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10/06/2021
Generalizing Neural Networks by Reflecting Deviating Data in Production
Trained with a sufficiently large training and testing dataset, Deep Neu...
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03/03/2021
Self-Checking Deep Neural Networks in Deployment
The widespread adoption of Deep Neural Networks (DNNs) in important doma...
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04/29/2020
Directed Graph Convolutional Network
Graph Convolutional Networks (GCNs) have been widely used due to their o...
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02/28/2020
Revisiting Convolutional Neural Networks for Urban Flow Analytics
Convolutional Neural Networks (CNNs) have been widely adopted in raster-...
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02/05/2020
Fine-Grained Urban Flow Inference
The ubiquitous deployment of monitoring devices in urban flow monitoring...
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03/13/2019
MMKG: Multi-Modal Knowledge Graphs
We present MMKG, a collection of three knowledge graphs that contain bot...
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02/06/2019
UrbanFM: Inferring Fine-Grained Urban Flows
Urban flow monitoring systems play important roles in smart city efforts...
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01/04/2017
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Complex activity recognition is challenging due to the inherent uncertai...
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11/07/2016