Mingbao Lin   林明宝

       Senior Researcher
       Tencent Youtu Lab


       Email: linmb001[AT]outlook.com
                    [Github]   [Scholar]

       Academic life is not all, but it can be a part.

[Biography] [Latest News] [Publications] [Professional Activities] [Major Awards] [Statistics]

Biography   [back top]

I am a senior researcher at Tencent Youtu Lab, where I work on computer vision and information retrieval. I finished the M.S.-Ph.D. study and obtained my Ph.D. degree from Xiamen University in 2022, advised by Prof. Rongrong Ji. Earlier, I received the B.S. degree from Fuzhou University in 2016.

My recent research interests are to develop efficient vision models, as well as image/text retrieval.

Latest News   [back top]

Publications   [back top]

Journal

010 Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye
Dynamic Support Network for Few-shot Class Incremental Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[pdf] [arXiv] [code]
009 Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[pdf] [arXiv] [code]
008 Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji
Learning Efficient GANs for Image Translation via Differentiable Masks and co-Attention Distillation
IEEE Transactions on Multimedia (TMM), 2022
[pdf] [arXiv] [code]
007 Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
Distilling a Powerful Student Model via Online Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[pdf] [arXiv] [code]
006 Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying out CNN Channel Pruning in a White Box
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[pdf] [arXiv] [code]
005 Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
Network Pruning using Adaptive Exemplar Filters
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
[pdf] [arXiv] [code]
004 Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji
Filter Sketch for Network Pruning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
[pdf] [arXiv] [code]
003 Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
Fast Class-wise Updating for Online Hashing
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[pdf] [arXiv] [code]
002 Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian
Hadamard Matrix Guided Online Hashing
International Journal of Computer Vision (IJCV), 2020
[pdf] [arXiv] [code]
001 Mingbao Lin, Rongrong Ji, Shen Chen, Xiaoshuai Sun, Chia-Wen Lin
Similarity-Preserving Linkage Hashing for Online Image Retrieval
IEEE Transactions on Image Processing (TIP), 2020
[pdf] [code]

Conference

008 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
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[pdf|supp] [arXiv] [code]
007 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
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
[pdf|supp] [arXiv] [code]
006 Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin
Rotated Binary Neural Network
The 34th Conference on Neural Information Processing Systems (NeurIPS), 2020
[pdf] [arXiv] [code]
005 Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
HRank: Filter Pruning using High-Rank Feature Map
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral), 2020
[pdf] [arXiv] [code_v1] [code_v2]
004 Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
Channel Pruning via Automatic Structure Search
The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020
[pdf] [arXiv] [code]
003 Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
Towards Optimal Discrete Online Hashing with Balanced Similarity
The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019
[pdf] [arXiv] [code]
002 Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu
Supervised Online Hashing via Hadamard Codebook Learning
The 26th ACM International Conference on Multimedia (ACM MM), 2018
[pdf] [arXiv] [code]
001 Mingbao Lin*, Hong Liu*, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji
Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval
The 26th ACM International Conference on Multimedia (ACM MM), 2018
[pdf] [code]

Preprint

015 Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N:M Sparsity
arXiv preprint arXiv:2206.06662
[arXiv] [code]
014 Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji
Super Vision Transformer
arXiv preprint arXiv:2205.11397
[arXiv] [code]
013 Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji
Shadow-Aware Dynamic Convolution for Shadow Removal
arXiv preprint arXiv:2205.04908, 2022
[arXiv] [code]
012 Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
arXiv preprint arXiv:2204.03541, 2022
[arXiv] [code]
011 Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji
SeqTR: A Simple yet Universal Network for Visual Grounding
arXiv preprint arXiv:2203.16265, 2022
[arXiv] [code]
010 Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
ARM: Any-Time Super-Resolution Method
arXiv preprint arXiv:2203.10812, 2022
[arXiv] [code]
009 Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
Coarse-to-Fine Vision Transformer
arXiv preprint arXiv:2203.03821, 2022
[arXiv] [code]
008 Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution
arXiv preprint arXiv:2203.03844, 2022
[arXiv] [code]
007 Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need
arXiv preprint arXiv:2201.12826, 2022
[arXiv] [code]
006 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 preprint arXiv:2109.05432, 2021
[arXiv] [code]
005 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 preprint arXiv:2109.04186, 2021
[arXiv] [code]
004 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 preprint arXiv:2105.14713, 2021
[arXiv] [code]
003 Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao
SiMaN: Sign-to-Magnitude Network Binarization
arXiv preprint arXiv:2102.07981, 2021
[arXiv] [code]
002 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 preprint arXiv:2107.06916, 2021
[arXiv] [code]
001 Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Ke Li, Yunhang Shen, Yongjian Wu, Rongrong Ji
Lottery Jackpots Exist in Pre-trained Models
arXiv preprint arXiv:2104.08700, 2021
[arXiv] [code]

Professional Activities   [back top]

Major Awards   [back top]

Statistics   [back top]