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Lex-BERT: Enhancing BERT based NER with lexicons


Jan 02, 2021
Wei Zhu, Daniel Cheung


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CMV-BERT: Contrastive multi-vocab pretraining of BERT


Dec 29, 2020
Wei Zhu, Daniel Cheung


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MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining


Nov 17, 2020
Wei Zhu


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Precision-Recall Curve (PRC) Classification Trees


Nov 15, 2020
Jiaju Miao, Wei Zhu


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Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data


Oct 15, 2020
Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo

* Accepted to ICDM-20 

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AutoRC: Improving BERT Based Relation Classification Models via Architecture Search


Sep 27, 2020
Wei Zhu, Xipeng Qiu, Yuan Ni, Guotong Xie


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AutoTrans: Automating Transformer Design via Reinforced Architecture Search


Sep 04, 2020
Wei Zhu, Xiaoling Wang, Xipeng Qiu, Yuan Ni, Guotong Xie


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Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach


May 25, 2020
Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo

* 9 pages, 7 figures 

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Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification


Apr 21, 2020
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo


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Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning


Apr 07, 2020
Pengzhan Guo, Zeyang Ye, Keli Xiao, Wei Zhu


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Unifying Specialist Image Embedding into Universal Image Embedding


Mar 08, 2020
Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo


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Scale-Equivariant Neural Networks with Decomposed Convolutional Filters


Sep 24, 2019
Wei Zhu, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng


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Extension of Rough Set Based on Positive Transitive Relation


Jun 13, 2019
Min Shu, Wei Zhu

* 9 pages 

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Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization


Sep 23, 2018
Bao Wang, Alex T. Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher

* 11 pages, 5 figures 

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Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning


Sep 23, 2018
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies


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A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations


Aug 10, 2018
Tao Sun, Hao Jiang, Lizhi Cheng, Wei Zhu


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Deep Neural Nets with Interpolating Function as Output Activation


Jun 17, 2018
Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher

* 11 pages, 4 figures 

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Scalable low dimensional manifold model in the reconstruction of noisy and incomplete hyperspectral images


Mar 23, 2018
Wei Zhu, Zuoqiang Shi, Stanley Osher


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Multi-appearance Segmentation and Extended 0-1 Program for Dense Small Object Tracking


Dec 14, 2017
Longtao Chen, Jing Lou, Wei Zhu, Qingyuan Xia, Mingwu Ren


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LDMNet: Low Dimensional Manifold Regularized Neural Networks


Nov 16, 2017
Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies


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Exploiting Color Name Space for Salient Object Detection


Mar 27, 2017
Jing Lou, Huan Wang, Longtao Chen, Qingyuan Xia, Wei Zhu, Mingwu Ren

* 13 pages, 10 figures, 2 tables 

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Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm


Feb 13, 2017
Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sanchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley Osher, Dominique Zosso, Da Kuang


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RCR: Robust Compound Regression for Robust Estimation of Errors-in-Variables Model


Aug 12, 2015
Hao Han, Wei Zhu


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