Petko Georgiev

According to our database1, Petko Georgiev authored at least 20 papers between 2012 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Squeezing Deep Learning into Mobile and Embedded Devices.
IEEE Pervasive Computing, 2017

Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations.
IMWUT, 2017

StarCraft II: A New Challenge for Reinforcement Learning.
CoRR, 2017

Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading.
Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

2016
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

2015
Can Deep Learning Revolutionize Mobile Sensing?
Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, 2015

An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices.
Proceedings of the 2015 International Workshop on Internet of Things towards Applications, 2015

ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation.
Proceedings of the 13th Annual International Conference on Mobile Systems, 2015

Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices.
Proceedings of the 2015 on MobiSys PhD Forum, Florence, Italy, 2015

DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
The Call of the Crowd: Event Participation in Location-based Social Services.
CoRR, 2014

Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data.
CoRR, 2014

DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones.
CoRR, 2014

DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones.
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014

Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

The Call of the Crowd: Event Participation in Location-Based Social Services.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2012
A Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter.
Proceedings of the Social Informatics, 2012


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