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Zhimeng Pan
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Theoretical insights into the interactions between star-shaped antimicrobial polypeptides and bacterial membranes
Y Zhang, T Chen, Z Pan, X Sun, X Yin, M He, S Xiao, H Liang
Langmuir 34 (44), 13438-13448, 2018
182018
Streaming Bayesian deep tensor factorization
S Fang, Z Wang, Z Pan, J Liu, S Zhe
International Conference on Machine Learning, 3133-3142, 2021
132021
Streaming nonlinear Bayesian tensor decomposition
Z Pan, Z Wang, S Zhe
Conference on Uncertainty in Artificial Intelligence, 490-499, 2020
132020
Scalable nonparametric factorization for high-order interaction events
Z Pan, Z Wang, S Zhe
International Conference on Artificial Intelligence and Statistics, 4325-4335, 2020
112020
Self-adaptable point processes with nonparametric time decays
Z Pan, Z Wang, JM Phillips, S Zhe
Advances in Neural Information Processing Systems 34, 4594-4606, 2021
102021
Computational cannula microscopy of neurons using neural networks
R Guo, Z Pan, A Taibi, J Shepherd, R Menon
Optics letters 45 (7), 2111-2114, 2020
102020
Machine-learning enables Image Reconstruction and Classification in a “see-through” camera
Z Pan, B Rodriguez, R Menon
OSA Continuum 3 (3), 401-409, 2020
92020
3D computational cannula fluorescence microscopy enabled by artificial neural networks
R Guo, Z Pan, A Taibi, J Shepherd, R Menon
Optics Express 28 (22), 32342-32348, 2020
72020
Review Regularized Neural Collaborative Filtering
Z Pan, W Tao, Q Ai
arXiv preprint arXiv:2008.13527, 2020
12020
Graph-informed Neural Point Process With Monotonic Nets
Z Pan, Z Wang, S Zhe
2022
Efficient Probabilistic Approaches for Sequential Events Analysis
Z Pan
The University of Utah, 2022
2022
Streaming Probabilistic Deep Tensor Factorization
S Fang, Z Wang, Z Pan, J Liu, S Zhe
arXiv preprint arXiv:2007.07367, 2020
2020
Computation-enabled Lensless Imaging & Deep-Brain Microscopy
B Rodriguez, Z Pan, R Guo, N Nagarajan, MR Capecchi, K Jenks, ...
CLEO: Applications and Technology, AM2I. 5, 2019
2019
3D Computational Cannula Fluorescence Microscopy enabled by Artificial Neural Networks: Supplementary Information
R GUO, Z PAN, A TAIBI, J SHEPERD, R MENON
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Articles 1–14