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Fine-grained Data Distribution Alignment for Post-Training Quantization


Sep 09, 2021
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji


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Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion


Jul 14, 2021
Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian


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1$\times$N Block Pattern for Network Sparsity


Jun 15, 2021
Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji


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Carrying out CNN Channel Pruning in a White Box


Apr 24, 2021
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

* 11 pages, 4 figures 

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Lottery Jackpots Exist in Pre-trained Models


Apr 18, 2021
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji

* 10 pages, 7 figures 

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Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning


Apr 06, 2021
Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye


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Distilling a Powerful Student Model via Online Knowledge Distillation


Mar 29, 2021
Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji


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ReCU: Reviving the Dead Weights in Binary Neural Networks


Mar 23, 2021
Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

* 11 pages, 5 figures 

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SiMaN: Sign-to-Magnitude Network Binarization


Feb 16, 2021
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao


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Non-Parametric Adaptive Network Pruning


Jan 25, 2021
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye


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Fast Class-wise Updating for Online Hashing


Dec 01, 2020
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao

* Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

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Learning Efficient GANs using Differentiable Masks and co-Attention Distillation


Nov 21, 2020
Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji


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Rotated Binary Neural Network


Oct 22, 2020
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin

* Accepted by NeurIPS2020 (The 34th Conference on Neural Information Processing Systems) 

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HRank: Filter Pruning using High-Rank Feature Map


Mar 16, 2020
Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao


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Channel Pruning via Automatic Structure Search


Jan 23, 2020
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian


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Filter Sketch for Network Pruning


Jan 23, 2020
Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian


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Hadamard Codebook Based Deep Hashing


Oct 21, 2019
Shen Chen, Liujuan Cao, Mingbao Lin, Yan Wang, Xiaoshuai Sun, Chenglin Wu, Jingfei Qiu, Rongrong Ji

* 8 pages, 7 figures, conference 

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Supervised Online Hashing via Similarity Distribution Learning


May 31, 2019
Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang


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Supervised Online Hashing via Hadamard Codebook Learning


May 24, 2019
Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Liu


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Hadamard Matrix Guided Online Hashing


May 11, 2019
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian


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Towards Optimal Discrete Online Hashing with Balanced Similarity


Jan 29, 2019
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu

* 8 pages, 11 figures, conference 

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