World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10474
World Ranking
7458
National Ranking
983

Overview

Li Guo is affiliated with the Chinese Academy of Sciences in China. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on Electrical and Electronic Engineering and Artificial Intelligence. Other subfields include Aerospace Engineering, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Their main research topics encompass various advanced technological areas, such as:

  • Advanced Wireless Communication Technologies
  • Advanced Topics in Algebra
  • Satellite Communication Systems
  • Algebraic structures and combinatorial models
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Optical Wireless Communication Technologies

Li Guo has contributed to multiple recent publications in high-impact venues. Notable papers include:

  • Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications, 2021, arXiv (Cornell University)
  • Accelerating eye movement research via accurate and affordable smartphone eye tracking, 2020, Nature Communications
  • Capacity and Optimal Resource Allocation for IRS-Assisted Multi-User Communication Systems, 2021, IEEE Transactions on Communications
  • NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems, 2022, IEEE Journal on Selected Areas in Communications
  • Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme, 2022, IEEE Journal on Selected Areas in Communications

Frequent co-authors collaborating with Li Guo include:

  • Xidong Mu
  • Shibiao Xu
  • Yuanwei Liu
  • Ao Huang
  • Guangyu Zhu

The scientist's work appears regularly in the following publication venues, indicating the channels through which their research is disseminated:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Vehicular Technology

Li Guo's research integrates principles from electrical engineering and computer science to address challenges in wireless communication systems, resource allocation, semantic communication, and eye tracking methodologies. Their contributions span both theoretical aspects, such as algebraic models and graph neural networks, and applied areas involving communication technologies and sensing techniques.

Best Publications

  • Knowledge Graph Embedding: A Survey of Approaches and Applications

    Quan Wang;Zhendong Mao;Bin Wang;Li Guo

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications

    Xidong Mu;Yuanwei Liu;Li Guo;Jiaru Lin

  • Knowledge Graph Embedding with Iterative Guidance from Soft Rules

    Unknown

  • Jointly Embedding Knowledge Graphs and Logical Rules

    Shu Guo;Quan Wang;Lihong Wang;Bin Wang

  • DAN: Deep Attention Neural Network for News Recommendation

    Qiannan Zhu;Xiaofei Zhou;Zeliang Song;Jianlong Tan

  • Survey and taxonomy of feature selection algorithms in intrusion detection system

    You Chen;Yang Li;Xue-Qi Cheng;Li Guo

  • An active learning based TCM-KNN algorithm for supervised network intrusion detection

    Unknown

  • A semantics aware approach to automated reverse engineering unknown protocols

    Yipeng Wang;Xiaochun Yun;M. Zubair Shafiq;Liyan Wang

  • Improving Knowledge Graph Embedding Using Simple Constraints

    Unknown

  • Meso-scale oriented simulation towards virtual process engineering (VPE)-The EMMS Paradigm

    Wei Ge;Wei Wang;Ning Yang;Jinghai Li

  • Semantically Smooth Knowledge Graph Embedding

    Shu Guo;Quan Wang;Bin Wang;Lihong Wang

  • Knowledge base completion using embeddings and rules

    Unknown

  • Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.

    Qiannan Zhu;Xiaofei Zhou;Jia Wu;Jianlong Tan

  • Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme

    Unknown

  • Capacity and Optimal Resource Allocation for IRS-Assisted Multi-User Communication Systems

    Xidong Mu;Yuanwei Liu;Li Guo;Jiaru Lin

  • Pyrolysis simulations of Fugu coal by large-scale ReaxFF molecular dynamics

    Mingjie Gao;Xiaoxia Li;Li Guo

  • Robust ensemble learning for mining noisy data streams

    Peng Zhang;Xingquan Zhu;Yong Shi;Li Guo

  • On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization

    Chuan Zhou;Peng Zhang;Wenyu Zang;Li Guo

  • Personalized influence maximization on social networks

    Jing Guo;Peng Zhang;Chuan Zhou;Yanan Cao

  • Algorithms of GPU-enabled reactive force field (ReaxFF) molecular dynamics.

    Mo Zheng;Xiaoxia Li;Li Guo

  • Inferring Protocol State Machine from Network Traces: A Probabilistic Approach

    Unknown

  • Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams

    Peng Zhang;Xingquan Zhu;Jianlong Tan;Li Guo

  • NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems.

    Xidong Mu;Yuanwei Liu;Li Guo;Jiaru Lin

  • A relation-specific attention network for joint entity and relation extraction

    Yue Yuan;Xiaofei Zhou;Shirui Pan;Qiannan Zhu

  • NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

    Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang

  • Network anomaly detection based on TCM-KNN algorithm

    Yang Li;Binxing Fang;Li Guo;You Chen

  • Mining Data Streams with Labeled and Unlabeled Training Examples

    Peng Zhang;Xingquan Zhu;Li Guo

  • Combining heterogenous social and geographical information for event recommendation

    Zhi Qiao;Peng Zhang;Yanan Cao;Chuan Zhou

  • Reaction analysis and visualization of ReaxFF molecular dynamics simulations.

    Jian Liu;Xiaoxia Li;Li Guo;Mo Zheng

  • UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks

    Chuan Zhou;Peng Zhang;Jing Guo;Xingquan Zhu

Frequent Co-Authors

Peng Zhang
Peng Zhang Huazhong University of Science and Technology
Wei Ge
Wei Ge Chinese Academy of Sciences
Jinghai Li
Jinghai Li Chinese Academy of Sciences
Jia Wu
Jia Wu Macquarie University
Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Weida Tong
Weida Tong National Center for Toxicological Research
Hong Fang
Hong Fang National Center for Toxicological Research
Min Zhang
Min Zhang Jiangnan University
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock

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