Mingbao Lin   林明宝

[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.

• 06/2022 -- Now: Senior Researcher, Tencent Youtu Lab, Shanghai, China
• 09/2019 -- 06/2022: Research Intern, Peng Cheng Lab, Shenzhen, China
• 09/2018 -- 06/2022: Ph.D. in Intelligence Science and Technology, MAC Lab, Xiamen University, Xiamen, China
• 09/2016 -- 06/2018: M.S. in Computer Technology, MAC Lab, Xiamen University, Xiamen, China
• 09/2012 -- 06/2016: B.S. in Computer Science and Technology, Fuzhou University, Fuzhou, China

Latest News   [back top]

• 06/2022: Senior Research, Tencent Youtu Lab, Shanghai, China
• 06/2022: Outstanding Ph.D. Graduate Student, Xiamen University
• 05/2022: One paper accepted by IEEE TPAMI
• 05/2022: One paper accepted by IEEE TPAMI
• 03/2022: One paper accepted by CVPR 2022
• 03/2022: One paper accepted by IEEE TMM
• 02/2022 -- 03/2022: Three papers accepted by IEEE TNNLS

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]

• Conference Reviewer: CVPR 2021--2022, ICCV 2021, ECCV 2022, ICML 2021--2022, NeurIPS 2022, AAAI 2021--2022, ACM MM 2021, IJCNN 2022
• Journal Reviewer: IEEE TPAMI, JMLR, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, IEEE TNSE, NEUCOM, NEUNET, NCAA

Major Awards   [back top]

• Outstanding Ph.D. Graduate Student, Xiamen University, 2022
• Outstanding Merit Student, Xiamen University, 2021
• National Scholarship (Ph.D.), China, 2021
• National Scholarship (Ph.D.), China, 2020
• Xiamen University Scholarship, 2019

Statistics   [back top]