| 2023 | INFOCOM | GinApp: An Inductive Graph Learning based Framework for Mobile Application Usage Prediction. | Zhihao Shen, Xi Zhao, Jianhua Zou |
| 2022 | MOBICOM | Romou: rapidly generate high-performance tensor kernels for mobile GPUs. | Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu |
| 2021 | DCOSS | ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes. | Kang Yang, Xi Zhao, Jianhua Zou, Wan Du |
| 2020 | KDD | City Metro Network Expansion with Reinforcement Learning. | Yu Wei, Minjia Mao, Xi Zhao, Jianhua Zou, Ping An |
| 2020 | MOBICOM | DMM: fast map matching for cellular data. | Zhihao Shen, Wan Du, Xi Zhao, Jianhua Zou |
| 2019 | SENSYS | DeepAPP: a deep reinforcement learning framework for mobile application usage prediction. | Zhihao Shen, Kang Yang, Wan Du, Xi Zhao, Jianhua Zou |
| 2018 | ICCS | An Effective Model Between Mobile Phone Usage and P2P Default Behavior. | Huan Liu, Lin Ma, Xi Zhao, Jianhua Zou |
| 2016 | SIGCOMM | Taming the Flow Table Overflow in OpenFlow Switch. | Siyi Qiao, Chengchen Hu, Xiaohong Guan, Jianhua Zou |
| 2015 | CVPR | Efficient and accurate approximations of nonlinear convolutional networks. | Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun |