RobuRec: Robust Sybil attack defense in online recommender systems. - Giseop Noh; Chong-kwon Kim (ICC, 2013)

Ecsy-Recsy: Considering Sybil attack with time dynamics and economics in recommender system. - Giseop Noh; Young-myoung Kang; Chong-kwon Kim (ICOIN, 2013)

Influence Level-Based Sybil Attack Resistant Recommender Systems. - Giseop Noh; Hayoung Oh (BDCloud, 2014)

Analysis & visualization on movie's popularity and reviews. - Jaehoon Lee; Giseop Noh; Chong-kwon Kim (BigComp, 2014)

Robust Sybil attack defense with information level in online Recommender Systems. - Giseop Noh; Young-myoung Kang; Hayoung Oh; Chong-kwon Kim (Expert Syst. Appl., 2014)

PSD: Practical Sybil detection schemes using stickiness and persistence in online recommender systems. - Giseop Noh; Hayoung Oh; Young-myoung Kang; Chong-kwon Kim (Inf. Sci., 2014)

Toward trustworthy social network services: A robust design of recommender systems. - Giseop Noh; Hayoung Oh; Kyu-haeng Lee; Chong-kwon Kim (J. Commun. Networks, 2015)

Follow spam detection based on cascaded social information. - Sihyun Jeong; Giseop Noh; Hayoung Oh; Chong-kwon Kim (Inf. Sci., 2016)

Trustor clustering with an improved recommender system based on social relationships. - Jaehoon Lee; Giseop Noh; Hayoung Oh; Chong-kwon Kim (Inf. Syst., 2018)

Power users are not always powerful: The effect of social trust clusters in recommender systems. - Giseop Noh; Hayoung Oh; Jaehoon Lee (Inf. Sci., 2018)

Automated Health Care Analysis using Network Structure and Sprial Analysis. - Giseop Noh (ICOIN, 2020)

BHGAttN: A Feature-Enhanced Hierarchical Graph Attention Network for Sentiment Analysis. - Junjun Zhang; Zhengyan Cui; Hyun Jun Park; Giseop Noh (Entropy, 2022)

Enhancing the Measurement of the Range of Motion Using Multi-camera Learning Approaches. - Giseop Noh; Juyoung Ahn; Bogja Jeoung (ICOST, 2023)

Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence. - Minku Koo; Jiyong Park; Hyunmoo Lee; Giseop Noh (J. Inf. Process. Syst., 2023)

ADSTGCN: A Dynamic Adaptive Deeper Spatio-Temporal Graph Convolutional Network for Multi-Step Traffic Forecasting. - Zhengyan Cui; Junjun Zhang; Giseop Noh; Hyun Jun Park (Sensors, 2023)