| Channel gating neural networks W Hua, Y Zhou, CM De Sa, Z Zhang, GE Suh Advances in Neural Information Processing Systems 32, 2019 | 194 | 2019 |
| Rosetta: A realistic high-level synthesis benchmark suite for software programmable FPGAs Y Zhou, U Gupta, S Dai, R Zhao, N Srivastava, H Jin, J Featherston, ... Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 138 | 2018 |
| Fast and accurate estimation of quality of results in high-level synthesis with machine learning S Dai, Y Zhou, H Zhang, E Ustun, EFY Young, Z Zhang 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 119 | 2018 |
| HeteroCL: A multi-paradigm programming infrastructure for software-defined reconfigurable computing YH Lai, Y Chi, Y Hu, J Wang, CH Yu, Y Zhou, J Cong, Z Zhang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 102 | 2019 |
| PRIMAL: Power inference using machine learning Y Zhou, H Ren, Y Zhang, B Keller, B Khailany, Z Zhang Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 69 | 2019 |
| Boosting the performance of CNN accelerators with dynamic fine-grained channel gating W Hua, Y Zhou, C De Sa, Z Zhang, GE Suh Proceedings of the 52nd Annual IEEE/ACM international symposium on …, 2019 | 52 | 2019 |
| A new approach to automatic memory banking using trace-based address mining Y Zhou, KM Al-Hawaj, Z Zhang Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017 | 40 | 2017 |
| Logic synthesis meets machine learning: Trading exactness for generalization S Rai, WL Neto, Y Miyasaka, X Zhang, M Yu, Q Yi, M Fujita, GB Manske, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 29 | 2021 |
| Heteroflow: An accelerator programming model with decoupled data placement for software-defined fpgas S Xiang, YH Lai, Y Zhou, H Chen, N Zhang, D Pal, Z Zhang Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 22 | 2022 |
| A-QED verification of hardware accelerators E Singh, F Lonsing, S Chattopadhyay, M Strange, P Wei, X Zhang, Y Zhou, ... 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 10 | 2020 |
| Distilling arbitration logic from traces using machine learning: A case study on NoC Y Zhou, H Wang, J Yin, Z Zhang 2021 58th ACM/IEEE Design Automation Conference (DAC), 55-60, 2021 | 2 | 2021 |
| Raf: Holistic compilation for deep learning model training CH Yu, H Fan, G Huang, Z Jia, Y Liu, J Wang, Z Zheng, Y Zhou, H Shen, ... arXiv preprint arXiv:2303.04759, 2023 | 1 | 2023 |
| Trace-Based Learning for Agile Hardware Design and Design Automation Y Zhou | | 2021 |
Zhiru ZhangCornell UniversityVerified email at cornell.edu
Zhiru ZhangCornell UniversityVerified email at cornell.edu