Search Results for author: Jie Hou

Found 10 papers, 3 papers with code

PMNN:Physical Model-driven Neural Network for solving time-fractional differential equations

no code implementations7 Oct 2023 Zhiying Ma, Jie Hou, Wenhao Zhu, Yaxin Peng, Ying Li

It establishes a temporal iteration scheme based on physical model-driven neural networks which effectively combines deep neural networks (DNNs) with interpolation approximation of fractional derivatives.

HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations

1 code implementation7 Oct 2023 Jie Hou, Zhiying Ma, Shihui Ying, Ying Li

However, we have discovered that neural network solvers based on L1 interpolation approximation are unable to fully exploit the benefits of neural networks, and the accuracy of these models is constrained to interpolation errors.

EmotionGesture: Audio-Driven Diverse Emotional Co-Speech 3D Gesture Generation

1 code implementation30 May 2023 Xingqun Qi, Chen Liu, Lincheng Li, Jie Hou, Haoran Xin, Xin Yu

In this work, we propose EmotionGesture, a novel framework for synthesizing vivid and diverse emotional co-speech 3D gestures from audio.

Gesture Generation

Community Detection Using Revised Medoid-Shift Based on KNN

no code implementations19 Apr 2023 Jie Hou, Jiakang Li, Xiaokang Peng, Wei Ke, Yonggang Lu

During the process of finding the next medoid, the RMS algorithm is based on a neighborhood defined by KNN, while the original Medoid-Shift is based on a neighborhood defined by a distance parameter.

Clustering Community Detection

Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM

no code implementations11 Feb 2021 Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao

Cryo-electron microscopy (cryo-EM) has become a major experimental technique to determine the structures of large protein complexes and molecular assemblies, as evidenced by the 2017 Nobel Prize.

A Brand-level Ranking System with the Customized Attention-GRU Model

no code implementations23 May 2018 Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance to the quality of products and brand is an indicator of quality.

Feature Engineering Test

DeepSF: deep convolutional neural network for mapping protein sequences to folds

no code implementations4 Jun 2017 Jie Hou, Badri Adhikari, Jianlin Cheng

Almost all traditional fold recognition methods use sequence (homology) comparison to indirectly predict the fold of a tar get protein based on the fold of a template protein with known structure, which cannot explain the relationship between sequence and fold.

Clustering General Classification +1

DeepQA: Improving the estimation of single protein model quality with deep belief networks

no code implementations15 Jul 2016 Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng

The deep belief network is trained on several large datasets consisting of models from the Critical Assessment of Protein Structure Prediction (CASP) experiments, several publicly available datasets, and models generated by our in-house ab initio method.

Protein Structure Prediction Test

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