Publications

PhD’s research

(2023) Dihong Jiang, Sun Sun, Yaoliang Yu. Functional Renyi Differential Privacy for Generative Modeling. Conference on Neural Information Processing Systems (NeurIPS)

(2023) Dihong Jiang, Sun Sun. DP-LFlow: Differentially Private Latent Flow for Scalable Sensitive Image Generation. Transactions on Machine Learning Research (TMLR).

(2023) Dihong Jiang, Sun Sun, Yaoliang Yu. Functional Renyi Differential Privacy for Generative Modeling. International Conference on Machine Learning (ICML), workshop on Challenges in Deployable Generative AI

(2023) Dihong Jiang, Sun Sun. DP-LFlow: Differentially Private Latent Flow for Scalable Sensitive Image Generation. International Conference on Machine Learning (ICML), workshop on Challenges in Deployable Generative AI.

(2023) Haoye Lu, Yiwei Lu, Dihong Jiang, Spencer Ryan Szabados, Sun Sun, Yaoliang Yu CM-GAN: Stabilizing GAN Training with Consistency Models. International Conference on Machine Learning (ICML), workshop on Structured Probabilistic Inference & Generative Modeling.

(2022) Jesse Sun, Dihong Jiang, Yaoliang Yu. Conditional Generative Quantile Network via Optimal Transport International Conference on Learning Representations (ICLR), workshop on Deep Generative Models for Highly Structured Data.

(2022) Dihong Jiang, Sun Sun, Yaoliang Yu. Revisiting Flow Generative Models for Out-of-distribution Detection. International Conference on Learning Representations (ICLR).

Master’s research

(2021) Jiaxin You, Dihong Jiang, Yu Ma, Yuanyuan Wang. SpindleU-Net: An Adaptive U-Net Framework for Sleep Spindle Detection in Single-Channel EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering , 29, 1614-1623.

(2021) Dihong Jiang, Yu Ma, Yuanyuan Wang. A robust two-stage sleep spindle detection approach using single-channel EEG. Journal of Neural Engineering, 18(2), 026026.

(2020) Wenshuai Zhao, Dihong Jiang, JorgePeña Queralta, Tomi Westerlund. MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net. Informatics in Medicine Unlocked, 19, 100357.

(2019) Dihong Jiang, Ya-nan Lu, Yu Ma, Yuanyuan Wang. Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement. Expert systems with applications, 121, 188-203.

(2019) Dihong Jiang, Yu Ma, Yuanyuan Wang. Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds. Computer methods and programs in biomedicine, 178, 19-30.

(2018) Dihong Jiang, Yu Ma, Yuanyuan Wang. A multi-scale parallel convolutional neural network for automatic sleep apnea detection using single-channel EEG signals. IEEE international congress on image and signal processing, biomedical engineering informatics (CISP-BMEI).