Dihong Jiang

Education

• Sep. 2020 - Now: Ph.D. in Computer Science, University of Waterloo.
  Supervisor: Prof. Yaoliang Yu & Prof. Sun Sun
• Sep. 2017 - Jan. 2020: M.Eng. in Electronics and Communication Engineering, Fudan Univerisity & University of Turku (Joint education program).
  Supervisor: Prof. Yu Ma & Dr. Mingzhe Jiang
• Sep. 2013 - June 2017: B.Eng. in Electronics Engineering, Fudan University

Research

My Master's research mainly focused on biomedical pattern recognition. My PhD's research is related to deep generative models.

Publications

• (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).
• (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).

Misc

I spent half a year (Jan. 2018 - June 2018) living and studying in Finland. During the period, I also traveled to many other European countries, which made me love the feeling of enjoying different culture and sceneries. I am looking forward to continuing my exploration in North America.

Plus, I love watching tennis games (but I am not good at playing it), and I am a big fan of Roger Federer.

Contact

Email: dihong.jiang@uwaterloo.ca

Email: jdh769135520@outlook.com

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';