publications

2022

1. ICML

   Metric-Fair Active Learning

   Jie Shen, Nan Cui, and Jing Wang

   International Conference on Machine Learning 2022

   Bib

   @article{shen2022metric,
     title = {Metric-Fair Active Learning},
     author = {Shen, Jie and Cui, Nan and Wang, Jing},
     journal = {International Conference on Machine Learning},
     volume = {18},
     number = {6},
     pages = {403--404},
     year = {2022},
     publisher = {American Association of Physics Teachers},
   }

2. TMLR

   Uncertainty-Based Active Learning for Reading Comprehension

   Jing Wang, Jie Shen, Xiaofei Ma, and Andrew Arnold

   Transactions on Machine Learning Research 2022

   Bib

   @article{tmlr2022,
     title = {Uncertainty-Based Active Learning for Reading Comprehension},
     author = {Wang, Jing and Shen, Jie and Ma, Xiaofei and Arnold, Andrew},
     journal = {Transactions on Machine Learning Research},
     year = {2022}
   }

3. ML

   Fast spectral analysis for approximate nearest neighbor search

   Jing Wang, and Jie Shen

   Machine Learning 2022

   Bib

   @article{wang2022fast,
     title = {Fast spectral analysis for approximate nearest neighbor search},
     author = {Wang, Jing and Shen, Jie},
     journal = {Machine Learning},
     pages = {1--26},
     year = {2022},
     publisher = {Springer},
   }

2020

1. PLOSONE

   Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing

   Mohit Pandey, Zhuoran Xu, Evan Sholle, Gabriel Maliakal, and 7 more authors

   PloS one 2020

   Bib

   @article{pandey2020extraction,
     title = {Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing},
     author = {Pandey, Mohit and Xu, Zhuoran and Sholle, Evan and Maliakal, Gabriel and Singh, Gurpreet and Fatima, Zahra and Larine, Daria and Lee, Benjamin C and Wang, Jing and van Rosendael, Alexander R and others},
     journal = {PloS one},
     volume = {15},
     number = {7},
     pages = {e0236827},
     year = {2020},
     publisher = {Public Library of Science San Francisco, CA USA}
   }

2019

1. JACC

   Deep learning based automatic segmentation of cardiac computed tomography

   Gurpreet Singh, Subhi Alaref, Gabriel Maliakal, Mohit Pandey, and 5 more authors

   Journal of the American College of Cardiology 2019

   Bib

   @article{singh2019deep,
     title = {Deep learning based automatic segmentation of cardiac computed tomography},
     author = {Singh, Gurpreet and Alaref, Subhi and Maliakal, Gabriel and Pandey, Mohit and van Rosendael, Alexander and Lee, Benjamin and Wang, Jing and Xu, Zhouran and Min, James},
     journal = {Journal of the American College of Cardiology},
     volume = {73},
     number = {9S1},
     pages = {1643--1643},
     year = {2019},
     publisher = {American College of Cardiology Foundation Washington, DC},
   }

2. JAHA

   Determinants of in-hospital mortality after percutaneous coronary intervention: a machine learning approach

   Subhi J Al’Aref, Gurpreet Singh, Alexander R Rosendael, Kranthi K Kolli, and 7 more authors

   Journal of the American Heart Association 2019

   Bib

   @article{al2019determinants,
     title = {Determinants of in-hospital mortality after percutaneous coronary intervention: a machine learning approach},
     author = {Al'Aref, Subhi J and Singh, Gurpreet and van Rosendael, Alexander R and Kolli, Kranthi K and Ma, Xiaoyue and Maliakal, Gabriel and Pandey, Mohit and Lee, Bejamin C and Wang, Jing and Xu, Zhuoran and others},
     journal = {Journal of the American Heart Association},
     volume = {8},
     number = {5},
     pages = {e011160},
     year = {2019},
     publisher = {Am Heart Assoc}
   }

2018

1. JACC

   TCT-55 Clinical Predictors of Obstructive Coronary Artery Disease in Individuals with Suspected Coronary Artery Disease

   Subhi Al’Aref, Alexander Rosendael, Gabriel Maliakal, Gurpreet Singh, and 7 more authors

   Journal of the American College of Cardiology 2018

   Bib

   @article{al2018tct,
     title = {TCT-55 Clinical Predictors of Obstructive Coronary Artery Disease in Individuals with Suspected Coronary Artery Disease},
     author = {Al'Aref, Subhi and van Rosendael, Alexander and Maliakal, Gabriel and Singh, Gurpreet and Ma, Xiaoyue and Pandey, Mohit and Wang, Jing and Do, Virginie and Kim, Timothy Suyong and Gummalla, Manasa and others},
     journal = {Journal of the American College of Cardiology},
     volume = {72},
     number = {13S},
     pages = {B24--B25},
     year = {2018},
     publisher = {American College of Cardiology Foundation Washington, DC}
   }

2. JCCT

   Machine learning in cardiac CT: basic concepts and contemporary data

   Gurpreet Singh, Subhi J Al’Aref, Marly Van Assen, Timothy Suyong Kim, and 7 more authors

