| 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP)| 978-1-6654-2701-2/21/$31.00© 2021 IEEE| DOI: 10.1109/ASAP52443 … T Aarrestad, S Agarwal, NB Agostini, V Amatya, J Anderson, C Axenie, ... | | |
| 2022 IEEE 40th International Conference on Computer Design (ICCD)| 978-1-6654-6186-3/22/$31.00© 2022 IEEE| DOI: 10.1109/ICCD56317. 2022.00118 J Abella, D Abraham, T Adegbija, M Alam, L Albarakat, U Ali, H Ando, ... | | |
| 25 Hierarchical Electric MH Amini, P McNamara, P Weng, O Karabasoglu, Y Xu, M Raji, C Ding, ... | | 2018 |
| A compression-compilation framework for on-mobile real-time bert applications W Niu, Z Kong, G Yuan, W Jiang, J Guan, C Ding, P Zhao, S Liu, B Ren, ... arXiv preprint arXiv:2106.00526, 2021 | 3 | 2021 |
| A Deep Learning Approach for Ventricular Arrhythmias Classification Using Microcontroller Y Agrignan, S Zhou, J Bai, S Islam, S Nabavi, M Xie, C Ding 2023 24th International Symposium on Quality Electronic Design (ISQED), 1-5, 2023 | 4 | 2023 |
| A Deep Learning Model for Predicting COVID-19 Transmission in Connecticut N Choi | | 2021 |
| A DNN Compression Framework for SOT-MRAM-Based Processing-In-Memory Engine G Yuan, X Ma, S Lin, Z Li, J Deng, C Ding 2020 IEEE 33rd International System-on-Chip Conference (SOCC), 2020 | 6 | 2020 |
| A fast and effective memristor-based method for finding approximate eigenvalues and eigenvectors of non-negative matrices C Wang, ZS Jalali, C Ding, Y Wang, S Soundarajan 2018 IEEE computer society annual symposium on VLSI (ISVLSI), 563-568, 2018 | 5 | 2018 |
| A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining H Peng, S Huang, S Chen, B Li, T Geng, A Li, W Jiang, W Wen, J Bi, H Liu, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1135-1140, 2022 | 43 | 2022 |
| A majority logic synthesis framework for adiabatic quantum-flux-parametron superconducting circuits R Cai, O Chen, A Ren, N Liu, C Ding, N Yoshikawa, Y Wang Proceedings of the 2019 on Great Lakes Symposium on VLSI, 189-194, 2019 | 34 | 2019 |
| A multi-agent reinforcement learning approach for safe and efficient behavior planning of connected autonomous vehicles S Han, S Zhou, J Wang, L Pepin, C Ding, J Fu, F Miao IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
| A multi-agent reinforcement learning approach for safe and efficient behavior planning of connected autonomous vehicles S Han, S Zhou, J Wang, L Pepin, C Ding, J Fu, F Miao arXiv preprint arXiv:2003.04371, 2020 | 5 | 2020 |
| A privacy-preserving-oriented dnn pruning and mobile acceleration framework Y Gong, Z Zhan, Z Li, W Niu, X Ma, W Wang, B Ren, C Ding, X Lin, X Xu, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 119-124, 2020 | 23 | 2020 |
| A secure and efficient federated learning framework for nlp J Deng, C Wang, X Meng, Y Wang, J Li, S Lin, S Han, F Miao, ... arXiv preprint arXiv:2201.11934, 2022 | 20 | 2022 |
| A sot-mram-based processing-in-memory engine for highly compressed dnn implementation G Yuan, X Ma, S Lin, Z Li, C Ding arXiv preprint arXiv:1912.05416, 2019 | 9 | 2019 |
| A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology R Cai, A Ren, O Chen, N Liu, C Ding, X Qian, J Han, W Luo, N Yoshikawa, ... (ISCA) 2019 ACM/IEEE 46th Annual International Symposium on Computer …, 2019 | 48 | 2019 |
| A surrogate lagrangian relaxation-based model compression for deep neural networks D Gurevin, S Zhou, L Pepin, B Li, M Bragin, C Ding, F Miao arXiv preprint arXiv:2012.10079 2, 2020 | 3 | 2020 |
| A unified dnn weight compression framework using reweighted optimization methods T Zhang, X Ma, Z Zhan, S Zhou, M Qin, F Sun, YK Chen, C Ding, ... arXiv preprint arXiv:2004.05531, 2020 | 7 | 2020 |
| A unified dnn weight pruning framework using reweighted optimization methods T Zhang, X Ma, Z Zhan, S Zhou, C Ding, M Fardad, Y Wang 2021 58th ACM/IEEE Design Automation Conference (DAC), 493-498, 2021 | 24 | 2021 |
| Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks X Xie, H Peng, A Hasan, S Huang, J Zhao, H Fang, W Zhang, T Geng, ... 2023 International Conference on Computer-Aided Design (ICCAD), 2023 | 16 | 2023 |
Yanzhi WangNortheastern University在 northeastern.edu 的电子邮件经过验证
