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Zhourong Chen
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Convolutional LSTM network: A machine learning approach for precipitation nowcasting
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
Advances in neural information processing systems 28, 2015
93572015
Dataset Meta-Learning from Kernel Ridge-Regression
T Nguyen, Z Chen, J Lee
International Conference on Learning Representations (ICLR), 2021
1892021
You look twice: Gaternet for dynamic filter selection in cnns
Z Chen, Y Li, S Bengio, S Si
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
114*2019
Screen2words: Automatic mobile UI summarization with multimodal learning
B Wang, G Li, X Zhou, Z Chen, T Grossman, Y Li
The 34th Annual ACM Symposium on User Interface Software and Technology, 498-510, 2021
842021
Convolutional LSTM network: A machine learning approach for precipitation nowcasting. arXiv 2015
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, WC Woo
arXiv preprint arXiv:1506.04214, 2015
832015
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
X Li, Z Chen, LKM Poon, NL Zhang
International Conference on Learning Representations, 2019
672019
Latent tree models for hierarchical topic detection
P Chen, NL Zhang, T Liu, LKM Poon, Z Chen, F Khawar
Artificial Intelligence 250, 105-124, 2017
662017
Progressive EM for latent tree models and hierarchical topic detection
P Chen, NL Zhang, LKM Poon, Z Chen
Thirtieth AAAI Conference on Artificial Intelligence, 2016
362016
Predicting and explaining mobile ui tappability with vision modeling and saliency analysis
E Schoop, X Zhou, G Li, Z Chen, B Hartmann, Y Li
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
202022
Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis
C Fu, NL Zhang, B Chen, ZR Chen, XL Jin, R Guo, Z Chen, Y Zhang
Journal of integrative medicine 15 (3), 186-200, 2017
19*2017
Sparse Boltzmann machines with structure learning as applied to text analysis
Z Chen, N Zhang, DY Yeung, P Chen
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
162017
Convolutional LSTM network: A machine learning approach for precipitation nowcasting. CoRR abs/1506.04214 (2015)
X Shi, Z Chen, H Wang, D Yeung, W Wong, W Woo
arXiv preprint arXiv:1506.04214, 2015
142015
Wai-kinWong, and Wang-chun Woo. 2015.“
X Shi, Z Chen
Convolutional LSTM network: A machine learning approach for precipitation …, 2015
72015
Convolutional LSTM network: A machine learning approach for precipitation nowcasting, CoRR abs/1506.04214
X Shi, Z Chen, H Wang, D Yeung, W Wong, W Woo
arXiv preprint arXiv:1506.04214, 2015
62015
Wang-chun WOO. 2015
X Shi, Z Chen
Convolutional LSTM Network: A Machine Learning Approach for Precipitation …, 0
5
Convolutional lstm network: A machine learning approach for precipitation nowcasting. arXiv preprint, 2015
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
URL https://arxiv. org/abs/1506.04214, 0
5
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion
Z Chen, X Li, Z Tian, NL Zhang
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 15th …, 2019
3*2019
Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding World
B Ni, X Wang, Q Zhang, P Tang, Z Chen, T Yin, L Lu, X Liu, K Sun, Z Ma
Proceedings of the ACM Web Conference 2023, 3417-3427, 2023
22023
A novel document generation process for topic detection based on hierarchical latent tree models
P Chen, Z Chen, NL Zhang
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 15th …, 2019
12019
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
X Li, Z Chen, NL Zhang
International Joint Conference on Artificial Intelligence, 2018
12018
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