Jiafeng Guo



CAS Key Lab of Web Data Science and Technology

Institute of Computing Technology (ICT)

Chinese Academy of Sciences (CAS)

  • Email : guojiafeng@ict.ac.cn
  • Office: : (8610)62600982
  • Address : NO. 6 Kexueyuan South Road, Haidian District, Beijing, P.R.China, 100190
  • Biography
  • Publication
  • Funds
  • ToolKits & Demos
  • Students
  • Talks
  • Teach

Jiafeng Guo is currently a Professor in Institute of Computing Technology, Chinese Academy of Sciences, and University of Chinese Academy of Sciences. He received his B.E. in Computer Science and Technology from the University of Science and Technology of China, Hefei, China, in 2004 and earned his Ph.D. in Computer Software and Theory from the University of Chinese Academy of Sciences, Beijing, China, in 2009.

Dr. Guo has worked on a number of topics related to Web search and data mining, including query representation and understanding, learning to rank, and topic modeling. His current research is focused on representation learning and deep models for information retrieval and information filtering. He has won the Best Paper Award in ACM CIKM (2011) and Best Student Paper Award in ACM SIGIR (2012).

Open ToolKit for NeuIR
  • [Oct. 2017] I will be the Publicity Co-chair of ICTIR 2018
  • [Aug. 2017] I will co-organize the Neu-IR workshop on SIGIR 2017
  • [Nov. 2016] I will co-organize the AI forum on BDTC 2016
  • [Nov. 2016] I will give a tutorial on CCIR 2016 and ACML 2016
  • [Aug. 2016] I will co-organize the DSBDA workshop on ICDM 2016
  • [Apr. 2016] I will co-organize the Neu-IR workshop on SIGIR 2016
  • [Apr. 2016] Two papers are accepted by IJCAI 2016
  • [Mar. 2016] A long paper and a short paper are accepted by SIGIR 2016
Hornors and Awards
Academic Services
  • Chairs/Co-Chairs: Publicity Co-chair of ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR'18), Workshop Co-chair of the 8th ACM International WSDM Conference (WSDM'15), Co-chair of the 20th China Conference on Information Retrieval Young Scholar Forum (CCIR'14-CCIR'16)
  • Secretary-General: Information Retrieval Technical Committee,Chinese Information Processing Society of China
  • PC Member: SIGIR2017, AAAI2017, WSDM2017, EMNLP2017, CIKM2017, ACML2017, SIGIR 2016, CIKM 2016, WSDM 2016, EMNLP 2016, ACML 2016, ICTIR 2016, IJCAI 2015, ACL 2014, WSDM 2014, CIKM 2013, ICDM 2013, WSDM 2013, ACL 2013, WSDM 2012, CIKM 2012, SIGIR 2012, ACL 2012
  • Reviewer: IEEE TKDE, ACM TOIS, ACM TKDD, Information Retrieval Journal (IRJ), Neurocomputing, International Journal of Machine Learning and Cybernetics (JMLC)

  • Jiafeng Guo, Gu Xu, Hang Li, and Xueqi Cheng, A unified and discriminative model for query refinement, Proceedings of the 32nd Annual ACM SIGIR conference, 2008, 379-386. (SIGIR 2008) [slides]
  • Gang Zhang, Yue Liu, Jiafeng Guo, and Xueqi Cheng, A Hierarchical Search Result Clustering Method, In Journal of Computer Research and Development,45(03):542-547, 2008
  • Jiafeng Guo, Lin Ding, Gang Zhang, Yue Liu, Xueqi Cheng: PSM: A New Re-Ranking Algorithm for Named-Page. In Proceedings of the Fifteenth Text REtrieval Conference, 2006 (TREC 2006)
  • Jiafeng Guo, Xinming Zhang, Fei Xie, and Guoliang Chen, A Leisure Degree Adaptive Routing Protocol for Mobile Ad Hoc Network, In Journal of Software, 2005, 16(05): 960-969.
  • Fei Xie, Xinming Zhang, Jiafeng Guo, and Guoliang Chen, A Delay Oriented Adaptive Routing Protocol for Mobile Ad hoc Networks, In Journal of Software, 2005, 16(09): 1661-1667.
NSFC Funding
  • Information Retrieval and Evaluation (Grant No. 61722211) (2018.01-2020.12)
  • User Profiling and Personlized Recommendation based on big Transactional Data (Grant No. 61472401) (2015.01-2018.12)
  • Recommendation Technology based on Large Scale User Data (Grant No. 61003166) (2011.01-2013.12)
  • Online Social Relational Network Mining and Analysis (participation) (2013.01-2017.12)
973 Funding
  • Fundamental Theories and Applications of Web Big Data (participation) (2014.01-2018.12)

MatchingZoom is a toolkit for text matching. It was developed with a focus on facilitate the designing, comparing and sharing of deep text matching models. The architecture of the MatchZoo toolit is depicited in Figure. There are three major modules in the toolkit, namely data preparation, model construction, training and evaluation, respectively. These three modules are actually organized as a pipeline of data flow.


Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. MatchZoo: A Toolkit for Deep Text Matching. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval, Tokyo, 2017.

Social Scholar (http://soscholar.com)

A vertical social network platform for academia. The system aims to introduce collaboration into academic search, mining and analysis tasks. Supported by CAS-ICT innovation project.

Academic Universe (http://soscholar.com/universe)

A platform for fast exploring linked academic objects. The system provides users with a single-page view of multiple academic objects, and allows users to easily explore the academic data by filtering different aspects.

The Academic Benchmark is designed to facilitate research in computer science (CS). The major purpose is to change the situation in CS where most published methods are difficult to compare with due to the lack of public dataset, open codes, or clear experimental settings. Therefore, in this website, we not only report the performances of state-of-the-art algorithms in different domains, but also collect the corresponding datasets, codes, and scripts that can make the experimental results reproducible. When developing new methods in these domain, researchers can simply take-away and compare with all the available baseline methods. In this way, we can help researchers spend less time on duplicated efforts, and focus more on new ideas.

Current students under my supervision
  • Yixing Fan (Ph.D.)
  • Ruqing Zhang (Ph.D.)
  • Lixin Su (Ph.D.)
  • Liang Pang (Ph.D., co-advisor)
  • Long Xia (Ph.D., co-advisor)
  • Hainan Zhang (Ph.D., co-advisor)
  • Wei Zeng (Ph.D., co-advisor)
  • Jianing Li (Ph.D., co-advisor)
  • Yan Xiao (Master)
  • Zizhen Wang (Master)
Graduated students under my supervision
  • Fei Sun (Ph.D., now working at Alibaba)
  • Pengfei Wang (Ph.D., now working at BUPT)
  • Shengxian Wan (Ph.D., now working at Baidu)
  • Shuzi Niu (Ph.D., now working at CAS-IS)
  • Yadong Zhu (Ph.D., now working at Taobao)
  • Lu Bai (Ph.D., now working at Jingdong)
  • Xiaofei Zhu (Ph.D., now working at Chongqing University of Technology)
  • Xiubo Geng (Ph.D., now working at Yahoo)
  • Xiaohui Yan (Ph.D., now working at DiDi Research Lab)
  • Pan Du (Ph.D., now working at CAS-ICT)
  • Lei Cao (Ph.D., now working at CAS-ICT)
  • Chao He (Ph.D., now working at Changzhou Science and Technology Park)
  • Jianguo Wang (Ph.D., now at CAS-SIAT)
  • Tianyou Guo (Master)
  • Yan Gao (Master, now working at MSRA)
  • Fuxin Li (Master)
  • Li Li (Master)
  • Xiao Han (Master, now working at Google)
  • Huan Xue (Master, now working at Youdao)
  • Xiaolin Zhang (Master, now working at CCB)
  • Zhongxiang Chen (Master, now working at startup)
Previously Collaborated Students
  • Qian Guo (Ph.D. candidate, co-advisor)
  • Yaogong Zhang (Ph.D. intern, co-advisor)
  • Chaosheng Fan (Ph.D. intern, co-advisor)
  • Zhenhong Chen (Master, co-advisor)
  • Bohan Li (Undergraduate intern)
  • Chunyao Zhang (Undergraduate intern)
  • Jiafeng Guo, Yanyan Lan, Deep Approaches to Semantic Matching for Texts, ACML 2016 Tutorial, Hamilton, New Zealand [Part I Part II]
  • Jiafeng Guo, Jun Xu, Deep Semantic Matching for Texts, CCIR 2016 Tutorial, Guang Zhou, China [Part I Part II]
  • Jiafeng Guo, Top Conference Review--WSDM 2016, CCIR 2016 Tutorial, Guang Zhou, China [pdf]
  • "Pattern Recognition and Machine Learning", (Fall 2017, 091M4042H)
  • "Pattern Recognition and Machine Learning", (Fall 2016, 091M4042H)