Xiaotian Gao

Senior Researcher

论文与出版物

查看方式：

- LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
  
  Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
  
  Neural Networks | August 2024
  
  Publication
- 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
  
  ICML 2023 | June 2023
  
  Publication
- Learning Physics-Informed Neural Networks without Stacked Back-propagation
  
  Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
  
  AISTATS 2023 | April 2023
  
  Publication
- Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning
  
  Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao
  
  ICASSP 2022 | April 2022
  
  Publication
- 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
  
  ICLR 2022 | April 2022
  
  Publication
- AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
  
  Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
  
  August 2021
  
  发布者： arXiv | August 2021
  
  Publication
- OpEvo: An Evolutionary Method for Tensor Operator Optimization
  
  Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang
  
  AAAI 2021 | May 2021
  
  Publication

- LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
  
  Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
  
  Neural Networks | August 2024
  
  Publication
- 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
  
  ICML 2023 | June 2023
  
  Publication
- Learning Physics-Informed Neural Networks without Stacked Back-propagation
  
  Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
  
  AISTATS 2023 | April 2023
  
  Publication
- 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
  
  ICLR 2022 | April 2022
  
  Publication
- AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
  
  Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
  
  August 2021
  
  发布者： arXiv | August 2021
  
  Publication
- Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning
  
  Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao
  
  ICASSP 2022 | April 2022
  
  Publication
- OpEvo: An Evolutionary Method for Tensor Operator Optimization
  
  Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang
  
  AAAI 2021 | May 2021
  
  Publication
- Learning Physics-Informed Neural Networks without Stacked Back-propagation
  
  Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
  
  AISTATS 2023 | April 2023
  
  Publication

- LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
  
  Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
  
  Neural Networks | August 2024
  
  Publication
- 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
  
  ICML 2023 | June 2023
  
  Publication
- Learning Physics-Informed Neural Networks without Stacked Back-propagation
  
  Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
  
  AISTATS 2023 | April 2023
  
  Publication
- Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning
  
  Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao
  
  ICASSP 2022 | April 2022
  
  Publication
- 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
  
  ICLR 2022 | April 2022
  
  Publication
- OpEvo: An Evolutionary Method for Tensor Operator Optimization
  
  Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang
  
  AAAI 2021 | May 2021
  
  Publication
- AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
  
  Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
  
  August 2021
  
  发布者： arXiv | August 2021
  
  Publication

Xiaotian Gao

论文与出版物

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

OpEvo: An Evolutionary Method for Tensor Operator Optimization

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition

Learning Physics-Informed Neural Networks without Stacked Back-propagation

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning

OpEvo: An Evolutionary Method for Tensor Operator Optimization

Learning Physics-Informed Neural Networks without Stacked Back-propagation

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

OpEvo: An Evolutionary Method for Tensor Operator Optimization

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

联系 Xiaotian Gao

微软亚洲研究院