基本信息
程学旗 男 博导 计算技术研究所
电子邮件:cxq@ict.ac.cn
通信地址:北京市海淀区科学院南路6号2704信箱
邮政编码:100190

研究领域

网络科学与社会计算、机器学习与智能搜索、智能金融、网络信息安全

工作经历

   
工作简历
2017-01~现在, 中国科学院计算技术研究所, 副所长
2017-01~现在, 中国科学院计算技术研究所, 大数据分析技术国家工程实验室副主任
2004-03~现在, 中科院计算所, 研究员,中科院网络数据科学与技术重点实验室主任,副总工程师
2000-03~2004-02,中科院计算所, 副研究员,软件研究室主任
1996-04~2000-02,国家智能计算机研究开发中心, 工程师
学术服务

[1] 中国计算机学会大数据专家委员会,秘书长
[2] 中国中文信息学会信息检索专委会主任
[3] 中国中文信息学会社会媒体处理专业委员会,副主任(2013-2017年)
[4] 香山科学会议共同执行主席,“网络数据科学与工程学科发展问题”(2012.05.22-24
[5] 国家信息安全专项计划(242)专家组管理专家
[6] Journal of Computer Science and Technology》、《IEEE transaction on Big Data》、《计算机学报》、《中文信息学报》等杂志编委
[7] 担任10余个国际学术会议的程序委员会委员或资深委员(SIGIRWWWICDMIJCAICIKMWSDMACL等)
[8] 担任10余个国际学术刊物审稿人(IEEE TCIEEE TKDEIEEE TPDSACM TOISACM TKDDExpert Systems with Applications (ESWA)Physical Review E (PRE)Scientific Reports (Sci. Rep.)Journal of Statistical Mechanics: Theory and Experiment (JSTAT)Physica A: Statistical Mechanics and its Applications等)


教授课程
社会信息网络分析、 统计机器学习:理论、算法与工具、 信息网络计算模型与算法理论、 统计机器学习基础

学术荣誉


国家科技进步奖 

 [1] 2016年 国家科技进步二等奖,获奖项目:面向文本的网络空间XX事件检测、预警与应急处置平台及应用,排名第二
 [2] 2012年 国家科技进步二等奖,获奖项目:大规模网络信息监测与服务系统关键技术及应用,排名第一
 [3] 2004年 国家科技进步二等奖,获奖项目:大规模网络特定信息获取系统,排名第二 

省部级科技进步奖

 [4]2016年 中国电子学会科学技术奖一等奖,排名第二
 [5]2015年 北京市科学技术奖二等奖,排名第一
 [6]2014年   中国电子学会科学技术奖二等奖,排名第一
 [7]2014年   中文信息学会钱伟长中文信息处理科学技术奖一等奖,排名第一
 [8] 2011年 中国电子学会电子信息科学技术一等奖,排名第一
 [9] 2001年 中国科学院科技进步二等奖,排名第三 


其他奖励 

 [10] 2017年 第26届国际信息与知识管理会议(ACM CIKM)Best Full Paper Runner-up Award
 [11] 2012年 第35届国际信息检索会议(ACM SIGIR)最佳学生论文奖(Best Student Paper Award) 
 [12] 2011年 第20届国际信息与知识管理会议(ACM CIKM)最佳论文奖(Best Paper Award)
 [13] 2011年 第十二届中国青年科技奖
 [14] 2011年 中国科学院青年科学家奖
 [15] 2010年 中国计算机学会(CCF)青年科学家奖
 [16] 2010年 国务院政府特殊津贴
 [17] 2010年 钱伟长中文信息处理科学技术奖一等奖
 [18] 2008年 第十一届茅以升北京青年科技奖
 [19] 2008年 “中创”软件人才奖
 [20] 2007年 中科院优秀博士论文
 [21] 2000年 中国科学院优秀青年学者奖(盈科奖)
 [22] 2000年 “九五”国家科技攻关先进个人

科研项目

[1] 国家自然科学基金重大研究计划 大数据驱动的互联网金融监测与服务平台及示范应用 2018.01-2021.12,项目负责人
[2] 国家自然科学基金杰出青年基金 Web信息检索与数据挖掘,2013.01-2018.12,项目负责人
[3] 国家自然科学基金重点项目 在线社会关系网络的挖掘与分析 2013.01-2017.12 项目负责人
[4] 国家自然科学基金重点项目 Web搜索与挖掘的新理论和新方法 2010.01-2013.12 项目子课题负责人
[5] 国家自然科学基金面上项目 面向社会信息网络的社区分析研究 2009.01-2011.12 项目负责人
[6] 国家自然科学基金委主任项目 基础研究资源信息平台及智能评审系统 2011.01-2011.12 项目负责人
[7] 国家973项目 网络大数据计算的基础理论及其应用研究 2014.01-2018.12 课题负责人
[8] 国家973项目 大规模文本内容计算 2004.09-2009.08 课题负责人
[9] 国家973项目 文本挖掘与知识检索 1998.09-2003.12 课题负责人
[10] 国家863目标导向课题 大规模网络内容安全控制关键技术与示范系统研究 2007.01-2008.12 课题负责人

