| Structure-driven unsupervised domain adaptation for cross-modality cardiac segmentation Z Cui, C Li, Z Du, N Chen, G Wei, R Chen, L Yang, D Shen, W Wang IEEE Transactions on Medical Imaging 40 (12), 3604-3616, 2021 | 37 | 2021 |
| Rethinking normalization methods in federated learning Z Du, J Sun, A Li, PY Chen, J Zhang, HH Li, Y Chen Proceedings of the 3rd International Workshop on Distributed Machine …, 2022 | 28 | 2022 |
| SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models Z Du, S Li, Y Wu, X Jiang, J Sun, Q Zheng, Y Wu, A Li, H Li, Y Chen Proceedings of Machine Learning and Systems 6, 224-238, 2024 | 7 | 2024 |
| PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties J Sun, Z Du, A Dai, S Baghersalimi, A Amirshahi, Q Zheng, D Atienza, ... | 5* | 2023 |
| Next Generation Federated Learning for Edge Devices: An Overview J Zhang, Z Du, J Sun, A Li, M Tang, Y Wu, Z Gao, M Kuo, HH Li, Y Chen 2022 IEEE 8th International Conference on Collaboration and Internet …, 2022 | 5 | 2022 |
| Improved Input Reprogramming for GAN Conditioning T Dinh, D Seo, Z Du, L Shang, K Lee arXiv preprint arXiv:2201.02692, 2022 | 5 | 2022 |
| A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models C Guo, F Cheng, Z Du, J Kiessling, J Ku, S Li, Z Li, M Ma, T Molom-Ochir, ... arXiv preprint arXiv:2410.07265, 2024 | 2 | 2024 |
| Towards the Efficiency, Heterogeneity, and Robustness of Edge AI B Kim, Z Du, J Sun, Y Chen 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-7, 2023 | 1 | 2023 |
| Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback J Sun, Z Du, Y Chen arXiv preprint arXiv:2405.19686, 2024 | | 2024 |
Jingwei SunPhD student, Duke ECE在 duke.edu 的电子邮件经过验证
