| Federated contrastive learning for volumetric medical image segmentation Y Wu, D Zeng, Z Wang, Y Shi, J Hu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 78 | 2021 |
| Intermittent inference with nonuniformly compressed multi-exit neural network for energy harvesting powered devices Y Wu, Z Wang, Z Jia, Y Shi, J Hu 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 67 | 2020 |
| Distributed contrastive learning for medical image segmentation Y Wu, D Zeng, Z Wang, Y Shi, J Hu Medical Image Analysis 81, 102564, 2022 | 54 | 2022 |
| Enabling on-device cnn training by self-supervised instance filtering and error map pruning Y Wu, Z Wang, Y Shi, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 53 | 2020 |
| Federated contrastive learning for dermatological disease diagnosis via on-device learning Y Wu, D Zeng, Z Wang, Y Sheng, L Yang, AJ James, Y Shi, J Hu 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 46* | 2021 |
| 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 | 36 | 2021 |
| Can noise on qubits be learned in quantum neural network? a case study on quantumflow Z Liang, Z Wang, J Yang, L Yang, Y Shi, W Jiang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 35 | 2021 |
| Quantum neural network compression Z Hu, P Dong, Z Wang, Y Lin, Y Wang, W Jiang Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 32 | 2022 |
| Enabling on-device self-supervised contrastive learning with selective data contrast Y Wu, Z Wang, D Zeng, Y Shi, J Hu 2021 58th ACM/IEEE Design Automation Conference (DAC), 655-660, 2021 | 30* | 2021 |
| Decentralized unsupervised learning of visual representations Y Wu, Z Wang, D Zeng, M Li, Y Shi, J Hu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 28* | 2022 |
| Lightweight run-time working memory compression for deployment of deep neural networks on resource-constrained MCUs Z Wang, Y Wu, Z Jia, Y Shi, J Hu Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 22 | 2021 |
| Personalized deep learning for ventricular arrhythmias detection on medical IoT systems Z Jia, Z Wang, F Hong, L Ping, Y Shi, J Hu Proceedings of the 39th international conference on computer-aided design, 1-9, 2020 | 20 | 2020 |
| VENUS: A Geometrical Representation for Quantum State Visualization S Ruan, R Yuan, Q Guan, Y Lin, Y Mao, W Jiang, Z Wang, W Xu, Y Wang Computer Graphics Forum 42 (3), 247-258, 2023 | 19 | 2023 |
| Synthetic data can also teach: Synthesizing effective data for unsupervised visual representation learning Y Wu, Z Wang, D Zeng, Y Shi, J Hu Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 2866-2874, 2023 | 16 | 2023 |
| Optimizing fpga-based accelerator design for large-scale molecular similarity search (special session paper) H Peng, S Chen, Z Wang, J Yang, SA Weitze, T Geng, A Li, J Bi, M Song, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 14 | 2021 |
| Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. Z Jia, Z Wang, F Hong, L Ping, Y Shi, J Hu Proceedings of the Thirty International Joint Conference on Artificial …, 2021 | 14 | 2021 |
| Qumos: A framework for preserving security of quantum machine learning model Z Wang, J Li, Z Hu, B Gage, E Iwasawa, W Jiang 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 12 | 2023 |
| A novel spatial-temporal variational quantum circuit to enable deep learning on nisq devices J Li, Z Wang, Z Hu, P Date, A Li, W Jiang 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 9 | 2023 |
| Unlocking memorization in large language models with dynamic soft prompting Z Wang, R Bao, Y Wu, J Taylor, C Xiao, F Zheng, W Jiang, S Gao, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 6 | 2024 |
| PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud Z Wang, Y Sheng, N Koirala, K Basu, T Jung, CC Lu, W Jiang IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2024), 2024 | 4 | 2024 |
Yiyu ShiFull Professor, University of Notre DamePotvrđena adresa e-pošte na nd.edu