| Against membership inference attack: Pruning is all you need Y Wang, C Wang, Z Wang, S Zhou, H Liu, J Bi, C Ding, S Rajasekaran arXiv preprint arXiv:2008.13578, 2020 | 59 | 2020 |
| Exploration of quantum neural architecture by mixing quantum neuron designs Z Wang, Z Liang, S Zhou, C Ding, Y Shi, W Jiang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 35 | 2021 |
| An end-to-end multi-task object detection using embedded gpu in autonomous driving S Zhou, M Xie, Y Jin, F Miao, C Ding 2021 22nd International Symposium on Quality Electronic Design (ISQED), 122-128, 2021 | 30 | 2021 |
| 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 | 27 | 2021 |
| On the design of quantum graph convolutional neural network in the nisq-era and beyond Z Hu, J Li, Z Pan, S Zhou, L Yang, C Ding, O Khan, T Geng, W Jiang 2022 IEEE 40th International Conference on Computer Design (ICCD), 290-297, 2022 | 26 | 2022 |
| Binary complex neural network acceleration on fpga H Peng, S Zhou, S Weitze, J Li, S Islam, T Geng, A Li, W Zhang, M Song, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 24 | 2021 |
| Enabling fast deep learning on tiny energy-harvesting IoT devices S Islam, J Deng, S Zhou, C Pan, C Ding, M Xie 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 921-926, 2022 | 23 | 2022 |
| Enabling retrain-free deep neural network pruning using surrogate lagrangian relaxation D Gurevin University of Connecticut, 2022 | 23 | 2022 |
| An efficient deep reinforcement learning framework for uavs S Zhou, B Li, C Ding, L Lu, C Ding 2020 21st International Symposium on Quality Electronic Design (ISQED), 323-328, 2020 | 19 | 2020 |
| 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 | 17 | 2023 |
| Rrnet: Towards relu-reduced neural network for two-party computation based private inference H Peng, S Zhou, Y Luo, N Xu, S Duan, R Ran, J Zhao, S Huang, X Xie, ... arXiv preprint arXiv:2302.02292, 2023 | 16 | 2023 |
| Eve: Environmental adaptive neural network models for low-power energy harvesting system S Islam, S Zhou, R Ran, YF Jin, W Wen, C Ding, M Xie Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 9 | 2022 |
| An intermittent OTA approach to update the DL weights on energy harvesting devices W Wei, S Islam, J Banerjee, S Zhou, C Pan, C Ding, M Xie 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022 | 8 | 2022 |
| 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 | 8 | 2020 |
| Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data S ZHOU, P BRACA, S MARANO, P WILLETT, LM MILLEFIORI, ... IEEE Access 9, 134384-134401, 2021 | 7 | 2021 |
| 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 |
| Mcmia: Model compression against membership inference attack in deep neural networks Y Wang, C Wang, Z Wang, S Zhou, H Liu, J Bi, C Ding, S Rajasekaran arXiv preprint arXiv:2008.13578 2, 2020 | 6 | 2020 |
| Jump: a fast deterministic algorithm to find the closest pair of subsequences X Cai, S Zhou, S Rajasekaran Proceedings of the 2018 SIAM International Conference on Data Mining, 73-80, 2018 | 6 | 2018 |
| 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 | 5 | 2023 |
| Pasnet: Polynomial architecture search framework for two-party computation-based secure neural network deployment. In 2023 60th ACM/IEEE Design Automation Conference (DAC) H Peng, S Zhou, Y Luo, N Xu, S Duan, R Ran, J Zhao, C Wang, T Geng, ... IEEE, 2023 | 5 | 2023 |
