Mingbao Lin   林明宝

       Senior Researcher, Tencent


       Email: linmb001[at]outlook[dot]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, 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, image/text retrieval, as well as vision/language pretraining.

Latest News   [back top]

Publications   [back top]

Journal

012 Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao
SiMaN: Sign-to-Magnitude Network Binarization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[pdf] [arXiv] [code]
011 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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[pdf] [arXiv] [code]
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

017 Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
AAAI Conference on Artificial Intelligence (AAAI), 2023
[pdf coming] [arXiv] [code]
016 Sheng Xu*, Yanjing Li*, Teli Ma*, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu
Resilient Binary Neural Network
AAAI Conference on Artificial Intelligence (AAAI), 2023
[pdf coming] [arXiv coming] [code coming] (* Equal Contribution)
015 Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2023
[pdf coming] [arXiv] [code]
014 Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N:M Sparsity
Conference on Neural Information Processing Systems (NeurIPS), 2022
[pdf] [arXiv] [code]
013 Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
ARM: Any-Time Super-Resolution Method
European Conference on Computer Vision (ECCV), 2022
[pdf|supp] [arXiv] [code]
012 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
European Conference on Computer Vision (ECCV), 2022
[pdf|supp] [arXiv] [code]
011 Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinhao Ding, Liujuan Cao
Knowledge Condensation Distillation
European Conference on Computer Vision (ECCV), 2022
[pdf|supp] [arXiv] [code]
010 Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Fine-grained Data Distribution Alignment for Post-Training Quantization
European Conference on Computer Vision (ECCV), 2022
[pdf|supp] [arXiv] [code]
009 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
European Conference on Computer Vision (ECCV, Oral), 2022
[pdf] [arXiv] [code]
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
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
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
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
ACM International Conference on Multimedia (ACM MM), 2018
[pdf] [arXiv] [code]
001 Hong Liu*, Mingbao Lin*, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji
Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval
ACM International Conference on Multimedia (ACM MM), 2018
[pdf] [code] (* Equal Contribution)

Preprint

009 Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training
arXiv preprint arXiv:2211.08544, 2022
[arXiv] [code]
008 Peixian Chen, Kekai Sheng, Mengdan Zhang, Mingbao Lin, Yunhang Shen, Shaohui Lin, Bo Ren, Ke Li
Open-Vocabulary Object Detection with Proposal Mining and Prediction Equalization
arXiv preprint arXiv:2206.11134, 2022
[arXiv] [code]
007 Hong Yang*, Gongrui Nan*, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
arXiv preprint arXiv:2208.13039, 2022
[arXiv] [code] (* Equal Contribution)
006 Mingbao Lin*, Mengzhao Chen*, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji
Super Vision Transformer
arXiv preprint arXiv:2205.11397, 2022
[arXiv] [code] (* Equal Contribution)
005 Yimin Xu, Mingbao Lin, Hong Yang, Fei Chao, Rongrong Ji
Shadow-Aware Dynamic Convolution for Shadow Removal
arXiv preprint arXiv:2205.04908, 2022
[arXiv] [code]
004 Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Fei Chao, Rongrong Ji
OptG: Optimizing Gradient-driven Criteria in Network Sparsity
arXiv preprint arXiv:2201.12826, 2022
[arXiv] [code]
003 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]
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]