World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
16632
World Ranking
2883
National Ranking
50

Research.com Recognitions

  • 2020 - ACM Distinguished Member

Overview

Bingsheng He is affiliated with the National University of Singapore in Singapore and has published extensively in the field of Computer Science, with a particular focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Signal Processing.

The research topics covered in their work include:

  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Privacy-Preserving Technologies in Data
  • Data Management and Algorithms
  • Parallel Computing and Optimization Techniques
  • Cloud Computing and Resource Management
  • Caching and Content Delivery

Frequent co-authors collaborating with Bingsheng He include:

  • Qinbin Li
  • Shixuan Sun
  • Shengliang Lu
  • Feng Zhang
  • Yao Chen

Publication venues where Bingsheng He has frequently contributed are:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Parallel and Distributed Systems

Selected recent papers authored or co-authored by Bingsheng He include:

  • Federated Learning on Non-IID Data Silos: An Experimental Study, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Practical Federated Gradient Boosting Decision Trees, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • The Serverless Computing Survey: A Technical Primer for Design Architecture, 2022, ACM Computing Surveys
  • A novel anoikis-related gene signature predicts prognosis in patients with head and neck squamous cell carcinoma and reveals immune infiltration, 2022, Frontiers in Genetics

Bingsheng He has also contributed to book publications, including a title published by Now Publishers:

  • Database Systems on GPUs, 2021

Recognition in their professional career includes the award of ACM Distinguished Member in 2020.

Best Publications

  • Federated Learning on Non-IID Data Silos: An Experimental Study

    Unknown

  • Model-Contrastive Federated Learning

    Qinbin Li;Bingsheng He;Dawn Song

  • Mars: a MapReduce framework on graphics processors

    Bingsheng He;Wenbin Fang;Qiong Luo;Naga K. Govindaraju

  • A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

    Qinbin Li;Zeyi Wen;Zhaomin Wu;Sixu Hu

  • Relational joins on graphics processors

    Bingsheng He;Ke Yang;Rui Fang;Mian Lu

  • Relational query coprocessing on graphics processors

    Bingsheng He;Mian Lu;Ke Yang;Rui Fang

  • NV-Tree: reducing consistency cost for NVM-based single level systems

    Jun Yang;Qingsong Wei;Cheng Chen;Chundong Wang

  • Medusa: Simplified Graph Processing on GPUs

    Jianlong Zhong;Bingsheng He

  • LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud

    Shadi Ibrahim;Hai Jin;Lu Lu;Song Wu

  • Distributed systems meet economics: pricing in the cloud

    Hongyi Wang;Qingfeng Jing;Rishan Chen;Bingsheng He

  • Tree indexing on solid state drives

    Yinan Li;Bingsheng He;Robin Jun Yang;Qiong Luo

  • Practical Federated Gradient Boosting Decision Trees

    Qinbin Li;Zeyi Wen;Bingsheng He

  • Database compression on graphics processors

    Wenbin Fang;Bingsheng He;Qiong Luo

  • Efficient gather and scatter operations on graphics processors

    Bingsheng He;Naga K. Govindaraju;Qiong Luo;Burton Smith

  • Mars: Accelerating MapReduce with Graphics Processors

    Wenbin Fang;Bingsheng He;Qiong Luo;N K Govindaraju

  • The Serverless Computing Survey: A Technical Primer for Design Architecture

    Unknown

  • ThunderSVM: A Fast SVM Library on GPUs and CPUs

    Zeyi Wen;Jiashuai Shi;Qinbin Li;Bingsheng He

  • Comet: batched stream processing for data intensive distributed computing

    Bingsheng He;Mao Yang;Zhenyu Guo;Rishan Chen

  • Revisiting co-processing for hash joins on the coupled CPU-GPU architecture

    Jiong He;Mian Lu;Bingsheng He

  • Towards Pay-As-You-Consume Cloud Computing

    Shadi Ibrahim;Bingsheng He;Hai Jin

  • Parallel Data Mining on Graphics Processors

    Wenbin Fang;Ka Keung Lau;Mian Lu;Xiangye Xiao

  • Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling

    Jianlong Zhong;Bingsheng He

Frequent Co-Authors

Qiong Luo
Qiong Luo Hong Kong University of Science and Technology
Hai Jin
Hai Jin Huazhong University of Science and Technology
Jianliang Xu
Jianliang Xu Hong Kong Baptist University
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Bu-Sung Lee
Bu-Sung Lee Nanyang Technological University
Xueyan Tang
Xueyan Tang Nanyang Technological University
Xiaoyong Du
Xiaoyong Du Renmin University of China
Pedro V. Sander
Pedro V. Sander Hong Kong University of Science and Technology
Yun Liang
Yun Liang Peking University
Mo Li
Mo Li Hong Kong University of Science and Technology

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