个人经历

曲强，研究员，中国科学院大学博士生导师， 获得国家级人才计划 、深圳市地方领军人才称号，中国科学院深圳先进技术研究院广东省区块链与分布式物联网安全工程研究中心主任，华为云区块链实验室主任。中国计算机学会区块链专委会、中国物流与采购联合会区块链应用分会专家委员会委员、亚洲区块链产业研究院学术专家委员会委员。
兼任香港中文大学深圳校区客座教授、俄罗斯伊诺珀利斯大学（Innopolis University）客座教授。曾在美国卡内基梅隆大学（Carnegie Mellon University）、苏黎世联邦理工学院（ETH Zurich）等任职。
作为区块链系统、数据库系统与数据智能专家，发表相关学术论文100多篇，其中SCI论文50多篇，撰写中英文专著数部，刊登在TKDE、TKDD、SIGMOD、VLDB等顶级数据库管理与数据挖掘期刊及会议上的许多论文更是引发国际同行广泛讨论与关注，其时空区块链技术在迪拜获得由IBM联合WISE 2018授予的最佳论文奖。主持国家级与省部级项目多项，担任科技部重点研发计划专项项目首席科学家等。

研究方向

区块链系统、数据库系统与数据智能

主要贡献

发表相关学术论文100多篇，其中SCI论文50多篇，刊登在TKDE、TKDD、SIGMOD、VLDB等顶级数据库管理与数据挖掘期刊及会议上的许多论文更是引发国际同行广泛讨论与关注。
时空区块链技术在迪拜获得由IBM联合WISE 2018授予的最佳论文奖。
撰写中英文专著数部，包括《区块链+人工智能：下一个改变世界的经济新模式》等。
曾获中国计算机协会数据库专业委员会萨师煊优秀学生论文奖、欧盟居里夫人奖学金、北京大学佳能奖学金。
主持和参与过多个国家级科研项目。
是多个重要领域内重要学术会议的TPC成员，并曾多次在诸如VLDB、ICDM、APWEB等国际高水平会议上举办时空大数据挖掘和高效数据管理等方面的专题研讨会，长期与俄罗斯、美国、丹麦、新加坡、香港等国家和地区的数据管理和数据挖掘方面的高水平研究团队保持紧密的合作和交流。

