| CFGAN: A generic collaborative filtering framework based on generative adversarial networks DK Chae, JS Kang, SW Kim, JT Lee Proceedings of the 27th ACM international conference on information and …, 2018 | 197 | 2018 |
| Software plagiarism detection: a graph-based approach DK Chae, J Ha, SW Kim, BJ Kang, EG Im Proceedings of the 22nd ACM international conference on Information …, 2013 | 79 | 2013 |
| Rating augmentation with generative adversarial networks towards accurate collaborative filtering DK Chae, JS Kang, SW Kim, J Choi The World Wide Web Conference, 2616-2622, 2019 | 65 | 2019 |
| AR-CF: Augmenting virtual users and items in collaborative filtering for addressing cold-start problems DK Chae, J Kim, DH Chau, SW Kim Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 55 | 2020 |
| On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering DK Chae, SC Lee, SY Lee, SW Kim Neurocomputing 278, 134-143, 2018 | 45 | 2018 |
| Reinforcement learning over sentiment-augmented knowledge graphs towards accurate and explainable recommendation SJ Park, DK Chae, HK Bae, S Park, SW Kim Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 43 | 2022 |
| Collaborative adversarial autoencoders: An effective collaborative filtering model under the GAN framework DK Chae, JA Shin, SW Kim IEEE Access 7, 37650-37663, 2019 | 37 | 2019 |
| Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation DK Chae, SW Kim, JT Lee Knowledge-Based Systems 176, 110-121, 2019 | 23 | 2019 |
| Software plagiarism detection via the static API call frequency birthmark DK Chae, SW Kim, J Ha, SC Lee, G Woo Proceedings of the 28th Annual ACM Symposium on Applied Computing, 1639-1643, 2013 | 20 | 2013 |
| Detecting deepfake voice using explainable deep learning techniques SY Lim, DK Chae, SC Lee Applied Sciences 12 (8), 3926, 2022 | 19 | 2022 |
| Credible, resilient, and scalable detection of software plagiarism using authority histograms DK Chae, J Ha, SW Kim, BJ Kang, EG Im, SJ Park Knowledge-Based Systems 95, 114-124, 2016 | 13 | 2016 |
| Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data H Lee, E Seong, DK Chae Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 10 | 2022 |
| Influence maximisation in social networks: A target-oriented estimation YY Ko, DK Chae, SW Kim Journal of Information Science 44 (5), 671-682, 2018 | 10 | 2018 |
| Effective and efficient detection of software theft via dynamic API authority vectors DK Chae, SW Kim, SJ Cho, Y Kim Journal of Systems and Software 110, 1-9, 2015 | 10 | 2015 |
| CoMix: Collaborative filtering with mixup for implicit datasets J Moon, Y Jeong, DK Chae, J Choi, H Shim, J Lee Information Sciences 628, 254-268, 2023 | 9 | 2023 |
| Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments J Koo, DK Chae, DJ Kim, SW Kim Knowledge-Based Systems 176, 147-158, 2019 | 9 | 2019 |
| Fraud detection in comparison-shopping services: patterns and anomalies in user click behaviors SC Lee, C Faloutsos, DK Chae, SW Kim IEICE TRANSACTIONS on Information and Systems 100 (10), 2659-2663, 2017 | 9 | 2017 |
| Accurate path-based methods for influence maximization in social networks YY Ko, DK Chae, SW Kim Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 9 | 2016 |
| Exmeshcnn: An explainable convolutional neural network architecture for 3d shape analysis S Kim, DK Chae Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions HJ Kim, J Lee, DK Chae, SW Kim Information Sciences 432, 185-198, 2018 | 7 | 2018 |
