Stebėti
Zhourong Chen
Pavadinimas
Cituota
Cituota
Metai
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
89672015
Dataset Meta-Learning from Kernel Ridge-Regression
T Nguyen, Z Chen, J Lee
International Conference on Learning Representations (ICLR), 2021
1702021
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
110*2019
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
802015
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
722021
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
652017
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
X Li, Z Chen, LKM Poon, NL Zhang
International Conference on Learning Representations, 2019
602019
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
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
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
162022
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
12023
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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