研究成果

论文

1. Shuai Yu, Min Yang, Qiang Qu, Ying Shen: Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. Expert Syst. Appl. 136: 365-375 (2019) (通信作者，JCR一区，2018-2019影响因子4.292)
2. Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Liu, Christian S. Jensen. Efficient Attribute-Constrained Co-Located Community Search, ICDE 2020 (Accepted). (通信作者, CCF A类会议)
3. Qiang Qu, Ildar Nurgaliev, Muhammad Muzamma：On Spatio-temporal Blockchain Query Processing. Future Generation Computer Systems, 2019. accepted (JCR一区， 2018-2019影响因子5.768)
4. Min Yang, Qiang Qu, Ying Shen, Kai Lei, Jia Zhu. Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. Neural Computing and Applications, 2019. (通信作者,JCR一区,2018-2019影响因子4.664)
5. Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu: Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Information Sciences 486: 271-286 (2019) (JCR一区,2018-2019影响因子5.524)
6. Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu. Towards the Best Co-located Community Search in Attributed Networks. CIKM 2019. (CCF B类会议)
7. Jiehuan Luo, Xin Cao, Qiang Qu, Yaqiong Liu: Efficient Search of the Most Cohesive Co-located Community in Attributed Networks. DASFAA (1) 2019: 398-415 (通信作者)
8. Seyed Mojtaba Hosseini Bamakan, Ildar Nurgaliev, Qiang Qu: Opinion leader detection: A methodological review. Expert Systems with Applications 115: 200-222 (2019) (通信作者，JCR一区，2018-2019影响因子4.292)
9. Muhammad Muzammal, Qiang Qu，Bulat Nasrulin：Renovating blockchain with distributed databases: An open source system. Future Generation Computer Systems, 90:105-117 (2019). (通信作者，JCR一区，2018-2019影响因子5.768)
10. Muhammad Muzammal, faima Abbasi, Qiang Qu, Romana Talat, Jianping Fan. A decentralised approach for link inference in large signed graphs. Future Generation Computer Systems (2019). (通信作者，JCR一区，2018-2019影响因子5.768)
11. Min Yang, Wenpeng Yin,Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen. Neural Attentive Network for Cross-Domain Aspect-level Sentiment Classification. IEEE Transactions on Affective Computing (TAC), 2019. (JCR一区，2018-2019影响因子6.288) [1]
12. Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu: Advanced community question answering by leveraging external knowledge and multi-task learning. Knowl.-Based Syst. 171: 106-119 (2019) （JCR一区， 2018-2019影响因子4.396）
13. Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen: A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. AAAI 2019: 9935-9936 (CCF A类会议)
    14.Christos Doulkeridis, Qiang Qu, George A. Vouros, João B. Rocha-Junior: Guest Editorial: Special issue on mobility analytics for spatio-temporal and social data. GeoInformatica 23(3): 323-327 (2019)(2018-2019影响因子1.317)
    15.Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen: MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web 22(2): 499-515 (2019)(2018-2019影响因子1.77)
14. Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen. Exploring Human-Like Reading Strategy for Abstractive Text Summarization, The AAAI Conference on Artificial Intelligence (AAAI) 2019: 7362-7369. (CCF A类会议)
15. Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai. Learning Document Embeddings with Crossword Prediction, The AAAI Conference on Artificial Intelligence (AAAI) 2019: 9993-9994. (CCF A类会议) [1]
16. Yu Shuai, Yongbo Wang, Min Yang, Qiang Qu, Baocheng Li, Shen Jialie. NAIRS: A Neural Attentive Interpretable Recommendation System, ACM International Conference on Web Search and Data Mining (WSDM) 2019: 790-793. (CCF B类会议)
17. Wei Zhou, Yanghong Zhou, Yangping Zhou, Jialie Shen, Qiang Qu, K.P. Chau: Fashion Recommendations through Cross-media Information Retrieval. Journal of Visual Communication and Image Representation, 61: 112-120 (2019). (2018-2019影响因子2.259) [1]
18. Bulat Nasrulin, Muhammad Muzammal, Qiang Qu: A Robust Spatio-Temporal Verification Protocol for the Blockchain. WISE 2018 (通信作者)
19. Ildar Nurgaliev, Muhammad Muzammal, Qiang Qu: Enabling Blockchain for Efficient Spatio-temporal Query Processing. WISE 2018 (通信作者,最佳论文)
20. Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei: Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing 307: 91-97 (2018) （JCR一区，2018-2019影响因子4.072）
21. Yingjie Tian, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Qiang Qu: Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems. Neurocomputing 310: 223-235 (2018) （JCR一区，2018-2019影响因子4.072）
22. Bulat Nasrulin, Muhammad Muzammal, Qiang Qu: ChainMOB: Mobility Analytics on Blockchain. MDM 2018: 292-293 (通信作者)
23. Wei Zhou, Junhao Wen, Qiang Qu, Jun Zeng, Tian Cheng. Shilling attack detection for recommender systems based on credibility of group users and rating time series. PLOS ONE 13(5): e0196533 (2018). (通信作者，JCR一区,2018-2019影响因子2.776)
