| 2023 | WWW | Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding World. | Bonan Ni, Xun Wang, Qi Zhang, Pingzhong Tang, Zhourong Chen, Tianjiu Yin, Liangni Lu, Xiaobing Liu, Kewu Sun, Zhe Ma |
| 2022 | CHI | Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis. | Eldon Schoop, Xin Zhou, Gang Li, Zhourong Chen, Bjoern Hartmann, Yang Li |
| 2021 | ICLR | Dataset Meta-Learning from Kernel Ridge-Regression. | Timothy Nguyen, Zhourong Chen, Jaehoon Lee |
| 2021 | UIST | Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning. | Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li |
| 2019 | CVPR | You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. | Zhourong Chen, Yang Li, Samy Bengio, Si Si |
| 2019 | ECSQARU | A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. | Peixian Chen, Zhourong Chen, Nevin L. Zhang |
| 2019 | ECSQARU | Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. | Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang |
| 2019 | ICLR | Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. | Xiaopeng Li, Zhourong Chen, Leonard K. M. Poon, Nevin L. Zhang |
| 2018 | IJCAI | Building Sparse Deep Feedforward Networks using Tree Receptive Fields. | Xiaopeng Li, Zhourong Chen, Nevin L. Zhang |
| 2017 | AAAI | Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. | Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen |
| 2016 | AAAI | Progressive EM for Latent Tree Models and Hierarchical Topic Detection. | Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen |