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Journal Articles
- 2023
[j12]Yujin Kang
, Yoon-Sik Cho:
Directed Acyclic Graphs With Prototypical Networks for Few-Shot Emotion Recognition in Conversation. IEEE Access 11: 117633-117642 (2023)- [j11]Dongin Jung, Eungyeop Kim, Yoon-Sik Cho:
Topological and Sequential Neural Network Model for Detecting Fake News. IEEE Access 11: 143925-143935 (2023) - [j10]Won-Min Lee, Yoon-Sik Cho:
A Flexible Two-Tower Model for Item Cold-Start Recommendation. IEEE Access 11: 146194-146207 (2023) - [j9]Pardis Birzhandi, Yoon-Sik Cho:
Application of fairness to healthcare, organizational justice, and finance: A survey. Expert Syst. Appl. 216: 119465 (2023) - [j8]Yeojun Choi, Yoon-Sik Cho:
Approaching feature matrix: To solve two issues in link prediction. Expert Syst. Appl. 234: 120985 (2023) - 2022
- [j7]Dongin Jung, Misuk Kim, Yoon-Sik Cho:
Detecting Documents With Inconsistent Context. IEEE Access 10: 98970-98980 (2022) - [j6]Joonwon Jang, Yoon-Sik Cho, Minju Kim, Misuk Kim:
Detecting incongruent news headlines with auxiliary textual information. Expert Syst. Appl. 199: 116866 (2022) - 2021
- [j5]Young-Duk Seo, Yoon-Sik Cho:
Point of interest recommendations based on the anchoring effect in location-based social network services. Expert Syst. Appl. 164: 114018 (2021) - 2020
- [j4]Minh-Duc Nguyen, Yoon-Sik Cho:
A Hybrid Generative Model for Online User Behavior Prediction. IEEE Access 8: 3761-3771 (2020) - [j3]Minh-Duc Nguyen, Yoon-Sik Cho:
A Variational Autoencoder Mixture Model for Online Behavior Recommendation. IEEE Access 8: 132736-132747 (2020) - [j2]Minh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, Yoon-Sik Cho, Jin Tae Kwak:
Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke. Int. J. Comput. Assist. Radiol. Surg. 15(1): 151-162 (2020) - 2019
- [j1]Yoon-Sik Cho:
A Parallel Community Detection in Multi-Modal Social Network With Apache Spark. IEEE Access 7: 27465-27478 (2019)
Conference and Workshop Papers
- 2024
- [c11]Yujin Kang, Yoon-Sik Cho:
Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion. EACL (1) 2024: 2194-2208 - [c10]Yoon-Sik Cho:
Decoupled Variational Graph Autoencoder for Link Prediction. WWW 2024: 839-849 - 2023
- [c9]Jaehyuk An, Younghoon Kwon, Yoon-Sik Cho:
A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors. IEEE Big Data 2023: 1-5 - [c8]Seong-Min Kang, Dongin Jung, Yoon-Sik Cho:
Video Retrieval with Tree-Based Video Segmentation. DASFAA (3) 2023: 405-414 - [c7]Dongin Jung, Yoon-Sik Cho:
Automatic Conversation Turn-Taking Segmentation in Semantic Facet. ICEIC 2023: 1-4 - [c6]Eungyeop Kim, Nahyun Lee, Yoon-Sik Cho:
A Unified framework based on Large-scale Momentum Contrastive learning for Text-Video Retrieval. ICEIC 2023: 1-3 - [c5]Seong-Min Kang, Yoon-Sik Cho:
MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval. SIGIR 2023: 475-484 - 2022
- [c4]Yoon-Sik Cho, Min-hwan Oh:
Stochastic-Expert Variational Autoencoder for Collaborative Filtering. WWW 2022: 2482-2490 - 2016
- [c3]Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan:
Latent Space Model for Multi-Modal Social Data. WWW 2016: 447-458 - 2014
- [c2]Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan:
Where and Why Users "Check In". AAAI 2014: 269-275 - 2011
- [c1]Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan:
Co-Evolution of Selection and Influence in Social Networks. AAAI 2011: 779-784
Reference Works
- 2014
- [r1]Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan:
Mixed Membership Blockmodels for Dynamic Networks with Feedback. Handbook of Mixed Membership Models and Their Applications 2014: 527-545
Informal and Other Publications
- 2022
- [i4]Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song:
Graph Perceiver IO: A General Architecture for Graph Structured Data. CoRR abs/2209.06418 (2022) - 2015
- [i3]Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan:
Latent Space Model for Multi-Modal Social Data. CoRR abs/1510.05318 (2015) - 2013
- [i2]Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George E. Tita:
Latent Point Process Models for Spatial-Temporal Networks. CoRR abs/1302.2671 (2013) - 2011
- [i1]Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan:
Co-evolution of Selection and Influence in Social Networks. CoRR abs/1106.2788 (2011)
Coauthor Index
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