Artikel mit Open-Access-Mandaten - Mingyuan ZhouWeitere Informationen
Nicht verfügbar: 4
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning
C Wang, B Chen, Z Duan, W Chen, H Zhang, M Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4586-4604, 2022
Mandate: National Natural Science Foundation of China
Learning hierarchical document graphs from multilevel sentence relations
H Zhang, C Wang, Z Wang, Z Duan, B Chen, M Zhou, R Henao, L Carin
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4273-4285, 2021
Mandate: US Department of Defense
Gradient estimation of information measures in deep learning
L Wen, H Bai, L He, Y Zhou, M Zhou, Z Xu
Knowledge-Based Systems 224, 107046, 2021
Mandate: National Natural Science Foundation of China
Hierarchical topic-aware contextualized transformers
R Lu, B Chen, D Guo, D Wang, M Zhou
IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 841-852, 2023
Mandate: National Natural Science Foundation of China
Verfügbar: 98
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images
M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ...
IEEE Transactions on Image Processing 21 (1), 130-144, 2012
Mandate: US National Institutes of Health
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Mandate: US National Science Foundation, US Department of Energy, Bill & Melinda …
Masking: A New Perspective of Noisy Supervision
B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama
NeurIPS 2018, 2018
Mandate: US National Science Foundation, Research Foundation (Flanders), National …
Variational graph recurrent neural networks
E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ...
NeurIPS 2019, 10701-10711, 2019
Mandate: US National Science Foundation
Patch diffusion: Faster and more data-efficient training of diffusion models
Z Wang, Y Jiang, H Zheng, P Wang, P He, Z Wang, W Chen, M Zhou
Advances in Neural Information Processing Systems 36, 2023
Mandate: US National Science Foundation, US National Institutes of Health
Semi-implicit graph variational auto-encoders
A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ...
Advances in neural information processing systems 32, 2019
Mandate: US National Science Foundation
Adversarially Adaptive Normalization for Single Domain Generalization
X Fan, Q Wang, J Ke, F Yang, B Gong, M Zhou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Mandate: US National Science Foundation
Lognormal and Gamma Mixed Negative Binomial Regression
M Zhou, L Li, D Dunson, L Carin
ICML 2012, 2012
Mandate: US National Institutes of Health
Bayesian Graph Neural Networks with Adaptive Connection Sampling
A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ...
ICML 2020, 2020
Mandate: US National Science Foundation
Card: Classification and regression diffusion models
X Han, H Zheng, M Zhou
Advances in Neural Information Processing Systems 35, 18100-18115, 2022
Mandate: US National Science Foundation
A prototype-oriented framework for unsupervised domain adaptation
K Tanwisuth, X Fan, H Zheng, S Zhang, H Zhang, B Chen, M Zhou
Advances in Neural Information Processing Systems 34, 17194-17208, 2021
Mandate: US National Science Foundation
Augmentable gamma belief networks
M Zhou, Y Cong, B Chen
Journal of Machine Learning Research 17 (163), 1-44, 2016
Mandate: National Natural Science Foundation of China
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
A Schein, M Zhou, DM Blei, H Wallach
ICML 2016, 2016
Mandate: US National Science Foundation
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
Z Wang, Z Zhang, X Zhang, H Zheng, M Zhou, Y Zhang, Y Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandate: National Natural Science Foundation of China
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
W Chen, L Tian, B Chen, L Dai, Z Duan, M Zhou
International Conference on Machine Learning, 3621-3633, 2022
Mandate: US National Science Foundation, National Natural Science Foundation of China
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
M Yin, M Zhou
ICLR 2019, 2019
Mandate: US National Science Foundation
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