Deep reinforcement learning for building HVAC control T Wei, Y Wang, Q Zhu Proceedings of the 54th annual design automation conference 2017, 1-6, 2017 | 494 | 2017 |
Addressing class imbalance in federated learning L Wang, S Xu, X Wang, Q Zhu Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10165 …, 2021 | 239 | 2021 |
Period optimization for hard real-time distributed automotive systems A Davare, Q Zhu, M Di Natale, C Pinello, S Kanajan, ... Proceedings of the 44th annual Design Automation Conference, 278-283, 2007 | 224 | 2007 |
Reachnn: Reachability analysis of neural-network controlled systems C Huang, J Fan, W Li, X Chen, Q Zhu ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-22, 2019 | 180 | 2019 |
Design automation of cyber-physical systems: Challenges, advances, and opportunities SA Seshia, S Hu, W Li, Q Zhu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 168 | 2016 |
A next-generation design framework for platform-based design A Davare, D Densmore, T Meyerowitz, A Pinto, A Sangiovanni-Vincentelli, ... Conference on Using Hardware Design and Verification Languages (DVCon) 152, 2007 | 156 | 2007 |
Optimization of task allocation and priority assignment in hard real-time distributed systems Q Zhu, H Zeng, W Zheng, MDI Natale, A Sangiovanni-Vincentelli ACM Transactions on Embedded Computing Systems (TECS) 11 (4), 1-30, 2013 | 119 | 2013 |
SAT sweeping with local observability don't-cares Q Zhu, N Kitchen, A Kuehlmann, A Sangiovanni-Vincentelli Design Automation Conference, 2006 43rd ACM/IEEE, 229-234, 2006 | 119 | 2006 |
Federated class-incremental learning J Dong, L Wang, Z Fang, G Sun, S Xu, X Wang, Q Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 114 | 2022 |
Definition of task allocation and priority assignment in hard real-time distributed systems W Zheng, Q Zhu, M Di Natale, AS Vincentelli 28th IEEE International Real-Time Systems Symposium (RTSS 2007), 161-170, 2007 | 108 | 2007 |
Automotive cyber–physical systems: A tutorial introduction S Chakraborty, MA Al Faruque, W Chang, D Goswami, M Wolf, Q Zhu IEEE Design & Test 33 (4), 92-108, 2016 | 103 | 2016 |
Security-aware mapping for CAN-based real-time distributed automotive systems CW Lin, Q Zhu, C Phung, A Sangiovanni-Vincentelli 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 115-121, 2013 | 93 | 2013 |
metroII: A design environment for cyber-physical systems A Davare, D Densmore, L Guo, R Passerone, AL Sangiovanni-Vincentelli, ... ACM Transactions on Embedded Computing Systems (TECS) 12 (1s), 1-31, 2013 | 90 | 2013 |
Cross-layer codesign for secure cyber-physical systems B Zheng, P Deng, R Anguluri, Q Zhu, F Pasqualetti IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 80 | 2016 |
Deep reinforcement learning: Framework, applications, and embedded implementations H Li, T Wei, A Ren, Q Zhu, Y Wang 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 847-854, 2017 | 79 | 2017 |
Reachnn*: A tool for reachability analysis of neural-network controlled systems J Fan, C Huang, X Chen, W Li, Q Zhu International Symposium on Automated Technology for Verification and …, 2020 | 76 | 2020 |
Proactive demand participation of smart buildings in smart grid T Wei, Q Zhu, N Yu IEEE Transactions on Computers 65 (5), 1392-1406, 2015 | 76 | 2015 |
Optimizing the software architecture for extensibility in hard real-time distributed systems Q Zhu, Y Yang, M Natale, E Scholte, A Sangiovanni-Vincentelli IEEE Transactions on Industrial Informatics 6 (4), 621-636, 2010 | 71 | 2010 |
Peak-aware online economic dispatching for microgrids Y Zhang, MH Hajiesmaili, S Cai, M Chen, Q Zhu Proceedings of the 2015 ACM Sixth International Conference on Future Energy …, 2015 | 70 | 2015 |
Eavesdrop the composition proportion of training labels in federated learning L Wang, S Xu, X Wang, Q Zhu arXiv preprint arXiv:1910.06044, 2019 | 67 | 2019 |