| 2025 | IJCNN | Active Suspension Performance Enhancement Based on Improved DDPG Algorithms. | Shuyu Cao, Xiaotian Gao, Guoce Zhang, Shiyuan Han, Yu Du |
| 2025 | IJCNN | The Active Suspension Control Strategy Based on Deep Reinforcement Learning Proximal Policy Optimization Algorithm. | Xiaotian Gao, Keyao Chang, Beibei Liu, Yu Du |
| 2023 | AISTATS | Learning Physics-Informed Neural Networks without Stacked Back-propagation. | Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu |
| 2023 | ICML | NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. | Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu |
| 2022 | ICASSP | Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning. | Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao |
| 2022 | ICLR | SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. | Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo |
| 2021 | AAAI | OpEvo: An Evolutionary Method for Tensor Operator Optimization. | Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang |
| 2017 | CDVE | Multi-faceted Visual Analysis on Tropical Cyclone. | Cui Xie, Xiao Luo, Guangxiao Ma, Xiaotian Gao, Junyu Dong |