World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
12892
World Ranking
4066
National Ranking
538

Overview

Jiafeng Guo is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and its applications.

Their research spans various subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Management Science and Operations Research
  • Statistical and Nonlinear Physics

Guo's main topics of work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Graph Neural Networks
  • Advanced Image and Video Retrieval Techniques
  • Adversarial Robustness in Machine Learning
  • Information Retrieval and Search Behavior

Their recent publications demonstrate a focus on combining advanced machine learning methods with practical applications in natural language processing and information retrieval. Selected papers include:

  • GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification (2021, Expert Systems with Applications)
  • A Review on Question Generation from Natural Language Text (2021, ACM Transactions on Information Systems)
  • Information Retrieval meets Large Language Models: A strategic report from Chinese IR community (2023, AI Open)
  • What is Event Knowledge Graph: A Survey (2022, IEEE Transactions on Knowledge and Data Engineering)
  • Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining)

Guo's frequent co-authors reflect collaborations with well-known researchers in the field, including:

  • Xueqi Cheng
  • Ruqing Zhang
  • Yixing Fan
  • Maarten de Rijke
  • Xiaolong Jin

The scientist has published numerous articles in various notable venues, with the highest number of publications in:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Expert Systems with Applications

Best Publications

  • A biterm topic model for short texts

    Xiaohui Yan;Jiafeng Guo;Yanyan Lan;Xueqi Cheng

  • A Deep Relevance Matching Model for Ad-hoc Retrieval

    Jiafeng Guo;Yixing Fan;Qingyao Ai;W. Bruce Croft

  • BTM: Topic Modeling over Short Texts

    Xueqi Cheng;Xiaohui Yan;Yanyan Lan;Jiafeng Guo

  • Text matching as image recognition

    Liang Pang;Yanyan Lan;Jiafeng Guo;Jun Xu

  • Named entity recognition in query

    Jiafeng Guo;Gu Xu;Xueqi Cheng;Hang Li

  • Learning Hierarchical Representation Model for NextBasket Recommendation

    Pengfei Wang;Jiafeng Guo;Yanyan Lan;Jun Xu

  • A Deep Look into neural ranking models for information retrieval

    Jiafeng Guo;Yixing Fan;Liang Pang;Liu Yang

  • A deep architecture for semantic matching with multiple positional sentence representations

    Shengxian Wan;Yanyan Lan;Jiafeng Guo;Jun Xu

  • DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

    Liang Pang;Yanyan Lan;Jiafeng Guo;Jun Xu

  • Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

    Zixuan Li;Xiaolong Jin;Wei Li;Saiping Guan

  • Learning a Deep Listwise Context Model for Ranking Refinement

    Qingyao Ai;Keping Bi;Jiafeng Guo;W. Bruce Croft

  • Optimizing Dense Retrieval Model Training with Hard Negatives

    Jingtao Zhan;Jiaxin Mao;Yiqun Liu;Jiafeng Guo

  • aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model

    Liu Yang;Qingyao Ai;Jiafeng Guo;W. Bruce Croft

  • Unbiased Learning to Rank with Unbiased Propensity Estimation

    Qingyao Ai;Keping Bi;Cheng Luo;Jiafeng Guo

  • Quantifying and identifying the overlapping community structure in networks

    Hua-Wei Shen;Xue-Qi Cheng;Jia-Feng Guo

  • A unified and discriminative model for query refinement

    Jiafeng Guo;Gu Xu;Hang Li;Xueqi Cheng

  • Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

    Liu Yang;Minghui Qiu;Chen Qu;Jiafeng Guo

  • Event Detection with Multi-Order Graph Convolution and Aggregated Attention

    Haoran Yan;Xiaolong Jin;Xiangbin Meng;Jiafeng Guo

  • Match-SRNN: modeling the recursive matching structure with spatial RNN

    Shengxian Wan;Yanyan Lan;Jun Xu;Jiafeng Guo

  • Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix

    Xueqi Cheng;Jiafeng Guo;Shenghua Liu;Yanfeng Wang

Frequent Co-Authors

Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences
Jun Xu
Jun Xu Renmin University of China
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Huawei Shen
Huawei Shen Chinese Academy of Sciences
Fei Sun
Fei Sun Institute Of Computing Technology
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Nick Craswell
Nick Craswell Microsoft (United States)
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)

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