World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7830
World Ranking
10086
National Ranking
1258

Overview

Lixin Duan is affiliated with the University of Electronic Science and Technology of China. Their research primarily lies within the field of Computer Science, focusing on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, and Information Systems.

The scientist's recent publications cover a range of topics in domain adaptation, neural networks, and computer vision. Some notable papers include:

  • BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Domain Adversarial Reinforcement Learning for Partial Domain Adaptation, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Open Set Domain Adaptation With Soft Unknown-Class Rejection, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Structure-Aware Motion Transfer with Deformable Anchor Model, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their body of work frequently addresses cross-domain semantic segmentation, unsupervised domain adaptation, and motion transfer using advanced neural network techniques.

Frequent collaborators include:

  • Wen Li
  • Jinhong Deng
  • Ivor W. Tsang
  • Tiezheng Ge
  • Fengmao Lv

Lixin Duan's publications have appeared repeatedly in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their research topics commonly address:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications

The total number of publications attributed to them spans across 181 contributions primarily in Computer Science, with a considerable focus on machine learning methods applied to visual data and domain adaptation challenges. Their work encompasses theoretical developments and practical applications relevant to evolving areas in computer vision and artificial intelligence.

Best Publications

  • Visual event recognition in videos by learning from web data

    Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang;Jiebo Luo

  • Domain Transfer Multiple Kernel Learning

    Lixin Duan;I. W. Tsang;Dong Xu

  • Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

    Wen Li;Lixin Duan;Dong Xu;Ivor W. Tsang

  • Visual event recognition in videos by learning from web data

    Unknown

  • Domain adaptation from multiple sources via auxiliary classifiers

    Lixin Duan;Ivor W. Tsang;Dong Xu;Tat-Seng Chua

  • Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

    Lixin Duan;Dong Xu;I. W. Tsang

  • Domain Transfer SVM for video concept detection

    Lixin Duan;Ivor W Tsang;Dong Xu;Stephen J Maybank

  • Learning with Augmented Features for Heterogeneous Domain Adaptation

    Lixin Duan;Dong Xu;Ivor W. Tsang

  • Unbiased Mean Teacher for Cross-domain Object Detection

    Jinhong Deng;Wen Li;Yuhua Chen;Lixin Duan

  • Action recognition using context and appearance distribution features

    Xinxiao Wu;Dong Xu;Lixin Duan;Jiebo Luo

  • Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach

    Lixin Duan;Dong Xu;Shih-Fu Chang

  • Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

    Weixin Luo;Wen Liu;Dongze Lian;Jinhui Tang

  • Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

    Qing Lian;Lixin Duan;Fengmao Lv;Boqing Gong

  • Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences

    Fengmao Lv;Xiang Chen;Yanyong Huang;Lixin Duan

  • An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures

    Zhantao Cao;Lixin Duan;Guowu Yang;Ting Yue

  • Text-based image retrieval using progressive multi-instance learning

    Wen Li;Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang

  • STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition

    Yuhan Zhang;Bo Wu;Wen Li;Lixin Duan

  • JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation

    Yuming Jiang;Lixin Duan;Jun Cheng;Zaiwang Gu

  • Webly-supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames

    Chuang Gan;Chen Sun;Lixin Duan;Boqing Gong

  • A survey on computer aided diagnosis for ocular diseases

    Zhuo Zhang;Zhuo Zhang;Ruchir Srivastava;Huiying Liu;Xiangyu Chen

  • Improving Web Image Search by Bag-Based Reranking

    Lixin Duan;Wen Li;Ivor Wai-Hung Tsang;Dong Xu

  • Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

    Qing Lian;Fengmao Lv;Lixin Duan;Boqing Gong

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Dong Xu
Dong Xu University of Hong Kong
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Yanwu Xu
Yanwu Xu South China University of Technology
Wen Li
Wen Li University of Electronic Science and Technology of China
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Jiebo Luo
Jiebo Luo University of Rochester
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Shenghua Gao
Shenghua Gao ShanghaiTech University

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