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08/25/2022
Anytime-Lidar: Deadline-aware 3D Object Detection
In this work, we present a novel scheduling framework enabling anytime p...
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05/13/2021
CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
Video cameras are pervasively deployed in city scale for public good or ...
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11/02/2020
Scheduling Real-time Deep Learning Services as Imprecise Computations
The paper presents an efficient real-time scheduling algorithm for intel...
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10/31/2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of controllable variational autoenc...
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10/05/2020
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling
We study the problem of modeling human mobility from semantic trace data...
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09/15/2020
Challenging β-VAE with β< 1 for Disentanglement Via Dynamic Learning
This paper challenges the common assumption that the weight of β-VAE sho...
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05/11/2020
Hypergraph Learning with Line Expansion
Previous hypergraph expansions are solely carried out on either vertex l...
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04/13/2020
paper2repo: GitHub Repository Recommendation for Academic Papers
GitHub has become a popular social application platform, where a large n...
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04/13/2020
Controllable Variational Autoencoder
Variational Autoencoders (VAE) and their variants have been widely used ...
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03/30/2020
Revisiting "Over-smoothing" in Deep GCNs
Oversmoothing has been assumed to be the major cause of performance drop...
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02/13/2020
Disentangling Overlapping Beliefs by Structured Matrix Factorization
Much work on social media opinion polarization focuses on identifying se...
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02/21/2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Recent advances in deep learning motivate the use of deep neural network...
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09/19/2018
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices
Deep neural networks show great potential as solutions to many sensing a...
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06/05/2017
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
Recent advances in deep learning motivate the use of deep neutral networ...
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11/07/2016