   Journal of Cardiovascular Computed Tomography 2018

   Bib

   @article{singh2018machine,
     title = {Machine learning in cardiac CT: basic concepts and contemporary data},
     author = {Singh, Gurpreet and Al’Aref, Subhi J and Van Assen, Marly and Kim, Timothy Suyong and van Rosendael, Alexander and Kolli, Kranthi K and Dwivedi, Aeshita and Maliakal, Gabriel and Pandey, Mohit and Wang, Jing and others},
     journal = {Journal of Cardiovascular Computed Tomography},
     volume = {12},
     number = {3},
     pages = {192--201},
     year = {2018},
     publisher = {Elsevier}
   }

3. ICML

   Provable variable selection for streaming features

   Jing Wang, Jie Shen, and Ping Li

   2018

   Bib

   @inproceedings{wang2018provable,
     title = {Provable variable selection for streaming features},
     author = {Wang, Jing and Shen, Jie and Li, Ping},
     booktitle = {International Conference on Machine Learning},
     pages = {5171--5179},
     year = {2018},
     organization = {PMLR},
   }

2017

1. PR

   Object proposal with kernelized partial ranking

   Jing Wang, Jie Shen, and Ping Li

   Pattern Recognition 2017

   Bib

   @article{wang2017object,
     title = {Object proposal with kernelized partial ranking},
     author = {Wang, Jing and Shen, Jie and Li, Ping},
     journal = {Pattern Recognition},
     volume = {69},
     pages = {299--309},
     year = {2017},
     publisher = {Elsevier}
   }

2. WSDM

   Online matrix completion for signed link prediction

   Jing Wang, Jie Shen, Ping Li, and Huan Xu

   2017

   Bib

   @inproceedings{wang2017online,
     title = {Online matrix completion for signed link prediction},
     author = {Wang, Jing and Shen, Jie and Li, Ping and Xu, Huan},
     booktitle = {Proceedings of the Tenth ACM International Conference on Web Search and Data Mining},
     pages = {475--484},
     year = {2017},
   }

2015

1. TKDE

   Online feature selection with group structure analysis

   Jing Wang, Meng Wang, Peipei Li, Luoqi Liu, and 3 more authors

   IEEE Transactions on Knowledge and Data Engineering 2015

   Bib

   @article{wang2015online,
     title = {Online feature selection with group structure analysis},
     author = {Wang, Jing and Wang, Meng and Li, Peipei and Liu, Luoqi and Zhao, Zhongqiu and Hu, Xuegang and Wu, Xindong},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     volume = {27},
     number = {11},
     pages = {3029--3041},
     year = {2015},
     publisher = {IEEE}
   }

2. PR

   Visual data denoising with a unified Schatten-p norm and ℓq norm regularized principal component pursuit

   Jing Wang, Meng Wang, Xuegang Hu, and Shuicheng Yan

   Pattern Recognition 2015

   Bib

   @article{wang2015visual,
     title = {Visual data denoising with a unified Schatten-p norm and ℓq norm regularized principal component pursuit},
     author = {Wang, Jing and Wang, Meng and Hu, Xuegang and Yan, Shuicheng},
     journal = {Pattern Recognition},
     volume = {48},
     number = {10},
     pages = {3135--3144},
     year = {2015},
     publisher = {Elsevier}
   }

2014

1. CYBERN

   Robust face recognition via adaptive sparse representation

   Jing Wang, Canyi Lu, Meng Wang, Peipei Li, and 2 more authors

   IEEE Transactions on Cybernetics 2014

   Bib

   @article{wang2014robust,
     title = {Robust face recognition via adaptive sparse representation},
     author = {Wang, Jing and Lu, Canyi and Wang, Meng and Li, Peipei and Yan, Shuicheng and Hu, Xuegang},
     journal = {IEEE Transactions on Cybernetics},
     volume = {44},
     number = {12},
     pages = {2368--2378},
     year = {2014},
     publisher = {IEEE}
   }

2013

1. BHI

   Online learning towards big data analysis in health informatics

   Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, and 2 more authors

   2013

   Bib

   @inproceedings{wang2013online,
     title = {Online learning towards big data analysis in health informatics},
     author = {Wang, Jing and Zhao, Zhong-Qiu and Hu, Xuegang and Cheung, Yiu-ming and Hu, Haibo and Gu, Fangqing},
     booktitle = {International Conference on Brain and Health Informatics},
     pages = {516--523},
     year = {2013},
     organization = {Springer}
   }

2. ICIC

   ApLeafis: an android-based plant leaf identification system

   Lin-Hai Ma, Zhong-Qiu Zhao, and Jing Wang

   2013

   Bib

   @inproceedings{ma2013apleafis,
     title = {ApLeafis: an android-based plant leaf identification system},
     author = {Ma, Lin-Hai and Zhao, Zhong-Qiu and Wang, Jing},
     booktitle = {International Conference on Intelligent Computing},
     pages = {106--111},
     year = {2013},
     organization = {Springer}
   }

2012

1. CHINAGRID

   A heuristic algorithm for scheduling on grid computing environment

   Jing Wang, Gongqing Wu, Bin Zhang, and Xuegang Hu

   2012

   Bib

   @inproceedings{wang2012heuristic,
     title = {A heuristic algorithm for scheduling on grid computing environment},
     author = {Wang, Jing and Wu, Gongqing and Zhang, Bin and Hu, Xuegang},
     booktitle = {2012 Seventh ChinaGrid Annual Conference},
     pages = {36--42},
     year = {2012},
     organization = {IEEE}
   }