World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
11210
World Ranking
5574
National Ranking
742

Overview

Zhenguo Li is affiliated with Huawei Technologies (China) and has a research focus primarily within the field of Computer Science. Their publication history reflects significant work in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, and Information Systems.

The scientist's research covers a range of main topics including Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Topic Modeling, Generative Adversarial Networks and Image Synthesis, as well as Anomaly Detection Techniques and Applications.

Notable recent papers authored or co-authored by Zhenguo Li include:

  • DetCo: Unsupervised Contrastive Learning for Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model, 2024, IEEE Robotics and Automation Letters
  • FILIP: Fine-grained Interactive Language-Image Pre-Training, 2021, arXiv (Cornell University)
  • SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Zhenguo Li include Lanqing Hong, Hang Xu, Enze Xie, Xiaodan Liang, and Fengwei Zhou.

Publication venues with recurring contributions from Zhenguo Li include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • DeepFM: a factorization-machine based neural network for CTR prediction

    Huifeng Guo;Ruiming Tang;Yunming Ye;Zhenguo Li

  • Meta-SGD: Learning to Learn Quickly for Few Shot Learning.

    Zhenguo Li;Fengwei Zhou;Fei Chen;Hang Li

  • Segmentation using superpixels: A bipartite graph partitioning approach

    Zhenguo Li;Xiao-Ming Wu;Shih-Fu Chang

  • Federated Meta-Learning with Fast Convergence and Efficient Communication

    Fei Chen;Mi Luo;Zhenhua Dong;Zhenguo Li

  • DetCo: Unsupervised Contrastive Learning for Object Detection

    Enze Xie;Jian Ding;Wenhai Wang;Xiaohang Zhan

  • DARTS+: Improved Differentiable Architecture Search with Early Stopping.

    Hanwen Liang;Shifeng Zhang;Jiacheng Sun;Xingqiu He

  • Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

    Hang Xu;Lewei Yao;Zhenguo Li;Xiaodan Liang

  • FILIP: Fine-grained Interactive Language-Image Pre-Training

    Lewei Yao;Runhui Huang;Lu Hou;Guansong Lu

  • CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending

    Hang Xu;Shaoju Wang;Xinyue Cai;Wei Zhang

  • AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

    Bin Liu;Chenxu Zhu;Guilin Li;Weinan Zhang

  • Boosting Few-Shot Learning With Adaptive Margin Loss

    Aoxue Li;Weiran Huang;Xu Lan;Jiashi Feng

  • Pairwise constraint propagation by semidefinite programming for semi-supervised classification

    Zhenguo Li;Jianzhuang Liu;Xiaoou Tang

  • An Embedding Learning Framework for Numerical Features in CTR Prediction

    Huifeng Guo;Bo Chen;Ruiming Tang;Weinan Zhang

  • Constrained clustering via spectral regularization

    Zhenguo Li;Jianzhuang Liu;Xiaoou Tang

  • Spatial-Aware Graph Relation Network for Large-Scale Object Detection

    Hang Xu;Chenhan Jiang;Xiaodan Liang;Zhenguo Li

  • One Million Scenes for Autonomous Driving: ONCE Dataset

    Jiageng Mao;Minzhe Niu;Chenhan Jiang;Hanxue Liang

  • Federated Meta-Learning for Recommendation

    Fei Chen;Zhenhua Dong;Zhenguo Li;Xiuqiang He

  • Learning with Partially Absorbing Random Walks

    Xiao-ming Wu;Zhenguo Li;Anthony M. So;John Wright

  • Deep Meta-Learning: Learning to Learn in the Concept Space

    Fengwei Zhou;Bin Wu;Zhenguo Li

  • OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

    Unknown

  • Locally Linear Hashing for Extracting Non-linear Manifolds

    Go Irie;Zhenguo Li;Xiao-Ming Wu;Shih-Fu Chang

  • Bridging the gap between sample-based and one-shot neural architecture search with BONAS

    Han Shi;Renjie Pi;Hang Xu;Zhenguo Li

Frequent Co-Authors

Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Shih-Fu Chang
Shih-Fu Chang Columbia University
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
John C. S. Lui
John C. S. Lui Chinese University of Hong Kong
Jiashi Feng
Jiashi Feng ByteDance
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Yong Yu
Yong Yu Shanghai Jiao Tong University

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