dajun. CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs. IEEE INTELLIGENT SYSTEMS[J]. 2023, 38(5): 56-64, http://dx.doi.org/10.1109/MIS.2023.3291567.
[29] 何赛克, 张培杰, 张玮光, 於世为, 曾大军. 大型模型时代下的决策范式转变. 中国地质大学学报(社会科学版)[J]. 2023, 23(4): [30] Yao, Yao, Zhou, Hanchu, Cao, Zhidong, Zeng, Dajun, Zhang, Qingpeng. Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION[J]. 2023, http://dx.doi.org/10.1093/jamia/ocad116.
[31] Zeng, Zhixiong, Xu, Nan, Mao, Wenji, Zeng, Daniel. An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval. IEEE INTELLIGENT SYSTEMS[J]. 2022, 37(3): 45-53, [32] 田虎, 郑晓龙. Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions. INFORMS JOURNAL ON COMPUTING[J]. 2022, [33] Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse. Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. NPJ DIGITAL MEDICINE[J]. 2022, 5(1): 1-1, http://dx.doi.org/10.1038/s41746-022-00586-w.
[34] Zhang, Zhu, Wei, Xuan, Zheng, Xiaolong, Li, Qiudan, Zeng, Daniel Dajun. Detecting Product Adoption Intentions via Multiview Deep Learning. INFORMS JOURNAL ON COMPUTING[J]. 2022, 34(1): 541-556, http://dx.doi.org/10.1287/ijoc.2021.1083.
[35] Zhao, Pengfei, Cao, Zhidong, Zeng, Dajun, Gu, Chenghong, Wang, Zhaoyu, Xiang, Yue, Qadrdan, Meysam, Chen, Xinlei, Yan, Xiaohe, Li, Shuangqi. Cyber-Resilient Multi-Energy Management for Complex Systems. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2022, 18(3): 2144-2159, http://dx.doi.org/10.1109/TII.2021.3097760.
[36] Ye, Yang, Zhang, Qingpeng, Cao, Zhidong, Chen, Frank Youhua, Yan, Houmin, Stanley, H Eugene, Zeng, Daniel Dajun. Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19. ADVANCED THEORY AND SIMULATIONS[J]. 2022, 5(4): http://dx.doi.org/10.1002/adts.202100352.
[37] Wang, Zikang, Li, Linjing, Zeng, Daniel Dajun. Hierarchical Multihop Reasoning on Knowledge Graphs. IEEE INTELLIGENT SYSTEMS[J]. 2022, 37(1): 71-78, http://dx.doi.org/10.1109/MIS.2021.3095055.
[38] Li, Qiudan, Liu, Hejing, Yao, Riheng, Xu, David Jingjun, Zeng, Daniel D. Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction. IEEE INTELLIGENT SYSTEMS[J]. 2022, 37(1): 99-107, [39] Luo, Tianyi, Cao, Zhidong, Zeng, Daniel, Zhang, Qingpeng. A Dissemination Model Based on Psychological Theories in Complex Social Networks. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2022, 14(2): 519-531, http://dx.doi.org/10.1109/TCDS.2021.3052824.
[40] 杨晓光, 高自友, 盛昭瀚, 黄丽华, 曾大军, 陈晓松, 杨克巍, 黄伟, 丁荣余, 郑新华, 姚轶崭. 复杂系统管理是中国特色管理学体系的重要组成部分. 管理世界. 2022, 38(10): 1-24, http://lib.cqvip.com/Qikan/Article/Detail?id=7108267821.
[41] Wei, Xuan, Zhang, Zhu, Zhang, Mingyue, Chen, Weiyun, Zeng, Daniel Dajun. COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA. MIS QUARTERLY[J]. 2022, 46(2): 977-1008, http://dx.doi.org/10.25300/MISQ/2022/16526.
[42] Liu, Lin, Cao, Zhidong, Zhao, Pengfei, Hu, Paul JenHwa, Zeng, Daniel Dajun, Luo, Yin. A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2022, http://dx.doi.org/10.1109/TCSS.2022.3145404.
