Yoon-Sik Cho

According to our database, Yoon-Sik Cho authored at least 25 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion.

Yujin Kang, Yoon-Sik Cho

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Approaching feature matrix: To solve two issues in link prediction.

Yeojun Choi, Yoon-Sik Cho

Expert Syst. Appl., December, 2023

Application of fairness to healthcare, organizational justice, and finance: A survey.

Pardis Birzhandi, Yoon-Sik Cho

Expert Syst. Appl., April, 2023

A Flexible Two-Tower Model for Item Cold-Start Recommendation.

Won-Min Lee, Yoon-Sik Cho

IEEE Access, 2023

Directed Acyclic Graphs With Prototypical Networks for Few-Shot Emotion Recognition in Conversation.

Yujin Kang, Yoon-Sik Cho

IEEE Access, 2023

Topological and Sequential Neural Network Model for Detecting Fake News.

Dongin Jung, Eungyeop Kim, Yoon-Sik Cho

IEEE Access, 2023

MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval.

Seong-Min Kang, Yoon-Sik Cho

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Unified framework based on Large-scale Momentum Contrastive learning for Text-Video Retrieval.

Eungyeop Kim, Nahyun Lee, Yoon-Sik Cho

Proceedings of the International Conference on Electronics, Information, and Communication, 2023

Automatic Conversation Turn-Taking Segmentation in Semantic Facet.

Dongin Jung, Yoon-Sik Cho

Proceedings of the International Conference on Electronics, Information, and Communication, 2023

Video Retrieval with Tree-Based Video Segmentation.

Seong-Min Kang, Dongin Jung, Yoon-Sik Cho

Proceedings of the Database Systems for Advanced Applications, 2023

A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors.

Jaehyuk An, Younghoon Kwon, Yoon-Sik Cho

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Detecting incongruent news headlines with auxiliary textual information.

Joonwon Jang, Yoon-Sik Cho, Minju Kim, Misuk Kim

Expert Syst. Appl., 2022

Graph Perceiver IO: A General Architecture for Graph Structured Data.

Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song

CoRR, 2022

Detecting Documents With Inconsistent Context.

Dongin Jung, Misuk Kim, Yoon-Sik Cho

IEEE Access, 2022

Stochastic-Expert Variational Autoencoder for Collaborative Filtering.

Yoon-Sik Cho, Min-hwan Oh

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Point of interest recommendations based on the anchoring effect in location-based social network services.

Young-Duk Seo, Yoon-Sik Cho

Expert Syst. Appl., 2021

2020

Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke.

Minh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, Yoon-Sik Cho, Jin Tae Kwak

Int. J. Comput. Assist. Radiol. Surg., 2020

A Variational Autoencoder Mixture Model for Online Behavior Recommendation.

Minh-Duc Nguyen, Yoon-Sik Cho

IEEE Access, 2020

A Hybrid Generative Model for Online User Behavior Prediction.

Minh-Duc Nguyen, Yoon-Sik Cho

IEEE Access, 2020

2019

A Parallel Community Detection in Multi-Modal Social Network With Apache Spark.

Yoon-Sik Cho

IEEE Access, 2019

2016

Latent Space Model for Multi-Modal Social Data.

Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan

Proceedings of the 25th International Conference on World Wide Web, 2016

2014

Mixed Membership Blockmodels for Dynamic Networks with Feedback.

Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Where and Why Users "Check In".

Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Latent Point Process Models for Spatial-Temporal Networks

Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George E. Tita

CoRR, 2013

2011

Co-Evolution of Selection and Influence in Social Networks.

Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011