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Group Whitening: Balancing Learning Efficiency and Representational Capacity

Sep 28, 2020
Lei Huang, Li Liu, Fan Zhu, Ling Shao

* V1: rejected by NeurIPS 2020. The main issue is that Assumption 1 not rigorous, thus the analysis based on which. Code available at: https://github.com/huangleiBuaa/GroupWhitening 

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Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Sep 27, 2020
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* 20 pages 

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A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

Aug 30, 2020
Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao

* Under review 

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Invertible Zero-Shot Recognition Flows

Jul 09, 2020
Yuming Shen, Jie Qin, Lei Huang

* ECCV2020 

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Convolutional Neural Network Training with Distributed K-FAC

Jul 01, 2020
J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster

* To be published in the proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC20) 

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Topic Detection and Summarization of User Reviews

May 30, 2020
Pengyuan Li, Lei Huang, Guang-jie Ren


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Controllable Orthogonalization in Training DNNs

Apr 02, 2020
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao

* Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/ONI 

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An Efficient Agreement Mechanism in CapsNets By Pairwise Product

Apr 01, 2020
Lei Zhao, Xiaohui Wang, Lei Huang

* Accepted to ECAI 2020 

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An Investigation into the Stochasticity of Batch Whitening

Mar 27, 2020
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/StochasticityBW 

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The Medical Scribe: Corpus Development and Model Performance Analyses

Mar 12, 2020
Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul

* Proceedings of Language Resources and Evaluation, 2020 
* Extended version of the paper accepted at LREC 2020 

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Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs

Mar 11, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 

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Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis

Feb 25, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 

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Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction

Feb 01, 2020
Bin Wen, Jie Luo, Xianglong Liu, Lei Huang

* 9 pages, 5 figures 

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Deformable Tube Network for Action Detection in Videos

Jul 03, 2019
Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang


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Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search

Apr 18, 2019
Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao


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Iterative Normalization: Beyond Standardization towards Efficient Whitening

Apr 06, 2019
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* Accepted to CVPR 2019. The Code is available at https://github.com/huangleiBuaa/IterNorm 

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Analyzing Periodicity and Saliency for Adult Video Detection

Jan 11, 2019
Yizhi Liu, Xiaoyan Gu, Lei Huang, Junlin Ouyang, Miao Liao, Liangran Wu


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Utilizing Complex-valued Network for Learning to Compare Image Patches

Nov 29, 2018
Siwen Jiang, Wenxuan Wei, Shihao Guo, Hongguang Fu, Lei Huang


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Data-driven Analytics for Business Architectures: Proposed Use of Graph Theory

Jun 05, 2018
Lei Huang, Guangjie Ren, Shun Jiang, Raphael Arar, Eric Young Liu


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Decorrelated Batch Normalization

Apr 23, 2018
Lei Huang, Dawei Yang, Bo Lang, Jia Deng

* Accepted to CVPR 2018. Code available at https://github.com/umich-vl/DecorrelatedBN 

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Block-Normalized Gradient Method: An Empirical Study for Training Deep Neural Network

Apr 23, 2018
Adams Wei Yu, Lei Huang, Qihang Lin, Ruslan Salakhutdinov, Jaime Carbonell


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DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

Dec 10, 2017
Bo Wu, Yang Liu, Bo Lang, Lei Huang

* 16 pages,8 figures 

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Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

Nov 21, 2017
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li

* 20 pages, Accepted by AAAI 2018 

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Projection Based Weight Normalization for Deep Neural Networks

Oct 06, 2017
Lei Huang, Xianglong Liu, Bo Lang, Bo Li

* 12 pages, 3 figures 

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Micro Fourier Transform Profilometry ($μ$FTP): 3D shape measurement at 10,000 frames per second

May 31, 2017
Chao Zuo, Tianyang Tao, Shijie Feng, Lei Huang, Anand Asundi, Qian Chen

* This manuscript was originally submitted on 30th January 17 

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