Xueshi Hou

According to our database1, Xueshi Hou authored at least 14 papers between 2014 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Predictive Adaptive Streaming to Enable Mobile 360-Degree and VR Experiences.
IEEE Trans. Multim., 2021

Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges.
IEEE Commun. Surv. Tutorials, 2021

2020
Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences.
IEEE Open J. Commun. Soc., 2020

2019
Quantitative analysis for capabilities of vehicular fog computing.
Inf. Sci., 2019

Jamcloud: Turning Traffic Jams Into Computation Opportunities-Whose Time Has Come.
IEEE Access, 2019

Head and Body Motion Prediction to Enable Mobile VR Experiences with Low Latency.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Predictive View Generation to Enable Mobile 360-degree and VR Experiences.
Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network, 2018

Optimal Design of S Band with Graphene Frequency Multiplier.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Wireless VR/AR with Edge/Cloud Computing.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2016
Modeling the Impact of Mobility on the Connectivity of Vehicular Networks in Large-Scale Urban Environments.
IEEE Trans. Veh. Technol., 2016

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures.
IEEE Trans. Veh. Technol., 2016

A Novel Hyper-Cast Approach to Enable Cloud-Based Virtual Classroom Applications.
Proceedings of the IEEE International Symposium on Multimedia, 2016

2014
Facial expression recognition and generation using sparse autoencoder.
Proceedings of the International Conference on Smart Computing, 2014


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