| An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study Z Yang, P Bogdan, S Nazarian Scientific reports 11 (1), 3238, 2021 | 210 | 2021 |
| Multiwavelet-based operator learning for differential equations G Gupta, X Xiao, P Bogdan Advances in neural information processing systems 34, 24048-24062, 2021 | 165 | 2021 |
| An analytical approach for network-on-chip performance analysis UY Ogras, P Bogdan, R Marculescu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2010 | 156 | 2010 |
| The chip is the network: Toward a science of network-on-chip design R Marculescu, P Bogdan Foundations and Trends® in Electronic Design Automation 2 (4), 371-461, 2009 | 124 | 2009 |
| Stochastic Communication: A New Paradigm for Fault‐Tolerant Networks‐on‐Chip P Bogdan, T Dumitraş, R Marculescu VLSI design 2007 (1), 095348, 2007 | 119 | 2007 |
| Ollivier-ricci curvature-based method to community detection in complex networks J Sia, E Jonckheere, P Bogdan Scientific reports 9 (1), 9800, 2019 | 112 | 2019 |
| Non-stationary traffic analysis and its implications on multicore platform design P Bogdan, R Marculescu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2011 | 100 | 2011 |
| Reinforcement learning based power management for hybrid electric vehicles X Lin, Y Wang, P Bogdan, N Chang, M Pedram 2014 IEEE/ACM international conference on computer-aided design (ICCAD), 33-38, 2014 | 96 | 2014 |
| Biomorphic structural batteries for robotics M Wang, D Vecchio, C Wang, A Emre, X Xiao, Z Jiang, P Bogdan, ... Science robotics 5 (45), eaba1912, 2020 | 88 | 2020 |
| Self-optimizing and self-programming computing systems: A combined compiler, complex networks, and machine learning approach Y Xiao, S Nazarian, P Bogdan IEEE transactions on very large scale integration (VLSI) systems 27 (6 …, 2019 | 86 | 2019 |
| Reliable multi-fractal characterization of weighted complex networks: algorithms and implications Y Xue, P Bogdan Scientific reports 7 (1), 7487, 2017 | 86 | 2017 |
| Vroc: Variational autoencoder-aided multi-task rumor classifier based on text M Cheng, S Nazarian, P Bogdan Proceedings of the web conference 2020, 2892-2898, 2020 | 83 | 2020 |
| Efficient modeling and simulation of bacteria-based nanonetworks with BNSim G Wei, P Bogdan, R Marculescu IEEE Journal on Selected Areas in Communications 31 (12), 868-878, 2013 | 81 | 2013 |
| An optimal control approach to power management for multi-voltage and frequency islands multiprocessor platforms under highly variable workloads P Bogdan, R Marculescu, S Jain, RT Gavila 2012 IEEE/ACM Sixth international symposium on networks-on-chip, 35-42, 2012 | 78 | 2012 |
| A COVID-19 rumor dataset M Cheng, S Wang, X Yan, T Yang, W Wang, Z Huang, X Xiao, S Nazarian, ... Frontiers in Psychology 12, 644801, 2021 | 73 | 2021 |
| Towards a science of cyber-physical systems design P Bogdan, R Marculescu 2011 IEEE/ACM Second international conference on cyber-physical systems, 99-108, 2011 | 69 | 2011 |
| Machine learning-based energy management in a hybrid electric vehicle to minimize total operating cost X Lin, P Bogdan, N Chang, M Pedram 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 627-634, 2015 | 67 | 2015 |
| Svr-noc: A performance analysis tool for network-on-chips using learning-based support vector regression model Z Qian, DC Juan, P Bogdan, CY Tsui, D Marculescu, R Marculescu 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 354-357, 2013 | 66 | 2013 |
| Statistical physics approaches for network-on-chip traffic characterization P Bogdan, R Marculescu Proceedings of the 7th IEEE/ACM international conference on Hardware …, 2009 | 66 | 2009 |
| A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces Y Xue, S Rodriguez, P Bogdan 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 642-647, 2016 | 64 | 2016 |
Radu MarculescuThe University of Texas at Austin在 utexas.edu 的电子邮件经过验证
