| 2023 | CVPR | ReasonNet: End-to-End Driving with Temporal and Global Reasoning. | Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2023 | EuroSys | OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers. | Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang |
| 2023 | ICPP | CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning. | Tiannuo Yang, Ruobing Chen, Yusen Li, Xiaoguang Liu, Gang Wang |
| 2023 | IROS | Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills. | Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu |
| 2022 | CoRL | Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. | Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu |
| 2022 | ICA3PP | GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning. | Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang |
| 2022 | ICPRAM | Real-time Weapon Detection in Videos. | Ahmed Nazeem, Xinzhu Bei, Ruobing Chen, Shreyas Shrivastava |
| 2021 | HPDC | DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers. | Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang |
| 2019 | HPDC | GAugur: Quantifying Performance Interference of Colocated Games for Improving Resource Utilization in Cloud Gaming. | Yusen Li, Chuxu Shan, Ruobing Chen, Xueyan Tang, Wentong Cai, Shanjiang Tang, Xiaoguang Liu, Gang Wang, Xiaoli Gong, Ying Zhang |
| 2018 | ICMV | Deep convolutional neural networks compression method based on linear representation of kernels. | Ruobing Chen, Yefei Chen, Jianbo Su |