Zhiguang Wang
Zhiguang Wang
Facebook AI
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Cited by
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Time series classification from scratch with deep neural networks: A strong baseline
Z Wang, W Yan, T Oates
2017 International joint conference on neural networks (IJCNN), 1578-1585, 2017
Encoding time series as images for visual inspection and classification using tiled convolutional neural networks
Z Wang, T Oates
Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015
Imaging Time-Series to Improve Classification and Imputation
Z Wang, T Oates
Proceedings of the 24th International Joint Conference on Artificial …, 2015
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
Z Wang, J Yang
AAAI 2018, 2018
Spatially encoding temporal correlations to classify temporal data using convolutional neural networks
Z Wang, T Oates
arXiv preprint arXiv:1509.07481, 2015
Automated cloud provisioning on aws using deep reinforcement learning
Z Wang, C Gwon, T Oates, A Iezzi
arXiv preprint arXiv:1709.04305, 2017
Empirical study of symbolic aggregate approximation for time series classification
W Song, Z Wang, F Zhang, Y Ye, M Fan
Intelligent Data Analysis 21 (1), 135-150, 2017
Representation learning with deconvolution for multivariate time series classification and visualization
W Song, L Liu, M Liu, W Wang, X Wang, Y Song
International Conference of Pioneering Computer Scientists, Engineers and …, 2020
Pooling sax-bop approaches with boosting to classify multivariate synchronous physiological time series data
Z Wang, T Oates
The Twenty-Eighth International Flairs Conference, 2015
Improving native ads ctr prediction by large scale event embedding and recurrent networks
M Parsana, K Poola, Y Wang, Z Wang
arXiv preprint arXiv:1804.09133, 2018
Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Z Wang, T Oates, J Lo
Proceedings of The Thirtieth AAAI Conference on Artificial Intelligence, 2016
Time warping symbolic aggregation approximation with bag-of-patterns representation for time series classification
Z Wang, T Oates
2014 13th International Conference on Machine Learning and Applications, 270-275, 2014
Imaging time-series to improve classification and imputation. arXiv 2015
Z Wang, T Oates
arXiv preprint arXiv:1506.00327 1506, 0
Self-learning augmented reality for industrial operations
B Singh, W Zhiguang, J Yang, S Murugappan, J Nichols
US Patent App. 15/678,654, 2019
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series
L Liu, Z Wang
AAAI 2018, 2018
Deep learning for unsupervised separation of environmental noise sources
B Wilkinson, C Ellison, ET Nykaza, AP Boedihardjo, A Netchaev, Z Wang, ...
The Journal of the Acoustical Society of America 141 (5), 3964-3964, 2017
Deep learning for unsupervised feature extraction in audio signals: Monaural source separation
ET Nykaza, AP Boedihardjo, Z Wang, T Oates, A Netchaev, SL Bunkley, ...
The Journal of the Acoustical Society of America 140 (4), 3424-3424, 2016
Adopting robustness and optimality in fitting and learning
Z Wang, T Oates, J Lo
arXiv preprint arXiv:1510.03826, 2015
Continual Learning in Task-Oriented Dialogue Systems
A Madotto, Z Lin, Z Zhou, S Moon, P Crook, B Liu, Z Yu, E Cho, Z Wang
arXiv preprint arXiv:2012.15504, 2020
Adding Chit-Chats to Enhance Task-Oriented Dialogues
K Sun, S Moon, P Crook, S Roller, B Silvert, B Liu, Z Wang, H Liu, E Cho, ...
arXiv preprint arXiv:2010.12757, 2020
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