Le Yang


I'm currently as an assistant Professor at School of Information and Communications Engineering, Xi'an Jiaotong University.

|Google Scholar| |Github|

Education

  • PhD, 2015-2021, Tsinghua University
  • B.E., 2011-2015, Northwestern Polytechnical University

  • Research Interest

    I'm interested in machine learning and computer vision, in particular deep learning, dynamic neural network and resource-efficient learning. You can contact me via yangle15 at xjtu dot edu dot cn.

    Recent Publications & Preprints


    CondenseNet V2: Sparse Feature Reactivation for Deep Networks. [paper] [code]
    Le Yang*, Haojun Jiang*, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR ) 2021.

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    Dynamic neural networks: A survey. [paper]
    Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang.
    Arxiv Preprint 2021.

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    Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. [paper] [code]
    Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang.
    International Conference on Learning Representations (ICLR) 2021.

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    Resolution Adaptive Networks for Efficient Inference. [paper] [code]
    Le Yang*, Yizeng Han*, Xi Chen*, Shiji Song, Jifeng Dai, Gao Huang.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR ) 2020.

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    Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification. [paper] [code]
    Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang.
    Neural Information Processing Systems (NeurIPS) 2020.

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    Publication List

    * means equal contribution. + means corresponding author.

    [1] Le Yang, Shiji Song+, Yanshang Gong, Gao Huang and Cheng Wu, "Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability," in IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 10, pp. 3205-3210, Oct. 2019.

    [2] Le Yang, Shiji Song+ and C. L. Philip Chen. Transductive Transfer Learning Based on Broad Learning System. IEEE International Conference on Systems, Man, and Cybernetics, 2018.

    [3] Yiming Chen, Shiji Song+, Shuang Li, Le Yang>and Cheng Wu, "Domain Space Transfer Extreme Learning Machine for Domain Adaptation," in IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1909-1922, May 2019.

    [4] Le Yang*, Yizeng Han*, Xi Chen*, Shiji Song, Jifeng Dai and Gao Huang+. Resolution Adaptive Networks for Efficient Inference. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

    [5] Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang and Gao Huang+. Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification. Advances in Neural Information Processing Systems (NeurIPS), 2020.

    [6] Tianyu Liu, Li Kou, Le Yang, Wenhui Fan and Cheng Wu. A Physical Knowledge­Based Ex­treme Learning Machine Approach to Fault Diagnosis of Rolling Element Bear­ing from Small Datasets. Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the ACM International Symposium on Wearable Computers (UbiComp), 2020.

    [7] Yulin Wang, Zanlin Ni, Shiji Song, Le Yang and Gao Huang+. Revisiting Locally Supervised Learning: an Alternative to End­-to-­end Training. International Conference on Learning Representations (ICLR), 2021.

    [8] Le Yang*, Haojun Jiang*, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang+ and Qi Tian. CondenseNet V2: Sparse Feature Reactivation for Deep Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

    [9] Le Yang> Shiji Song+, Shuang Li, Yiming Chen and C. L. Philip Chen, "Discriminative Dimension Reduction via Maximin Separation Probability Analysis," in IEEE Transactions on Cybernetics, vol. 51, no. 8, pp. 4100-4111, Aug. 2021.

    [10] Le Yang> Shiji Song, Shuang Li+, Yiming Chen and Gao Huang, "Graph Embedding-Based Dimension Reduction With Extreme Learning Machine," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 7, pp. 4262-4273, July 2021.

    [11] Gao Huang+, Chunjiang Ge, Tianyu Xiong, Shiji Song, Le Yang Baoxian Liu, Wenjun Yin and Cheng Wu, "Large scale air pollution prediction with deep convolutional networks," In Journal of SCIENCE CHINA Information Sciences, vol. 64, Issue 9, 2021.

    [12] Le Yang+, Yiming Chen, Shiji Song, Fan Li and Gao Huang+, “Deep Siamese Networks Based Change Detection with Remote Sensing Images,” in Remote Sensing, vol. 13, no. 3394, 2021.

    Selected Honors

    • Beijing Outstanding Graduate Award, 2021 (Highest honor for graduate set by the government of Beijing)
    • China National Scholarship for Graduate, Ministry of Education of China, 2019. (Highest level of scholarship for graduate set by the government of China)
    • Outstanding Undergraduate Student, 2015 at NWPU.
    • China National Scholarship for Undergraduate, Ministry of Education of China, 2014 & 2013 & 2012. (Highest level of scholarship for undergraduate set by the government of China)

    Professional Activities

    • Program Committee (PC) member of IJCAI 2021.
    • Reviewer for IJCV, TNNLS, TCyber, TCSVT,...
    • Reviewer for CVPR, ICCV, IJCAI, NeurIPS, ICLR...

    Contact

    • Pengkang Building, XingQing, XJTU.

    • 4-8058, ChuangXinGang, XJTU.