Search Results for author: Min Zhao

Found 14 papers, 4 papers with code

Equivariant Energy-Guided SDE for Inverse Molecular Design

1 code implementation30 Sep 2022 Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu

Inverse molecular design is critical in material science and drug discovery, where the generated molecules should satisfy certain desirable properties.

Drug Discovery

Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images

no code implementations7 Aug 2022 Fubao Zhu, Guojie Wang, Chen Zhao, Saurabh Malhotra, Min Zhao, Zhuo He, Jianzhou Shi, Zhixin Jiang, Weihua Zhou

Five-fold cross-validation with 180 stress and 201 rest MPIs was used for training and internal validation; the remaining images were used for testing.

Model Optimization Translation

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

1 code implementation14 Jul 2022 Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu

Further, we provide an alternative explanation of the EGSDE as a product of experts, where each of the three experts (corresponding to the SDE and two feature extractors) solely contributes to faithfulness or realism.

Image-to-Image Translation Translation

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing

1 code implementation11 Jun 2022 Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja

Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing.

Hyperspectral Unmixing

A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search

no code implementations21 Feb 2021 Yijiang Lian, Yubo Liu, Zhicong Ye, Liang Yuan, Yanfeng Zhu, Min Zhao, Jianyi Cheng, Xinwei Feng

This framework has been successfully applied to Baidu's sponsored search system, which yields a significant improvement in revenue.

Retrieval

A Plug-and-Play Priors Framework for Hyperspectral Unmixing

1 code implementation24 Dec 2020 Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen

Spectral unmixing is a widely used technique in hyperspectral image processing and analysis.

Hyperspectral Unmixing Image Denoising

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors

no code implementations9 Oct 2020 Min Zhao, Tiande Gao, Jie Chen, Wei Chen

In our work, we propose an NMF based unmixing framework which jointly uses a handcrafting regularizer and a learnt regularizer from data.

Hyperspectral Unmixing

Generative Adversarial Networks For Data Scarcity Industrial Positron Images With Attention

no code implementations ICLR 2020 Mingwei Zhu, Min Zhao, Min Yao, Ruipeng Guo

In the industrial field, the positron annihilation is not affected by complex environment, and the gamma-ray photon penetration is strong, so the nondestructive detection of industrial parts can be realized.

Transfer Learning

Hyperspectral Unmixing via Deep Autoencoder Networks for a Generalized Linear-Mixture/Nonlinear-Fluctuation Model

no code implementations30 Apr 2019 Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja

This paper presents an unsupervised nonlinear spectral unmixing method based on a deep autoencoder network that applies to a generalized linear-mixture/nonlinear fluctuation model, consisting of a linear mixture component and an additive nonlinear mixture component that depends on both endmembers and abundances.

Hyperspectral Unmixing

A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation

no code implementations22 Feb 2019 Min Zhao, Jie Chen, Zhe He

To the best of our knowledge, this dataset is the first publicly available dataset created in a systematic manner with ground-truth for spectral unmixing.

Hyperspectral Unmixing

Classification of entities via their descriptive sentences

no code implementations28 Nov 2017 Chao Zhao, Min Zhao, Yi Guan

Hypernym identification of open-domain entities is crucial for taxonomy construction as well as many higher-level applications.

Classification General Classification

Constructing a Hierarchical User Interest Structure based on User Profiles

no code implementations20 Sep 2017 Chao Zhao, Min Zhao, Yi Guan

In this study, we constructed the user interest hierarchy via user profiles.

Understanding Humans' Strategies in Maze Solving

no code implementations22 Jul 2013 Min Zhao, Andre G. Marquez

Navigating through a visual maze relies on the strategic use of eye movements to select and identify the route.

Cannot find the paper you are looking for? You can Submit a new open access paper.