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One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach


Apr 08, 2021
Yuan Zhao, Xiaochuan Ke, Bo Zhao, Yuhang Xiao, Lei Huang

* 5 pages, 3 figures, 1 table. To be submitted to IEEE wireless communication letters for possible publishing 

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Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification


Feb 26, 2021
Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao

* Accepted to AAAI2021 

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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration


Feb 17, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

* Technical report, 10 pages. Self-supervised binary neural networks using distillation loss (5.5~15% improvement over contrastive baseline) 

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EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information


Jan 25, 2021
Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong


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One-Bit Target Detection in Collocated MIMO Radar and Performance Degradation Analysis


Dec 19, 2020
Yu-Hang Xiao, David Ramírez, Peter J. Schreier, Cheng Qian, Lei Huang


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Slimmable Generative Adversarial Networks


Dec 15, 2020
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang

* Accepted to AAAI 2021 

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Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization


Dec 03, 2020
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao

* 28 pages 

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Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models


Oct 14, 2020
Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang, Yunjiao Wang

* 10 pages 

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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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