Jun Wang

Orcid: 0000-0003-2334-8344

Affiliations:
  • Huawei US R&D, Santa Clara, CA, USA
  • Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA (former)
  • McGill University, Montreal, Canada (PhD 2010)


According to our database1, Jun Wang authored at least 20 papers between 2010 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices.
IEEE Trans. Mob. Comput., 2023

2022
Parallel Dynamic Sparse Approximate Inverse Preconditioning Algorithm on GPU.
IEEE Trans. Parallel Distributed Syst., 2022

iCNN-Transformer: An improved CNN-Transformer with Channel-spatial Attention and Keyword Prediction for Automated Audio Captioning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2020
An Application-Specific Approach to Energy Optimization on Android Mobile Devices.
IEEE Trans. Mob. Comput., 2020

Parallelizing GPGPU-Sim for Faster Simulation with High Fidelity.
IEEE Des. Test, 2020

2019
Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
Efficient dense matrix-vector multiplication on GPU.
Concurr. Comput. Pract. Exp., 2018

2017
A novel multi-graphics processing unit parallel optimization framework for the sparse matrix-vector multiplication.
Concurr. Comput. Pract. Exp., 2017

SceneMan: Bridging mobile apps with system energy manager via scenario notification.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Application-Specific Performance-Aware Energy Optimization on Android Mobile Devices.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

2016
Adaptive Optimization Modeling of Preconditioned Conjugate Gradient on Multi-GPUs.
ACM Trans. Parallel Comput., 2016

FNM: An Enhanced Null-Message Algorithm for Parallel Simulation of Multicore Systems.
ACM Trans. Model. Comput. Simul., 2016

2014
Research on the conjugate gradient algorithm with a modified incomplete Cholesky preconditioner on GPU.
J. Parallel Distributed Comput., 2014

An efficient front-end for timing-directed parallel simulation of multi-core system.
Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques, 2014

Manifold: A parallel simulation framework for multicore systems.
Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software, 2014

2013
Optimizing parallel simulation of multicore systems using domain-specific knowledge.
Proceedings of the SIGSIM Principles of Advanced Discrete Simulation, 2013

A Study of the Effect of Partitioning on Parallel Simulation of Multicore Systems.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

2012
Designing Configurable, Modifiable and Reusable Components for Simulation of Multicore Systems.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011
A hybrid quantum-inspired immune algorithm for multiobjective optimization.
Appl. Math. Comput., 2011

2010
WBMOAIS: A novel artificial immune system for multiobjective optimization.
Comput. Oper. Res., 2010


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