| Dirichlet energy constrained learning for deep graph neural networks K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu Advances in Neural Information Processing Systems (NeurIPS) 34, 21834-21846, 2021 | 130 | 2021 |
| S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu WSDM '23 (ACM International Conference on Web Search and Data Mining), 787–795, 2023 | 103 | 2023 |
| Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection Q Tan, X Zhang, N Liu, D Zha, L Li, R Chen, SH Choi, X Hu WSDM '23 (ACM International Conference on Web Search and Data Mining), 625–633, 2023 | 47 | 2023 |
| Explainable recommender systems via resolving learning representations N Liu, Y Ge, L Li, X Hu, R Chen, SH Choi ACM International Conference on Information & Knowledge Management (CIKM …, 2020 | 46 | 2020 |
| Mgae: Masked autoencoders for self-supervised learning on graphs Q Tan, N Liu, X Huang, R Chen, SH Choi, X Hu arXiv preprint arXiv:2201.02534, 2022 | 44 | 2022 |
| An Information Fusion Approach to Learning with Instance-Dependent Label Noise Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu International Conference on Learning Representations (ICLR), 2022 | 41 | 2022 |
| Designing TCP-friendly window-based congestion control for real-time multimedia applications SH Choi, M Handley In proceedings of PFLDNeT, 2009 | 21 | 2009 |
| Adaptive Label Smoothing To Regularize Large-Scale Graph Training K Zhou, SH Choi, Z Liu, N Liu, F Yang, R Chen, L Li, X Hu SDM '23 (SIAM International Conference on Data Mining), 2023 | 20 | 2023 |
| Table2Graph: Transforming Tabular Data to Unified Weighted Graph K Zhou, Z Liu, R Chen, L Li, SH Choi, X Hu International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 20 | 2022 |
| Fairer TCP-friendly congestion control protocol for multimedia streaming applications SH Choi, M Handley Proceedings of the 2007 ACM CoNEXT conference, 1-2, 2007 | 17 | 2007 |
| DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification Z Liu, K Zhou, Z Jiang, L Li, R Chen, SH Choi, X Hu Transactions on Machine Learning Research, 2023 | 16 | 2023 |
| A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding X Qu, L Li, X Liu, R Chen, Y Ge, SH Choi IEEE International Conference on Big Data (Big Data), 2019 | 10 | 2019 |
| Double wins: Boosting accuracy and efficiency of graph neural networks by reliable knowledge distillation Q Tan, D Zha, N Liu, SH Choi, L Li, R Chen, X Hu 2023 IEEE International Conference on Data Mining (ICDM), 1343-1348, 2023 | 9 | 2023 |
| Editable graph neural network for node classifications Z Liu, Z Jiang, S Zhong, K Zhou, L Li, R Chen, SH Choi, X Hu arXiv preprint arXiv:2305.15529, 2023 | 9 | 2023 |
| Design and analysis for TCP-friendly window-based congestion control SH Choi University of London, 2006 | 7 | 2006 |
| Congestion control for real-time interactive multimedia streams SH Choi UCL (University College London), 2011 | 6 | 2011 |
| Adaptive RiskAware Bidding with Budget Constraint in Display Advertising Z Jiang, K Zhou, M Zhang, R Chen, X Hu, SH Choi ACM SIGKDD Explorations Newsletter 25 (1), 73-82, 2023 | 5 | 2023 |
| Load balanced wavelength routing algorithm for the layered-graph model SH Choi, YH Jeong, MH Park, JS Choi Conference on the Optical Internet/Australian Conference on Optical Fibre …, 2003 | 5 | 2003 |
| Standardization efforts in optical networking focused on architecture and signaling issues SH Choi, TM Han, YH Jeong Optical Networking 4585, 312-321, 2001 | 5 | 2001 |
| Graph contrastive learning with model perturbation Q Tan, S Ding, N Liu, SH Choi, L Li, R Chen, X Hu | 4 | 2022 |
Rui ChenChief Scientist, Samsung Ads / Senior Director of Engineering (AI), Samsung Research Americasamsung.com의 이메일 확인됨