24. Min Yang, Wenting Tu, Qiang Qu, Xiaojun Chen, Zhou Zhao, Jia Zhu. Personalized Response Generation by Dual-learning based Domain Adaptation. Neural Networks, 103:72-82(2018). (中科院一区，JCR一区，2018-2019影响因子5.785)
25. Siyuan Liu, Qiang Qu, Shuhui Wang. Heterogeneous anomaly detection in social diffusion with discriminative feature discovery. Information Sciences, 2018, 439: 1-18 (通信作者，JCR一区, 2018-2019影响因子5.524)
26. Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen.Efficient Online Summarization of Large-scale Dynamic Networks. IEEE Transactions on Knowledge and Data Engineering, 2016, 28(12): 3231-3245.（CCF A，JCR一区，中科院分区2区，2018-2019影响因子3.857）
27. Juanjuan Zhao, Qiang Qu, Fan Zhang, Chengzhong Xu, Siyuan Liu. Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data. IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), pp(99): 1-12 (2017) (通信作者，JCR一区, 2018-2019影响因子5.744)
28. Qiang Qu, Cen Chen, Christian S. Jensen, Anders Skovsgaard. Space-Time Aware Behavioral-Topic Modeling for Microblog Posts. IEEE Data Eng. Bull., 2015, 38(2): 58-67.
29. Liu, Siyuan, Qiang Qu. Dynamic collective routing using crowdsourcing data. Transportation Research Part B: Methodological 93 (2016): 450-469.（通信作者，JCR一区，中科院分区小区1区，2018-2019影响因子4.574）
30. Siyuan Liu, Qiang Qu, Ce Liu, Lei Chen, Lionel M. Ni. SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams. IEEE Transactions on Big Data, 2015, 1(2): 68-81.
31. Fang Zhou, Qiang Qu, Hannu Toivonen. Summarization of weighted networks. Journal of Experimental & Theoretical Artificial Intelligence, 2017: 1-30.（JCR Q2，2018-2019影响因子2.111）
32. Siyuan Liu, Qiang Qu, Shuhui Wang. Rationality Analytics from Trajectories. ACM Transactions on Knowledge Discovery from Data (TKDD), 2015, 10(1): 10.（CCF B，2018-2019影响因子2.538）
33. Muhammad Muzammal, Moneeb Gohar, Arif Ur Rahman, Qiang Qu, Awais Ahmad, Gwanggil Jeon. Trajectory Mining using Uncertain Sensor Data. IEEE Access 2018. (通信作者，JCR一区，2018-2019影响因子4.098)
34. Yipeng Chen, Hongyan Li, Qiang Qu. Negative-aware Influence Maximization in Social Networks. AAAI 2018. (通信作者，CCF A) [1]
35. Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li. Generative Adversarial Network for Abstractive Text Summarization. AAAI 2018. (通信作者，CCF A)
36. Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Xiaojun Chen, Zhou Zhao, Zhexue Huang, Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation, The SIAM International Conference on Data Mining (SDM), 2018.(通信作者，CCF B)
37. Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu. A topic drift model for authorship attribution, Neurocomputing, 2017.（JCR一区，2018-2019影响因子4.072）
38. Min Yang, Yuzhi Liang, Wei Zhao, Wei Xu, Jia Zhu, Qiang Qu. Task-oriented Keyphase Extraction from Social Media, Multimedia Tools and Applications, 2017（JCR Q2，2018-2019影响因子2.101）
39. Min Yang,Qiang Qu,Ying Shen,Qiao Liu,Wei Zhao,Jia Zhu:Aspect and Sentiment Aware Abstractive Review Summarization.COLING2018:1110-1120 (通信作者，CCF B)
40. Min Yang, Qiang Qu, Jia Zhu, Ying Shen, Zhou Zhao: Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization. CIKM 2018: 1531-1534 (通信作者，CCF B)
41. Wenyu Du, Shuai Yu,Min Yang, Qiang Qu, Jia Zhu,GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding, The 27th International World Wide Web Conference (WWW), 2018.(CCF A)
42. Zhile Jiang, Shuai Yu, Min Yang, Qiang Qu, Junyu Luo, Juncheng Liu, Multi-task Learning for Author Profiling with Hierarchical Features, The 27th International World Wide Web Conference (WWW), 2018. (CCF A)
43. Faima Abbasi, Muhammad Muzammal, Qiang Qu: A Decentralized Approach for Negative Link Prediction in Large Graphs. ICDM Workshops 2018: 144-150
44. Sadegh Nobari, Qiang Qu, Christian S. Jensen. In-memory Spatial Join: The data matters! Proceedings of the 14th international conference on extending database technology,Venice,Italy,2017.03.21-2017.03.24 （通信作者，CCF B类）
45. Mingli Zhang, Qiang Qu, Sadegh Nobari, Christian Desrosiers. LRI: A low rank approach to non-local sparse representation for image interpolation. Neural Networks (IJCNN), 2016 International Joint Conference on，Vancouver, Canada，2016.07.24-2016.07.29
46. Ali Hadian, Sadegh Nobari, Behrouz Minaei-Bidgoli, Qiang Qu. ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks. Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data，San Francisco, CA, United States，2016.06.26-2016.07.01 （CCF A）
47. Mingli Zhang, Christian Desrosiers, Qiang Qu, Fenghua Guo, Caiming Zhang. Medical Image Super-resolution with Non-local Embedding Sparse Representation and Improved IBP. ICASSP 2016，Shanghai，China，2016.03.20-2016.03.25 （CCF B）
