Jie Gui


Selected Publications


Preprints


Preferred papers


Journal

  • Fooling the Image Dehazing Models by First Order Gradient
    J. Gui, X. Cong, C. Peng, Y. Tang, J. Kwok
    IEEE Transactions on Circuits and Systems for Video Technology, accepted.[Code]
    Paper: arxiv

  • Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding
    J. Gui, X. Cong, L. He, Y. Tang, J. Kwok
    IEEE Transactions on Multimedia, vol. 26, pp. 4819-4830, 2024.

  • Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
    J. Ge, Y. Liu, J. Gui, L. Fang, M. Lin, J. Kwok, L. Huang, B. Luo
    IEEE Transactions on Image Processing, vol. 32, pp. 3442-3454, 2023. [Code]
    Paper: arxiv

  • A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning.
    J. Gui, X. Cong, Y. Cao, W. Ren, J. Zhang, J. Zhang, J. Cao, D. Tao
    ACM Computing Surveys, vol. 55, no. 13s, article 279, pp. 1-37, 2023. [Code]
    Paper: arxiv , 中文版,第40页开始(Chinese version) , Conference version: IJCAI 2021

  • Feedback Pyramid Attention Networks for Single Image Super-Resolution
    H. Wu, J. Gui, J. Zhang, J. Kwok, Z. Wei
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 9, pp. 4881-4892, 2023.

  • An Efficient Cross-Modality Self-Calibrated Network for Hyperspectral and Multispectral Image Fusion
    H. Wu, J. Gui, Y. Xu, Z. Wu, Y. Tang, Z. Wei
    IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022.

  • AlignVE: Visual Entailment Recognition Based on Alignment Relations
    B. Cao, J. Cao*, J. Gui*, J. Shen, B. Liu, L. He, Y. Tang, J. Kwok
    IEEE Transactions on Multimedia, vol. 25, pp. 7378-7387, 2023.

  • Scalable Distributed Hashing for Approximate Nearest Neighbor Search.
    Y. Cao, J. Liu, H. Qi, J. Gui, K. Li, J. Ye, C. Liu
    IEEE Transactions on Image Processing, vol. 31, pp. 472-484, 2022.

  • Fast kNN Search in Weighted Hamming Space with Multiple Tables.
    J. Gui, Y. Cao, H. Qi, K. Li, J. Ye, C. Liu, X. Xu
    IEEE Transactions on Image Processing, vol. 30, pp. 3985-3994, 2021.

  • Hash Learning with Variable Quantization for Large-scale Retrieval.
    Y. Cao, S. Chen, J. Gui*, H. Qi*, Z. Li, C. Liu
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 5, pp. 2624-2637, 2022.

  • Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval
    Y. Cao, H. Qi*, J. Gui*, K. Li, Y. Tang, J. Kwok
    IEEE Transactions on Multimedia, vol. 23, pp. 3907-3918, 2021. [Code]

  • An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation.
    N. Cheng, H. Wang, X. Tang, T. Zhang, J. Gui*, C. Zheng, J. Xia
    IEEE Transactions on Circuits and Systems for Video Technology, accepted.

  • Multi-grained Attention Networks for Single Image Super-Resolution.
    H. Wu, Z. Zou, J. Gui, W. Zeng, J. Ye, J. Zhang, H. Liu, Z. Wei
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 2, pp. 512-522, 2021.

  • Automatic Modulation Classification for MIMO Systems via Deep Learning and Zero-Forcing Equalization.
    Y. Wang, J. Gui, Y. Yin, J. Wang, J. Sun, G. Gui, H. Gacanin, H. Sari, F. Adachi
    IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5688-5692, 2020.

  • Supervised Discrete Hashing with Relaxation.
    J. Gui, T. Liu, Z. Sun, D. Tao, and T. Tan.
    IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 608-617, 2018.

  • Representative Vector Machines: A unified framework for classical classifiers. [Code]
    J. Gui, T. Liu, D. Tao, Z. Sun, and T. Tan.
    IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1877-1888, 2016.

  • How to estimate the regularization parameter for spectral regression discriminant analysis and its kernel version? [Code], [Second Prize of Anhui Province Best Paper Award of Science]
    J. Gui, Z. Sun, S. Ji, J. Cheng, and X. Wu.
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 2, pp. 211-223, 2014.

  • Group sparse multiview patch alignment framework with view consistency for image classification.
    J. Gui, D. Tao, Z. Sun, Y. Luo, X. You, and Y. Tang.
    IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 3126-3137, 2014.

  • Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification.
    Y. Luo, Y. Wen, D. Tao, J. Gui, and C. Xu.
    IEEE Transactions on Image Processing, vol. 25, no. 1, pp. 414-427, 2016.

  • Angular pattern and binary angular pattern for shape retrieval. [Code]
    R. Hu, W. Jia, H. Ling, Y. Zhao, and J. Gui.
    IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1118-1127, 2014.

  • Histogram of Oriented Lines for Palmprint Recognition.
    W. Jia, R. Hu, Y. Lei, Y. Zhao, and J. Gui.
    IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 44, no. 3, pp. 385-395, 2014.

