Jun Wang

20 papers A* 2A 2B 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices.
IEEE Trans. Mob. Comput.
Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
2022 J jnl
Parallel Dynamic Sparse Approximate Inverse Preconditioning Algorithm on GPU.
IEEE Trans. Parallel Distributed Syst.
Jiaquan Gao, Xinyue Chu, Xiaotong Wu, Jun Wang, Guixia He
2022 A conf
iCNN-Transformer: An improved CNN-Transformer with Channel-spatial Attention and Keyword Prediction for Automated Audio Captioning.
INTERSPEECH
Kun Chen, Jun Wang, Feng Deng, Xiaorui Wang
2020 J jnl
An Application-Specific Approach to Energy Optimization on Android Mobile Devices.
IEEE Trans. Mob. Comput.
Jun Wang, Karthik Rao, Handong Ye
2020 J jnl
Parallelizing GPGPU-Sim for Faster Simulation with High Fidelity.
IEEE Des. Test
Jun Wang, Jiaquan Gao
2019 A* conf
Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop.
ACM Multimedia
Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
2018 J jnl
Efficient dense matrix-vector multiplication on GPU.
Concurr. Comput. Pract. Exp.
Guixia He, Jiaquan Gao, Jun Wang
2017 J jnl
A novel multi-graphics processing unit parallel optimization framework for the sparse matrix-vector multiplication.
Concurr. Comput. Pract. Exp.
Jiaquan Gao, Yu Wang, Jun Wang
2017 A* conf
Application-Specific Performance-Aware Energy Optimization on Android Mobile Devices.
HPCA
Karthik Rao, Jun Wang, Sudhakar Yalamanchili, Yorai Wardi, Handong Ye
2017 A conf
SceneMan: Bridging mobile apps with system energy manager via scenario notification.
ISLPED
Li Li, Jun Wang, Xiaorui Wang, Handong Ye, Ziang Hu
2016 J jnl
Adaptive Optimization Modeling of Preconditioned Conjugate Gradient on Multi-GPUs.
ACM Trans. Parallel Comput.
Jiaquan Gao, Yu Wang, Jun Wang, Ronghua Liang
2016 J jnl
FNM: An Enhanced Null-Message Algorithm for Parallel Simulation of Multicore Systems.
ACM Trans. Model. Comput. Simul.
Jun Wang, Zhenjiang Dong, Sudhakar Yalamanchili, George F. Riley
2014 — conf
An efficient front-end for timing-directed parallel simulation of multi-core system.
SimuTools
Zhenjiang Dong, Jun Wang, George F. Riley, Sudhakar Yalamanchili
2014 B conf
Manifold: A parallel simulation framework for multicore systems.
ISPASS
Jun Wang, Jesse G. Beu, Rishiraj A. Bheda, Tom Conte, Zhenjiang Dong, Chad D. Kersey, Mitchelle Rasquinha, George F. Riley, William J. Song, He Xiao, Peng Xu, Sudhakar Yalamanchili
2014 J jnl
Research on the conjugate gradient algorithm with a modified incomplete Cholesky preconditioner on GPU.
J. Parallel Distributed Comput.
Jiaquan Gao, Ronghua Liang, Jun Wang
2013 B conf
A Study of the Effect of Partitioning on Parallel Simulation of Multicore Systems.
MASCOTS
Zhenjiang Dong, Jun Wang, George F. Riley, Sudhakar Yalamanchili
2013 — conf
Optimizing parallel simulation of multicore systems using domain-specific knowledge.
SIGSIM-PADS
Jun Wang, Zhenjiang Dong, Sudhakar Yalamanchili, George F. Riley
2012 — conf
Designing Configurable, Modifiable and Reusable Components for Simulation of Multicore Systems.
SC Companion
Jun Wang, Jesse G. Beu, Sudhakar Yalamanchili, Tom Conte
2011 J jnl
A hybrid quantum-inspired immune algorithm for multiobjective optimization.
Appl. Math. Comput.
Jiaquan Gao, Jun Wang
2010 J jnl
WBMOAIS: A novel artificial immune system for multiobjective optimization.
Comput. Oper. Res.
Jiaquan Gao, Jun Wang