48. Joseph Alexander Brown，Collins Sheridan Houghtent, Kennedy Tyler，Qiang Qu: Evolving graph compression using similarity measures for bioinformatics applications，13th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology，Chiang Mai, Thailand，2016.10.05-2016.10.07
49. Damir Mirzanurov, Waqas Nawaz, JooYoung Lee, Qiang Qu: An Effective Cluster Assignment Strategy for Large Time Series Data.17th International Conference on Web-Age Information Management，Nanchang, China，20 16.06.03-2016.06.05
50. Ce Liu, Qiang Qu: Trip Fare Estimation Study from Taxi Routing Behaviors and Localizing Traces，15th IEEE International Conference on Data Mining Workshop, ICDMW 2015，Atlantic City, NJ, United States，2015.11.14-2015. 11.14
51. Joseph Alexander Brown，Qiang Qu: Systems for player reputation with NPC agents，2015 IEEE Conference on Computational Intelligence and Games， Tainan, Taiwan，2015.08.31-2015.09.02
52. Siyuan Liu, Shuhui Wang, Qiang Qu, Encyclopedia of GIS (Trajectory Mining), Springer International Publishing，2600，2016.10.06
53. Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang: Mobility Analytics for Spatio-Temporal and Social Data. Lecture Notes in Computer Science 10731, Springer 2018, ISBN 978-3-319-73520-7
54. Qiang Qu, Hongyan Li, Lei Wang, Gaoshan Miao, Xin Wei: Online Constrained Pattern Detection over Streams. 6th International Conference on Fuzzy Systems and Knowledge Discovery，Tianjin, China 2009.08.14-2009.08.16
55. Qiang Qu, Jiangnan Qiu, Chenyan Sun, Yanzhang Wang: Graph-Based Knowledge Representation Model and Pattern Retrieval. 5th International Conference on Fuzzy Systems and Knowledge Discovery，Jinan, China，2008.08.25-2 008.08.27
56. Feida Zhu, Zequn Zhang, Qiang Qu. A Direct Approach to Efficient Constrained Graph Pattern Discovery. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data，New York, NY, United States，2013.06.22-2013.0 6.27 （CCF A）
57. Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu: Spatial Keyword Querying. International Conference on Conceptual Modeling，Florence, Italy，2012 .10.15-2012.10.18
58. Biying Tan, Feida Zhu, Qiang Qu, Siyuan Liu. Online Community Transition Detection. International Conference on Web-Age Information Management，Macau, China，2014.06.16-2014.06.18
59. 李菲菲, 李红燕, 曲强, 苗高杉. SPQ: 数据流上面向可伸缩模式的查询方法. 计算机学报, 2010, 33(8):1481-1491.
60. Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu. Mining Top-K Large Structural Patterns in a Massive Network. Proceedings of the VLDB Endowment, 2011, 4(11): 807-818.（CCF A）
61. 刘之强, 李红燕, 王磊, 曲强. 面向业务流程的数据模型异常检测方法. 计算机学报, 2010, 33(8): 1349-1358.
62. 巨程,李红燕,李菲菲,曲强. OCPM:一种数据流上复合模式的在线匹配方法.计算机研究与发展，2011，48(s3)
63. Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos. Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. Joint European Conference on Machine Learning and Knowledge Discovery in Databases，Nancy, France，2014.09.15-201 4.09.19 （CCF B）
64. Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen. Integrating Non-spatial Preferences with Spatial Location Queries. Proceedings of the 26th International Conference on Scientific and Statistical Database Management，Aalborg, Denmark，2014.06.30-2014.07.02.
65. Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen. Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects. Mobile Data Management (MDM), 2014 IEEE 15th International Conference on，Brisbane, Australia，2014.0 7.15-2014.07.18
66. Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li. Efficient Topological OLAP on Information Networks. International Conference on Database Systems for Advanced Applications，Hong Kong, China，2011.04.22-2011.04.25 （一作，通信作者，CCF B）
67. Lei Wang, Hongyan Li, Huaqiang Zhang, Bin Zhou, Qiang Qu: Verif ying the consistency between business process model and data model，1st IITA International Joint Conference on Artificial Intelligence，Hainan Island, China ，2009.04.25-2009.04.26
68. Feifei Li, Hongyan Li, Qiang Qu: Composite pattern query expression over medical data streams，The 2nd International Conference on Biomedical Engineering and Informatics，Tianjin, China，2009.10.17-2009.10.19
    专著
    曲强、林益民. 《区块链+人工智能：下一个改变世界的经济新模式》. 人民邮电出版社，2019年4月1日出版，ISBN: 9787115507990
    Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang: Mobility Analytics for Spatio-Temporal and Social Data. Lecture Notes in Computer Science 10731, Springer 2018, ISBN 978-3-319-73520-7
    Siyuan Liu, Shuhui Wang, Qiang Qu, Encyclopedia of GIS (Trajectory Mining), Springer International Publishing，2600，2016.10.06