[43] Zeng, Zhixiong, Xu, Nan, Mao, Wenji, Zeng, Daniel. An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval. IEEE INTELLIGENT SYSTEMS[J]. 2022, 37(3): 45-53, [44] Wang, Shuai, Mao, Wenji, Wei, Penghui, Zeng, Daniel D. Knowledge structure driven prototype learning and verification for fact checking. KNOWLEDGE-BASED SYSTEMS[J]. 2022, 238: http://dx.doi.org/10.1016/j.knosys.2021.107910.
[45] 田虎, 郑晓龙. Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions. INFORMS JOURNAL ON COMPUTING[J]. 2022, [46] Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse. Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. NPJ DIGITAL MEDICINE[J]. 2022, 5(1): 1-1, http://dx.doi.org/10.1038/s41746-022-00586-w.
[47] Xie, Jiaheng, Liu, Xiao, Zeng, Daniel Dajun, Fang, Xiao. UNDERSTANDING MEDICATION NONADHERENCE FROM SOCIAL MEDIA: A SENTIMENT-ENRICHED DEEP LEARNING APPROACH. MIS QUARTERLY[J]. 2022, 46(1): 341-372, http://dx.doi.org/10.25300/MISQ/2022/15336.
[48] Zhang, Zhu, Wei, Xuan, Zheng, Xiaolong, Li, Qiudan, Zeng, Daniel Dajun. Detecting Product Adoption Intentions via Multiview Deep Learning. INFORMS JOURNAL ON COMPUTING[J]. 2022, 34(1): 541-556, http://dx.doi.org/10.1287/ijoc.2021.1083.
[49] Yang, Yanwu, Zhao, Kang, Zeng, Daniel Dajun, Jansen, Bernard Jim. Time-varying effects of search engine advertising on sales-An empirical investigation in E-commerce. DECISION SUPPORT SYSTEMS[J]. 2022, 163: http://dx.doi.org/10.1016/j.dss.2022.113843.
[50] Zhao, Pengfei, Cao, Zhidong, Zeng, Dajun, Gu, Chenghong, Wang, Zhaoyu, Xiang, Yue, Qadrdan, Meysam, Chen, Xinlei, Yan, Xiaohe, Li, Shuangqi. Cyber-Resilient Multi-Energy Management for Complex Systems. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2022, 18(3): 2144-2159, http://dx.doi.org/10.1109/TII.2021.3097760.
[51] Ye, Yang, Zhang, Qingpeng, Cao, Zhidong, Chen, Frank Youhua, Yan, Houmin, Stanley, H Eugene, Zeng, Daniel Dajun. Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19. ADVANCED THEORY AND SIMULATIONS[J]. 2022, 5(4): http://dx.doi.org/10.1002/adts.202100352.
[52] Ye, Yang, Zhang, Qingpeng, Wei, Xuan, Cao, Zhidong, Yuan, HsiangYu, Zeng, Daniel Dajun. Equitable access to COVID-19 vaccines makes a life-saving difference to all countries. NATURE HUMAN BEHAVIOUR[J]. 2022, 6(2): 207-216, http://dx.doi.org/10.1038/s41562-022-01289-8.
[53] Wang, Zikang, Li, Linjing, Zeng, Daniel Dajun. Hierarchical Multihop Reasoning on Knowledge Graphs. IEEE INTELLIGENT SYSTEMS[J]. 2022, 37(1): 71-78, http://dx.doi.org/10.1109/MIS.2021.3095055.
[54] Ahmad, Faizan, Abbasi, Ahmed, Kitchens, Brent, Adjeroh, Donald, Zeng, Daniel. Deep Learning for Adverse Event Detection From Web Search. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2022, 34(6): 2681-2695, http://dx.doi.org/10.1109/TKDE.2020.3017786.
