Ding Zhou

I got my Ph.D. in Statistics from Columbia University in May 2021. I worked with Prof. Liam Paninski on statistical machine learning for neural data science during my Ph.D. study. Previously, I received my B.S. in Mathematics and Applied Mathematics from Fudan University at Shanghai, China in 2016 with honors.

The best way to contact me is via my email: dz2336 at columbia dot edu. Here are my Google Scholar and GitHub profiles.

Publications

(*=equal contribution, arranged alphabetically)

- Scott Rome, Tianwen Chen, Michael Kreisel, and Ding Zhou. Lessons on off-policy methods from a notification component of a chatbot. Machine Learning, 110(9), 2021.

- Michael Xie, [et al., including Ding Zhou.] High fidelity estimates of spikes and subthreshold waveforms from 1-photon voltage imaging in vivo. Cell Reports, 35(1), 2021.

- Ding Zhou and Xue-Xin Wei. Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE. NeurIPS, 2020. Code, arXiv version

- Ding Zhou, Yuanjun Gao, and Liam Paninski. Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model. ECML, 2020. Code, arXiv version

- Xue-Xin Wei*, Ding Zhou*, et al. A zero-inflated gamma model for deconvolved calcium imaging traces. Neurons, Behavior, Data analysis, and Theory, 3(2), 2020. Code

- Yoav Adam, [et al., including Ding Zhou.] Voltage imaging and optogenetics reveal behaviour-dependent changes in hippocampal dynamics. Nature, 569(7756), 2019. News

Preprints

- Pengcheng Zhou, [et al., including Ding Zhou.] EASE: EM-Assisted Source Extraction from calcium imaging data. bioRxiv, 2020.

- E. Kelly Buchanan*, Ian Kinsella*, Ding Zhou*, et al. Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data. arXiv:1807.06203, 2018+. Code, News

Conference abstracts

- Pengcheng Zhou, [et al., including Ding Zhou.] EASE: EM-Assisted Source Extraction from calcium imaging data. Computational and Systems Neuroscience (Cosyne), 2020.

- Michael Xie, [et al., including Ding Zhou.] Accurate extraction of membrane potential for in vivo voltage imaging. Computational and Systems Neuroscience (Cosyne), 2020.

- Ding Zhou, Xue-Xin Wei, and Liam Paninski. Probabilistic Models of Neural Responses Measured in Calcium Imaging. Joint Statistical Meetings (JSM), 2019.