World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
89011
World Ranking
2016
National Ranking
280

Overview

Kai Chen is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily focuses on computer science and engineering, with a significant emphasis on artificial intelligence, computer vision and pattern recognition, and computer networks and communications.

The scientist's research contributions span a range of topics including advanced neural network applications, privacy-preserving technologies in data, domain adaptation and few-shot learning, cryptography and data security, cloud computing and resource management, advanced image and video retrieval techniques, and software-defined networks and 5G.

Notable recent papers authored by Kai Chen include:

  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • Revisiting Skeleton-based Action Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • RTMDet: An Empirical Study of Designing Real-Time Object Detectors, 2022, arXiv (Cornell University)
  • A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • K-Net: Towards Unified Image Segmentation, 2021, arXiv (Cornell University)

The scientist collaborates frequently with several researchers, including Qiang Yang, Dahua Lin, Junxue Zhang, Di Chai, and Leye Wang. These collaborations highlight a network of research engagement across multiple studies.

Their publications are commonly found in the following venues:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • ACM Transactions on Intelligent Systems and Technology
  • SSRN Electronic Journal
  • Neurocomputing

Kai Chen has also contributed to academic book literature. One such work is titled Privacy-preserving Computing, published by Cambridge University Press in 2023.

Best Publications

  • Distributed Representations of Words and Phrases and their Compositionality

    Tomas Mikolov;Ilya Sutskever;Kai Chen;Greg S Corrado

  • Efficient Estimation of Word Representations in Vector Space

    Tomas Mikolov;Kai Chen;Greg S. Corrado;Jeffrey Dean

  • Large Scale Distributed Deep Networks

    Jeffrey Dean;Greg Corrado;Rajat Monga;Kai Chen

  • Building high-level features using large scale unsupervised learning

    Marc'aurelio Ranzato;Rajat Monga;Matthieu Devin;Kai Chen

  • Scalable and accurate deep learning with electronic health records

    Alvin Rajkomar;Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • Scalable and accurate deep learning for electronic health records

    Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • CRC-Aided Decoding of Polar Codes

    Kai Niu;Kai Chen

  • Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection

    Yongchao Xu;Mingtao Fu;Qimeng Wang;Yukang Wang

  • Real-Time Scene Text Detection with Differentiable Binarization

    Minghui Liao;Zhaoyi Wan;Cong Yao;Kai Chen

  • Collaborative filtering and deep learning based recommendation system for cold start items

    Jian Wei;Jianhua He;Kai Chen;Yi Zhou

  • A LSTM-based method for stock returns prediction: A case study of China stock market

    Kai Chen;Yi Zhou;Fangyan Dai

  • QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

    Adams Wei Yu;David Dohan;Minh-Thang Luong;Rui Zhao

  • OSA: an optical switching architecture for data center networks with unprecedented flexibility

    Kai Chen;Ankit Singla;Atul Singh;Kishore Ramachandran

  • OSA: an optical switching architecture for data center networks with unprecedented flexibility

    Kai Chen;Ankit Singlay;Atul Singhz;Kishore Ramachandranz

  • Effective location-guided tree construction algorithms for small group multicast in MANET

    K. Chen;K. Nahrstedt

  • Secure Federated Matrix Factorization

    Di Chai;Leye Wang;Kai Chen;Qiang Yang

  • Information-agnostic flow scheduling for commodity data centers

    Wei Bai;Li Chen;Kai Chen;Dongsu Han

  • Stack decoding of polar codes

    K. Niu;K. Chen

  • Building high-level features using large scale unsupervised learning

    Quoc V. Le;Marc'Aurelio Ranzato;Rajat Monga;Matthieu Devin

  • On setting TCP's congestion window limit in mobile ad hoc networks

    Kai Chen;Yuan Xue;K. Nahrstedt

  • ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

    Zheng Huang;Kai Chen;Jianhua He;Xiang Bai

Frequent Co-Authors

Haibing Guan
Haibing Guan Shanghai Jiao Tong University
Yan Chen
Yan Chen Northwestern University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Kun Tan
Kun Tan Huawei Technologies (China)
Hao Wang
Hao Wang Tianjin University
Haitao Wu
Haitao Wu Google (United States)
Dongsu Han
Dongsu Han Korea Advanced Institute of Science and Technology
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Kai Zheng
Kai Zheng University of Electronic Science and Technology of China

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