[55] Li, Qiudan, Liu, Hejing, Yao, Riheng, Xu, David Jingjun, Zeng, Daniel D. Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction. IEEE INTELLIGENT SYSTEMS[J]. 2022, 37(1): 99-107, [56] Luo, Tianyi, Cao, Zhidong, Zeng, Daniel, Zhang, Qingpeng. A Dissemination Model Based on Psychological Theories in Complex Social Networks. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2022, 14(2): 519-531, http://dx.doi.org/10.1109/TCDS.2021.3052824.
[57] Huang, Sheng, Lin, Jingkai, Huangfu, Luwen, Xing, Yun, Hu, Junlin, Zeng, Daniel Dajun. Adaptively Weighted k-Tuple Metric Network for Kinship Verification. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, http://dx.doi.org/10.1109/TCYB.2022.3163707.
[58] 杨晓光, 高自友, 盛昭瀚, 黄丽华, 曾大军, 陈晓松, 杨克巍, 黄伟, 丁荣余, 郑新华, 姚轶崭. 复杂系统管理是中国特色管理学体系的重要组成部分. 管理世界. 2022, 38(10): 1-24, http://lib.cqvip.com/Qikan/Article/Detail?id=7108267821.
[59] Wei, Xuan, Zhang, Zhu, Zhang, Mingyue, Chen, Weiyun, Zeng, Daniel Dajun. COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA. MIS QUARTERLY[J]. 2022, 46(2): 977-1008, http://dx.doi.org/10.25300/MISQ/2022/16526.
[60] Zhang, Qingpeng, Gao, Jianxi, Wu, Joseph T, Cao, Zhidong, Zeng, Daniel Dajun. Data science approaches to confronting the COVID-19 pandemic: a narrative review. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCESnull. 2022, 380(2214): http://dx.doi.org/10.1098/rsta.2021.0127.
[61] Liu, Lin, Cao, Zhidong, Zhao, Pengfei, Hu, Paul JenHwa, Zeng, Daniel Dajun, Luo, Yin. A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2022, http://dx.doi.org/10.1109/TCSS.2022.3145404.
[62] Liang, Yunji, Wang, Qiushi, Xiong, Kang, Zheng, Xiaolong, Yu, Zhiwen, Zeng, Daniel. Robust Detection of Malicious URLs With Self-Paced Wide & Deep Learning. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING[J]. 2022, 19(2): 717-730, http://dx.doi.org/10.1109/TDSC.2021.3121388.
[63] Wang, Shuai, Mao, Wenji, Wei, Penghui, Zeng, Daniel D. Knowledge structure driven prototype learning and verification for fact checking. KNOWLEDGE-BASED SYSTEMS[J]. 2022, 238: http://dx.doi.org/10.1016/j.knosys.2021.107910.
[64] Xie, Jiaheng, Liu, Xiao, Zeng, Daniel Dajun, Fang, Xiao. UNDERSTANDING MEDICATION NONADHERENCE FROM SOCIAL MEDIA: A SENTIMENT-ENRICHED DEEP LEARNING APPROACH. MIS QUARTERLY[J]. 2022, 46(1): 341-372, http://dx.doi.org/10.25300/MISQ/2022/15336.
[65] Luo, Tianyi, Cao, Zhidong, Wang, Yuejiao, Zeng, Daniel, Zhang, Qingpeng. Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2022, 19(2): 576-585, http://dx.doi.org/10.1109/TASE.2021.3106782.
[66] Yang, Yanwu, Zhao, Kang, Zeng, Daniel Dajun, Jansen, Bernard Jim. Time-varying effects of search engine advertising on sales-An empirical investigation in E-commerce. DECISION SUPPORT SYSTEMS[J]. 2022, 163: http://dx.doi.org/10.1016/j.dss.2022.113843.
[67] Luwen Huangfu, Yiwen Mo, Peijie Zhang, Daniel Dajun Zeng, 何赛克. COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling. Journal of Medical Internet Research. Journal of Medical Internet Research[J]. 2022, 24(2): [68] Ye, Yang, Zhang, Qingpeng, Wei, Xuan, Cao, Zhidong, Yuan, HsiangYu, Zeng, Daniel Dajun. Equitable access to COVID-19 vaccines makes a life-saving difference to all countries. NATURE HUMAN BEHAVIOUR[J]. 2022, 6(2): 207-216, http://dx.doi.org/10.1038/s41562-022-01289-8.
