Search Results for author: Wei Yan

Found 8 papers, 2 papers with code

Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition

no code implementations12 Apr 2022 Yuan Sui, Fanyang Bu, Yingting Hu, Wei Yan, Liang Zhang

Nested named entity recognition (NER) aims to identify the entity boundaries and recognize categories of the named entities in a complex hierarchical sentence.

NER Nested Named Entity Recognition

Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape

no code implementations29 Aug 2021 Farnaz Nazari, Wei Yan

A building self-shading shape impacts substantially on the amount of direct sunlight received by the building and contributes significantly to building operational energy use, in addition to other major contributing variables, such as materials and window-to-wall ratios.

BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning

no code implementations10 May 2021 Mohammad Alawadhi, Wei Yan

We created methods for using renderings to train a deep learning model, trained a generative adversarial network (GAN) model using these methods, and tested the output model on real-world photos.

Object Recognition

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data

1 code implementation2 Dec 2020 Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Weijun Sun

To address these concerns, we present a partially shared semi-supervised deep matrix factorization model (PSDMF).


Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset

no code implementations28 Dec 2019 Zohreh Shaghaghian, Wei Yan

In this study, an object recognition problem is investigated to initially predict the label of unseen sample images based on training dataset consisting of different types of synthetic 2D shapes; later, a generative DL algorithm is applied to be trained and generate new shapes for given labels.

Object Recognition

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

no code implementations18 Apr 2019 Wei Yan, Yiting shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li

Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving.

Autonomous Driving Image Compression

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