| The larger the fairer? small neural networks can achieve fairness for edge devices Y Sheng, J Yang, Y Wu, K Mao, Y Shi, J Hu, W Jiang, L Yang Proceedings of the 59th ACM/IEEE Design Automation Conference, 163-168, 2022 | 23 | 2022 |
| 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 | 22 | 2021 |
| On-device unsupervised image segmentation J Yang, Y Sheng, Y Zhang, W Jiang, L Yang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 13 | 2023 |
| Federated contrastive learning for dermatological disease diagnosis via on-device learning. In 2021 IEEE Y Wu, D Zeng, Z Wang, Y Sheng, L Yang, AJ James, Y Shi, J Hu ACM International Conference On Computer Aided Design (ICCAD), 1-7, 0 | 12 | |
| Fl-disco: Federated generative adversarial network for graph-based molecule drug discovery: Special session paper D Manu, Y Sheng, J Yang, J Deng, T Geng, A Li, C Ding, W Jiang, L Yang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 10 | 2021 |
| Federated self-supervised contrastive learning and masked autoencoder for dermatological disease diagnosis Y Wu, D Zeng, Z Wang, Y Sheng, L Yang, AJ James, Y Shi, J Hu arXiv preprint arXiv:2208.11278, 2022 | 8 | 2022 |
| Hardware-aware automated architecture search for brain-inspired hyperdimensional computing J Yang, VKR Yasa, Y Sheng, D Reis, X Jiao, W Jiang, L Yang 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 352-357, 2022 | 6 | 2022 |
| Automated architecture search for brain-inspired hyperdimensional computing J Yang, Y Sheng, S Zhang, R Wang, K Foreman, M Paige, X Jiao, W Jiang, ... arXiv preprint arXiv:2202.05827, 2022 | 6 | 2022 |
| Muffin: A framework toward multi-dimension ai fairness by uniting off-the-shelf models Y Sheng, J Yang, L Yang, Y Shi, J Hu, W Jiang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 4 | 2023 |
| A Physics-guided Generative AI Toolkit for Geophysical Monitoring J Yang, H Wang, Y Sheng, Y Lin, L Yang arXiv preprint arXiv:2401.03131, 2024 | 3 | 2024 |
| Toward fair and efficient hyperdimensional computing Y Sheng, J Yang, W Jiang, L Yang Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 3 | 2023 |
| 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 arXiv preprint arXiv:2404.13475, 2024 | 2 | 2024 |
| Enhanced AI for Science using Diffusion-based Generative AI-A Case Study on Ultrasound Computing Tomography J Yang, Y Sheng, Y Zhang, H Wang, Y Lin, L Yang Proceedings of the Great Lakes Symposium on VLSI 2024, 754-759, 2024 | | 2024 |
| Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook Y Sheng, J Yang, Y Lin, W Jiang, L Yang Proceedings of the Great Lakes Symposium on VLSI 2024, 748-753, 2024 | | 2024 |
| TrojFair: Trojan Fairness Attacks M Zheng, J Xue, Y Sheng, L Yang, Q Lou, L Jiang arXiv preprint arXiv:2312.10508, 2023 | | 2023 |
| Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models C Yang, Y Sheng, P Dong, Z Kong, Y Li, P Yu, L Yang, X Lin, Y Wang 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | | 2023 |
| Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge C Yang, Y Sheng, P Dong, Z Kong, Y Li, P Yu, L Yang, X Lin 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-2, 2023 | | 2023 |
Lei YangGeorge Mason University在 gmu.edu 的电子邮件经过验证