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[399] 王飞跃, 毛文吉, 柯冠岩, 曾大军. 社会计算的研究现状与未来. 中国计算机学会通讯[J]. 2011, 7(12): 8-11, http://ir.ia.ac.cn/handle/173211/14963.
[400] Zeng, Daniel, Wei, Donghua, Chau, Michael, Wang, Feiyue. Domain-specific Chinese word segmentation using suffix tree and mutual information. INFORMATION SYSTEMS FRONTIERS[J]. 2011, 13(1): 115-125, http://dx.doi.org/10.1007/s10796-010-9278-5.
[401] 王飞跃, 曾大军, 曹志冬. 网络虚拟社会中非常规安全问题与社会计算方法. 科技导报[J]. 2011, 29(12): 15-22, http://lib.cqvip.com/Qikan/Article/Detail?id=37504619.
[402] Li, Xiarong, Zeng, Daniel D, Liu, Yong, Yang, Yanwu. Click Fraud and the Adverse Effects of Competition. IEEE INTELLIGENT SYSTEMS[J]. 2011, 26(6): 31-39, http://www.irgrid.ac.cn/handle/1471x/972990.
[403] 王小莉, 曹志冬, 曾大军, 杨鹏, 张奕, 钱海坤, 田丽丽, 黎新宇, 王全意. 应用SEIR模型预测2009年甲型H1N1流感流行趋势. 国际病毒学杂志[J]. 2011, 18(6): 161-165, http://lib.cqvip.com/Qikan/Article/Detail?id=40681589.
[404] 曾大军. Exploring Information Hidden in Tags: A Subject-based Item Recommendation Approach. ACM Transactions on Management Information Systems. 2011, [405] 王飞跃, 杨彦武, 张杰, 李娟娟, 秦蕊, 曾大军. 跨搜索引擎关键字竞价广告预算分配策略. 科技导报[J]. 2011, 29(4): 18-24, http://lib.cqvip.com/Qikan/Article/Detail?id=36678788.
[406] 杨彦武, 王飞跃, 曾大军, 秦蕊, 李娟娟, 张杰. 跨搜索引擎关键字竞价广告预算分配策略. 科技导报[J]. 2011, 29(4): 18-24, http://lib.cqvip.com/Qikan/Article/Detail?id=36678788.
[407] 王飞跃, 曾大军, 曹志冬. 网络虚拟社会中非常规安全问题与社会计算方法. 科技导报[J]. 2011, 29(12): 15-22, http://lib.cqvip.com/Qikan/Article/Detail?id=37504619.
[408] Huang, Zan, Zeng, Daniel Dajun. Why Does Collaborative Filtering Work? Transaction-Based Recommendation Model Validation and Selection by Analyzing Bipartite Random Graphs. INFORMS JOURNAL ON COMPUTING[J]. 2011, 23(1): 138-152, http://dx.doi.org/10.1287/ijoc.1100.0385.
[409] 曾大军, 崔凯楠, 张清鹏, 王飞跃, 钟永光, 郑晓龙. 基于网络信息的社会动力学研究. 复杂系统与复杂性科学[J]. 2011, 8(3): 1-12, http://lib.cqvip.com/Qikan/Article/Detail?id=39166358.
[410] 王飞跃, 毛文吉, 柯冠岩, 曾大军. 社会计算的研究现状与未来. 中国计算机学会通讯[J]. 2011, 7(12): 8-11, http://ir.ia.ac.cn/handle/173211/14963.
[411] 王飞跃, 曾大军, 曹志冬. 网络虚拟社会中非常规安全问题与社会计算方法. 科技导报[J]. 2011, 29(12): 15-22, http://lib.cqvip.com/Qikan/Article/Detail?id=37504619.
[412] 王小莉, 曹志冬, 曾大军, 杨鹏, 张奕, 钱海坤, 田丽丽, 黎新宇, 王全意. 应用SEIR模型预测2009年甲型H1N1流感流行趋势. 国际病毒学杂志[J]. 2011, 18(6): 161-165, http://lib.cqvip.com/Qikan/Article/Detail?id=40681589.
[413] 王飞跃, 杨彦武, 张杰, 李娟娟, 秦蕊, 曾大军. 跨搜索引擎关键字竞价广告预算分配策略. 科技导报[J]. 2011, 29(4): 18-24, http://lib.cqvip.com/Qikan/Article/Detail?id=36678788.
[414] 王飞跃, 曾大军, 曹志冬. 网络虚拟社会中非常规安全问题与社会计算方法. 科技导报[J]. 2011, 29(12): 15-22, http://lib.cqvip.com/Qikan/Article/Detail?id=37504619.
[415] 曾大军. Guest Editors Introduction: Special Issue on Social Media Analytics and Intelligence. IEEE Intelligent Systems. 2010, [416] 王小莉, 杨鹏, 曹志冬, 曾大军, 吴疆, 张奕, 钱海坤, 彭晓旻, 梁慧洁, 庞星火, 邓瑛, 贺雄, 王全意. 北京市2009年甲型HIN1流感防控效果定量评价. 中华流行病学杂志[J]. 2010, 31(12): 1374-1378, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4088418&detailType=1.
