World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7483
World Ranking
11067
National Ranking
4598

Research.com Recognitions

  • 2017 - ACM Fellow For contributions to the design and analysis of wireless networks, improving architectures, throughput, and analytics
  • 2014 - ACM Distinguished Member

Overview

Li Erran Li is a researcher affiliated with Amazon in the United States, specializing in computer science with a strong focus on computer vision and artificial intelligence. Their contributions mainly pertain to advanced neural network applications, multimodal machine learning, and autonomous vehicle technology.

Their work covers several main fields and subfields of study, notably:

  • Computer Science
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Automotive Engineering
  • Computational Mechanics

Li Erran Li's research topics include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Memory and Neural Computing
  • Autonomous Vehicle Technology and Safety

Frequently collaborating with other scholars, Li has coauthored multiple publications with Min Bai, Zhuofan Xia, Xuran Pan, Gao Huang, and Shiji Song.

Their recent published papers highlight contributions primarily to computer vision and autonomous driving, including:

  • "Vision Transformer with Deformable Attention," 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Disentangled Recurrent Wasserstein Autoencoder," 2021, released on arXiv (Cornell University)
  • "Vision Transformer with Deformable Attention," 2022, posted on arXiv (Cornell University)
  • "GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields," 2023, available on arXiv (Cornell University)

Li Erran Li's research has appeared across various venues, with multiple publications in arXiv (Cornell University), as well as appearances in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the International Journal of Computer Vision, and the Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.

Throughout their career, Li has been recognized by professional organizations, having been named an ACM Fellow in 2017 for contributions to the design and analysis of wireless networks, impacting architectures, throughput, and analytics.

They were also designated as an ACM Distinguished Member in 2014.

Best Publications

  • SoftRAN: software defined radio access network

    Aditya Gudipati;Daniel Perry;Li Erran Li;Sachin Katti

  • Toward Software-Defined Cellular Networks

    Li Erran Li;Z. Morley Mao;Jennifer Rexford

  • SoftCell: scalable and flexible cellular core network architecture

    Xin Jin;Li Erran Li;Laurent Vanbever;Jennifer Rexford

  • 3D Object Detection with Pointformer

    Xuran Pan;Zhuofan Xia;Shiji Song;Li Erran Li

  • Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness

    Shuo Cheng;Zexiang Xu;Shilin Zhu;Zhuwen Li

  • Scalable architecture for enterprise extension in a cloud topology

    Li Erran Li;Thomas Woo

  • Dynamic load balancing and scaling of allocated cloud resources in an enterprise network

    Li Erran Li;Thomas Woo

  • Market sharing games applied to content distribution in ad hoc networks

    M.X. Goemans;Li Li;V.S. Mirrokni;M. Thottan

  • System and method for root cause analysis of mobile network performance problems

    Jin Cao;Li Erran Li;Tian Bu;Susan Wu Sanders

  • Advancing the state of mobile cloud computing

    Paramvir Bahl;Richard Y. Han;Li Erran Li;Mahadev Satyanarayanan

  • Layer 2 seamless site extension of enterprises in cloud computing

    Li Erran Li;Thomas Woo

  • CloudStream: Delivering high-quality streaming videos through a cloud-based SVC proxy

    Zixia Huang;Chao Mei;Li Erran Li;Thomas Woo

  • On spectrum sharing games

    Magnús M. Halldórsson;Joseph Y. Halpern;Li Erran Li;Vahab S. Mirrokni

  • piStream: Physical Layer Informed Adaptive Video Streaming over LTE

    Xiufeng Xie;Xinyu Zhang;Swarun Kumar;Li Erran Li

  • On spectrum sharing games

    Magnús M. Halldórsson;Joseph Y. Halpern;Li (Erran) Li;Vahab S. Mirrokni

  • LTE radio analytics made easy and accessible

    Swarun Kumar;Ezzeldin Hamed;Dina Katabi;Li Erran Li

  • Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals

    Kun Qian;Shilin Zhu;Xinyu Zhang;Li Erran Li

  • Measuring control plane latency in SDN-enabled switches

    Keqiang He;Junaid Khalid;Aaron Gember-Jacobson;Sourav Das

  • Train in Germany, Test in the USA: Making 3D Object Detectors Generalize

    Yan Wang;Xiangyu Chen;Yurong You;Li Erran Li

  • On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretic and cryptographic techniques

    Sheng Zhong;Li Erran Li;Yanbin Grace Liu;Yang Richard Yang

  • Identifying suspicious activities through DNS failure graph analysis

    Nan Jiang;Jin Cao;Yu Jin;Li Erran Li

Frequent Co-Authors

Ion Stoica
Ion Stoica University of California, Berkeley
Vahab Mirrokni
Vahab Mirrokni Google (United States)
Yan Chen
Yan Chen Northwestern University
Swarun Kumar
Swarun Kumar Carnegie Mellon University
Sachin Katti
Sachin Katti Stanford University
Richard Han
Richard Han Macquarie University
Kun Tan
Kun Tan Huawei Technologies (China)
Harish Viswanathan
Harish Viswanathan Nokia (United States)
Xinyu Zhang
Xinyu Zhang University of California, San Diego
Jennifer Rexford
Jennifer Rexford Princeton University

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