Search Results for author: Ye Bi

Found 7 papers, 2 papers with code

Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms

1 code implementation3 Jul 2023 Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, Gota Morota

Therefore, the objectives of this study were to predict cow body weight from repeatedly measured video data, to compare the performance of the thresholding and Mask R-CNN deep learning approaches, to evaluate the predictive ability of body weight regression models, and to promote open science in the animal science community by releasing the source code for video-based body weight prediction.

A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter

no code implementations14 Aug 2020 Ye Bi, Shuo Wang, Zhongrui Fan

The animated Graphical Interchange Format (GIF) images have been widely used on social media as an intuitive way of expression emotion.

Learning-To-Rank

A Multimodal Late Fusion Model for E-Commerce Product Classification

no code implementations14 Aug 2020 Ye Bi, Shuo Wang, Zhongrui Fan

The cataloging of product listings is a fundamental problem for most e-commerce platforms.

Classification General Classification

DREAM: A Dynamic Relational-Aware Model for Social Recommendation

no code implementations11 Aug 2020 Liqiang Song, Ye Bi, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao

In this paper, we propose a unified framework named Dynamic RElation Aware Model (DREAM) for social recommendation, which tries to model both users dynamic interests and their friends temporal influences.

Recommendation Systems Relation

UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks

no code implementations6 Aug 2020 Bo Huang, Ye Bi, Zhen-Yu Wu, Jianming Wang, Jing Xiao

The problem of session-based recommendation aims to predict user next actions based on session histories.

Session-Based Recommendations

A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users

1 code implementation30 Jul 2020 Ye Bi, Liqiang Song, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao

Specifically, we first try to learn more effective user and item latent features in both source and target domains.

DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

no code implementations27 Jul 2020 Ye Bi, Liqiang Song, Mengqiu Yao, Zhen-Yu Wu, Jianming Wang, Jing Xiao

In this paper, we propose a Deep Cross Domain Insurance Recommendation System (DCDIR) for cold start users.

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