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Dataset Meta-Learning from Kernel Ridge-Regression.
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
Ninth International Conference on Learning Representations (ICLR), 2021.
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You Look Twice: GaterNet for Dynamic Filter Selection in CNNs.
Zhourong Chen, Yang Li, Samy Bengio, Si Si
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
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Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering.
Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang
Seventh International Conference on Learning Representations (ICLR), 2019.
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Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion.
Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang
The 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2019.
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A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models.
Peixian Chen, Zhourong Chen, Nevin L. Zhang
The 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), 2019.
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Building Sparse Deep Feedforward Networks using Tree Receptive Fields.
Zhourong Chen*, Xiaopeng Li*, Nevin L. Zhang (* denotes equal contribution)
Twenty-seventh International Joint Conference on Artificial Intelligence (IJCAI), 2018.
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Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis.
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.
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Progressive EM for Latent Tree Models and Hierarchical Topic Detection.
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
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Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo
Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS), 2015.