Zhishan Guo
Zhishan Guo
Associate Professor at North Carolina State University
Verified email at - Homepage
Cited by
Cited by
Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance
JJ Crowley, V Zhabotynsky, W Sun, S Huang, IK Pakatci, Y Kim, JR Wang, ...
Nature genetics 47 (4), 353-360, 2015
Understanding the impact of COVID-19 intervention policies on the hospitality labor market
A Huang, C Makridis, M Baker, M Medeiros, Z Guo
International Journal of Hospitality Management 91, 102660, 2020
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization
Q Liu, Z Guo, J Wang
Neural Networks 26, 99-109, 2012
A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraints
Z Guo, Q Liu, J Wang
IEEE Transactions on Neural Networks 22 (12), 1892-1900, 2011
Flexible and robust co-regularized multi-domain graph clustering
W Cheng, X Zhang, Z Guo, Y Wu, PF Sullivan, W Wang
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Metric Learning from Relative Comparisons by Minimizing Squared Residual.
EY Liu, Z Guo, X Zhang, V Jojic, W Wang
ICDM, 978-983, 2012
Energy-efficient real-time scheduling of DAG tasks
A Bhuiyan, Z Guo, A Saifullah, N Guan, H Xiong
ACM Transactions on Embedded Computing Systems (TECS) 17 (5), 1-25, 2018
EDF schedulability analysis on mixed-criticality systems with permitted failure probability
Z Guo, L Santinelli, K Yang
2015 IEEE 21st International Conference on Embedded and Real-Time Computing …, 2015
Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors
S Baruah, A Burns, Z Guo
2016 28th Euromicro Conference on Real-Time Systems (ECRTS), 131-138, 2016
Data-driven robust control of discrete-time uncertain linear systems via off-policy reinforcement learning
Y Yang, Z Guo, H Xiong, DW Ding, Y Yin, DC Wunsch
IEEE transactions on neural networks and learning systems 30 (12), 3735-3747, 2019
MC-Fluid: simplified and optimally quantified
S Baruah, A Easwaran, Z Guo
2015 IEEE Real-Time Systems Symposium, 327-337, 2015
Intra-task priority assignment in real-time scheduling of DAG tasks on multi-cores
Q He, N Guan, Z Guo
IEEE Transactions on Parallel and Distributed Systems 30 (10), 2283-2295, 2019
Energy-efficient multi-core scheduling for real-time DAG tasks
Z Guo, A Bhuiyan, A Saifullah, N Guan, H Xiong
29th Euromicro conference on real-time systems (ECRTS 2017), 2017
Mixed-criticality scheduling upon varying-speed processors
S Baruah, Z Guo
2013 IEEE 34th Real-Time Systems Symposium, 68-77, 2013
THU and ICRC at TRECVID 2007.
J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, X Liu, C Liu, S Zhu, ...
SmartPC: Hierarchical pace control in real-time federated learning system
L Li, H Xiong, Z Guo, J Wang, CZ Xu
2019 IEEE Real-Time Systems Symposium (RTSS), 406-418, 2019
Graph-regularized dual Lasso for robust eQTL mapping
W Cheng, X Zhang, Z Guo, Y Shi, W Wang
Bioinformatics 30 (12), i139-i148, 2014
Energy-efficient real-time scheduling of DAGs on clustered multi-core platforms
Z Guo, A Bhuiyan, D Liu, A Khan, A Saifullah, N Guan
2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2019
Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor
S Baruah, Z Guo
2014 IEEE Real-Time Systems Symposium, 31-40, 2014
Uniprocessor mixed-criticality scheduling with graceful degradation by completion rate
Z Guo, K Yang, S Vaidhun, S Arefin, SK Das, H Xiong
2018 IEEE Real-Time Systems Symposium (RTSS), 373-383, 2018
The system can't perform the operation now. Try again later.
Articles 1–20