| Efficient and effective influence maximization in social networks: a hybrid-approach YY Ko, KJ Cho, SW Kim Information Sciences 465, 144-161, 2018 | 41 | 2018 |
| An in-depth analysis of distributed training of deep neural networks Y Ko, K Choi, J Seo, SW Kim 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 13 | 2021 |
| KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction SWK Yunyong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim ... Proceedings of The ACM Web Conference, 2023 | 10* | 2023 |
| MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems Y Ko, JS Yu, HK Bae, Y Park, D Lee, SW Kim 2021 IEEE International Conference on Data Mining (ICDM), 290-299, 2021 | 10 | 2021 |
| 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 |
| 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 |
| ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning Y Ko, K Choi, H Jei, D Lee, SW Kim Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| Not all layers are equal: A layer-wise adaptive approach toward large-scale DNN training Y Ko, D Lee, SW Kim Proceedings of the ACM Web Conference 2022, 1851-1859, 2022 | 5 | 2022 |
| SHAT: A Novel Asynchronous Training Algorithm That Provides Fast Model Convergence in Distributed Deep Learning Y Ko, SW Kim Applied Sciences 12 (1), 292, 2021 | 4 | 2021 |
| RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis MH Jang, Y Ko, D Jeong, JM Park, SW Kim Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19 S Han, Y Ko, Y Kim, SS Oh, H Park, SW Kim Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1771-1778, 2022 | 2 | 2022 |
| COVID-19 Cascade Dataset for Fake News Detection SE Han, Y Kang, Y Ko, J Ahn, Y Kim, SS Oh, H Park, SW Kim Proceedings of the Korea Information Processing Society Conference, 312-313, 2021 | 2 | 2021 |
| Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning Y Ko, H Tong, SW Kim arXiv preprint arXiv:2309.05798, 2023 | 1 | 2023 |
| HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System Y Jeon, J Kim, S Park, Y Ko, S Ryu, SW Kim, K Han arXiv preprint arXiv:2402.18222, 2024 | | 2024 |
| SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication MH Jang, Y Ko, HM Gwon, I Jo, Y Park, SW Kim arXiv preprint arXiv:2308.13626, 2023 | | 2023 |
| Knowledge Graph Embedding Methods for Political Stance Prediction: Performance Evaluation S Ryu, Y Ko, SW Kim Proceedings of the Korea Information Processing Society Conference, 519-521, 2023 | | 2023 |
| CoAID+ : COVID-19 News Cascade Dataset for Social Context Based Fake News Detection S Han, Y Kang, Y Ko, J Ahn, Y Kim, S Oh, H Park, SW Kim KIPS Transactions on Software and Data Engineering 11 (4), 149-156, 2022 | | 2022 |
| Precision Switching for Efficient Matrix Factorization in Recommender Systems JS Yu, YY Ko, HK Bae, S Kang, Y Yu, Y Park, SW Kim Proceedings of the Korea Information Processing Society Conference, 314-315, 2021 | | 2021 |
| Influence maximization for effective advertisement in social networks: problem, solution, and evaluation SJ Hong, YY Ko, M Joe, SW Kim Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1314-1321, 2019 | | 2019 |
| Fast Influence Maximization in Social Networks YY Ko, KJ Cho, SW Kim Journal of KIISE 44 (10), 1105-1111, 2017 | | 2017 |
Sang-Wook KimProfessor of Computer Science and Engineering, Hanyang Universityhanyang.ac.kr의 이메일 확인됨
