Jian Gao

Orcid: 0000-0001-5348-8714

Affiliations:
  • New York University, Department of Computer Science and Engineering, New York City, NY, USA
  • Tongji University, Department of Control Science and Engineering, Shanghai, China


According to our database1, Jian Gao authored at least 11 papers between 2014 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Distributed Mean-Field-Type Filters for Traffic Networks.
IEEE Trans. Intell. Transp. Syst., 2019

Nonparallel Emotional Speech Conversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Distributionally Robust Games: Wasserstein Metric.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Distributionally Robust Games, Part I: f-Divergence and Learning.
CoRR, 2017

Empathy and berge equilibria in the forwarding dilemma in relay-enabled networks.
Proceedings of the International Conference on Wireless Networks and Mobile Communications, 2017

Distributionally Robust Games: f-Divergence and Learning.
Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools, 2017

Correlative mean-field filter for sequential and spatial data processing.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

Distributed mean-field-type filter for vehicle tracking.
Proceedings of the 2017 American Control Conference, 2017

2016
An affine invariant approach for dense wide baseline image matching.
Int. J. Distributed Sens. Networks, 2016

Distributed Mean-Field-Type Filters for Big Data Assimilation.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2014
A Rotation and Scale Invariant Approach for Dense Wide Baseline Matching.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014


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