Zhourong Chen

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 23

Top Topics

Convolutional Neural Network

Structure Learning

Topic Detection

Top Venues

Publications

Bonan Ni, Xun Wang, Qi Zhang, Pingzhong Tang, Zhourong Chen, Tianjiu Yin, Liangni Lu, Xiaobing Liu, Kewu Sun, Zhe Ma
Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding World. WWW (2023)
Eldon Schoop, Xin Zhou, Gang Li, Zhourong Chen, Bjoern Hartmann, Yang Li
Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis. CHI (2022)
Eldon Schoop, Xin Zhou, Gang Li, Zhourong Chen, Björn Hartmann, Yang Li
Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis. CoRR (2022)
Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning. CoRR (2021)
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
Dataset Meta-Learning from Kernel Ridge-Regression. ICLR (2021)
Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning. UIST (2021)
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
Dataset Meta-Learning from Kernel Ridge-Regression. CoRR (2020)
Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. ECSQARU (2019)
Zhourong Chen, Yang Li, Samy Bengio, Si Si
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. CVPR (2019)
Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. ICLR (Poster) (2019)
Peixian Chen, Zhourong Chen, Nevin L. Zhang
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. ECSQARU (2019)
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering. CoRR (2018)
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. CoRR (2018)
Zhourong Chen, Xiaopeng Li, Nevin L. Zhang
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion. CoRR (2018)
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. IJCAI (2018)
Zhourong Chen, Yang Li, Samy Bengio, Si Si
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. CoRR (2018)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI (2017)
Peixian Chen, Zhourong Chen, Nevin L. Zhang
Document Generation with Hierarchical Latent Tree Models. CoRR (2017)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen, Farhan Khawar
Latent tree models for hierarchical topic detection. Artif. Intell. 250 (2017)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI (2016)
Chen Fu, Nevin L. Zhang, Bao Xin Chen, Zhourong Chen, Xiang Lan Jin, Rong Juan Guo, Zhi Gang Chen, Yun Ling Zhang
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis. CoRR (2016)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR (2016)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen
Latent Tree Models for Hierarchical Topic Detection. CoRR (2016)
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. NIPS (2015)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR (2015)
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, Wang-chun Woo
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. CoRR (2015)