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

D-Index & Metrics

Computer Science

D-Index
78
Citations
27044
World Ranking
1193
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2022 - Research.com Computer Science in United Arab Emirates Leader Award

Overview

Li Liu is affiliated with Group42 in the United Arab Emirates and has a substantial presence in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence. Their research portfolio comprises extensive work on advanced methodologies related to image and video analysis, multimodal machine learning, and clustering techniques.

The main topics covered in their research include:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques
  • Sparse and Compressive Sensing Techniques
  • Video Analysis and Summarization
  • Child and Adolescent Psychosocial and Emotional Development

Li Liu's frequent co-authors include:

  • Huaxiang Zhang
  • Lei Zhu
  • Weiguo Li
  • Wendi Bao
  • Liqiang Nie

Their research has been published predominantly in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Applied Intelligence
  • IEEE Transactions on Multimedia
  • Information Sciences

Among the recent scholarly articles authored or co-authored by Li Liu are:

  • A multi-label text classification method via dynamic semantic representation model and deep neural network, 2020, Applied Intelligence
  • Hierarchical Feature Aggregation Based on Transformer for Image-Text Matching, 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • Adversarial Graph Convolutional Network for Cross-Modal Retrieval, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval, 2020, IEEE Transactions on Multimedia

Best Publications

  • Deep Learning for Generic Object Detection: A Survey

    Li Liu;Li Liu;Wanli Ouyang;Xiaogang Wang;Paul W. Fieguth

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • Deep Learning for 3D Point Clouds: A Survey

    Yulan Guo;Hanyun Wang;Qingyong Hu;Hao Liu

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Median Robust Extended Local Binary Pattern for Texture Classification

    Li Liu;Songyang Lao;Paul W. Fieguth;Yulan Guo

  • STAR: A Structure and Texture Aware Retinex Model

    Jun Xu;Yingkun Hou;Dongwei Ren;Li Liu

  • Automated Visual Defect Detection for Flat Steel Surface: A Survey

    Qiwu Luo;Xiaoxin Fang;Li Liu;Chunhua Yang

  • Local binary features for texture classification

    Li Liu;Paul Fieguth;Yulan Guo;Xiaogang Wang

  • Extended local binary patterns for texture classification

    Li Liu;Lingjun Zhao;Yunli Long;Gangyao Kuang

  • Texture Classification from Random Features

    Li Liu;Paul Fieguth

  • An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images

    Gui Gao;Li Liu;Lingjun Zhao;Gongtao Shi

  • Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

    Fumin Shen;Yan Xu;Li Liu;Yang Yang

  • From BoW to CNN: Two Decades of Texture Representation for Texture Classification

    Li Liu;Li Liu;Jie Chen;Paul W. Fieguth;Guoying Zhao

  • Median robust extended local binary pattern for texture classification

    Li Liu;Paul Fieguth;Matti Pietikainen;Songyang Lao

  • Learning discriminative representations from RGB-D video data

    Li Liu;Ling Shao

  • Feature Learning for Image Classification Via Multiobjective Genetic Programming

    Ling Shao;Li Liu;Xuelong Li

  • An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning

    Ji Zhang;Yu Liu;Ke Zhou;Guoliang Li

  • Attentive Region Embedding Network for Zero-Shot Learning

    Guo-Sen Xie;Li Liu;Xiaobo Jin;Fan Zhu

  • Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval

    Li Liu;Fumin Shen;Yuming Shen;Xianglong Liu

  • Efficient and Effective Regularized Incomplete Multi-View Clustering

    Xinwang Liu;Miaomiao Li;Chang Tang;Jingyuan Xia

  • Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images

    Yi Zhou;Xiaodong He;Lei Huang;Li Liu

  • Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach

    Li Liu;Ling Shao;Xuelong Li;Ke Lu

Frequent Co-Authors

Ling Shao
Ling Shao Terminus International
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Jungong Han
Jungong Han Aberystwyth University
Yunhong Wang
Yunhong Wang Beihang University
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Xuelong Li
Xuelong Li China Telecom (China)
Jun Xu
Jun Xu University of Utah
Jingkuan Song
Jingkuan Song Columbia University
Guiguang Ding
Guiguang Ding Tsinghua University
Yang Yang
Yang Yang University of Electronic Science and Technology of China

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