[417] Cao ZhiDong, Zeng DaJun, Zheng XiaoLong, Wang QuanYi, Wang FeiYue, Wang JinFeng, Wang XiaoLi. Spatio-temporal evolution of Beijing 2003 SARS epidemic. SCIENCE CHINA-EARTH SCIENCES[J]. 2010, 53(7): 1017-1028, http://dx.doi.org/10.1007/s11430-010-0043-x.
[418] 曾大军, 曹志冬, 郑晓龙, 王全意, 王飞跃. 2008年北京市手足口病流行的规律与传播机制. 科学通报[J]. 2010, 764-772, http://lib.cqvip.com/Qikan/Article/Detail?id=33620356.
[419] 郑晓龙, 曹志冬, 曾大军, 王飞跃, 王全意, 宋宏彬, 王小莉. 甲型H1N1早期流行的时空特征与社会经济因子研究. 2010, http://ir.ia.ac.cn/handle/173211/20846.
[420] 曹志冬, 曾大军, 郑晓龙, 王全意, 王飞跃, 王劲峰, 王小莉. 北京市sars流行的特征与时空传播规律. 中国科学地球科学[J]. 2010, 776-, http://lib.cqvip.com/Qikan/Article/Detail?id=34347907.
[421] 张奕, 邓瑛, 王小莉, 王全意, 曾大军, 曹志冬, 王飞跃, 郑晓龙. 北京市甲型HINl早期流行的特征与时空演变模式. 地理学报[J]. 2010, 65(3): 361-368, http://ir.ia.ac.cn/handle/173211/14983.
[422] 曾大军. Guest Editors Introduction: Special Issue on Social Media Analytics and Intelligence. IEEE Intelligent Systems. 2010, [423] 曹志冬, 曾大军, 王飞跃, 王全意, 王小莉, 王姣姣, 郑晓龙. 2009年北京市甲型H1N1流行的气象因子与时空传播风险. 科技导报[J]. 2010, 26-32, http://lib.cqvip.com/Qikan/Article/Detail?id=33676142.
[424] 王小莉, 杨鹏, 曹志冬, 曾大军, 吴疆, 张奕, 钱海坤, 彭晓旻, 梁慧洁, 庞星火, 邓瑛, 贺雄, 王全意. 北京市2009年甲型HIN1流感防控效果定量评价. 中华流行病学杂志[J]. 2010, 31(12): 1374-1378, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4088418&detailType=1.
[425] Li, Linjing, Li, Xin, Cheng, Changjian, Chen, Cheng, Ke, Guanyan, Zeng, Daniel Dajun, Scherer, William T. Research Collaboration and ITS Topic Evolution: 10 Years at T-ITS. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2010, 11(3): 517-523, http://dx.doi.org/10.1109/TITS.2010.2059070.
[426] Cao ZhiDong, Zeng DaJun, Zheng XiaoLong, Wang QuanYi, Wang FeiYue, Wang JinFeng, Wang XiaoLi. Spatio-temporal evolution of Beijing 2003 SARS epidemic. SCIENCE CHINA-EARTH SCIENCES[J]. 2010, 53(7): 1017-1028, http://dx.doi.org/10.1007/s11430-010-0043-x.
[427] 毛文吉, 王飞跃, 曾大军. 社会计算的意义、发展与研究状况. 科研信息化技术与应用[J]. 2010, 1(2): 3-15, http://ir.ia.ac.cn/handle/173211/14976.
[428] 曾大军, 曹志冬, 郑晓龙, 王全意, 王飞跃. 2008年北京市手足口病流行的规律与传播机制. 科学通报[J]. 2010, 764-772, http://lib.cqvip.com/Qikan/Article/Detail?id=33620356.
[429] Li, Linjing, Li, Xin, Li, Zhenjiang, Zeng, Daniel Dajun, Scherer, William T. A Bibliographic Analysis of the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Literature. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2010, 11(2): 251-255, http://dx.doi.org/10.1109/TITS.2010.2049890.
[430] 郑晓龙, 曹志冬, 曾大军, 王飞跃, 王全意, 宋宏彬, 王小莉. 甲型H1N1早期流行的时空特征与社会经济因子研究. 2010, http://ir.ia.ac.cn/handle/173211/20846.
[431] 王小莉, 曹志冬, 曾大军, 王飞跃, 王全意, 郑晓龙, 宋宏彬. 北京市甲型H1N1 时空传播过程的人工社会建模. 2010, http://ir.ia.ac.cn/handle/173211/20848.
[432] 曹志冬, 曾大军, 郑晓龙, 王全意, 王飞跃, 王劲峰, 王小莉. 北京市sars流行的特征与时空传播规律. 中国科学地球科学[J]. 2010, 776-, http://lib.cqvip.com/Qikan/Article/Detail?id=34347907.
[433] 王小莉, 杨鹏, 曹志冬, 曾大军, 吴疆, 张奕, 钱海坤, 彭晓旻, 梁慧洁, 庞星火, 邓瑛, 贺雄, 王全意. 北京市2009年甲型H1N1流感防控效果定量评价. 中华流行病学杂志[J]. 2010, 1374-1378, http://lib.cqvip.com/Qikan/Article/Detail?id=36175182.
