| 2026 | WCNC | Deep Learning-Aided Joint Design of Beam Hopping and Robust Precoding for LEO Satellite Communication Systems. | Xingyu Chen, Lixia Xiao, Qu Luo, Zhuang Yao, Chao Ding, Yue Cao |
| 2026 | WCNC | Model-Driven Aided Expectation Propagation Learning for AFDM Signal Detection in High-Mobility Communications. | Jiahe Jiang, Chao Ding, Wenhao Zheng, Xiaodan Zhai |
| 2024 | IROS | CSR: A Lightweight Crowdsourced Road Structure Reconstruction System for Autonomous Driving. | Huayou Wang, Qingyao Liu, Jiazheng Wu, Kun Liu, Chao Ding, Xianpeng Lang, Changliang Xue |
| 2021 | AAAI | THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation. | Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu |
| 2020 | HCI | Forecasting the Subway Volume Using Local Linear Kernel Regression. | Yu-Chen Yang, Chao Ding, Yong Jimmy Jin |
| 2018 | UIC | An Abnormal Behavior Detection Based on Deep Learning. | Junwei Zhang, Jiaxiang Ou, Chao Ding, Wenbin Shi |
| 2015 | IWQoS | A methodology for root-cause analysis in component based systems. | Kui Wang, Carol J. Fung, Chao Ding, Polo Pei, Shaohan Huang, Zhongzhi Luan, Depei Qian |
| 2009 | HIS | Heat Load Forecasting Based on Improved AGA-BP Non-linear Combined Model. | Feng Ren, Ying-zong Liu, Chao Ding |