论文发表

复杂网络与社会计算

[1]. Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng, Exploring POI-specific geographicalinfluence for Point-of-Interest Recommendation, IJCAI2018.

[2]. 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 Companion), pp. 765-766, April 3-7, 2017, PerthAustralia.

[3]. 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), May 23-26, 2017, Jeju, South Korea.

[4]. 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), May 23-26, 2017, Jeju, South Korea.

[5]. 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), August 2017, Melbourne, Australia.

[6]. 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), August 2017, Melbourne, Australia.

[7].  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), August 2017, Melbourne, Australia.

[8].  Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen. Relative influence maximization in competitive social networks. SCIENCE CHINA - Information Sciences, 2017

[9]. Liang Bai, Xueqi Cheng, Jiye Liang Huawei Shen, Yike Guo. Fast density clustering strategies based on the k-means algorithm. Pattern Recognition, 71, 2017, pp. 375-386.

[10].     Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang and Xueqi Cheng. A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. International Conference on Information and Knowledge Management (CIKM), ACM. Singapore, Nov. 6 - 10, 2017, pp. 579-606.

[11].     Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang and Xueqi Cheng. Towards efficient detection of overlapping communities in massive networks.  AAAI. New Orleans, Louisiana, Feb. 2 - 7, 2018.

[12].     Shanshan Lyu, Wentao Ouyang, Huawei Shen, and Xueqi Cheng. Truth Discovery by Claim and Source Embedding. International Conference on Information and Knowledge Management (CIKM), ACM. Singapore, Nov. 6 - 10, 2017, pp. 2183-2186.

[13].     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, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), Jeju, South Korea, May 23-26, 2017; 

[14].     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. (SCI IF = 1.785)

 

[15].      Xiao-Qian Sun, Hua-Wei Shen*, Xue-Qi Cheng, Yuqing Zhang. Market confidence predicts stock price: beyond supply and demand. PLoS ONE, 11(7): e0158742, 2016. SCI IF = 3.057

[16].      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 (IEEE TKDE), 28(11): 2871-2883, 2016.

[17].      Hao Wang, Hua-Wei Shen*, Xue-Qi Cheng. Scientific credit diffusion: Researcher level or paper level? Scientometrics, 109:827–837, 2016. SCI IF = 2.084

[18].      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.  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. 

[19].      Wei Liu, Huawei Shen*, Wentao Ouyang, Ge Fu, Li Zha, Xueqi Cheng. Larning 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)

[20].        Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li. TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets. IEEE Transactions on Knowledge and Data Engineering, 27(6):1696-1709, 2015.

[21].      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.

[22].     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.

[23].     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.

[24].     Bingjie Sun, Huawei Shen, Xueqi Cheng. Improve Network Clustering via Diversified Ranking. Proceedings of the 4th International Conference on Computational Social Networks (CSoNet 2015), pp. 104–115, August 2015, Beijing, China.

[25].     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. (SCI IF = 1.785)

 

[26].      Xiao-Qian Sun, Hua-Wei Shen*, Xue-Qi Cheng, Yuqing Zhang. Market confidence predicts stock price: beyond supply and demand. PLoS ONE, 11(7): e0158742 Junming Huang, Chao Li, Wen-Qiang Wang, Hua-Wei Shen, Guojie Li, Xue-Qi Cheng. Temporal scaling in information propagation. Scientific Reports, 4: 5334, 2014. 

[27].     Xiao-Qian Sun, Hua-Wei Shen, Xue-Qi Cheng. Trading network predicts stock price. Scientific Reports, 4: 3711, 2014. 

[28].     Bing-Jie Sun, Hua-Wei Shen, Xue-Qi Cheng. Detecting overlapping communities in massive networks. EPL 108(6):68001, 2014. 

[29].     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. 

[30].     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), January 2015, Austin, Texas, USA. 

[31].     Peng Bao, Huawei Shen, Wei Chen and Xueqi Cheng. Cumulative Effect in Information Diffusion: Empirical Study on a Microblogging Network. PLoS ONE, 2013. 

