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Yan Zhang

Time:2019-04-12    Click:
职称 Professor 研究领域 Information Retrieval, Data Mining.
办公电话 86-10-6275 5592 电子邮件 zhy@cis.pku.edu.cn
分工 办公地点

张岩

职称:教授

研究所:信息科学中心

研究领域:信息检索,数据挖掘

办公电话:86-10-6275 5592

电子邮件:zhy@cis.pku.edu.cn

个人主页:https://sai.pku.edu.cn/znxyenglish/info/1362/2658.htm

主要研究领域

信息检索,数据挖掘,大数据分析,网络科学

代表性学术论著

Tianshu Lyu, Yuan Zhang and Yan Zhang. Enhancing the Network Embedding Quality with Structural Similarity. CIKM 2017, Singapore. November 6-10, 2017

Yuan Zhang, Tianshu Lyu and Yan Zhang. Hierarchical Community-Level Information Diffusion Modeling in Social Networks. SIGIR 2017, Tokyo, Japan. August 7-11, 2017

Tianshu Lyu, Lidong Bing, Zhao Zhang, and Yan Zhang. Efficient and Scalable Detection of Overlapping Communities in Big Networks. ICDM 2016, Barcelona, Spain. December 12-15, 2016

Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel. Adaptive Concept Resolution for Document Representation and Its Applications in Text Mining. Knowledge-Based Systems, 74:1-13, January 2015

Shi Zhao and Yan Zhang. Tailor Knowledge Graph for Query Understanding: Linking Intent Topics by Propagation. EMNLP 2014, Doha, Qatar. October 25-29, 2014Shize Xu, Shanshan Wang, and Yan Zhang. Summarizing Complex Events: a Cross-modal Solution of Storylines Extraction and Reconstruction. EMNLP 2013, Seattle, USA. October 18–21, 2013

Rui Yan, Congrui Huang, Jie Tang, Yan Zhang, and Xiaoming Li. To Better Stand on the Shoulder of Giants. JCDL 2012, Washington, DC, USA, June 10-14, 2012 (Nominated as best student paper)

Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, and Wai Lam. Ontology Enhancement and Concept Granularity Learning: Keeping Yourself Current and Adaptive. KDD 2011, San Diego, USA. August 21-24, 2011

Rui Yan, Xiaojun Wan, Jahna Otterbacher, Liang Kong, Xiaoming Li, and Yan Zhang. Evolutionary Timeline Summarization: a Balanced Optimization Framework via Iterative Substitution. ACM SIGIR 2011, Beijing,China. July 24-28, 2011

Zhifeng Chen, Yan Zhang, Yuanyuan Zhou, Heidi Scott, Berni Schiefer: Empirical Evaluation of Multi-level Buffer Cache Collaboration for Storage Systems. SIGMETRICS 2005, Banff, Canada. June 06-10, 2005

蒋卓轩,张岩,李晓明. 基于MOOC数据的学习行为分析与预测. 《计算机研究与发展》2015年第3期 (入选“第二届中国科协优秀科技论文”)

主要科研项目

国家自然科学基金重点项目“面向课程的大规模在线教育资源组织与持续优化的理论与方法”(负责人),2016/01-2020/12

973课题“网络大数据模式发现与效应分析方法研究”(课题执行负责人),2014/01-2018/12

国家自然科学基金项目“大型语义辞典的自动生成及在文本分析中的应用”(负责人),2014/01-2017/12

国家自然科学基金项目“基于Web的热点事件检索和分析系统相关技术研究”(负责人),2011-2013

主要学术服务

CCF数据库专委会委员

NSFC、MOE-RCOE项目评议人

《数据挖掘与知识发现》编委

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