[434] 张奕, 邓瑛, 王小莉, 王全意, 曾大军, 曹志冬, 王飞跃, 郑晓龙. 北京市甲型HINl早期流行的特征与时空演变模式. 地理学报[J]. 2010, 65(3): 361-368, http://ir.ia.ac.cn/handle/173211/14983.
[435] 王小莉, 王全意, 郑晓龙, 王飞跃, 曾大军, 曹志冬, 邓瑛, 张奕. 北京市甲型H1N1早期流行的特征与时空演变模式. 地理学报[J]. 2010, 65(3): 361-368, http://lib.cqvip.com/Qikan/Article/Detail?id=33352895.
[436] 曹志冬, 曾大军, 王飞跃, 王全意, 王小莉, 王姣姣, 郑晓龙. 2009年北京市甲型H1N1流行的气象因子与时空传播风险. 科技导报[J]. 2010, 26-32, http://lib.cqvip.com/Qikan/Article/Detail?id=33676142.
[437] 郑晓龙, 王娇娇, 王小莉, 王全意, 王飞跃, 曾大军, 曹志冬. 2009年北京市甲型H1N1流行的气象因子与时空传播风险. 科技导报[J]. 2010, 26-32, http://lib.cqvip.com/Qikan/Article/Detail?id=33676142.
[438] Li, Linjing, Li, Xin, Cheng, Changjian, Chen, Cheng, Ke, Guanyan, Zeng, Daniel Dajun, Scherer, William T. Research Collaboration and ITS Topic Evolution: 10 Years at T-ITS. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2010, 11(3): 517-523, http://dx.doi.org/10.1109/TITS.2010.2059070.
[439] 毛文吉, 王飞跃, 曾大军. 社会计算的意义、发展与研究状况. 科研信息化技术与应用[J]. 2010, 1(2): 3-15, http://ir.ia.ac.cn/handle/173211/14976.
[440] Li, Linjing, Li, Xin, Li, Zhenjiang, Zeng, Daniel Dajun, Scherer, William T. A Bibliographic Analysis of the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Literature. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2010, 11(2): 251-255, http://dx.doi.org/10.1109/TITS.2010.2049890.
[441] 王小莉, 曹志冬, 曾大军, 王飞跃, 王全意, 郑晓龙, 宋宏彬. 北京市甲型H1N1 时空传播过程的人工社会建模. 2010, http://ir.ia.ac.cn/handle/173211/20848.
[442] 王小莉, 杨鹏, 曹志冬, 曾大军, 吴疆, 张奕, 钱海坤, 彭晓旻, 梁慧洁, 庞星火, 邓瑛, 贺雄, 王全意. 北京市2009年甲型H1N1流感防控效果定量评价. 中华流行病学杂志[J]. 2010, 1374-1378, http://lib.cqvip.com/Qikan/Article/Detail?id=36175182.
[443] 王小莉, 王全意, 郑晓龙, 王飞跃, 曾大军, 曹志冬, 邓瑛, 张奕. 北京市甲型H1N1早期流行的特征与时空演变模式. 地理学报[J]. 2010, 65(3): 361-368, http://lib.cqvip.com/Qikan/Article/Detail?id=33352895.
[444] 郑晓龙, 王娇娇, 王小莉, 王全意, 王飞跃, 曾大军, 曹志冬. 2009年北京市甲型H1N1流行的气象因子与时空传播风险. 科技导报[J]. 2010, 26-32, http://lib.cqvip.com/Qikan/Article/Detail?id=33676142.
[445] 王小莉, 王全意, 刘东磊, 曾大军, 程贺, 李素, 段玮, 黎新宇, 栾荣生, 贺雄. 采用北京市麻疹的暴发模拟数据比较几种预警模型的功效. 中华流行病学杂志[J]. 2009, 30(2): 159-162, http://lib.cqvip.com/Qikan/Article/Detail?id=29473767.
[446] Zeng, Daniel, Chen, Hsinchun, Cao, Zhidong, Wang, FeiYue, Zheng, Xiaolong, Wang, Quanyi. Disease Surveillance Based on Spatial Contact Networks: A Case Study of Beijing 2003 SARS Epidemic. IEEE INTELLIGENT SYSTEMS. 2009, 24(6): 77-82, http://www.irgrid.ac.cn/handle/1471x/972963.
[447] 李哓晨, 毛文吉, 曾大军, 苏鹏, 王飞跃. Performance Evaluation of Machine Learning Methods in Cultural Modeling. 计算机科学技术学报:英文版[J]. 2009, 1010-1017, http://lib.cqvip.com/Qikan/Article/Detail?id=32022573.
[448] 王飞跃, 曾大军, 曹志冬. 应急2.0:万维社会媒体及群体态势建模与分析. 中国应急管理[J]. 2009, 21-25, http://lib.cqvip.com/Qikan/Article/Detail?id=31509905.
[449] 朱婷, 滕桂法, 陆浩, 张长利, 曾大军. 基于在线增量学习的自适应聚焦爬虫研究. 计算机应用与软件[J]. 2009, 26(5): 25-27,33, http://lib.cqvip.com/Qikan/Article/Detail?id=30384078.
[450] 曾大军, 王飞跃, 曹志冬. 开源信息在突发事件应急管理中的应用. 中国学术期刊文摘[J]. 2009, 274-274, http://lib.cqvip.com/Qikan/Article/Detail?id=29574162.
