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、互联网搜索与挖掘、网络信息安全、分布式系统与大型仿真平台

教育背景

   
学历

2000-09--2006-06 中科院计算所,计算机系统结构专业,工学博士学位
1993-09--1996-04 东北大学计算机系,计算机科学与理论专业,工学硕士学位
1989-09--1993-07 东北大学计算机系,计算机应用专业,工学学士学位

出国学习工作

1995 韩国浦项工大计算机系,访问学者
2004-11--2005-05 英国伦敦大学帝国理工学院计算机系,高级访问学者
2009-06--2009-07 瑞士弗里堡大学统计物理系,高级访问学者
2010-07--2010-08 英国伦敦艾塞克斯大学电子工程系,高级访问学者

工作经历

   
工作简历

2017-01--今 中科院计算所副所长,大数据分析系统国家工程实验室副主任

2014-01--今 中科院网络数据科学与技术重点实验室主任

2004-03--今 中科院计算所 研究员,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(2012至今)
[2] 中国中文信息学会信息检索与内容安全专委会,常务副主任(2004年至今)
[3] 中国中文信息学会社会媒体处理专业委员会(筹),副主任(2013年至今)
[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(2005.05至今) 
[6] 《Journal of Computer Science and Technology》、《计算机学报》、《计算机研究与发展》、《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(SIGIR,WWW,ICDM,IJCAI,CIKM,WSDM,ACL等)
[8] 担任10余个国际学术刊物审稿人(IEEE TC,IEEE TKDE,IEEE TPDS,ACM TOIS,ACM TKDD,Expert 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

奖励信息


国家科技进步奖 

 [1] 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
 [2] 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

 [3]2016年 中国电子学会科学技术奖一等奖,排名第二

 [4]2015年 北京市科学技术奖二等奖,排名第一

 [5]2014年   中国电子学会科学技术奖二等奖,排名第一
 [6]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
 [7] 2011年 中国电子学会电子信息科学技术一等奖,排名第一
 [8] 2001年 中国科学院科技进步二等奖,排名第三 

其他奖励 

 [9] 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)
 [10] 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)
 [11] 2011年 第十二届中国青年科技奖
 [12] 2011年 中国科学院青年科学家奖
 [13] 2010年 中国计算机学会(CCF)青年科学家奖
[14] 2010年 国务院政府特殊津贴
[15] 2010年 钱伟长中文信息处理科学技术奖一等奖
[16] 2008年 第十一届茅以升北京青年科技奖
[17] 2008年 “中创”软件人才奖
[18] 2007年 中科院优秀博士论文
[19] 2000年 中国科学院优秀青年学者奖(盈科奖)
[20] 2000年 “九五”国家科技攻关先进个人

出版信息

2017年

[1].    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, Perth, Australia.

[2].     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.

[3].     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.

[4].    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)

[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].    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


2016年

[1]      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. (SCI IF = 2.476, CCF推荐A类期刊)

[2]      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

[3]      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

[4]      王永庆,沈华伟,程学旗. 预测信息传播中的转发选择. 中国中文信息学报. 30(5): 57-64, 2016.

[5]      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.

[6]  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.

[7]  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.(没署实验室)

[8]  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.

[9]  刘雅辉, 靳小龙, 沈华伟, 程学旗. 社交媒体中的谣言识别研究及其发展趋势. 中国人工智能学会通讯, 6(3): 18-22, 2016.

[10]  刘盛华, 程学旗. 社会媒体情感分析:观点、用户、行为. 中国人工智能学会通讯, 6(3): 12-17, 2016.

[11]  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推荐A类会议)

[12]  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推荐A类会议poster

[13]  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)

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

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

[16] 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

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

[18] 孙飞,郭嘉丰,兰艳艳,徐君,程学旗,分布式单词表示综述,计算机学报(未发表)

[19] 王鹏飞,郭嘉丰,兰艳艳,晏小辉,程学旗,基于概率交易模型的线下百货推荐,中文信息学报,2016Vol305):73-79

[20] 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.

[21] 范意兴,郭嘉丰,兰艳艳,徐君,程学旗,基于上下文的深度语义句子检索模型,CCIR 2016

[22] 庞亮, 兰艳艳, 徐君, 郭嘉丰, 万圣贤, 程学旗, 深度文本匹配综述,计算机学报, 2016

知识网格组:

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

[24] 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

[25] 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.

[26] 薛源海,俞晓明, , ,程学旗,基于查询性能预测的鲁棒检索排序研究, 中文信息学报,3052016,169-175.

[27] 苟程成,杜攀,刘悦,程学旗,在线社交网络中的新兴话题检测技术总数,中文信息学报,2016vol.30(5):9-18.


2015年
[1]Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Jun Xu, A Probabilistic Model for Bursty Topic Discovery in Microblogs, Proceedings of the 29th Conference on Artificial Intelligence 2015 (AAAI2015), Austin Texas, USA.
[2]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Lei Yu, Guoping Long, Xueqi Cheng, Listwise Approach for Rank Aggregation in Crowdsourcing, Proceedings of the 8th International conference on Web Search and Data Mining (WSDM’15), Shanghai, China.

