YI LIU 刘毅


PROFESSOR !
CHANGZHOU UNIVERSITY

Yi Liu is a full professor in the School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University. He received his Ph. D. degree from Xidian University in 2019. He has published 16 papers at prominent journas and conferences such IEEE T-PAMI, IEEE T-IP, IEEE T-CSVT, IEEE T-IFS, IEEE ICCV, etc

Google Scholar.School homepage.


NEWS

  • August 2024. One paper co-authored with Ding Sheng (Ph. D student jointly supervised with Jungong Han) from Aberystwyth University was accepted by IEEE T-IV. Congratulate Ding Sheng!

  • August 2024. I was supported by the Young Elite Scientists Sponsorship Program of Jiangsu Province.

  • August 2024. Papers were accpeted for the PRCV (CCF C). Congradulations on Hui Meng and Wangjie Chen!

  • December 2023. A paper has been accepted by IEEE T-NNLS "Capsule Networks With Residual Pose Routing."

  • December 2023. A paper has been accepted by IEEE T-ITS "TCGNet: TypeCorrelation Guidance for Salient Object Detection"


  • Research Area

    Unsupervised deep learning

    3D Vision

    Few-shot learning

    Interpretable artificial intelligence

    Petrochemical intelligence information processing


    Teams

    Ph.D. students

    Ding Sheng Ong, Aberystwyth University, Sep. 2022- Now, Joint supervision with Prof. Jungong Han
    2021 - 2023

    Master students

    Xiaohui Dong, Changzhou University, Sep. 2021- Now
    Hui Meng, Changzhou University, Sep. 2022- Now
    Jie He, Changzhou University, Sep. 2022- Now
    Jianan Gu, Changzhou University, Sep. 2020- Now, Joint supervision with Prof. Shoukun Xu
    Lujun Zhang, Changzhou University, Sep. 2021- Now, Joint supervision with Prof. Shoukun Xu
    Chengxin Li,Changzhou University, Sep. 2023- Now
    Chengxin Lv,Changzhou University, Sep. 2023- Now
    Zhuang Yao,Changzhou University, Sep. 2023- Now
    Zhengyao Li,Changzhou University, Sep. 2023- Now
    2015 - 2020

    Undergraduate Students

    Ling Zhou, Changzhou University, Sep. 2020- Now
    2011 - 2015

    Representative Publications

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    Camouflaged Object Detection via Scale-Feature Attention and Type-Feature Attention.

    • Yi Liu,Hui Meng

    • Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

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    Adaptive Unified Framework with Global Anchor Graph for Large-scale Multi-view Clustering.

    • Lin Shi, Wangjie Chen, Yi Liu, Lihua Zhuang, and Guangqi Jiang

    • Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

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    Capsule Networks With Residual Pose Routing.

    • Yi Liu†,De Cheng†, Dingwen Zhang‡, Shoukun Xu, and Jungong Han‡

    • IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

    GITHUB REPO Download PDF
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    TCGNet: TypeCorrelation Guidance for Salient Object Detection

    • Yi Liu,Ling Zhou, Gengshen Wu , Shoukun Xu, and Jungong Han.

    • IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

    GITHUB REPO Download PDF
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    DKTNet Dual-Key Transformer Network for small object detection

    • Shoukun Xu, Jianan Gu, Yining Hua*, and Yi Liu*

    • Neurocomputing, 2023, 525: 29-41

    GITHUB REPO Download PDF
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    Disentangled capsule routing for fast part-object relational saliency

    • Yi Liu, Dingwen Zhang, Nian Liu, Shoukun Xu, and Jungong Han

    • IEEE Transactions on Image Processing (T-IP), 2022

    GITHUB REPO Download PDF
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    Bi-directional progressive guidance network for RGB-D salient object detection

    • Yang Yang, Qi Qin, Yongjiang Luo, Yi Liu*, Qiang Zhang*, and Jungong Han

    • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022, 32(8): 5346-5360

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    Part-object relational visual saliency

    • Yi Liu, Dingwen Zhang, Qiang Zhang, Jungong Han

    • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021, DOI 10.1109/TPAMI.2021.3053577

    GITHUB REPO Download PDF
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    Integrating part-object relationship and contrast for camouflaged object detection

    • Yi Liu, Dingwen Zhang, Qiang Zhang, Jungong Han

    • IEEE Transactions on Information Forensics and Security (T-IFS), 2021, 16: 5154-5166

    GITHUB REPO Download PDF
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    Exploring multi-scale deformable context and channel-wise attention for salient object detection

    • Yi Liu, Mingxing Duanmu, Zhen Huo, Hang Qi, Zuntian Chen, Lei Li, and Qiang Zhang

    • Neurocomputing, 2021, 428: 92-103

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    Engaging part-whole hierarchies and contrast cues for salient object detection

    • Qiang Zhang, Mingxing Duanmu, Yongjiang Luo, Yi Liu*, and Jungong Han*

    • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021

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    Deep Salient Object Detection with Contextual Information Guidance

    • Yi Liu, Jungong Han, Qiang Zhang, Caifeng Shan

    • IEEE Transactions on Image Processing (T-IP), 2020, 29: 360-374

    Result Download PDF
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    Joint cross-modal and unimodal features for RGB-D salient object detection

    • Nianchang Huang, Yi Liu, Qiang Zhang, Jungong Han

    • IEEE Transactions on Multimedia (T-MM), 2020

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    Employing Deep Part-Object Relationships for Salient Object Detection

    • Yi Liu, Qiang Zhang, Dingwen Zhang, Jungong Han

    • IEEE International Conference on Computer Vision (ICCV), 1232-1241, 2019

    GITHUB REPO Download PDF
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    Salient object detection via two-stage graphs

    • Yi Liu, Jungong Han, Qiang Zhang, Long Wang

    • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019, 29(4): 1023-1037

    Result Download PDF
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    Salient object detection employing a local tree-structured low-rank representation and foreground consistency

    • Qiang Zhang, Zhen Huo, Yi Liu, Yunhui Pan, Caifeng Shan, Jungong Han

    • Pattern Recognition (PR), 2019, 92: 119-134

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    Salient object detection employing robust sparse representation and local consistency

    • Yi Liu, Qiang Zhang, Jungong Han, Long Wang

    • Image and Vision Computing (IVC), 2018, 69: 155-167

    Result Download PDF
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    Salient object detection based on super-pixel clustering and unified low-rank representation

    • Qiang Zhang, Yi Liu, Siyang Zhu, Jungong Han

    • Computer Vision and Image Understanding (CVIU), 2017, 161: 51-64

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    project

    • Principle Investigator, Natural Science Foundation of Jinagsu Province, Unified visual attention object detection insipred by part-whole relationships, Jul 2022-Jun 2025.
    • Principle Investigator, National Nature Science Foundation of China, lmage Salient Object Detection based on the Lightweight Capsule Network, Jan 2021-Dec 2023.
    • Principle Investigator, Postgraduate Innovation Fund Project“Salient object detection via guidance from deeper layer for shallower layer", Xidian University, Apr 2018-Mar 2019.