RefMed: relevance feedback retrieval system fo PubMed. - Hwanjo Yu; Taehoon Kim; Jinoh Oh; Ilhwan Ko; Sungchul Kim (CIKM, 2009)

Efficient feature weighting methods for ranking. - Hwanjo Yu; Jinoh Oh; Wook-Shin Han (CIKM, 2009)

Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS. - Hwanjo Yu; Taehoon Kim; Jinoh Oh; Ilhwan Ko; Sungchul Kim; Wook-Shin Han (BMC Bioinform., 2010)

Novel Recommendation Based on Personal Popularity Tendency. - Jinoh Oh; Sun Park; Hwanjo Yu; Min Song 001; Seung-Taek Park (ICDM, 2011)

Protecting location privacy using location semantics. - Byoungyoung Lee; Jinoh Oh; Hwanjo Yu; Jong Kim 001 (KDD, 2011)

Time-Dependent User Profiling for TV Recommendation. - Jinoh Oh; Youngchul Sung; Jinha Kim; Muhammad Humayoun; Young-Ho Park 003; Hwanjo Yu (CGC, 2012)

iSampling: framework for developing sampling methods considering user's interest. - Jinoh Oh; Hwanjo Yu (CIKM, 2012)

PubMed search and exploration with real-time semantic network construction. - Jinoh Oh; Taehoon Kim; Sun Park; Hwanjo Yu (KDD, 2012)

Efficient semantic network construction with application to PubMed search. - Jinoh Oh; Taehoon Kim; Sun Park; Hwanjo Yu; Young Ho Lee (Knowl. Based Syst., 2013)

Processing time-dependent shortest path queries without pre-computed speed information on road networks. - Jinha Kim; Wook-Shin Han; Jinoh Oh; Sungchul Kim; Hwanjo Yu (Inf. Sci., 2014)

When to recommend: A new issue on TV show recommendation. - Jinoh Oh; Sungchul Kim; Jinha Kim; Hwanjo Yu (Inf. Sci., 2014)

Fast and Robust Parallel SGD Matrix Factorization. - Jinoh Oh; Wook-Shin Han; Hwanjo Yu; Xiaoqian Jiang (KDD, 2015)

Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (RecSys Challenge, 2015)

Convolutional Matrix Factorization for Document Context-Aware Recommendation. - Donghyun Kim 007; Chanyoung Park 001; Jinoh Oh; Sungyoung Lee 001; Hwanjo Yu (RecSys, 2016)

TRecSo: Enhancing Top-k Recommendation With Social Information. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (WWW (Companion Volume), 2016)

GeoVideoIndex: Indexing for georeferenced videos. - Dongha Lee 003; Jinoh Oh; Woong-Kee Loh; Hwanjo Yu (Inf. Sci., 2016)

Improving top-K recommendation with truster and trustee relationship in user trust network. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2016)

S-HOT: Scalable High-Order Tucker Decomposition. - Jinoh Oh; Kijung Shin; Evangelos E. Papalexakis; Christos Faloutsos; Hwanjo Yu (WSDM, 2017)

Do "Also-Viewed" Products Help User Rating Prediction? - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (WWW, 2017)

Influence maximization based on reachability sketches in dynamic graphs. - Dongeun Kim; Dongmin Hyeon; Jinoh Oh; Wook-Shin Han; Hwanjo Yu (Inf. Sci., 2017)

Scalable and parallelizable influence maximization with Random Walk Ranking and Rank Merge Pruning. - Seung-Keol Kim; Dongeun Kim; Jinoh Oh; Jeong-Hyon Hwang; Wook-Shin Han; Wei Chen 013; Hwanjo Yu (Inf. Sci., 2017)

Deep hybrid recommender systems via exploiting document context and statistics of items. - Donghyun Kim 007; Chanyoung Park 001; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2017)

RecTime: Real-Time recommender system for online broadcasting. - Yoojin Park; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2017)

Disk-based Matrix Completion for Memory Limited Devices. - Dongha Lee 003; Jinoh Oh; Christos Faloutsos; Byungju Kim; Hwanjo Yu (CIKM, 2018)

Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. - Kijung Shin; Mohammad Hammoud; Euiwoong Lee; Jinoh Oh; Christos Faloutsos (PAKDD (3), 2018)

DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams. - Kijung Shin; Euiwoong Lee; Jinoh Oh; Mohammad Hammoud; Christos Faloutsos (CoRR, 2018)

Scalable disk-based topic modeling for memory limited devices. - Byungju Kim; Dongha Lee 003; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2020)

OCam: Out-of-core coordinate descent algorithm for matrix completion. - Dongha Lee 003; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2020)

Fast and memory-efficient algorithms for high-order Tucker decomposition. - Jiyuan Zhang; Jinoh Oh; Kijung Shin; Evangelos E. Papalexakis; Christos Faloutsos; Hwanjo Yu (Knowl. Inf. Syst., 2020)

CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. - Kijung Shin; Euiwoong Lee; Jinoh Oh; Mohammad Hammoud; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2021)

Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. - Minseok Kim; Jinoh Oh; Jaeyoung Do; Sungjin Lee (CIKM, 2022)

Learning Personalized Representations using Graph Convolutional Network. - Hongyu Shen; Jinoh Oh; Shuai Zhao; Guoyin Wang 002; Tara Taghavi; Sungjin Lee (CoRR, 2022)

Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space. - Siwon Kim; Jinoh Oh; Sungjin Lee; Seunghak Yu; Jaeyoung Do; Tara Taghavi (CVPR, 2023)

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems. - Kibum Kim; Sein Kim; Hongseok Kang; Jiwan Kim; Heewoong Noh; Yeonjun In; Kanghoon Yoon; Jinoh Oh; Chanyoung Park 001 (CoRR, 2025)