Ki Yong Lee

About Ki Yong Lee

Ki Yong Lee, With an exceptional h-index of 13 and a recent h-index of 7 (since 2020), a distinguished researcher at Sookmyung Women's University, specializes in the field of Database, Data Mining, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cross Attention Integration: Enhancing Session-based Recommendations with Item-Category Interactions

Extending Transformer to Predict Both the Order and Occurrence Times of Elements in a Sequence

A Gradient-Based Explanation Method for Node Classification Using Graph Convolutional Networks.

TI-former: A Time-Interval Prediction Transformer for Timestamped Sequences

SDCG: Silhouette-based Deep Clustering with GNN for Improved Graph Node Clustering

A Neural Language Model with Attention Mechanism Based on Convolutional Neural Network

Deep Learning-based Stock Price Prediction Using Limit Order Books and News Headlines

A Deep Learning Model for Identifying The Time Lag Between Explanatory Variables and Response Variable in Regression Analysis

Ki Yong Lee Information

University

Position

Professor Division of Computer Science

Citations(all)

497

Citations(since 2020)

145

Cited By

381

hIndex(all)

13

hIndex(since 2020)

7

i10Index(all)

16

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Ki Yong Lee Skills & Research Interests

Database

Data Mining

Big Data

Top articles of Ki Yong Lee

Cross Attention Integration: Enhancing Session-based Recommendations with Item-Category Interactions

2024/2/18

Ki Yong Lee
Ki Yong Lee

H-Index: 7

Extending Transformer to Predict Both the Order and Occurrence Times of Elements in a Sequence

2024/2/18

Ki Yong Lee
Ki Yong Lee

H-Index: 7

A Gradient-Based Explanation Method for Node Classification Using Graph Convolutional Networks.

Journal of Information Processing Systems

2023/12/1

Ki Yong Lee
Ki Yong Lee

H-Index: 7

TI-former: A Time-Interval Prediction Transformer for Timestamped Sequences

2023/5/23

Ki Yong Lee
Ki Yong Lee

H-Index: 7

SDCG: Silhouette-based Deep Clustering with GNN for Improved Graph Node Clustering

2023/5/23

Ki Yong Lee
Ki Yong Lee

H-Index: 7

A Neural Language Model with Attention Mechanism Based on Convolutional Neural Network

International Journal of Machine Learning and Computing

2022/3

Ki Yong Lee
Ki Yong Lee

H-Index: 7

Deep Learning-based Stock Price Prediction Using Limit Order Books and News Headlines

Journal of Society for e-Business Studies

2022/6/7

Ki Yong Lee
Ki Yong Lee

H-Index: 7

A Deep Learning Model for Identifying The Time Lag Between Explanatory Variables and Response Variable in Regression Analysis

Proceedings of the Korea Information Processing Society Conference

2021

Ki Yong Lee
Ki Yong Lee

H-Index: 7

An anomalous sequence detection method based on an extended LSTM autoencoder

The Journal of Society for e-Business Studies

2021

Ki Yong Lee
Ki Yong Lee

H-Index: 7

Effective and Efficient Similarity Measures for Purchase Histories Considering Product Taxonomy

Journal of Information Processing Systems

2021

Ki Yong Lee
Ki Yong Lee

H-Index: 7

Human gait recognition based on integrated gait features using kinect depth cameras

2020/7/13

Wonjin Kim
Wonjin Kim

H-Index: 11

Ki Yong Lee
Ki Yong Lee

H-Index: 7

An Approach to Improving the Effectiveness of Data Augmentation for Deep Neural Networks

2020/7/13

Ki Yong Lee
Ki Yong Lee

H-Index: 7

Efficient processing of spatio-temporal joins on IoT data

IEEE Access

2020/6/10

Ki Yong Lee
Ki Yong Lee

H-Index: 7

Minwoo Park
Minwoo Park

H-Index: 9

Development of an automatic classification system for game reviews based on word embedding and vector similarity

Journal of digital imaging

2009/4

A graph embedding technique for weighted graphs based on LSTM autoencoders

Journal of Information Processing Systems

2020

Ki Yong Lee
Ki Yong Lee

H-Index: 7

See List of Professors in Ki Yong Lee University(Sookmyung Women's University)

Co-Authors

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