[451] 王飞跃, 曾大军, 罗媛, 曹志冬, 王全意, 吴小莉, 郑晓龙. 基于开源信息的H1N1甲流疫情分析及预测. 2009, http://ir.ia.ac.cn/handle/173211/20845.
[452] 王小莉, 王全意, 刘东磊, 曾大军, 程贺, 李素, 段玮, 黎新宇, 栾荣生, 贺雄. 采用北京市麻疹的暴发模拟数据比较几种预警模型的功效. 中华流行病学杂志[J]. 2009, 30(2): 159-162, http://lib.cqvip.com/Qikan/Article/Detail?id=29473767.
[453] Zhang, Changli, Zeng, Daniel, Li, Jiexun, Wang, FeiYue, Zuo, Wanli. Sentiment Analysis of Chinese Documents: From Sentence to Document Level. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY[J]. 2009, 60(12): 2474-2487, http://dx.doi.org/10.1002/asi.21206.
[454] Zeng, Daniel, Chen, Hsinchun, Cao, Zhidong, Wang, FeiYue, Zheng, Xiaolong, Wang, Quanyi. Disease Surveillance Based on Spatial Contact Networks: A Case Study of Beijing 2003 SARS Epidemic. IEEE INTELLIGENT SYSTEMS. 2009, 24(6): 77-82, http://www.irgrid.ac.cn/handle/1471x/972963.
[455] 李慧倩, 夏粉, 曾大军, 王飞跃, 毛文吉. Exploring Social Annotations with the Application to Web Page Recommendation. 计算机科学技术学报:英文版[J]. 2009, 1028-1034, http://lib.cqvip.com/Qikan/Article/Detail?id=32022575.
[456] 李哓晨, 毛文吉, 曾大军, 苏鹏, 王飞跃. Performance Evaluation of Machine Learning Methods in Cultural Modeling. 计算机科学技术学报:英文版[J]. 2009, 1010-1017, http://lib.cqvip.com/Qikan/Article/Detail?id=32022573.
[457] 王飞跃, 曾大军, 曹志冬. 应急2.0:万维社会媒体及群体态势建模与分析. 中国应急管理[J]. 2009, 21-25, http://lib.cqvip.com/Qikan/Article/Detail?id=31509905.
[458] 朱婷, 滕桂法, 陆浩, 张长利, 曾大军. 基于在线增量学习的自适应聚焦爬虫研究. 计算机应用与软件[J]. 2009, 26(5): 25-27,33, http://lib.cqvip.com/Qikan/Article/Detail?id=30384078.
[459] 曾大军, 王飞跃, 曹志冬. 开源信息在突发事件应急管理中的应用. 中国学术期刊文摘[J]. 2009, 274-274, http://lib.cqvip.com/Qikan/Article/Detail?id=29574162.
[460] 王飞跃, 曾大军, 罗媛, 曹志冬, 王全意, 吴小莉, 郑晓龙. 基于开源信息的H1N1甲流疫情分析及预测. 2009, http://ir.ia.ac.cn/handle/173211/20845.
[461] Zhang, Changli, Zeng, Daniel, Li, Jiexun, Wang, FeiYue, Zuo, Wanli. Sentiment Analysis of Chinese Documents: From Sentence to Document Level. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY[J]. 2009, 60(12): 2474-2487, http://dx.doi.org/10.1002/asi.21206.
[462] 李慧倩, 夏粉, 曾大军, 王飞跃, 毛文吉. Exploring Social Annotations with the Application to Web Page Recommendation. 计算机科学技术学报:英文版[J]. 2009, 1028-1034, http://lib.cqvip.com/Qikan/Article/Detail?id=32022575.
[463] 曹志冬, 曾大军, 王飞跃. 开源信息在突发事件应急管理中的应用. 科技导报[J]. 2008, 26(16): 27-33, [464] 郑晓龙, 毛文吉, 李慧倩, 曾大军, 王飞跃. 基于开源软件的有向图研究. 复杂系统与复杂性科学[J]. 2008, 5(1): 6-13, http://lib.cqvip.com/Qikan/Article/Detail?id=27040315.
[465] 曾大军, 王飞跃, 曹志冬. 开源信息在突发事件应急管理中的应用. 科技导报[J]. 2008, 26(16): 27-33, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=3407095&detailType=1.
[466] Zeng, Daniel, Wang, FeiYue, Zheng, Xiaolong, Yuan, Yong, Chen, Guoqing, Chen, Jian. Intelligent-Commerce Research in China. IEEE INTELLIGENT SYSTEMS[J]. 2008, 23(6): 14-18, http://dx.doi.org/10.1109/MIS.2008.106.
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[479] 李慧倩, 毛文吉, 王飞跃, 戴汝为, 郑晓龙, 曾大军. 开源软件的复杂网络分析及建模. 复杂系统与复杂性科学[J]. 2007, 4(3): 1-9, http://lib.cqvip.com/Qikan/Article/Detail?id=25852483.
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科研活动

