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Ying Liu

Tsinghua University

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network


May 31, 2021
Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Zhaoxiang Ye

* ICIP2021 

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A Large-Scale Benchmark for Food Image Segmentation


May 12, 2021
Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun

* 16 pages 

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K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce


Apr 14, 2021
Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, Bowen Zhou


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A Knowledge Graph based Approach for Mobile Application Recommendation


Sep 18, 2020
Mingwei Zhang, Jiawei Zhao, Hai Dong, Ke Deng, Ying Liu

* 15 pages. The 18th International Conference on Service Oriented Computing (ICSOC 2020) (2020) 

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Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders


Sep 16, 2020
Xiaohong Chen, Ying Liu, Shujie Ma, Zheng Zhang


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GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation


Aug 06, 2020
Ying Liu, Wenhong Cai, Xiaohui Yuan, Jinhai Xiang


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Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk


Oct 31, 2019
Suzanne C Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien PW Pluim, Rulla M Tamimi, Yujing J Heng, Mitko Veta


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Unstructured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction


Dec 04, 2018
Chenglei Niu, Guojing Zhong, Ying Liu, Yandong Zhang, Yongsheng Sun, Ailong He, Zhaoji Chen


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Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval


Nov 25, 2018
Yaochen Li, Ying Liu, Rui Sun, Rui Guo, Li Zhu, Yong Qi


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A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification


Oct 16, 2018
Yunan Wu, Feng Yang, Ying Liu, Xuefan Zha, Shaofeng Yuan

* 4 pages, 5 figures, 3 tables 

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Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks


Jun 19, 2018
Qiqi Zhang, Ying Liu

* 5 pages, 6 figures 

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A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection


Feb 25, 2018
Kun Hu, Zhe Li, Ying Liu, Luyin Cheng, Qi Yang, Yan Li

* 14 pages, 6 Figures 

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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications


Feb 12, 2018
Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao

* 12 pages (including references), 17 figures, submitted to WWW 2018: The 2018 Web Conference, April 23--27, 2018, Lyon, France. The contents discarded from the conference version due to the 9-page limitation are also included in this version 

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Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data


Jan 28, 2018
Ning Liu, Ying Liu, Brent Logan, Zhiyuan Xu, Jian Tang, Yanzhi Wang


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Three IQs of AI Systems and their Testing Methods


Dec 14, 2017
Feng Liu, Yong Shi, Ying Liu

* 15 pages, 5 figures 

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Intelligence Quotient and Intelligence Grade of Artificial Intelligence


Oct 04, 2017
Feng Liu, Yong Shi, Ying Liu

* Annals of Data Science, June 2017, Volume 4, Issue 2, pp 179-191 

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Image Type Water Meter Character Recognition Based on Embedded DSP


Aug 27, 2015
Ying Liu, Yan-bin Han, Yu-lin Zhang


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Learning Gaussian Graphical Models with Observed or Latent FVSs


Nov 10, 2013
Ying Liu, Alan S. Willsky


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Feedback Message Passing for Inference in Gaussian Graphical Models


May 10, 2011
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky

* 30 pages 

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