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.

07/2022 -- Now: Senior Researcher, Tencent, 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]

11/2022: Three papers accepted by AAAI 2023
10/2022: One paper accepted by IEEE TPAMI
09/2022: One paper accepted by NeurIPS 2022
08/2022: Outstanding contributions to the development of IEEE Standard 2941^TM - 2022
07/2022: One paper accepted by IEEE TPAMI
07/2022: Five papers accepted by ECCV 2022
07/2022: Senior Researcher, Tencent, Shanghai, China
06/2022: Outstanding Ph.D. Graduate Student, Xiamen University
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

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]