Mingbao Lin (林明宝)

Best way to reach me → Email: lmbxmu@stu.xmu.edu.cn

I am currently a final-year Ph.D student in the Laboratory of MAC, Artificial Intelligence Department, School of Informatics, Xiamen University, China.
My supervisor is Prof. Rongrong Ji. More recently, I focus on:

  • Network compression and acceleration
  • Multimedia retrieval using hashing technique


Publications

Journal
  1. Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
    Network Pruning using Adaptive Exemplar Filters. [pdf] [arXiv] [code]
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS, CORE-A, CCF-B). 2021
  2. Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji
    Filter Sketch for Network Pruning. [pdf] [arXiv] [code]
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS, CORE-A, CCF-B). 2021
  3. Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
    Fast Class-wise Updating for Online Hashing. [pdf] [arXiv] [code]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CORE-A, CCF-A). 2020
  4. Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian
    Hadamard Matrix Guided Online Hashing. [pdf] [arXiv] [code]
    International Journal of Computer Vision (IJCV, CORE-A, CCF-A). 2020
  5. Mingbao Lin, Rongrong Ji, Shen Chen, Xiaoshuai Sun, Chia-Wen Lin
    Similarity-Preserving Linkage Hashing for Online Image Retrieval. [pdf] [code]
    IEEE Transactions on Image Processing (TIP, CORE-A, CCF-A). 2020
Conference
  1. Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
    ReCU: Reviving the Dead Weights in Binary Neural Networks. [arXiv] [code]
    IEEE/CVF International Conference on Computer Vision (ICCV, CCF-A). 2021
  2. Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin
    Rotated Binary Neural Network. [pdf] [arXiv] [code]
    The 34th Conference on Neural Information Processing Systems (NeurIPS, CCF-A). 2020
  3. Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
    HRank: Filter Pruning using High-Rank Feature Map. [pdf] [arXiv] [code_v1] [code_v2]
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A) [Oral]. 2020
  4. Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
    Channel Pruning via Automatic Structure Search. [pdf] [arXiv] [code]
    The 29th International Joint Conference on Artificial Intelligence (IJCAI, CCF-A). 2020
  5. Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu
    Towards Optimal Discrete Online Hashing with Balanced Similarity. [PDF] [arXiv] [code]
    The 33rd AAAI Conference on Artificial Intelligence (AAAI, CCF-A). 2019
  6. Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu
    Supervised Online Hashing via Hadamard Codebook Learning. [PDF] [arXiv] [code]
    The 26th ACM International Conference on Multimedia (ACM MM, CCF-A) [Oral]. 2018
  7. Mingbao Lin*, Hong Liu*, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji (* denotes equal contributions)
    Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval. [PDF] [code]
    The 26th ACM International Conference on Multimedia (ACM MM, CCF-A). 2018
Preprint
  1. Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian Rongrong Ji
    Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. [arXiv] [code]
    arXiv preprint. 2021
  2. Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji
    Fine-grained Data Distribution Alignment for Post-Training Quantization. [arXiv] [code]
    arXiv preprint arXiv:2109.04186. 2021
  3. Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
    1×N Block Pattern for Network Sparsity. [arXiv] [code]
    arXiv preprint arXiv:2105.14713. 2021
  4. Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao
    SiMaN: Sign-to-Magnitude Network Binarization. [arXiv] [code]
    arXiv preprint arXiv:2102.07981. 2021
  5. Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian
    Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. [arXiv] [code]
    arXiv preprint arXiv:2107.06916. 2021
  6. Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
    Carrying out CNN Channel Pruning in a White Box. [arXiv] [code]
    arXiv preprint arXiv:2104.11883. 2021
  7. Yuxin Zhang, Mingbao Lin, Fei Chao, Guannan Jiang, Yan Wang, Yongjian Wu, Wei Zhang, Mingliang Xu, Yonghong Tian, Rongrong Ji
    Efficient Weight Pruning using Pre-trained Lottery Jackpots. [arXiv] [code]
    arXiv preprint arXiv:2104.08700. 2021
  8. Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye
    Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. [arXiv] [code]
    arXiv preprint arXiv:2104.02281. 2021
  9. Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
    Distilling a Powerful Student Model via Online Knowledge Distillation. [arXiv] [code]
    arXiv preprint arXiv:2103.14473. 2021
  10. Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji
    Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. [arXiv] [code]
    arXiv preprint arXiv:2011.08382. 2020

Working Experience

Activities

Awards