H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 80 Citations 26,866 478 World Ranking 420 National Ranking 34

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to machine learning, computer vision, and remote sensing

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His main research concerns Artificial intelligence, Pattern recognition, Machine learning, Hash function and Theoretical computer science. Wei Liu studied Artificial intelligence and Computer vision that intersect with Resolution. The study incorporates disciplines such as Modal, Feature, Contextual image classification, Image and Supervised learning in addition to Pattern recognition.

His Machine learning research includes themes of Training set and Robustness. His Hash function research is multidisciplinary, incorporating elements of Hamming space, Deep learning and Search engine indexing. His Theoretical computer science research incorporates themes from Feature hashing, Nearest neighbor search, Universal hashing and Dynamic perfect hashing.

His most cited work include:

  • Supervised hashing with kernels (1111 citations)
  • Hashing with Graphs (848 citations)
  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning (731 citations)

What are the main themes of his work throughout his whole career to date?

Wei Liu focuses on Artificial intelligence, Computer vision, Pattern recognition, Image and Machine learning. His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Natural language processing, with regards to Word. His study in the field of Tracking and Object also crosses realms of Field and Process.

Wei Liu does research in Pattern recognition, focusing on Feature extraction specifically. His Machine learning research integrates issues from Hash function, Image retrieval, Metric and Robustness. His research in Double hashing, Universal hashing, Dynamic perfect hashing and Feature hashing are components of Hash function.

He most often published in these fields:

  • Artificial intelligence (61.35%)
  • Computer vision (19.25%)
  • Pattern recognition (18.50%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (61.35%)
  • Computer vision (19.25%)
  • Image (15.04%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Computer vision, Image, Deep learning and Machine learning. In his research on the topic of Artificial intelligence, Similarity is strongly related with Pattern recognition. His work on Augmented reality, Face, Object and Tracking as part of general Computer vision research is frequently linked to Process, bridging the gap between disciplines.

The Image study which covers Sample that intersects with Function. Wei Liu studies Machine learning, focusing on Discriminative model in particular. Wei Liu interconnects Language model, Natural language, Natural language processing and Metric in the investigation of issues within Closed captioning.

Between 2019 and 2021, his most popular works were:

  • Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm (152 citations)
  • Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (117 citations)
  • Graph Convolutional Network Hashing (39 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

Wei Liu mainly focuses on Artificial intelligence, Algorithm, Deep learning, Pattern recognition and Applied mathematics. The Artificial intelligence study combines topics in areas such as Machine learning and Computer vision. His Algorithm study integrates concerns from other disciplines, such as Shearing, Filter bank, Image fusion and Spatial frequency.

His Deep learning research is multidisciplinary, relying on both Object detection, Minimum bounding box, Inference, Cluster analysis and Point. Wei Liu studies Pattern recognition, namely Convolutional neural network. The various areas that Wei Liu examines in his Applied mathematics study include Gradient descent, Convex function and Smoothness.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Supervised hashing with kernels

Wei Liu;Jun Wang;Rongrong Ji;Yu-Gang Jiang.
computer vision and pattern recognition (2012)

1236 Citations

Hashing with Graphs

Wei Liu;Jun Wang;Sanjiv Kumar;Shih-fu Chang.
international conference on machine learning (2011)

931 Citations

CosFace: Large Margin Cosine Loss for Deep Face Recognition

Hao Wang;Yitong Wang;Zheng Zhou;Xing Ji.
computer vision and pattern recognition (2018)

715 Citations

Supervised Discrete Hashing

Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen.
computer vision and pattern recognition (2015)

663 Citations

SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie.
computer vision and pattern recognition (2017)

589 Citations

Large Graph Construction for Scalable Semi-Supervised Learning

Wei Liu;Junfeng He;Shih-fu Chang.
international conference on machine learning (2010)

479 Citations

Ontology learning from text: A look back and into the future

Wilson Wong;Wei Liu;Mohammed Bennamoun.
ACM Computing Surveys (2012)

472 Citations

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu.
european conference on computer vision (2018)

412 Citations

Multiple object tracking: A literature review

Wenhan Luo;Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang.
Artificial Intelligence (2021)

397 Citations

Discrete Graph Hashing

Wei Liu;Cun Mu;Sanjiv Kumar;Shih-Fu Chang.
neural information processing systems (2014)

371 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Contact us

Top Scientists Citing Wei Liu

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 110

Fumin Shen

Fumin Shen

University of Electronic Science and Technology of China

Publications: 95

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 83

Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

Publications: 83

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 83

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 81

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 67

Xiangnan He

Xiangnan He

University of Science and Technology of China

Publications: 66

Yang Yang

Yang Yang

University of Electronic Science and Technology of China

Publications: 62

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 61

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 55

Jingkuan Song

Jingkuan Song

Columbia University

Publications: 53

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 49

Xilin Chen

Xilin Chen

Institute Of Computing Technology

Publications: 48

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 46

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