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Computer Science
China
2023

D-Index & Metrics

Computer Science

D-Index
75
Citations
25978
World Ranking
1400
National Ranking
190

Research.com Recognitions

  • 2023 - Research.com Computer Science in China Leader Award

Overview

Cheng-Lin Liu is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of computer science, specifically focusing on computer vision and pattern recognition. Their scholarly output encompasses 402 publications in this field, covering various subfields including computer vision and pattern recognition, artificial intelligence, media technology, biomedical engineering, and radiology, nuclear medicine and imaging.

Their research spans numerous topics, with notable emphasis on handwritten text recognition techniques, image processing and 3D reconstruction, domain adaptation and few-shot learning, multimodal machine learning applications, natural language processing techniques, image retrieval and classification techniques, and anomaly detection techniques and applications.

Among their recent publications are:

  • "Towards Robust Pattern Recognition: A Review" (2020), published in Proceedings of the IEEE
  • "BlockQNN: Efficient Block-Wise Neural Network Architecture Generation" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Handwritten Mathematical Expression Recognition via Paired Adversarial Learning" (2020), published in International Journal of Computer Vision
  • "Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Novel vacuum UV/ozone/peroxymonosulfate process for efficient degradation of levofloxacin: Performance evaluation and mechanism insight" (2023), published in Journal of Hazardous Materials

Frequently publishing in prominent venues, Cheng-Lin Liu has produced significant work in the following journals and platforms:

  • arXiv (Cornell University)
  • Pattern Recognition
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision

Their collaborative efforts include several frequent co-authors such as Xu-Yao Zhang, Fei Yin, Fei Zhu, Palaiahnakote Shivakumara, and Umapada Pal, contributing to their research and academic publications.

In addition to journal articles, Cheng-Lin Liu has authored books published by Springer Science+Business Media, including multiple volumes titled "Computer Vision - ACCV 2020" released in 2021.

Best Publications

  • Action recognition by dense trajectories

    Heng Wang;Alexander Klaser;Cordelia Schmid;Cheng-Lin Liu

  • Dense Trajectories and Motion Boundary Descriptors for Action Recognition

    Heng Wang;Alexander Kläser;Cordelia Schmid;Cheng-Lin Liu

  • Handwritten digit recognition: benchmarking of state-of-the-art techniques

    Cheng-Lin Liu;Kazuki Nakashima;Hiroshi Sako;Hiromichi Fujisawa

  • Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

    Xueyun Chen;Shiming Xiang;Cheng-Lin Liu;Chun-Hong Pan

  • CASIA Online and Offline Chinese Handwriting Databases

    Cheng-Lin Liu;Fei Yin;Da-Han Wang;Qiu-Feng Wang

  • Character Recognition Systems: A Guide for Students and Practitioners

    Mohammed Cheriet;Nawwaf Kharma;Cheng-lin Liu;Ching Suen

  • Practical Block-Wise Neural Network Architecture Generation

    Zhao Zhong;Junjie Yan;Wei Wu;Jing Shao

  • A Hybrid Approach to Detect and Localize Texts in Natural Scene Images

    Yi-Feng Pan;Xinwen Hou;Cheng-Lin Liu

  • ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT

    Nibal Nayef;Fei Yin;Imen Bizid;Hyunsoo Choi

  • 'Online recognition of Chinese characters: the state-of-the-art

    C.-L. Liu;S. Jaeger;M. Nakagawa

  • Robust Classification with Convolutional Prototype Learning

    Hong-Ming Yang;Xu-Yao Zhang;Fei Yin;Cheng-Lin Liu

  • Deep Direct Regression for Multi-oriented Scene Text Detection

    Wenhao He;Xu-Yao Zhang;Fei Yin;Cheng-Lin Liu

  • Handwritten digit recognition: investigation of normalization and feature extraction techniques

    Cheng-Lin Liu;Kazuki Nakashima;Hiroshi Sako;Hiromichi Fujisawa

  • Drawing and Recognizing Chinese Characters with Recurrent Neural Network

    Xu-Yao Zhang;Fei Yin;Yan-Ming Zhang;Cheng-Lin Liu

  • ICDAR 2013 Chinese Handwriting Recognition Competition

    Fei Yin;Qiu-Feng Wang;Xu-Yao Zhang;Cheng-Lin Liu

  • Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification

    Peng Wang;Bo Xu;Jiaming Xu;Guanhua Tian

  • Online and offline handwritten Chinese character recognition: Benchmarking on new databases

    Cheng-Lin Liu;Fei Yin;Da-Han Wang;Qiu-Feng Wang

  • Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark

    Xu-Yao Zhang;Yoshua Bengio;Cheng-Lin Liu;Cheng-Lin Liu

  • Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition

    Jinpeng Li;Shuang Qiu;Yuan-Yuan Shen;Cheng-Lin Liu

  • ICDAR 2011 Chinese Handwriting Recognition Competition

    Cheng-Lin Liu;Fei Yin;Qiu-Feng Wang;Da-Han Wang

  • Character Recognition Systems

    Mohamed Cheriet;Nawwaf Kharma;Cheng-Lin Liu;Ching Y. Suen

Frequent Co-Authors

Fei Yin
Fei Yin Chinese Academy of Sciences
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Hiromichi Fujisawa
Hiromichi Fujisawa Waseda University
Bo Xu
Bo Xu Chinese Academy of Sciences
Ching Y. Suen
Ching Y. Suen Concordia University
Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Chunhong Pan
Chunhong Pan Chinese Academy of Sciences
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Amir Hussain
Amir Hussain Edinburgh Napier University
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure

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