World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6378
World Ranking
11153
National Ranking
1370

Overview

Bin Wu is affiliated with Beijing University of Posts and Telecommunications in China. Their research output primarily focuses on computer science, with a strong emphasis on artificial intelligence, computer vision and pattern recognition, statistical and nonlinear physics, sociology and political science, and information systems.

The scientist's recent papers reflect an engagement with advanced machine learning techniques applied to complex problems such as fake news detection and population dynamics. Selected recent publications include:

  • A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks (2020), published in Information Processing & Management
  • Temporally evolving graph neural network for fake news detection (2021), published in Information Processing & Management
  • Aspiration dynamics generate robust predictions in heterogeneous populations (2021), published in Nature Communications
  • Dynamic graph neural network for fake news detection (2022), published in Neurocomputing
  • Knowledge augmented transformer for adversarial multidomain multiclassification multimodal fake news detection (2021), published in Neurocomputing

Bin Wu collaborates frequently with several researchers including Jiehu Kang, Luyuan Feng, Chenguang Song, Nianwen Ning, and Zefeng Sun. This collaboration reflects a networked approach to their research, incorporating diverse expertise.

Their publications appear most commonly in venues such as arXiv (Cornell University), Applied Optics, SSRN Electronic Journal, Information Processing & Management, and Neurocomputing. These journals and repositories highlight Bin Wu's interdisciplinary reach and engagement with both theoretical and applied research communities.

Their work spans various topics within computer science and beyond, notably:

  • Complex Network Analysis Techniques
  • Evolutionary Game Theory and Cooperation
  • Opinion Dynamics and Social Influence
  • Optical measurement and interference techniques
  • Evolution and Genetic Dynamics
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques

This wide range of topics indicates an interest in both computational methods and their applications to understanding social, biological, and physical systems. Bin Wu's research incorporates state-of-the-art neural network architectures, graph-based modeling, and evolutionary dynamics, reflecting cross-disciplinary expertise.

Best Publications

  • HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

    Chuan Shi;Xiangnan Kong;Yue Huang;Philip S. Yu

  • Community detection in large-scale social networks

    Nan Du;Bin Wu;Xin Pei;Bai Wang

  • Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks

    Chuan Shi;Zhiqiang Zhang;Ping Luo;Philip S. Yu

  • Multi-objective community detection in complex networks

    Chuan Shi;Zhenyu Yan;Yanan Cai;Bin Wu

  • A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks

    Chenguang Song;Nianwen Ning;Yunlei Zhang;Bin Wu

  • A link clustering based overlapping community detection algorithm

    Chuan Shi;Yanan Cai;Di Fu;Yuxiao Dong

  • Network Intrusion Detection Based on Supervised Adversarial Variational Auto-Encoder With Regularization

    Yanqing Yang;Kangfeng Zheng;Bin Wu;Yixian Yang

  • Temporally evolving graph neural network for fake news detection

    Chenguang Song;Kai Shu;Bin Wu

  • Relevance search in heterogeneous networks

    Chuan Shi;Xiangnan Kong;Philip S. Yu;Sihong Xie

  • The improvement of glowworm swarm optimization for continuous optimization problems

    Bin Wu;Cunhua Qian;Weihong Ni;Shuhai Fan

  • Mining program workflow from interleaved traces

    Jian-Guang Lou;Qiang Fu;Shengqi Yang;Jiang Li

  • Hybrid harmony search and artificial bee colony algorithm for global optimization problems

    Bin Wu;Cunhua Qian;Weihong Ni;Shuhai Fan

  • Log analysis in cloud computing environment with Hadoop and Spark

    Xiuqin Lin;Peng Wang;Bin Wu

  • Maximizing the spread of influence ranking in social networks

    Tian Zhu;Bai Wang;Bin Wu;Chuanxi Zhu

  • Road Damage Detection and Classification with Faster R-CNN

    Wenzhe Wang;Bin Wu;Sixiong Yang;Zhixiang Wang

  • A Parallel Algorithm for Enumerating All Maximal Cliques in Complex Network

    Nan Du;Bin Wu;Liutong Xu;Bai Wang

  • Collateral circulation imaging: MR perfusion territory arterial spin-labeling at 3T.

    B. Wu;X. Wang;J. Guo;S. Xie

  • A GENETIC ALGORITHM FOR DETECTING COMMUNITIES IN LARGE-SCALE COMPLEX NETWORKS

    Chuan Shi;Chuan Shi;Zhenyu Yan;Yi Wang;Yanan Cai

  • Integrating heterogeneous information via flexible regularization framework for recommendation

    Chuan Shi;Jian Liu;Fuzhen Zhuang;Philip S. Yu

  • A parallel algorithm for enumerating all the maximal k-plexes

    Bin Wu;Xin Pei

  • Overlapping Community Detection in Bipartite Networks

    Nan Du;Bai Wang;Bin Wu;Yi Wang

Frequent Co-Authors

Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Nan Du
Nan Du Tencent (China)
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Xiangnan Kong
Xiangnan Kong Worcester Polytechnic Institute
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Michalis Faloutsos
Michalis Faloutsos University of California, Riverside
Yue Huang
Yue Huang Xiamen University
Huadong Ma
Huadong Ma Beijing University of Posts and Telecommunications

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a Computer Science degree in the USA opens pathways to many related online programs and career opportunities. If you are interested in interdisciplinary fields, you might consider an environmental engineer degree online. This option allows you to tackle sustainability challenges and use technology to make a positive environmental impact.

For those drawn to the intersection of technology, design, and manufacturing, pursuing the cheapest online mechanical engineering degree can provide a solid foundation for roles in robotics, automation, and advanced engineering.

Those who have a passion for scientific discovery may opt for a bachelor of science in physics online. This degree nurtures analytical thinking and prepares you for problem-solving roles across research, engineering, and technology.

If you’re focused on data analytics, pursuing what is the cheapest data science course in the us? is a smart move. Data Science is a rapidly growing career pathway with strong demand in tech, finance, and healthcare sectors.

Best Scientists Citing Bin Wu

Trending Scientists