Hao-Zhe Feng
Hao-Zhe Feng
State Key Lab of CAD&CG, Zhejiang University
Geverifieerd e-mailadres voor zju.edu.cn - Homepage
Geciteerd door
Geciteerd door
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation.
H Feng, Z You, M Chen, T Zhang, M Zhu, F Wu, C Wu, W Chen
ICML, 3274-3283, 2021
Computer-aided lung cancer diagnosis approaches based on deep learning
P Zhang, X Xu, H Wang, Y Feng, HZ Feng
J Comput Aided Design Comput Graph 30, 90, 2018
Multivariate time-series forecasting with temporal polynomial graph neural networks
Y Liu, Q Liu, JW Zhang, H Feng, Z Wang, Z Zhou, W Chen
Advances in neural information processing systems 35, 19414-19426, 2022
Shot-vae: semi-supervised deep generative models with label-aware elbo approximations
HZ Feng, K Kong, M Chen, T Zhang, M Zhu, W Chen
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7413-7421, 2021
Lung adenocarcinoma diagnosis in one stage
P Hao, K You, H Feng, X Xu, F Zhang, F Wu, P Zhang, W Chen
Neurocomputing 392, 245-252, 2020
Does federated learning really need backpropagation?
H Feng, T Pang, C Du, W Chen, S Yan, M Lin
arXiv preprint arXiv:2301.12195, 2023
ChartNavigator: an interactive pattern identification and annotation framework for charts
T Zhang, H Feng, W Chen, Z Chen, W Zheng, X Luo, W Huang, A Tung
IEEE Transactions on Knowledge and Data Engineering 35 (2), 1258-1269, 2021
Dpviscreator: Incorporating pattern constraints to privacy-preserving visualizations via differential privacy
J Zhou, X Wang, JK Wong, H Wang, Z Wang, X Yang, X Yan, H Feng, ...
IEEE Transactions on Visualization and Computer Graphics 29 (1), 809-819, 2022
应用于平扫 CT 图像肺结节检测的深度学习方法综述
胡伟俭, 陈为, 冯浩哲, 张天平, 朱正茂, 潘巧明
浙江大学学报: 理学版 44 (4), 379-384, 2017
Cosda: Continual source-free domain adaptation
H Feng, Z Yang, H Chen, T Pang, C Du, M Zhu, W Chen, S Yan
arXiv preprint arXiv:2304.06627, 2023
An Unsupervised Suggestive Annotation Algorithm for 3D CT Image Processing
F Haozhe, Z Peng, X Xinnan
Journal of Computer Aided Design & Computer Graphics 31 (002), 183-189, 2019
Prior-enhanced few-shot segmentation with meta-prototypes
JW Zhang, L Lv, Y Luo, HZ Feng, Y Yang, W Chen
arXiv preprint arXiv:2106.00572, 2021
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Z Yang, Q Liu, T Pang, H Wang, H Feng, M Zhu, W Chen
arXiv preprint arXiv:2402.13669, 2024
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
H Feng, T Pang, C Du, W Chen, YAN Shuicheng, M Lin
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Artikelen 1–14