World's Best Scientists 2026 revealed!

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Computer Science

D-Index
46
Citations
8881
World Ranking
6837
National Ranking
916

Overview

Huawei Shen is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on computer science with a significant emphasis on artificial intelligence. Over the course of their career, they have contributed to a diverse range of subfields including artificial intelligence, computer vision and pattern recognition, statistical and nonlinear physics, information systems, and management science and operations research.

Key topics in their research include:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Complex Network Analysis Techniques
  • Domain Adaptation and Few-Shot Learning
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Data Quality and Management

Their publication record includes papers in venues recognized for rigorous academic standards. Frequent venues for their work include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Representative recent papers authored by Huawei Shen include:

  • Beyond Low-frequency Information in Graph Convolutional Networks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Combating emerging financial risks in the big data era: A perspective review, 2021, Fundamental Research
  • Time Series Anomaly Detection With Adversarial Reconstruction Networks, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Slimmable Generative Adversarial Networks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

They have collaborated extensively with several co-authors, including:

  • Xueqi Cheng
  • Liang Pang
  • Qi Cao
  • Shenghua Liu
  • Shuchang Tao

Best Publications

  • Detect overlapping and hierarchical community structure in networks

    Huawei Shen;Xueqi Cheng;Kai Cai;Mao-Bin Hu

  • Beyond Low-frequency Information in Graph Convolutional Networks

    Deyu Bo;Xiao Wang;Chuan Shi;Huawei Shen

  • Cross-domain recommendation: an embedding and mapping approach

    Tong Man;Huawei Shen;Xiaolong Jin;Xueqi Cheng

  • Modeling and predicting popularity dynamics via reinforced Poisson processes

    Huawei Shen;Dashun Wang;Chaoming Song;Albert-László Barabási

  • Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

    Zixuan Li;Xiaolong Jin;Wei Li;Saiping Guan

  • DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

    Qi Cao;Huawei Shen;Keting Cen;Wentao Ouyang

  • Predict anchor links across social networks via an embedding approach

    Tong Man;Huawei Shen;Shenghua Liu;Xiaolong Jin

  • Collective credit allocation in science

    Hua-Wei Shen;Hua-Wei Shen;Albert-László Barabási

  • StaticGreedy: solving the scalability-accuracy dilemma in influence maximization

    Suqi Cheng;Huawei Shen;Junming Huang;Guoqing Zhang

  • Graph Wavelet Neural Network.

    Bingbing Xu;Huawei Shen;Qi Cao;Yunqi Qiu

  • Fast density clustering strategies based on the k-means algorithm

    Liang Bai;Liang Bai;Liang Bai;Xueqi Cheng;Jiye Liang;Huawei Shen

  • Popularity prediction in microblogging network: a case study on sina weibo

    Peng Bao;Hua-Wei Shen;Junming Huang;Xue-Qi Cheng

  • Quantifying and identifying the overlapping community structure in networks

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

  • Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

    Bingbing Xu;Huawei Shen;Qi Cao;Keting Cen

  • IMRank: influence maximization via finding self-consistent ranking

    Suqi Cheng;Huawei Shen;Junming Huang;Wei Chen

  • Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation

    Hao Wang;Huawei Shen;Wentao Ouyang;Xueqi Cheng

  • Popularity Prediction on Social Platforms with Coupled Graph Neural Networks

    Qi Cao;Huawei Shen;Jinhua Gao;Bingzheng Wei

  • Spectral methods for the detection of network community structure: a comparative analysis

    Hua-Wei Shen;Xue-Qi Cheng

  • Exploring social influence via posterior effect of word-of-mouth recommendations

    Junming Huang;Xue-Qi Cheng;Hua-Wei Shen;Tao Zhou

  • Signed Graph Attention Networks.

    Junjie Huang;Huawei Shen;Liang Hou;Xueqi Cheng

Frequent Co-Authors

Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Jiafeng Guo
Jiafeng Guo Chinese Academy of Sciences
Tao Zhou
Tao Zhou University of Electronic Science and Technology of China
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences
Albert-László Barabási
Albert-László Barabási Northeastern University
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Zi-Ke Zhang
Zi-Ke Zhang Zhejiang University
Li Xu
Li Xu Tsinghua University
Hao Wang
Hao Wang Swinburne University of Technology

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