| 2014-01 | Accurate Approximation of the Earth Mover's Distance in Linear Time | 김상욱 |
| 2016-04 | Accurate Path-based Methods for Influence Maximization in Social Networks | 김상욱 |
| 2013-10 | Alleviating the Sparsity in Collaborative Filtering using Crowdsourcing | 김상욱 |
| 2011-03 | Analyzing a Korean Blogosphere: A Social Network Analysis Perspective | 김상욱 |
| 2016-04 | Analyzing Crowdsourced Promotion Effects in Online Social Networks | 김상욱 |
| 2014-01 | Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics | 김상욱 |
| 2014-03 | Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics | 김상욱 |
| 2018-01 | An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously | 김상욱 |
| 2020-07 | AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems | 김상욱 |
| 2020-10 | Are Negative Links Really Beneficial to Network Embedding? In-Depth Analysis and Interesting Results | 김상욱 |
| 2020-07 | ASiNE: Adversarial Signed Network Embedding | 김상욱 |
| 2019-07 | Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation | 김상욱 |
| 2019-12 | Autonomic machine learning platform | 김상욱 |
| 2014-12 | C-Rank and its variants: A contribution-based ranking approach exploiting links and content | 김상욱 |
| 2014-03 | C-Rank: A Contribution-Based Ranking Approach Exploiting Links and Content | 김상욱 |
| 2018-02 | Classifying malwares for identification of author groups | 김상욱 |
| 2019-05 | Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model | 김상욱 |
| 2019-12 | Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework | 김상욱 |
| 2016-04 | Collaborative Processing of Data-Intensive Algorithms with CPU, Intelligent SSD, and GPU | 김상욱 |
| 2020-10 | CR-Graph: Community Reinforcement on Graphs for Accurate Community Detection | 김상욱 |
| 2018-03 | Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions | 김상욱 |
| 2019-12 | CrowdStart: Warming up cold-start items using crowdsourcing | 김상욱 |
| 2014-04 | Data Imputation Using a Trust Network for Recommendation | 김상욱 |
| 2018-06 | Data Imputation Using a Trust Network for Recommendation via Matrix Factorization | 김상욱 |
| 2016-10 | Data Locality in Graph Engines: Implications and Preliminary Experimental Results | 김상욱 |
| 2013-01 | A Data Partitioning Approach for Hierarchical Clustering | 김상욱 |
| 2013-10 | Data Partitioning in Hierarchical Clustering: A Parameter-Insensitive Approach | 김상욱 |
| 2020-10 | Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS | 김상욱 |
| 2013-06 | e-마켓플레이스 데이터 생성을 위한 고차원 시뮬레이션 방안 | 김상욱 |
| 2020-10 | An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity | 김상욱 |
