| 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 | 223 | 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 | 206 | 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 | 177 | 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 | 118 | 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 | 92 | 2013 |
| 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 | 76 | 2019 |
| 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 | 73 | 2019 |
| 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 | 73 | 2016 |
| 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 | 71 | 2019 |
| Metric Learning from Relative Comparisons by Minimizing Squared Residual. EY Liu, Z Guo, X Zhang, V Jojic, W Wang ICDM, 978-983, 2012 | 69 | 2012 |
| 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 | 68 | 2015 |
| 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 | 65 | 2018 |
| MC-Fluid: simplified and optimally quantified S Baruah, A Easwaran, Z Guo 2015 IEEE Real-Time Systems Symposium, 327-337, 2015 | 64 | 2015 |
| Energy-efficient multi-core scheduling for real-time DAG tasks Z Guo, A Bhuiyan, A Saifullah, N Guan, H Xiong Dagstuhl Research Online Publication Server 76, 221, 2017 | 55 | 2017 |
| 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 | 53 | 2019 |
| Mixed-criticality scheduling upon varying-speed processors S Baruah, Z Guo 2013 IEEE 34th Real-Time Systems Symposium, 68-77, 2013 | 53 | 2013 |
| 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 | 49 | 2018 |
| THU and ICRC at TRECVID 2007. J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, X Liu, C Liu, S Zhu, ... TRECVID, 2007 | 49 | 2007 |
| Machine learning in real-time Internet of Things (IoT) systems: A survey J Bian, A Al Arafat, H Xiong, J Li, L Li, H Chen, J Wang, D Dou, Z Guo IEEE Internet of Things Journal 9 (11), 8364-8386, 2022 | 48 | 2022 |
| Precise scheduling of mixed-criticality tasks by varying processor speed A Bhuiyan, S Sruti, Z Guo, K Yang Proceedings of the 27th International Conference on Real-Time Networks and …, 2019 | 46* | 2019 |
Haoyi XiongMicrosoftVerified email at microsoft.com
