Publications & Preprints


  1. Diff-ResNets for Few-shot Learning -- an ODE Perspective
    Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi, Arxiv:2105.03155. [pdf]

  2. A Semi-smooth Newton based Augmented Lagrangian Method for Nonsmooth Optimization on Matrix Manifolds
    Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu, Arxiv:2103.02855. [pdf]

  3. Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection
    Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang, Arxiv:2102.04586. [pdf]

  4. An Accelerated Method for Computing Stationary States of Multicomponent Phase Field Crystal Model
    Chang Chen, Kai Jiang, Chenglong Bao, Arxiv:2005.12604. [pdf]

  5. Approximation Analysis of Convolutional Neural Networks
    Chenglong Bao, Qianxiao Li, Zuowei Shen, Cheng Tai, Lei Wu, Xueshuang Xiang, submitted. [pdf]


  1. Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks
    Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma, IJCNN, accepted, 2021.

  2. Improved Harmonic Incompatibility Removal for Susceptibility Mapping via Reduction of Basis Mismatch
    Chenglong Bao, Jian-Feng Cai, Jae Kyu Choi, Bin Dong, Ke Wei, Journal of Computational Mathematics, accepted, 2021.

  3. Self-Distillation: Towards Efficient and Compact Neural Networks
    Linfeng Zhang, Chenglong Bao, Kaisheng Ma, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, 2021. [pdf]

  4. An Unsupervised Deep Learning Approach for Real-World Image
    Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao, ICLR, 2021. [pdf] [Code]

  5. Zero Norm based Analysis Model for Image Smoothing and Reconstruction
    Jiebo Song, Jia Li, Zhengan Yao, Kaisheng Ma, Chenglong Bao, Inverse Problems, 36(11), 2020. [pdf]

  6. Efficient Numerical Methods for Computing the Stationary States of Phase Field Crystal Models
    Kai Jiang, Wei Si, Chang Chen, Chenglong Bao, SIAM Journal on Scientific Computing, 42(6), B1350–B1377, 2020. [pdf]

  7. Task-Orientated Feature Distillation
    Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao, NeurIPS 2020. [pdf][Code]

  8. Interpolation between Residual and Non-Residual Networks
    Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi. ICML 2020. [pdf][Code]

  9. Auxiliary Training: Towards Accurate and Robust Models
    Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma. CVPR 2020. [pdf][Code]

  10. Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
    Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma. CVPR 2020. [pdf]

  11. Robust Document Distance with Wasserstein-Fisher-Rao Metric
    Zihao Wang, Datong Zhou, Yong Zhang, Chenglong Bao, Hao Wu, ACML 2020. [pdf]

  12. SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
    Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, and Kaisheng Ma, NeurIPS. Vancouver, 2019. [pdf][Code]

  13. Barzilai-Borwein-based adaptive learning rate for deep learning
    Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji, Pattern Recognition Letters , 128(1), 197-203, 2019. [pdf]

  14. Be your own teacher: improve the performance of convolutional neural networks via self distillation
    Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, and Kaisheng Ma, ICCV, Seoul, 2019. [pdf][Code]

  15. Whole brain susceptibility mapping using harmonic incompatibility removal
    Chenglong Bao, Jae Kyu Choi, and Bin Dong. SIAM Journal on Imaging Science,12(1), 492-520,2019. [pdf]

  16. Investigating energy-based pool structure selection in the structure ensemble modeling with experimental distance constraints: the example from a molti-domain protein Pub 1
    Guanhua Zhu, Wei Liu, Chenglong Bao, Dudu Tong, Hui Ji, Zuowei Shen, Daiwei Yang, and Lanyuan Lu. Proteins: Structure, Function, and Bioinformatics, 86 (5), 501–514, 2018.[pdf]

  17. PET-MRI joint reconstruction by joint sparsity based tight frame regolarization
    Jae Kyu Choi, Chenglong Bao, and Xiaoqun Zhang. SIAM Journal on Imaging Sciences, 11 (2), 1179–1204, 2018. [pdf]

  18. Coherence retrieval using trace regolarization
    Chenglong Bao, George Barbastathis, Hui Ji, Zuowei Shen, and Zhengyun Zhang. SIAM Journal on Imaging Sciences, 11 (1), 679–706, 2018. [pdf]

  19. Apparent coherence loss in phase space tomography
    Zhengyun Zhang, Chenglong Bao, Hui Ji, Zuowei Shen, and George Barbastathis. Journal of the Optical Society of America A, 34 (11), 2025–2033, 2017.[pdf]

  20. Image restoration by minimizing zero norm of wavelet frame coefficients
    Chenglong Bao, Bin Dong, Likun Hou, Zuowei Shen, Xiaoqun Zhang, and Xue Zhang. Inverse Problems, 32 (1), 2016. [pdf]

  21. Cerebellar functional parcellation using sparse dictionary learning clustering
    Changqing Wang, Judy Kipping, Chenglong Bao, Hui Ji, and Anqi Qiu. Frontiers in Neuroscience, 10 (188), 2016 [pdf]

  22. Equiangular kernel dictionary learning with applications to dynamic texture analysis
    Yuhui Quan, Chenglong Bao, and Hui Ji. CVPR, Las Vegas, 2016 [pdf]

  23. Dictionary learning for sparse coding: algorithms and convergence analysis
    Chenglong Bao, Hui Ji, Yuhui Quan, and Zuowei Shen. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (7), 1356–1369, 2016. [pdf]

  24. Convergence analysis for iterative data-driven tight frame construction scheme
    Chenglong Bao, Hui Ji, and Zuowei Shen. Applied and Computational Harmonic Analysis, 38 (3), 510–523, 2015. [pdf]

  25. A convergent incoherent dictionary learning algorithm for sparse coding
    Chenglong Bao, Yuhui Quan, and Hui Ji. ECCV, Zurich, 2014. [pdf]

  26. L0 norm based dictionary learning by proximal methods with global convergence
    Chenglong Bao, Hui Ji, Yuhui Quan, and Zuowei Shen. CVPR, Columbus, 2014. [pdf]

  27. Fast sparsity based orthogonal dictionary learning for image restoration
    Chenglong Bao, Jian-feng Cai, and Hui Ji. ICCV, Sydney,2013. [pdf]

  28. Real time robust L1 tracker using accelerated proximal gradient method
    Chenglong Bao, Yi Wu, Haibin Ling, and Hui Ji. CVPR, Rhole Island, 2012. [pdf]

Unpublsihed Technical Reports

  1. An efficient method for computing stationary states of phase field crystal models
    Kai Jiang, Wei Si, Chenglong Bao, Arxiv:1909.00305. [pdf]

  2. Brain-inspired reverse adversarial examples
    Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, and Kaisheng Ma, arXiv:1905.12171. [pdf]

  3. Exploring Frequency Domain Interpretation of Convolutional Neural Networks
    Zhongfan Jia, Chenglong Bao, Kaisheng Ma, Arxiv:1911.12044. [pdf]