| 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 | 108 | 2019 |
| Accelerating coverage directed test generation for functional verification: A neural network-based framework F Wang, H Zhu, P Popli, Y Xiao, P Bodgan, S Nazarian Proceedings of the 2018 Great Lakes Symposium on VLSI, 207-212, 2018 | 69 | 2018 |
| A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach Y Xiao, Y Xue, S Nazarian, P Bogdan 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 217-224, 2017 | 66 | 2017 |
| Plasticity-on-chip design: Exploiting self-similarity for data communications Y Xiao, S Nazarian, P Bogdan IEEE Transactions on Computers 70 (6), 950-962, 2021 | 38 | 2021 |
| Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy Y Xiao, S Nazarian, P Bogdan 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018 | 35 | 2018 |
| Self-optimizing and self-programming computing systems: a combined compiler, complex networks, and machine learning approach PB Bogdan, S Nazarian, Y Xiao US Patent 12,468,929, 2025 | 20 | 2025 |
| A stochastic quantum program synthesis framework based on Bayesian optimization Y Xiao, S Nazarian, P Bogdan Scientific Reports 11 (1), 13138, 2021 | 18 | 2021 |
| A design methodology for energy-aware processing in unmanned aerial vehicles J He, Y Xiao, C Bogdan, S Nazarian, P Bogdan ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (1 …, 2021 | 17 | 2021 |
| End-to-end programmable computing systems Y Xiao, G Ma, NK Ahmed, M Capotă, TL Willke, S Nazarian, P Bogdan Communications Engineering 2 (1), 84, 2023 | 14 | 2023 |
| A distributed graph-theoretic framework for automatic parallelization in multi-core systems G Ma, Y Xiao, T Willke, N Ahmed, S Nazarian, P Bogdan Proceedings of Machine Learning and Systems 3, 550-568, 2021 | 14 | 2021 |
| Learning code representations using multifractal-based graph networks G Ma, Y Xiao, M Capotă, TL Willke, S Nazarian, P Bogdan, NK Ahmed 2021 IEEE International Conference on Big Data (Big Data), 1858-1866, 2021 | 11 | 2021 |
| GAHLS: an optimized graph analytics based high level synthesis framework Y Xiao, S Nazarian, P Bogdan Scientific Reports 13 (1), 22655, 2023 | 9 | 2023 |
| A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach. In 2017 IEEE Y Xiao, Y Xue, S Nazarian, P Bogdan ACM International Conference on Computer-Aided Design (ICCAD), 217-224, 0 | 9 | |
| Taming extreme heterogeneity via machine learning based design of autonomous manycore systems P Bogdan, F Chen, A Deshwal, JR Doppa, BK Joardar, H Li, S Nazarian, ... Proceedings of the International Conference on Hardware/Software Codesign …, 2019 | 6 | 2019 |
| Prometheus: processing-in-memory heterogenous architecture design from a multi-layer network theoretic strategy PB Bogdan, S Nazarian, Y Xiao US Patent 11,436,258, 2022 | 5 | 2022 |
| End-to-end mapping in heterogeneous systems using graph representation learning Y Xiao, G Ma, NK Ahmed, M Capota, T Willke, S Nazarian, P Bogdan arXiv preprint arXiv:2204.11981, 2022 | 3 | 2022 |
| A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems G Ma, Y Xiao, TL Willke, NK Ahmed, S Nazarian, P Bogdan arXiv preprint arXiv:2010.04414, 2020 | 3 | 2020 |
| Exploiting Application-to-Architecture Dependencies for Designing Scalable OS Y Xiao, N Kanakaris, A Cheng, C Yin, NK Ahmed, S Nazarian, A Irimia, ... ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | 2 | 2025 |
| Structural Code Representation Learning for Auto-Vectorization Y Xiao, N Ahmed, M Capotă, G Ma, TL Willke, S Nazarian, P Bogdan | 1 | 2022 |
| Deep Graph Learning for Program Analysis and System Optimization Y Xiao, G Ma, NK Ahmed, TL Willke, S Nazarian, P Bogdan Workshop on Graph Neural Networks and Systems (GNNSys). https://gnnsys …, 2021 | 1 | 2021 |
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticeVerified email at usc.edu
