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Sejoon Oh
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Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
S Oh, N Park, L Sael, U Kang
34th IEEE International Conference on Data Engineering (ICDE 2018), 1120-1131, 2018
562018
High-performance tucker factorization on heterogeneous platforms
S Oh, N Park, JG Jang, L Sael, U Kang
IEEE Transactions on Parallel and Distributed Systems 30 (10), 2237-2248, 2019
242019
Fast, accurate and provable triangle counting in fully dynamic graph streams
K Shin, S Oh, J Kim, B Hooi, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (2), 1-39, 2020
232020
Fast and scalable distributed boolean tensor factorization
N Park, S Oh, U Kang
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1071-1082, 2017
202017
Fast and scalable method for distributed Boolean tensor factorization
N Park, S Oh, U Kang
The VLDB journal 28 (4), 549-574, 2019
162019
GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis
J Lee, S Oh, L Sael
Bioinformatics 34 (24), 4151-4158, 2018
142018
Rank List Sensitivity of Recommender Systems to Interaction Perturbations
S Oh, B Ustun, J McAuley, S Kumar
arXiv preprint arXiv:2201.12686, 2022
3*2022
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
W Shalaby, S Oh, A Afsharinejad, S Kumar, X Cui
Proceedings of the 16th ACM Conference on Recommender Systems, 573-578, 2022
22022
Influence-guided Data Augmentation for Neural Tensor Completion
S Oh, S Kim, RA Rossi, S Kumar
Proceedings of the 30th ACM International Conference on Information …, 2021
12021
Implicit Session Contexts for Next-Item Recommendations
S Oh, A Bhardwaj, J Han, S Kim, RA Rossi, S Kumar
Proceedings of the 31st ACM International Conference on Information …, 2022
2022
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