Baoliang Li

According to our database1, Baoliang Li authored at least 12 papers between 2009 and 2014.

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

Timeline

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Links

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Bibliography

2014
Classification of land cover based on deep belief networks using polarimetric RADARSAT-2 data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
An independent but not identically distributed bit error model for heavy-tailed wireless channels.
J. Zhejiang Univ. Sci. C, 2013

A novel user scheduling for multiuser MIMO systems with Block Diagonalization.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

CPNoC: An Energy-Efficient Photonic Network-on-Chip.
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012
A Max-Plus Algebra Approach for Network-on-Chip End-to-End Delay Estimation.
Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012

CBEEC: A Content-Based Error Estimation Coding Framework.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

HCEM: A new class of bit-level hybrid channel error model.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

A Double-Links Scheme for DSDV in Mobile Ad Hoc Networks.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

A Highly Scalable Butterfly-Based Photonic Network-on-Chip.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

An Improved Wireless Sensor Networks Routing Protocol Based on AODV.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

TDOIN: A Novel Three-Dimensional Optical Interconnection Network for High Performance Computer.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2009
Signal Feature Extraction base on Fractal Dimensions of Time-frequency Domain.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


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