| 2024 | EMNLP | Evaluating Automatic Metrics with Incremental Machine Translation Systems. | Guojun Wu, Shay B. Cohen, Rico Sennrich |
| 2023 | EMNLP | ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding. | Guojun Wu |
| 2023 | KDD | DNet: Distributional Network for Distributional Individualized Treatment Effects. | Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu |
| 2023 | WACV | Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. | Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu |
| 2021 | ICDM | Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. | Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou |
| 2020 | CIKM | A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. | Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu |
| 2018 | ICDM | Human-Centric Urban Transit Evaluation and Planning. | Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo |
| 2017 | ICDE | Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. | Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo |