程学旗  研究员  

中科院计算所副所长、中国科学院网络数据科学与技术重点实验室主任

研究方向:数据科学与大数据分析系统;网络科学与社会计算;web搜索与挖掘

所属部门:网络数据科学与技术重点实验室

导师类别:博导计算机软件与理论

联系方式:cxq at ict dot ac dot cn

个人网页:

简       历:

程学旗,研究员、博士生导师,中科院计算所副所长。1996年进入中国科院学计算技术研究所工作,先后担任软件室主任、中国科学院网络数据科学与技术重点实验室主任、所长助理、副总工程师,2016年11月起任中科院计算所副所长。国家杰出青年科学基金、中组部“万人计划”领军人才、国务院特殊津贴获得者。担任中国计算机学会大数据专家委员会秘书长、中国工业与应用数学学会大数据与人工智能专委会副主任、中国中文信息学会信息检索与内容安全专委会主任。

在网络数据科学基础理论、大数据分析引擎系统、互联网智能服务等方向深耕20余年,在基础研究和系统应用方面取得了系列有持续影响力的特色成果。在本领域重要国际学术期刊和会议上发表论文200余篇,Google Scholar引用1万余次,获得授权专利60余件。研制完成的大规模分布式机器学习系统(EasyML)、文本与自然语言处理工具集(MatchZoo)、大数据计算引擎(SQLGraph)在国际开源社区影响广泛,在查询理解、信息检索和排序学习方面的研究成果五次获得本领域重要学术会议(ACM SIGIR、ACM CIKM)优秀论文奖。自然语言处理、社会计算、知识图谱、信息检索和排序学习等关键技术在国际权威评测中多次排名第一。

近年来,先后主持并完成了十余项国家自然科学基金、国家重点基础研究发展计划(“973”计划)、国家高技术研究发展计划(“863”计划)、国家信息安全重大专项以及中国科学院知识创新工程等科研任务。研究成果形成的平台、系统获得国家科技进步二等奖三次、北京市科学技术二等奖一次,中国中文信息学会钱伟长中文信息处理科学技术一等奖一次,中国电子学会电子信息科学技术一等奖两次。

主要论著:

期刊文章:

[1]Zheng T, Zhang Z, Cheng X, et al. SAHA: A String Adaptive Hash Table for Analytical Databases[J]. Applied Sciences, 2020, 10(6).

[2]Zhang Ruqing , Guo Jiafeng , Fan Yixing , Lan Yanyan, Cheng Xueqil. Dual-factor Generation Model for Conversation. ACM Transactions on Information Systems (TOIS), 2020.

[3]Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. IEEE Trans. Knowl. Data Eng. 31(6): 1181-1193, 2019.

[4]Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng, Self-learning and embedding based entity alignment. Knowl. Inf. Syst. 59(2): 361-386 (2019).

[5]Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao, CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data 13(6): 57:1-57:21 , 2019.

[6]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.

[7]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.

[8]Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng, Directly Optimize Diversity Evaluation Measures: a New Approach to Search Result Diversification. ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 8: No. 3, Article 41, pp 41:1-41:26, 2017.

[9]Hao Wang, Hua-Wei Shen, Xue-Qi Cheng. Scientific credit diffusion: Researcher level or paper level. Scientometrics, 2016.

[10]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE Trans. Knowl. Data Eng. 28(11): 2871-2883, 2016.

 

会议文章:

[1]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng, Popularity Prediction on Social Platforms with Coupled Graph Neural Networks, International Conference on Web Search and Data Mining(WSDM 2020), USA/Houston, 2020-02-03~2020-02-07

[2]Shanshan Lyu, Yongqing Wang, Wentao Ouyang, Huawei Shen, Xueqi Cheng. What we vote for? Answer selection from user expertise view in community question answering. Proceedings of the 28th Conference on World Wide Web (WWW 2019), May 13-17, 2019, San Francisco, USA.

[3]Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng. Learning binary hash codes for fast anchor link retrieval across networks. Proceedings of the 28th Conference on World Wide Web (WWW 2019), May 13-17, 2019, San Francisco, USA.

[4]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng, MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching,

[5]Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng. Exploiting POI-specific geographical influence for point-of-interest recommendation. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 13-19, 2018, Stockholm, Sweden.

[6]Bingjie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng. Towards efficient detection of overlapping communities in massive networks. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), August 2-7, 2018, New Orleans, Louisiana, USA.

[7]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi Cheng. Neighborhood Voting: A Novel Search Scheme for Hashing. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018).

[8]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng. Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).

[9]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang and Xueqi Cheng. Learning Visual Features from Snapshots for Web Search. Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore. (Best Full Paper Runner-up)

[10]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval. Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore.

科研项目:

承担多项国家级重大科研项目

获奖及荣誉:

曾获得三项国家级科技奖励,十多次省部级奖励,获国家自然科学杰出青年基金及国务院政府特殊津贴。