Search Results for author: Guodong Liu

Found 7 papers, 2 papers with code

Sparse Shrunk Additive Models

no code implementations ICML 2020 Hong Chen, Guodong Liu, Heng Huang

Meanwhile, in these feature selection models, the interactions between features are often ignored or just discussed under prior structure information.

Additive models

Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation

no code implementations14 Oct 2021 Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu

Our main contributions are that we propose the theorems to characterize the optimal solution of the PWLA problem and present the LNN method for solving it.

How to Explain Neural Networks: an Approximation Perspective

no code implementations17 May 2021 Hangcheng Dong, Bingguo Liu, Fengdong Chen, Dong Ye, Guodong Liu

The lack of interpretability has hindered the large-scale adoption of AI technologies.

Model Compression

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

1 code implementation17 Feb 2021 Bin Gu, Guodong Liu, yanfu Zhang, Xiang Geng, Heng Huang

Modern machine learning algorithms usually involve tuning multiple (from one to thousands) hyperparameters which play a pivotal role in terms of model generalizability.

Hyperparameter Optimization

Origin of the Electronic Structure in Single-Layer FeSe/SrTiO3 Films

no code implementations16 Dec 2020 Defa Liu, Xianxin Wu, Fangsen Li, Yong Hu, Jianwei Huang, Yu Xu, Cong Li, Yunyi Zang, Junfeng He, Lin Zhao, Shaolong He, Chenjia Tang, Zhi Li, Lili Wang, Qingyan Wang, Guodong Liu, Zuyan Xu, Xu-Cun Ma, Qi-Kun Xue, Jiangping Hu, X. J. Zhou

These observations not only show the first direct evidence that the electronic structure of single-layer FeSe/SrTiO3 films originates from bulk FeSe through a combined effect of an electronic phase transition and an interfacial charge transfer, but also provide a quantitative basis for theoretical models in describing the electronic structure and understanding the superconducting mechanism in single-layer FeSe/SrTiO3 films.

Band Gap Superconductivity Strongly Correlated Electrons

Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints

no code implementations16 Jan 2020 Yichen Zhang, Chen Chen, Guodong Liu, Tianqi Hong, Feng Qiu

In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem.

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