Xiaotian Gao

22 papers A* 3A 1B 2C 1Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
Active Suspension Performance Enhancement Based on Improved DDPG Algorithms.
IJCNN
Shuyu Cao, Xiaotian Gao, Guoce Zhang, Shiyuan Han, Yu Du
2025 J jnl
Multi-agent reinforcement learning for vibration control of regenerative active suspension.
Eng. Appl. Artif. Intell.
Xiaotian Gao, Yu Du, Shiyuan Han, Wenxiu Zhao, Jin Zhou, Tong Zhang, C. L. Philip Chen
2025 B conf
The Active Suspension Control Strategy Based on Deep Reinforcement Learning Proximal Policy Optimization Algorithm.
IJCNN
Xiaotian Gao, Keyao Chang, Beibei Liu, Yu Du
2024 J jnl
LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data.
Neural Networks
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2024 — conf
Path Planning and Tracking of Amphibious Vehicles Based on Improved A
ACIRS
Bin Wang, Xiaotian Gao, Dongze Tian
2023 J jnl
An improved dynamic threshold method for determining the start of the vegetation greening season in remote sensing monitoring: The case of Inner Mongolia.
Ecol. Informatics
Haoxin Li, Frank Yonghong Li, Jingpeng Guo, Xiaotian Gao
2023 A conf
Learning Physics-Informed Neural Networks without Stacked Back-propagation.
AISTATS
Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2023 A* conf
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition.
ICML
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023 J jnl
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition.
CoRR
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2022 J jnl
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization.
CoRR
Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo
2022 Misc conf
Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning.
ICASSP
Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao
2022 J jnl
Learning Physics-Informed Neural Networks without Stacked Back-propagation.
CoRR
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2022 J jnl
LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data.
CoRR
Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2022 A* conf
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.
ICLR
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022 J jnl
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.
CoRR
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022 J jnl
UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.
Frontiers Neurorobotics
Hua Guo, Mengqi Li, Xuejing Zhang, Xiaotian Gao, Qian Liu
2021 J jnl
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing.
CoRR
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
2021 A* conf
OpEvo: An Evolutionary Method for Tensor Operator Optimization.
AAAI
Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang
2020 J jnl
OpEvo: An Evolutionary Method for Tensor Operator Optimization.
CoRR
Xiaotian Gao, Cui Wei, Lintao Zhang, Mao Yang
2020 J jnl
Research on Indoor Wireless Positioning Precision Optimization Based on UWB "In Prepress".
J. Web Eng.
Hua Guo, Mengqi Li, Xuejing Zhang, Qian Liu, Xiaotian Gao
2018 — conf
Interactive visual analysis of spatiotemporal characteristics in tropical cyclone trajectory data.
IIKI
Cui Xie, Xiaotian Gao, Junyu Dong
2017 C conf
Multi-faceted Visual Analysis on Tropical Cyclone.
CDVE
Cui Xie, Xiao Luo, Guangxiao Ma, Xiaotian Gao, Junyu Dong