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ORCIDZhourong Chen
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2020 – today
- 2023
[c12]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: 3417-3427- 2022
- [c11]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: 36:1-36:21 - [i13]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 abs/2204.02448 (2022) - 2021
- [c10]Timothy Nguyen, Zhourong Chen, Jaehoon Lee:
Dataset Meta-Learning from Kernel Ridge-Regression. ICLR 2021 - [c9]Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li:
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning. UIST 2021: 498-510 - [i12]Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li:
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning. CoRR abs/2108.03353 (2021) - 2020
- [i11]Timothy Nguyen, Zhourong Chen, Jaehoon Lee:
Dataset Meta-Learning from Kernel Ridge-Regression. CoRR abs/2011.00050 (2020)
2010 – 2019
- 2019
- [c8]Zhourong Chen, Yang Li, Samy Bengio, Si Si:
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. CVPR 2019: 9172-9180 - [c7]Peixian Chen, Zhourong Chen, Nevin L. Zhang:
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. ECSQARU 2019: 265-276 - [c6]Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang:
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. ECSQARU 2019: 277-289 - [c5]Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang:
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. ICLR (Poster) 2019 - 2018
- [c4]Xiaopeng Li, Zhourong Chen, Nevin L. Zhang:
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. IJCAI 2018: 5045-5051 - [i10]Xiaopeng Li, Zhourong Chen, Nevin L. Zhang:
Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering. CoRR abs/1803.05206 (2018) - [i9]Xiaopeng Li, Zhourong Chen, Nevin L. Zhang:
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. CoRR abs/1803.05209 (2018) - [i8]Zhourong Chen, Xiaopeng Li, Nevin L. Zhang:
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion. CoRR abs/1803.06120 (2018) - [i7]Zhourong Chen, Yang Li, Samy Bengio, Si Si:
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. CoRR abs/1811.11205 (2018) - 2017
- [j1]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: 105-124 (2017) - [c3]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI 2017: 1805-1811 - [i6]Peixian Chen, Zhourong Chen, Nevin L. Zhang:
Document Generation with Hierarchical Latent Tree Models. CoRR abs/1712.04116 (2017) - 2016
- [c2]Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI 2016: 1498-1504 - [i5]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 abs/1601.06923 (2016) - [i4]Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen:
Latent Tree Models for Hierarchical Topic Detection. CoRR abs/1605.06650 (2016) - [i3]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR abs/1609.05294 (2016) - 2015
- [c1]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: 802-810 - [i2]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 abs/1506.04214 (2015) - [i1]Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR abs/1508.00973 (2015)
Coauthor Index
aka: Nevin L. Zhang
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