[32].     Wei Chen, Jan Nagler, Xueqi Cheng, Xiaolong Jin, Huawei Shen, Zhiming Zheng and Raissa M. Phase transitions in supercritical explosive percolation D’Souza. Physical Review E, 2013. 

[33].     Wei Chen, Xueqi Cheng, Zhiming Zheng, Ning Ning Chung, Raissa M. D’Souza and Jan Nagler. Unstable supercritical discontinuous percolation transitions. Physical Review E, 2013. 

[34].     Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang and Xueqi Cheng. StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. CIKM, 2013. 

[35].     Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng and Huawei Shen. Adaptive co-training SVM for sentiment classification on tweets. CIKM, 2013. 

[36].     Peng Bao, Huawei Shen, Junming Huang and Xueqi Cheng. Popularity prediction in microblogging network: a case study on sina weibo. WWW, 2013. 

[37].     Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu and Yuanzhuo Wang. Co-training and visualizing sentiment evolvement for tweet events. WWW, 2013. 

[38].     Xiaoqian Sun, Huawei Shen, Xueqi Cheng and Zhaoyang Wang. Degree strength correlation reveals anomalous trading behavior. PLoS ONE, 2012. 

[39].     Fu-Xin Ren, Hua-Wei Shen, Xue-Qi Cheng. Modeling the clustering in citation networks. Physica A, 391(12): 3533-3539, 2012. 

[40].     Junming Huang, Xueqi Cheng, Huawei Shen, Tao Zhou and Xiaoling Jin. Exploring social influence via posterior effect of word-of-mouth recommendations. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM 2012), pp. 573-582, Seattle, USA, February 2012. 

[41].     Xiangtao Liu, Yang Li, Zhezhong Li and Xueqi Cheng. Social Network Analysis on KAD and Its Application. APWeb, 2011

[42].     Huawei Shen, Xueqi Cheng and Jiafeng Guo, Exploring the structural regularities in networks. Physical Review E, 2011. 

 

机器学习与智能搜索

[43].       Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng, Reinforcing Coherence for Sequence toSequence Model in Dialogue Generation, IJCAI2018.

[44].       Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi ChengLearning to Control the Specificity inNeural Response GenerationACL2018.

[45].       Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi ChengTailored Sequence to Sequence Models toDifferent Conversation ScenariosACL2018.

[46].       Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi ChengModeling Diverse Relevance Patternsin Information Retrieval, SIGIR2018.

[47].       Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng, From Greedy Selection to ExploratoryDecision-Making: Diverse Ranking with Policy-Value Networks,SIGIR2018.

[48].       Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng,Variance Reduction of Policy GradientBandit Problem via Antithetic Variates,SIGIR2018.

[49].      Shengxian Wan, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Match-SRNN: modeling the recursive matching structure with spatial RN. (A)

[50].      Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Modeling document novelty with neural tensor network for search result diversification, SIGIR 2016. (A)

[51].       孙飞,郭嘉丰,兰艳艳,徐君,程学旗,Inside Out: Two Jointly Predictive Models for Word Representations and Phrase RepresentationsAAAI2016,2821-2827

[52].       孙飞,郭嘉丰,兰艳艳,徐君,程学旗,Sparse Word Embeddings Using l1 Regularized Online LearningIJCAI2016,2915-2921.

[53].       Tianyou Guo, Jun Xu, xiaohui Yan, Jianpeng Hou ,Ping Li, zhaohui Li, Jiafeng Guo, and Xueqi Cheng, Ease the process of machine learning with dataflow, CIKM2016 demo paper.

[54].     Chengeng Ou, Xiaolong Jin, Yuanzhuo Wang, Wei Chen, Xueqi Cheng. The Impact of Heterogeneous Spreading Abilities of Network Ties on Information Spreading (Best Paper Award). Proceedings of the 15th IEEE International Conference on Computer and Information Technology (CIT-2015), Liverpool, England, UK, October 26-28, 2015.

[55].     Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu and Xueqi Cheng, Position-Aware ListMLE: A Sequential Learning Process for Ranking. Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI’14), Quebec, Canada, 2014. 

[56].     Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng and Shuzi Niu, Learning for Search Result Diversification. Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’14), GoldCoast, Australia, 2014. 

[57].     Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng and Xiubo Geng, What Makes Data Robust: A Data Analysis in Learning to Rank. Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’14), GoldCoast, Australia, 2014. 

[58].     Pengfei Wang, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Modeling Retail Transaction Data for Personalized Shopping Recommendation, Proceedings of The 23th ACM Conference on Information and Knowledge Management (CIKM’14), Shanghai, China. 

