Treat-before-trick : Free-riding prevention for BitTorrent-like peer-to-peer networks. - Kyuyong Shin; Douglas S. Reeves; Injong Rhee (IPDPS, 2009)

Winnowing: Protecting P2P systems against pollution through cooperative index filtering. - Kyuyong Shin; Douglas S. Reeves (J. Netw. Comput. Appl., 2012)

A Performance Analysis of Incentive Mechanisms for Cooperative Computing. - Carlee Joe-Wong; Youngbin Im; Kyuyong Shin; Sangtae Ha (ICDCS, 2016)

SVC-TChain: Incentivizing good behavior in layered P2P video streaming. - Parisa Rahimzadeh; Carlee Joe-Wong; Kyuyong Shin; Youngbin Im; Jongdeog Lee; Sangtae Ha (INFOCOM, 2017)

T-Chain: A General Incentive Scheme for Cooperative Computing. - Kyuyong Shin; Carlee Joe-Wong; Sangtae Ha; Yung Yi; Injong Rhee; Douglas S. Reeves (IEEE/ACM Trans. Netw., 2017)

Graphs, Entities, and Step Mixture. - Kyuyong Shin; Wonyoung Shin; Jung-Woo Ha 001; Sunyoung Kwon (CoRR, 2020)

Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments. - Young-Jin Park; Kyuyong Shin; Kyung-Min Kim (CoRR, 2020)

Multi-Manifold Learning for Large-scale Targeted Advertising System. - Kyuyong Shin; Young-Jin Park; Kyung-Min Kim; Sunyoung Kwon (CoRR, 2020)

Graphs, Entities, and Step Mixture for Enriching Graph Representation. - Kyuyong Shin; Wonyoung Shin; Jung-Woo Ha 001; Sunyoung Kwon (IEEE Access, 2021)

One4all User Representation for Recommender Systems in E-commerce. - Kyuyong Shin; Hanock Kwak; Kyung-Min Kim; Minkyu Kim; Young-Jin Park; Jisu Jeong; Seungjae Jung (CoRR, 2021)

Scaling Law for Recommendation Models: Towards General-purpose User Representations. - Kyuyong Shin; Hanock Kwak; Kyung-Min Kim; Su Young Kim; Max Nihlén Ramström (CoRR, 2021)

Ask Me What You Need: Product Retrieval using Knowledge from GPT-3. - Su Young Kim; Hyeon-Jin Park; Kyuyong Shin; Kyung-Min Kim (CoRR, 2022)

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. - Kyuyong Shin; Hanock Kwak; Wonjae Kim; Jisu Jeong; Seungjae Jung; Kyung-Min Kim; Jung-Woo Ha 001; Sang-Woo Lee 001 (CoRR, 2022)

Scaling Law for Recommendation Models: Towards General-Purpose User Representations. - Kyuyong Shin; Hanock Kwak; Su Young Kim; Max Nihlén Ramström; Jisu Jeong; Jung-Woo Ha 001; Kyung-Min Kim (AAAI, 2023)

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. - Kyuyong Shin; Hanock Kwak; Wonjae Kim; Jisu Jeong; Seungjae Jung; Kyungmin Kim; Jung-Woo Ha 001; Sang-Woo Lee 001 (ACL (1), 2023)