  • Discriminant Sparse Neighborhood Preserving Embedding for Face Recognition. [Highly Cited Paper] [The 16th position in Top 25 Hottest Articles in ScienceDirect]
    J. Gui, Z. Sun, W. Jia, R. Hu, Y. Lei, and S. Ji.
    Pattern Recognition, vol. 45, no. 8, pp. 2884–2893, 2012.

  • Face Recognition via Weighted Sparse Representation. [Highly Cited Paper] [Code], [Top 25 Most Cited Articles]
    C. Lu, H. Min, J. Gui, L. Zhu, and Y. Lei.
    Journal of Visual Communication and Image Representation, vol. 24, no. 2, pp. 111-116, 2013.

  • Perceptually motivated morphological strategies for shape retrieval.
    R. Hu, W. Jia, Y. Zhao, and J. Gui.
    Pattern Recognition, vol. 45, no. 9, pp. 3222-3230, 2012.

  • Hand shape recognition based on coherent distance shape contexts.
    R. Hu, W. Jia, D. Zhang, J. Gui, and L. Song.
    Pattern Recognition, vol. 45, no. 9, pp. 3348-3359, 2012.

  • Locality Preserving Discriminant Projections for Face and Palmprint Recognition.
    J. Gui, W. Jia, L. Zhu, S. Wang, and D. Huang.
    Neurocomputing, vol. 73, no. 13-15, pp. 2696-2707, 2010.

  • Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data.
    Z. You, Y. Lei, J. Gui, D. Huang, and X. Zhou.
    Bioinformatics, vol. 26, no. 21, pp. 2744-2751, 2010.

  • Tumor Classification by Combining PNN Classifier Ensemble with Neighborhood Rough Set Based Gene Reduction.
    S. Wang, X. Li, S. Zhang, J. Gui, and D. Huang.
    Computers in biology and medicine, vol. 40, no. 2, pp. 179-189, 2010.


Conference

  • A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint.
    X. Cong, J. Gui*, J. Zhang, J. Hou, H. Shen.
    Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Code, arxiv

  • Underwater Organism Color Fine-tuning via Decomposition and Guidance.
    X. Cong, J. Gui*, J. Hou.
    AAAI Conference on Artificial Intelligence (AAAI), 2024.

  • Taxonomy Driven Fast Adversarial Training.
    K. Tong, C. Jiang, J. Gui*, Y. Cao.
    AAAI Conference on Artificial Intelligence (AAAI), 2024.

  • Occluded Skeleton-Based Human Action Recognition with Dual Inhibition Training.
    Z. Chen, H. Wang, J. Gui*.
    ACM Multimedia (ACM MM), 2023.

  • Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graphs.
    L. Fang, K. Feng, J. Gui, S. Feng, A. Hu.
    Proceedings of the VLDB (VLDB), 2023.

  • Good helper is around you: Attention-driven Masked Image Modeling.
    Z. Liu, J. Gui*, H. Luo.
    AAAI Conference on Artificial Intelligence (AAAI), 2023. [Code]
    Paper: AAAI , arxiv , 中文版(Chinese version)
    Video: Video

  • Fast Online Hashing with Multi-Label Projection.
    W. Jia, Y. Cao*, J. Liu, J. Gui.
    AAAI Conference on Artificial Intelligence (AAAI), 2023. [Code]

  • A Comprehensive Survey on Image Dehazing Based on Deep Learning. [Code]
    J. Gui, X. Cong, Y. Cao*, W. Ren, J. Zhang, J. Zhang, D. Tao
    International Joint Conference on Artificial Intelligence (IJCAI), 2021.
    Paper: arxiv, (Chinese version)中文版,第40页开始, IJCAI 2021

  • Delving into variance transmission and normalization: Shift of average gradient makes the network collapse.
    Y. Liu, J. Ge*, C. Li, J. Gui*.
    AAAI Conference on Artificial Intelligence (AAAI), 2021. [Code]

  • Discrete Haze Level Dehazing Network.
    X. Cong, J. Gui*, K. Miao. J. Zhang*, B. Wang, P. Chen.
    ACM Multimedia (ACM MM), 2020.

  • Random Fourier Features for Kernel Multi-view Discriminant Analysis.
    X. Li, J. Gui, P. Li.
    European Conference on Artificial Intelligence (ECAI), 2020.

  • R2SDH: Robust Rotated Supervised Discrete Hashing.
    J. Gui, P. Li.
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 1485-1493, 2018.

  • Multi-View Feature Selection for Heterogeneous Face Recognition. [Code]
    J. Gui, P. Li.
    IEEE International Conference on Data Mining (ICDM), 2018.

  • An optimal set of code words and correntropy for rotated least squares regression. [Code]
    J. Gui, Z. Sun, G. Hou, and T. Tan.
    International Joint Conference on Biometrics (IJCB), 2014.

  • Regularization parameter estimation for spectral regression discriminant analysis based on perturbation theory.
    J. Gui, Z. Sun, and T. Tan.
    International Conference on Pattern Recognition (ICPR), pp. 401-404, 2012.

  • Locality preserving discriminant projections.
    J. Gui, C. Wang, and L. Zhu.
    International Conference on Intelligent Computing, pp. 566-572, 2009.

  • An improvement on learning with local and global consistency.
    J. Gui, D. Huang, and Z. You.
    International Conference on Pattern Recognition, 2008.