activity
20192023
most citedExploring the social influence of Kaggle virtual community on the M5 competition

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 1 cited

News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand

Yun Bai, Simon Camal, Andrea Michiorri

The relationship between electricity demand and weather is well established in power systems, along with the importance of behavioral and social aspects such as holidays and signif…

cs.LG2021★ 1 cited

A hybrid ensemble method with negative correlation learning for regression

Yun Bai, Ganglin Tian, Yanfei Kang +1

Hybrid ensemble, an essential branch of ensembles, has flourished in the regression field, with studies confirming diversity's importance. However, previous ensembles consider dive…

cs.SI2021★ 1 cited

Exploring the social influence of Kaggle virtual community on the M5 competition

Xixi Li, Yun Bai, Yanfei Kang

One of the most significant differences of M5 over previous forecasting competitions is that it was held on Kaggle, an online platform of data scientists and machine learning pract…

q-fin.ST2020

Crude oil price forecasting incorporating news text

Yun Bai, Xixi Li, Hao Yu +1

Sparse and short news headlines can be arbitrary, noisy, and ambiguous, making it difficult for classic topic model LDA (latent Dirichlet allocation) designed for accommodating lon…

cs.AI2019

Research and application of time series algorithms in centralized purchasing data

Yun Bai, Suling Jia, Xixi Li

Based on the online transaction data of COSCO group's centralized procurement platform, this paper studies the clustering method of time series type data. The different methods of…