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
    2. 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
    3. 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
    4. 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
    5. 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
    6. 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
    2. 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. [pdf | supp] [arXiv] [code]
    IEEE/CVF International Conference on Computer Vision (ICCV, CCF-A). 2021
    3. 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
    4. 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
    5. 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
    6. 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
    7. 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
    8. 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
    2. Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji✉
    IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. [arXiv] [code]
    arXiv preprint arXiv:2111.09136. 2021
    3. 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 arXiv:2109.05432. 2021
    4. 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
    5. Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji✉
    1xN Pattern for Pruning Convolutional Neural Networks. [arXiv] [code]
    arXiv preprint arXiv:2105.14713. 2021
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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