Xiaotian Gao

Senior Researcher

Publications

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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

Published by: 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

Published by: 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

Published by: arXiv | August 2021

Publication

Xiaotian Gao

Publications

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

Contact Xiaotian Gao

Microsoft Research Lab – Asia

Xiaotian Gao

Publications

Publications by Year

2024

2023

2022

2021

Publications by Research Area

Artificial intelligence

Systems and networking

Medical, health and genomics

Publications by Type

Article (Journal)

Inproceedings (Conference)

Manual