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Dihong Jiang
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2020 – today
- 2023
- [j3]Dihong Jiang, Sun Sun:
DP-LFlow: Differentially Private Latent Flow for Scalable Sensitive Image Generation. Trans. Mach. Learn. Res. 2023 (2023) - [c3]Dihong Jiang, Sun Sun, Yaoliang Yu:
Functional Renyi Differential Privacy for Generative Modeling. NeurIPS 2023 - 2022
- [c2]Dihong Jiang, Sun Sun, Yaoliang Yu:
Revisiting flow generative models for Out-of-distribution detection. ICLR 2022 - [i2]Dihong Jiang, Guojun Zhang, Mahdi Karami, Xi Chen, Yunfeng Shao, Yaoliang Yu:
DP2-VAE: Differentially Private Pre-trained Variational Autoencoders. CoRR abs/2208.03409 (2022) - 2020
- [i1]Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta
, Tomi Westerlund:
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation. CoRR abs/2004.08108 (2020)
2010 – 2019
- 2019
- [j2]Dihong Jiang, Yu Ma, Yuanyuan Wang:
Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds. Comput. Methods Programs Biomed. 178: 19-30 (2019) - [j1]Dihong Jiang, Ya-nan Lu, Yu Ma
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement. Expert Syst. Appl. 121: 188-203 (2019) - 2018
- [c1]Dihong Jiang, Yu Ma, Yuanyuan Wang:
A Multi-Scale Parallel Convolutional Neural Network for Automatic Sleep Apnea Detection Using Single-Channel EEG Signals. CISP-BMEI 2018: 1-5
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