[59].     Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo, BTM: Topic Modeling over Short Texts, IEEE Transactions on Knowledge and Data Engineering, 2014. 

[60].     Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Local Linear Matrix Factorization for Document Modeling. Proceedings of the 36th European Conference on Information Retrieval (ECIR'14), Amsterdam, Holland, 2014. 

[61].     Xueqi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu and Yixin Chen. Ranking on Data Manifold with Sink Points. IEEE TKDE, 2013. 

[62].     Xiaohui Yan, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. A Biterm Topic Model for Short Texts. WWW, 2013. 

[63].     Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du and Xueqi Cheng. A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. ICDM, 2013. 

[64].     Yanyan Lan, Shuzi Niu, Jiafeng Guo and Xueqi Cheng. Is top-k sufficient for ranking?. CIKM, 2013. 

[65].     Shuzi Niu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng. Stochastic Rank Aggregation. UAI, 2013. 

[66].     Xiaohui Yan, Jiafeng Guo, Shenghua Liu and Xueqi Cheng. Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. SDM, 2013. 

[67].     Lu Bai, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. Group Sparse Topical Coding: From Code to Topic. WSDM, 2013. 

[68].     Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan and Xueqi Cheng. Informational friend recommendation in social media. SIGIR, 2013. 

[69].     Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin and Xueqi Cheng. Collaborative factorization for recommender systems. SIGIR, 2013. 

[70].     Yanyan Lan, Jiafeng Guo, Xueqi Cheng and Tie-yan Liu. Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space. Proceedings of Neural Information Processing Systems 2012, Lake Tahoe, Nevada, United States, 2012. 

[71].     Shuzi Niu, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. Top-k learning to rank: labeling, ranking and evaluation. Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, Portland, Oregon, USA, August 2012. 

[72].     Xiaofei Zhu, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. More Than Relevance: High Utility Query Recommendation By Mining Users’ Search Behaviors. Proceedings of The 21th ACM Conference on Information and Knowledge Management, 2012. 

[73].     Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng and Yanfeng Wang. Clustering Short Text Using Ncut-weighted Non-negative Matrix Factorization. Proceedings of The 21th ACM Conference on Information and Knowledge Management, 2012. 

[74].     Shuzi Niu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng. A New Probabilistic Model for Top-k Ranking Problem. CIKM, 2012. 

[75].     Yadong Zhu, Yuanhai Xue, Jiafeng Guo, Yanyan Lan, Xueqi Cheng and Xiaoming Yu. Exploring and Exploiting Proximity Statistic for Information Retrieval Model. Proceedings of The Eighth Asia Information Retrieval Societies Conference, Tianjin, China, 2012. 

[76].     Xueqi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu and Yixin Chen. Ranking on Data Manifold with Sink Points.IEEE Transactions on Knowledge and Data Engineering, 2011. 

[77].     Pan Du, Jiafeng Guo and Xueqi Cheng. Update Summarization based on Heat Diffusion Process. Pattern Recognition and Machine Learning, 2011. 

[78].     Jiafeng Guo, Xueqi Cheng, Gu Xu and Xiaofei Zhu, Intent-Aware Query Similarity, Proceedings of The 20th ACM Conference on Information and Knowledge Management, 2011, Glasgow, UK, Oct. 2011.(Best Paper Award) 

[79].     Xiaohui Yan, Jiafeng Guo and Xueqi Cheng. Context-Aware query recommendation by learning high-order relationship in query logs. Proceedings of The 20th ACM Conference on Information and Knowledge Management, 2011. 

[80].     Pan Du, Jiafeng Guo and Xueqi Cheng. Decayed DivRank: Capturing Relevance, Diversity and Prestige in Information Networks. Proceedings of the 34th International ACM SIGIR Conference, Beijing, 2011. 

[81].     Pan Du, Jiafeng Guo and Xueqi Cheng. Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization. ICDM, 2011. 

[82].     Chao He, Xueqi Cheng, Jiafeng Guo and Huawei Shen. Multi-Select Faceted Navigation based on Minimum Description Length Principle. Proceedings of the 22rd International Joint Conference on Artificial Intelligence, Barcelona, 2011. 

[83].     Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du and Huawei Shen. A Unified Framework for Recommending Diverse and Relevant Queries. Proceedings of the 20th ACM International World Wide Web Conference, Hyderabad, India, 2011. 

[84].     Lu Bai, Jiafeng Guo and Xueqi Cheng. Query Recommendation by Modelling the Query-Flow Graph. AIRS, 2011. 

知识计算与自然语言处理

[85].       Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi ChengDocument Embedding Enhanced Event Detectionwith Hierarchical and Supervised Attention,ACL2018.

