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Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization


Jun 11, 2021
Fanhe Ma, Faen Zhang, Shenglan Ben, Shuxin Qin, Pengcheng Zhou, Changsheng Zhou, Fengyi Xu


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A zero-inflated gamma model for deconvolved calcium imaging traces


Jun 05, 2020
Xue-Xin Wei, Ding Zhou, Andres Grosmark, Zaki Ajabi, Fraser Sparks, Pengcheng Zhou, Mark Brandon, Attila Losonczy, Liam Paninski

* Neurons, Behavior, Data Analysis, and Theory, 2020 
* Accepted for publication in Neurons, Behavior, Data analysis, and Theory 

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Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning


Nov 20, 2019
Faen Zhang, Xinyu Fan, Hui Xu, Pengcheng Zhou, Yujian He, Junlong Liu


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Regression via Arbitrary Quantile Modeling


Nov 13, 2019
Faen Zhang, Xinyu Fan, Hui Xu, Pengcheng Zhou, Yujian He, Junlong Liu


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Short-and-Sparse Deconvolution -- A Geometric Approach


Oct 01, 2019
Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright

* *YL and QQ contributed equally to this work; 30 figures, 45 pages; This version: added an experiment comparing with other methods, corrected typos and added references 

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Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data


Jul 17, 2018
E. Kelly Buchanan, Ian Kinsella, Ding Zhou, Rong Zhu, Pengcheng Zhou, Felipe Gerhard, John Ferrante, Ying Ma, Sharon Kim, Mohammed Shaik, Yajie Liang, Rongwen Lu, Jacob Reimer, Paul Fahey, Taliah Muhammad, Graham Dempsey, Elizabeth Hillman, Na Ji, Andreas Tolias, Liam Paninski

* 36 pages, 18 figures 

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