   
科研项目
(1) 基于平行管理的应急决策支持,主持,研究所(学校)级,2013-01--2013-12
(2) 中国日报社-中科院自动化所共建“新媒体联合实验室”,主持,部委级,2012-05--2015-05
(3) 新发突发传染病现场应急防控携行装具研究,主持,国家级,2012-01--2015-12
(4) 协同式管理信息系统与电子商务,主持,国家级,2011-01--2014-12
(5) 社会网络结构演化规律及其对非常规突发事件处置策略的影响,主持,国家级,2010-01--2012-12
(6) 重大传染病疫情现场分析与控制技术研究,主持,国家级,2009-01--2010-12
(7) 新兴电子商务复杂性、安全性与社会实验平台研究,主持,国家级,2009-01--2012-12

指导学生

已指导学生

陶钧  硕士研究生  081101-控制理论与控制工程  

陈伟运  博士研究生  081101-控制理论与控制工程  

李林静  博士研究生  081203-计算机应用技术  

彭景  硕士研究生  081203-计算机应用技术  

刘鹤  硕士研究生  081280-软件工程  

苏鹏  博士研究生  081203-计算机应用技术  

谭章文  硕士研究生  081104-模式识别与智能系统  

陈才  硕士研究生  081104-模式识别与智能系统  

王友忠  博士研究生  081203-计算机应用技术  

李晓晨  博士研究生  081203-计算机应用技术  

李厦戎  博士研究生  081203-计算机应用技术  

葛安生  博士研究生  081203-计算机应用技术  

现指导学生

郝春辉  博士研究生  081101-控制理论与控制工程  

张柱  博士研究生  081203-计算机应用技术  

朱昭南  硕士研究生  081104-模式识别与智能系统  

刘加奇  硕士研究生  081104-模式识别与智能系统  

何赛克  博士研究生  081203-计算机应用技术  

罗川  博士研究生  081203-计算机应用技术