| Positional contrastive learning for volumetric medical image segmentation D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang, J Zhuang, J Hu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 91 | 2021 |
| 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 | 60 | 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), 2020 | 59 | 2020 |
| 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 | 50 | 2020 |
| Fairprune: Achieving fairness through pruning for dermatological disease diagnosis Y Wu, D Zeng, X Xu, Y Shi, J Hu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 44 | 2022 |
| Distributed contrastive learning for medical image segmentation Y Wu, D Zeng, Z Wang, Y Shi, J Hu Medical Image Analysis 81, 102564, 2022 | 39 | 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 | 35* | 2021 |
| Algorithm-hardware co-design of attention mechanism on FPGA devices X Zhang, Y Wu, P Zhou, X Tang, J Hu ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-24, 2021 | 34 | 2021 |
| 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 | 27* | 2021 |
| 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 | 25 | 2022 |
| 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 | 21 | 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 | 21 | 2021 |
| Cooperative communication between two transiently powered sensor nodes by reinforcement learning Y Wu, Z Jia, F Fang, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 17* | 2021 |
| Developing a miniature energy-harvesting-powered edge device with multi-exit neural network Y Li, Y Wu, X Zhang, E Hamed, J Hu, I Lee 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 11 | 2021 |
| Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning Y Wu, Z Wang, D Zeng, Y Shi, J Hu Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-2023), 2023 | 9 | 2023 |
| Implementation of multi-exit neural-network inferences for an image-based sensing system with energy harvesting Y Li, Y Gao, M Shao, JT Tonecha, Y Wu, J Hu, I Lee Journal of Low Power Electronics and Applications 11 (3), 34, 2021 | 9 | 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 |
| Prototyping energy harvesting powered systems with nonvolatile processor Y Wu, Y Sun, Z Jia, L Zhang, Y Liu, J Hu 2018 International Symposium on Rapid System Prototyping (RSP), 49-55, 2018 | 8 | 2018 |
| Energy-aware adaptive multi-exit neural network inference implementation for a millimeter-scale sensing system Y Li, Y Wu, X Zhang, J Hu, I Lee IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (7), 849-859, 2022 | 7 | 2022 |
| Self-Supervised On-Device Federated Learning From Unlabeled Streams J Shi, Y Wu, D Zeng, J Tao, J Hu, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 4* | 2023 |
Jingtong HuUniversity of Pittsburgh, ECE在 pitt.edu 的电子邮件经过验证