2014年
[1]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.
[2]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.
[3]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.
[4]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.
[5]Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo, BTM: Topic Modeling over Short Texts, IEEE Transactions on Knowledge and Data Engineering, 2014.
[6]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.
[7]Xiao-Qian Sun, Hua-Wei Shen, Xue-Qi Cheng. Trading network predicts stock price. Scientific Reports, 4: 3711, 2014.
Bing-Jie Sun, Hua-Wei Shen, Xue-Qi Cheng. Detecting overlapping communities in massive networks. EPL 108(6):68001, 2014.
[8]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.
[9]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.
[10]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.
[11]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.
[12]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.
[13]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.
[14]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.


2013年

 [1] Xueqi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu and Yixin Chen. Ranking on Data Manifold with Sink Points. IEEE TKDE, 2013.
 [2] 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.
 [3] 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.
 [4] 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.
 [5] Lejun Fan, Yuanzhuo Wang, Xiaolong Jin, Jingyuan Li, Xueqi Cheng and Shuyuan Jin. Comprehensive Quantitative Analysis on Privacy Leak Behavior. PLoS ONE, 2013.
 [6] Zheng Lin, Songbo Tan, Yue Liu, Xueqi Cheng and Xueke Xu. Cross-Language Opinion Lexicon Extraction Using Mutual-Reinforcement Label Propagation. PLoS ONE, 2013.
 [7] Peng Bao, Huawei Shen, Wei Chen and Xueqi Cheng. Cumulative Effect in Information Diffusion: Empirical Study on a Microblogging Network. PLoS ONE, 2013.
 [8] Xiaohui Yan, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. A Biterm Topic Model for Short Texts. WWW, 2013.
 [9] 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.
[10] Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang and Xueqi Cheng. StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. CIKM, 2013.
[11] Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng and Huawei Shen. Adaptive co-training SVM for sentiment classification on tweets. CIKM, 2013.
[12] Yanyan Lan, Shuzi Niu, Jiafeng Guo and Xueqi Cheng. Is top-k sufficient for ranking?. CIKM, 2013.
[13] Shuzi Niu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng. Stochastic Rank Aggregation. UAI, 2013.
[14] 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.
[15] Lu Bai, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. Group Sparse Topical Coding: From Code to Topic. WSDM, 2013.
[16] Peng Bao, Huawei Shen, Junming Huang and Xueqi Cheng. Popularity prediction in microblogging network: a case study on sina weibo. WWW, 2013.
[17] 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.
[18] Yantao Jia, Yuanzhuo Wang, Jingyuan Li, Kai Feng, Xueqi Cheng and Jianchen Li. Structural-interaction link prediction in microblogs. WWW, 2013.
[19] Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan and Xueqi Cheng. Informational friend recommendation in social media. SIGIR, 2013.
[20] Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin and Xueqi Cheng. Collaborative factorization for recommender systems. SIGIR, 2013. 

2012年 

[21] Xiaoqian Sun, Huawei Shen, Xueqi Cheng and Zhaoyang Wang. Degree strength correlation reveals anomalous trading behavior. PLoS ONE, 2012.
[22] Tieying Zhang, Xueqi Cheng, Jianming Lv, Zhenhua Li and Wiesong Shi. Providing Hierarchical Lookup Service for P2P-VoD Systems, ACM Transactions on Multimedia Computing, Communications and Applications, 2012.
[23] Fu-Xin Ren, Hua-Wei Shen, Xue-Qi Cheng. Modeling the clustering in citation networks. Physica A, 391(12): 3533-3539, 2012.
[24] 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.
[25] Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li and Shuyuan Jin. Privacy Theft Malware Multi-Process Collaboration Analysis. Security Communication and Network, 2012.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] Zheng Lin, Songbo Tan, Xueqi Cheng, Xueke Xu and Weisong Shi. Effective and Efficient? Bilingual Sentiment Lexicon Extraction using Collocation Alignment. CIKM, 2012.
[33] Shuzi Niu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng. A New Probabilistic Model for Top-k Ranking Problem. CIKM, 2012.
[34] Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng and Zheng Lin. Towards jointly extracting aspects and aspect-specific sentiment knowledge. CIKM, 2012.
[35] 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.
[36] 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.
[37] 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. 

2011年 

[38] 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.
[39] Huawei Shen, Xueqi Cheng and Jiafeng Guo, Exploring the structural regularities in networks. Physical Review E, 2011.
[40] Pan Du, Jiafeng Guo and Xueqi Cheng. Update Summarization based on Heat Diffusion Process. Pattern Recognition and Machine Learning, 2011.
[41] 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)
[42] 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.
[43] 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.
[44] Pan Du, Jiafeng Guo and Xueqi Cheng. Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization. ICDM, 2011.
[45] 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.
[46] 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.
[47] Zheng Lin, Songbo Tan and Xueqi Cheng. Language-independent sentiment classification using three common words. CIKM, 2011.
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[50] Zheng Lin, Songbo Tan and Xueqi Cheng. Using Key Sentence to Improve Sentiment Classification. AIRS, 2011.
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科研项目

[1] 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
[2] 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
[3] 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
[4] 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
[5] 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
[6] 国家973项目 大规模文本内容计算 2004.09-2009.08 课题负责人
[7] 国家973项目 文本挖掘与知识检索 1998.09-2003.12 课题负责人
[8] 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

合作情况

   
项目协作单位

科技部、工业和信息化部、腾讯、微软中国等