World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
94
Citations
53465
World Ranking
477
National Ranking
63

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 1994 - IEEE Fellow For contributions to parallel processing and distributed systems.

Overview

Lionel M. Ni is affiliated with the Hong Kong University of Science and Technology in China. Their main field of study is Computer Science, with a particular focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Electrical and Electronic Engineering, and Media Technology.

The scientist's research topics encompass advanced areas within computer science, including:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Network Packet Processing and Optimization
  • Context-Aware Activity Recognition Systems
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques

The publication record includes papers presented predominantly in well-known venues, with a concentration on contributions to arXiv (Cornell University). Other notable venues where the scientist has published are the Journal of Computer Science and Technology, Knowledge-Based Systems, Frontiers of Information Technology & Electronic Engineering, and ACM Computing Surveys.

Recent papers feature a range of topics and venues:

  • "Generalizing from a Few Examples," 2020, ACM Computing Surveys
  • "DN-DETR: Accelerate DETR Training by Introducing Query DeNoising," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection," 2022, arXiv (Cornell University)
  • "FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories," 2020, IEEE Internet of Things Journal
  • "Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation," 2020, Information Sciences

Frequent co-authors in their research collaborations include:

  • Shilong Liu
  • Hao Zhang
  • Lei Zhang
  • Heung-Yeung Shum
  • Feng Li

Lionel M. Ni was recognized as an IEEE Fellow in 1994 for contributions to parallel processing and distributed systems.

Best Publications

  • LANDMARC: indoor location sensing using active RFID

    Lionel M. Ni;Yunhao Liu;Yiu Cho Lau;Abhishek P. Patil

  • Interconnection Networks

    Jose Duato;Sudhakar Yalamanchili;Lionel Ni

  • Generalizing from a Few Examples: A Survey on Few-shot Learning

    Yaqing Wang;Quanming Yao;James T. Kwok;Lionel M. Ni

  • Interconnection Networks: An Engineering Approach

    Jose Duato;Sudhakar Yalamanchili;Lionel Ming-Shuan Ni

  • A survey of wormhole routing techniques in direct networks

    L.M. Ni;P.K. McKinley

  • The turn model for adaptive routing

    Christopher J. Glass;Lionel M. Ni

  • Internet QoS: a big picture

    Xipeng Xiao;L.M. Ni

  • DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

    Unknown

  • WiFall: Device-Free Fall Detection by Wireless Networks

    Yuxi Wang;Kaishun Wu;Lionel M. Ni

  • DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

    Unknown

  • We Can Hear You with Wi-Fi!

    Guanhua Wang;Yongpan Zou;Zimu Zhou;Kaishun Wu

  • Traffic engineering with MPLS in the Internet

    Xipeng Xiao;A. Hannan;B. Bailey;L.M. Ni

  • Prophet address allocation for large scale MANETs

    Hongbo Zhou;Lionel M. Ni;Matt W. Mutka

  • Service discovery in pervasive computing environments

    F. Zhu;M.W. Mutka;L.M. Ni

  • CSI-Based Indoor Localization

    Kaishun Wu;Jiang Xiao;Youwen Yi;Dihu Chen

  • VIRE: Active RFID-based Localization Using Virtual Reference Elimination

    Yiyang Zhao;Yunhao Liu;L.M. Ni

  • Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

    Unknown

  • Unicast-based multicast communication in wormhole-routed networks

    P.K. McKinley;H. Xu;A.-H. Esfahanian;L.M. Ni

  • AnySee: Peer-to-Peer Live Streaming

    X. Liao;H. Jin;Y. Liu;L. M. Ni

  • FILA: Fine-grained indoor localization

    Kaishun Wu;Jiang Xiao;Youwen Yi;Min Gao

  • TRAC: Truthful Auction for Location-Aware Collaborative Sensing in Mobile Crowdsourcing

    Zhenni Feng;Yanmin Zhu;Qian Zhang;Lionel Ming-Shuan Ni

  • Trapezoid self-scheduling: a practical scheduling scheme for parallel compilers

    T.H. Tzen;L.M. Ni

  • Retrospective: the turn model for adaptive routing

    Lionel Ni

Frequent Co-Authors

Yunhao Liu
Yunhao Liu Tsinghua University
Yanmin Zhu
Yanmin Zhu Shanghai Jiao Tong University
Kaishun Wu
Kaishun Wu Shenzhen University
Yunhuai Liu
Yunhuai Liu Peking University
Matt W. Mutka
Matt W. Mutka Michigan State University
Li Xiao
Li Xiao Michigan State University
Qiong Luo
Qiong Luo Hong Kong University of Science and Technology
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Philip K. McKinley
Philip K. McKinley Michigan State University
Minglu Li
Minglu Li Zhejiang Normal University

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