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David S. Rosenblum
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Generalizing Neural Networks by Reflecting Deviating Data in Production


Oct 06, 2021
Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong

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Directed Graph Convolutional Network


Apr 29, 2020
Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim

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Revisiting Convolutional Neural Networks for Urban Flow Analytics


Feb 28, 2020
Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum

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Fine-Grained Urban Flow Inference


Feb 05, 2020
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum

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* 16 pages. arXiv admin note: substantial text overlap with arXiv:1902.05377 
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MMKG: Multi-Modal Knowledge Graphs


Mar 13, 2019
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

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* ESWC 2019 
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UrbanFM: Inferring Fine-Grained Urban Flows


Feb 06, 2019
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng

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An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition


Jan 04, 2017
Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, Li Cheng, David S. Rosenblum

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