| 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 | 71 | 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 25 (5), 3654-3670, 2023 | 42 | 2023 |
| 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 | 40 | 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 | 37 | 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 | 36 | 2022 |
| 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 | 35 | 2022 |
| 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 | 35 | 2021 |
| 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 | 29 | 2021 |
| Enabling retrain-free deep neural network pruning using surrogate lagrangian relaxation D Gurevin University of Connecticut, 2022 | 25 | 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 | 23 | 2020 |
| 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 | 21 | 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 | 13 | 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 | 13 | 2022 |
| PASNet: polynomial architecture search framework for two-party computation-based secure neural network deployment H Peng, S Zhou, Y Luo, N Xu, S Duan, R Ran, J Zhao, C Wang, T Geng, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 11 | 2023 |
| 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 | 9 | 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 | 9 | 2020 |
| 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 | 7 | 2023 |
| Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge S Zhou, X Xu, J Bai, M Bragin Neurocomputing 512, 466-481, 2022 | 6 | 2022 |
| Polympcnet: Towards relu-free neural architecture search in two-party computation based private inference H Peng, S Zhou, Y Luo, S Duan, N Xu, R Ran, S Huang, C Wang, T Geng, ... arXiv preprint arXiv:2209.09424, 2022 | 6 | 2022 |
| 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 |