专利与软件著作权成果

曲强，张金波：数据库查询重构方法、装置、设备及存储介质 201710581300.7，深圳先进技术研究院，发明专利
梁予之，曲强：基于词标签的词语标注方法、装置、服务器及存储介质201710581312.X，深圳先进技术研究院，发明专利
梁予之，杨敏，曲强：少数类图片样本的生成方法、装置、设备及存储介质201710637315.0，深圳先进技术研究院，发明专利
罗捷桓，曲强，张金波：智能合约执行方法、装置、设备及存储介质 201710679724.7，深圳先进技术研究院，发明专利
罗捷桓，张金波，曲强：区块链共识达成方法、装置. CN 107623686 B，深圳先进技术研究院，发明专利 【已授权，授权公告日2019.9.17】
曲强，罗捷桓，张金波：区块链的数据索引及查询方法、装置、设备及存储介质201710816597.0，深圳先进技术研究院，发明专利
苏联灯、曲强、叶文倩：无人机行为监管系统及方法 201810309830.0，深圳先进技术研究院+深圳众享互联科技有限公司，发明专利
梁予之、杨敏、曲强：一种基于注意力机制的推荐系统及推荐方法 201821106014.1，深圳先进技术研究院，发明专利
曲强：一种区块链时空数据查询方法、系统及电子设备 201810765882.9 中国科学院深圳先进技术研究院，发明专利
曲强：一种区块链时空数据查询系统及电子设备 CN 208781225 U，中国科学院深圳先进技术研究院，实用新型 【已授权，授权公告日2019.4.23】
曲强，杨敏：一种基于自动编码的文本表示学习方法、系统及电子设备, 201811287359.6 中国科学院深圳先进技术研究院，发明专利
曲强，杨敏：一种基于多任务学习的社区问答系统、方法及电子设备，201811281635.8，深圳先进技术研究院，发明专利
杨敏，曲强：实时事件摘要的生成方法、装置、设备及存储介质，201910446730.7，中国科学院深圳先进技术研究院，发明专利
杨敏，曲强，陈磊，姜青山：一种基于多任务学习的方面级别文本情感转换方法，201910299536.0，中国科学院深圳先进技术研究院，发明专利 [1]
张扬，曲强，周启鸣，钱静，孙博：一种基于区块链的遥感数据存储方法和存储系统，201910163311.2，中国科学院深圳先进技术研究院，发明专利
杨敏，曲强：一种基于混合学习模型的实时事件摘要方法，PCT/CN2019/088630，中国科学院深圳先进技术研究院，发明专利
林益民，曲强：基于人工智能的智慧型调度系统V1.0，2017SR322324，2017
张金波，曲强，林益民：面向决策评估的金融情景模拟系统V1.0，2017SR65092， 2017
乐格君，曲强，张扬，苏联灯：基于区块链的诚信简历系统V1.0，2019SR0304977, 201