[86].     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), Volume 8, Issue 3, Article 41, 2017, pp. 41:1-41:26.

[87].       Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng, Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach, IEEE Transactions on Computational Social Systems, vol. 4, no. 3, pp. 80-92, 2017; 

[88].       贾岩涛、王元卓、林海伦、靳小龙、程学旗, Locally adaptive translation for knowledge graph embedding992-998,AAAI2016

[89].       贾岩涛、王元卓、靳小龙、程学旗,Location Prediction: A Temporal-Spatial Bayesian ModelACM TIST       Vol 7, issue 3, article 31,2016,1-25。(SCI IF=2.4

[90].       李曼玲、贾岩涛、王元卓、赵泽亚、程学旗, Predicting Links and Their Building Time: A Path-based Approach,AAAI2016,4228-4229.

[91].        Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Xueqi Cheng, Weiping Wang, Dan Meng. An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Analysis. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015.

[92].        Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Xueqi Cheng, Weiping Wang, Dan Meng. An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Analysis. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Accepted, 2015.

[93].     Zheng Lin, Xiaolong Jin, Xueke Xu, Weiping Wang, Xueqi Cheng, Yuanzhuo Wang. A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), pp. 1089-1098, November 2014, Shanghai, China. 

[94].     Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. Identifying interaction groups in social network using a game-theoretic approach. Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2014), August 2014, Warsaw, Poland. 

[95].     Zheng Lin, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, Make It Possible: Multilingual Sentiment Analysis without Much Prior Knowledge. Proceedings of the 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT 2014), August 2014, Warsaw, Poland. 

[96].     Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. Social Evolutionary Games. Proceedings of the 5th International Conference on Game Theory for Networks (GameNets 2014), Beijing, China. 

[97].     Yuanzhuo Wang, Jingyuan Li, Kun Meng, Chuang Lin and Xueqi Cheng. Modeling and security analysis of enterprise network using attack-defense stochastic game Petri nets. Security and Communication Networks, 2013. 

[98].     Lejun Fan, Yuanzhuo Wang, Xiaolong Jin, Jingyuan Li, Xueqi Cheng and Shuyuan Jin. Comprehensive Quantitative Analysis on Privacy Leak Behavior. PLoS ONE, 2013. 

[99].     Zheng Lin, Songbo Tan, Yue Liu, Xueqi Cheng and Xueke Xu. Cross-Language Opinion Lexicon Extraction Using Mutual-Reinforcement Label Propagation. PLoS ONE, 2013. 

[100].  Yantao Jia, Yuanzhuo Wang, Jingyuan Li, Kai Feng, Xueqi Cheng and Jianchen Li. Structural-interaction link prediction in microblogs. WWW, 2013. 

[101].  Yuanzhuo Wang, Jingyuan Li, Kun Meng, Chuang Li and Xueqi Cheng. Modeling and Security Analysis of Network Using Attack-defence Stochastic Game Net. Security and Communication Networks, 2012. 

[102].  Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li and Shuyuan Jin. Privacy Theft Malware Multi-Process Collaboration Analysis. Security Communication and Network, 2012. 

[103].  Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin and Jiafeng Guo. Find My Opinion Sources in Blogosphere: A Unified Framework for Opinionated Blog Feed Retrieval. WSDM 2012. 

[104].  Zheng Lin, Songbo Tan, Xueqi Cheng, Xueke Xu and Weisong Shi. Effective and Efficient? Bilingual Sentiment Lexicon Extraction using Collocation Alignment. CIKM, 2012. 

[105].  Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng and Zheng Lin. Towards jointly extracting aspects and aspect-specific sentiment knowledge. CIKM, 2012. 

[106].  Lejun Fan, Yuanzhuo Wang, Xueqi Cheng and Jinming Li. Analyzing Application Private Information Leaks With Privacy Petri Net. in the 17th IEEE Symposium on Computers and Communication (ISCC 2012). Pages 370-375. July 1-4, 2012. 

[107].  Lejun Fan, Yuanzhuo Wang, Xueqi Cheng and Shuyuan Jin. Privacy Theft Malware Detection with Privacy Petri Net. In the 13th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). Dec 14-16, 2012. 

[108].  Zheng Lin, Songbo Tan and Xueqi Cheng. Language-independent sentiment classification using three common words. CIKM, 2011. 

[109].  Xueke Xu, Tao Meng, Xueqi Cheng and Yue Liu. A probabilistic model for opinionated blog feed retrieval. WWW, 2011. 

[110].  Zheng Lin, Songbo Tan and Xueqi Cheng. Using Key Sentence to Improve Sentiment Classification. AIRS, 2011.