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Reverse-engineering Bar Charts Using Neural Networks

Sep 05, 2020
Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, Ying Zhao


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On the Replicability and Reproducibility of Deep Learning in Software Engineering

Jun 25, 2020
Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, Xiaohu Yang


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Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation

Jan 28, 2020
Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou

* 33 pages, 14 figures, 14 tables, article, Co-author: Xiaoli Liu and Pan Hu, Co-correspondence: Feihu Zhou and Zhengbo Zhang 

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Dual Learning-based Video Coding with Inception Dense Blocks

Nov 22, 2019
Chao Liu, Heming Sun, Junan Chen, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto, Xiaoyang Zeng, Yibo Fan


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Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net

Oct 21, 2019
He Tang, Xiaobing Pei, Shilong Huang, Xin Li, Chao Liu


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MIOpen: An Open Source Library For Deep Learning Primitives

Sep 30, 2019
Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Chao Liu, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, Ilya Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga


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Salient Instance Segmentation via Subitizing and Clustering

Sep 29, 2019
Jialun Pei, He Tang, Chao Liu, Chuanbo Chen


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DELTA: A DEep learning based Language Technology plAtform

Aug 02, 2019
Kun Han, Junwen Chen, Hui Zhang, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yulong Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li

* White paper for an open source library: https://github.com/didi/delta. 13 pages, 3 figures 

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Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Jan 09, 2019
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz


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Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems

May 31, 2018
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar

* 42 pages, 5 figures. arXiv admin note: text overlap with arXiv:1605.06421 

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Data-driven root-cause analysis for distributed system anomalies

May 31, 2018
Chao Liu, Kin Gwn Lore, Soumik Sarkar

* 6 pages, 3 figures 

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Predicting County Level Corn Yields Using Deep Long Short Term Memory Models

May 30, 2018
Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar

* 26 pages, 10 figures 

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Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application

Apr 18, 2018
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang

* 10 pages, 10 figures 

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Energy Prediction using Spatiotemporal Pattern Networks

Feb 03, 2017
Zhanhong Jiang, Chao Liu, Adedotun Akintayo, Gregor Henze, Soumik Sarkar

* 31 Pages, 24 Figures Preprint Submitted to Journal of Applied Energy 

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An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS

May 20, 2016
Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

* ICCPS 2016 

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TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings

Jun 18, 2012
Chao Liu, Yi-Min Wang

* ICML2012 

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