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Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives


Nov 09, 2021
Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang

* 37 pages, 3 tables, 2 figures, to be submitted to JAMIA 

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Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data


Oct 03, 2021
Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

* This podium abstract was peer-reviewed and accepted in 2018, and presented at Medinfo-2019 in Leon France in August 2019 

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GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph


Jul 01, 2021
Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma

* 11 pages, 7 figures 

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Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks


Jun 05, 2021
Yue Wu, Yuan Lan, Luchan Zhang, Yang Xiang


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Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey


May 13, 2021
Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang


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Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey


Feb 16, 2021
Yuantian Miao, Chao Chen, Lei Pan, Qing-Long Han, Jun Zhang, Yang Xiang

* Under 3rd round review of ACM Computing Surveys 

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DeFuzz: Deep Learning Guided Directed Fuzzing


Oct 23, 2020
Xiaogang Zhu, Shigang Liu, Xian Li, Sheng Wen, Jun Zhang, Camtepe Seyit, Yang Xiang


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An Elastic Interaction-Based Loss Function for Medical Image Segmentation


Jul 06, 2020
Yuan Lan, Yang Xiang, Luchan Zhang


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Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction


May 22, 2020
Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

* L.R., X.Y., and Z.X. share first authorship of this work 

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Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text


Apr 14, 2020
Shengbin Jia, Ling Ding, Xiaojun Chen, Yang Xiang


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A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification


Nov 04, 2019
Shigang Liu, Jun Zhang, Yang Xiang, Wanlei Zhou, Dongxi Xiang

* V16 N3, International Journal of Bioinformatics Research and Applications (IJBRA), 2020 
* This paper is scheduled for inclusion in V16 N3 2020, International Journal of Bioinformatics Research and Applications (IJBRA) 

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Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models


Oct 14, 2019
Derui, Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang


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Supervised Neural Models Revitalize the Open Relation Extraction


Aug 16, 2019
Shengbin Jia, Shijia E, Yang Xiang

* arXiv admin note: substantial text overlap with arXiv:1809.09408 

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Neural Open Relation Extraction via an Overlap-aware Sequence Tagging Scheme


Jul 26, 2019
Shengbin Jia, Shijia E, Yang Xiang

* arXiv admin note: substantial text overlap with arXiv:1809.09408 

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Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples


Feb 06, 2019
Derui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang


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ML-Net: multi-label classification of biomedical texts with deep neural networks


Nov 15, 2018
Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu


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Defensive Collaborative Multi-task Training - Defending against Adversarial Attack towards Deep Neural Networks


Jul 03, 2018
Derek Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang

* 13 pages, 11 figures 

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Wikipedia Vandal Early Detection: from User Behavior to User Embedding


Jun 03, 2017
Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang

* 14 pages, 3 figures 

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Task-specific Word Identification from Short Texts Using a Convolutional Neural Network


Jun 03, 2017
Shuhan Yuan, Xintao Wu, Yang Xiang

* accepted by Intelligent Data Analysis, an International Journal 

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Representation Learning Models for Entity Search


Jan 15, 2017
Shijia E, Yang Xiang, Mohan Zhang

* This paper has been withdrawn by the author because the proposed model need to be re-evaluate 

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The Dependent Random Measures with Independent Increments in Mixture Models


Jun 27, 2016
Cheng Luo, Richard Yi Da Xu, Yang Xiang


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Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures


Apr 16, 2016
Cheng Luo, Yang Xiang, Richard Yi Da Xu


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Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?


Mar 27, 2013
Yang Xiang, Michael P. Beddoes, David L Poole

* Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989) 

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Exploring Localization in Bayesian Networks for Large Expert Systems


Mar 13, 2013
Yang Xiang, David L. Poole, Michael P. Beddoes

* Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992) 

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Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks


Feb 20, 2013
Yang Xiang

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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A Method for Implementing a Probabilistic Model as a Relational Database


Feb 20, 2013
Michael S. K. M. Wong, C. J. Butz, Yang Xiang

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Critical Remarks on Single Link Search in Learning Belief Networks


Feb 13, 2013
Yang Xiang, Michael S. K. M. Wong, N. Cercone

* Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996) 

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Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels


Feb 06, 2013
Jun Hu, Yang Xiang

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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Exploring Parallelism in Learning Belief Networks


Feb 06, 2013
TongSheng Chu, Yang Xiang

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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