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Zhiguang Wang
Zhiguang Wang
Amber Group
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Title
Cited by
Cited by
Year
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
13962017
Imaging time-series to improve classification and imputation
Z Wang, T Oates
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
4762015
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 1, 2015
4042015
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
Z Wang, J Yang
AAAI 2018, 2018
1192018
Spatially encoding temporal correlations to classify temporal data using convolutional neural networks
Z Wang, T Oates
arXiv preprint arXiv:1509.07481, 2015
472015
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
432020
Adding chit-chat 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
372020
Leveraging slot descriptions for zero-shot cross-domain dialogue state tracking
Z Lin, B Liu, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, A Madotto, E Cho, ...
arXiv preprint arXiv:2105.04222, 2021
342021
Gated transformer networks for multivariate time series classification
M Liu, S Ren, S Ma, J Jiao, Y Chen, Z Wang, W Song
arXiv preprint arXiv:2103.14438, 2021
312021
Representation learning with deconvolution for multivariate time series classification and visualization
W Song, L Liu, M Liu, W Wang, X Wang, Y Song
Data Science: 6th International Conference of Pioneering Computer Scientists …, 2020
242020
Automated cloud provisioning on aws using deep reinforcement learning
Z Wang, C Gwon, T Oates, A Iezzi
arXiv preprint arXiv:1709.04305, 2017
232017
Self-learning augmented reality for industrial operations
B Singh, W Zhiguang, J Yang, S Murugappan, J Nichols
US Patent App. 15/678,654, 2019
152019
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
122017
Imaging time-series to improve classification and imputation. arXiv 2015
Z Wang, T Oates
arXiv preprint arXiv:1506.00327 1506, 0
12
Information seeking in the spirit of learning: A dataset for conversational curiosity
P Rodriguez, P Crook, S Moon, Z Wang
arXiv preprint arXiv:2005.00172, 2020
102020
Time series classification from scratch with deep neural networks: A strong baseline (2016)
Z Wang, W Yan, T Oates
arXiv preprint arXiv:1611.06455, 2016
92016
Time series classification from scratch with deep neural networks: A strong baseline. arXiv 2016
Z Wang, W Yan, T Oates
arXiv preprint arXiv:1611.06455, 0
9
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
72018
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
72016
Time series classification from scratch with deep neural networks: a strong baseline. CoRR abs/1611.06455 (2016)
Z Wang, W Yan, T Oates
72016
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