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Sejoon Oh
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Books and Theses
- 2024
- [b1]Sejoon Oh:
Accurate and Trustworthy Recommender Systems: Algorithms and Findings. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Journal Articles
- 2020
- [j4]Kijung Shin
, Sejoon Oh
, Jisu Kim, Bryan Hooi
, Christos Faloutsos:
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14(2): 12:1-12:39 (2020) - 2019
- [j3]Sejoon Oh
, Namyong Park, Jun-Gi Jang, Lee Sael
, U Kang:
High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 30(10): 2237-2248 (2019) - [j2]Namyong Park, Sejoon Oh
, U Kang:
Fast and scalable method for distributed Boolean tensor factorization. VLDB J. 28(4): 549-574 (2019) - 2018
- [j1]Jungwoo Lee, Sejoon Oh
, Lee Sael
:
GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis. Bioinform. 34(24): 4151-4158 (2018)
Conference and Workshop Papers
- 2023
- [c7]Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui:
Hierarchical Multi-Task Learning Framework for Session-based Recommendations. ORSUM@RecSys 2023 - 2022
- [c6]Sejoon Oh
, Berk Ustun, Julian J. McAuley
, Srijan Kumar:
Rank List Sensitivity of Recommender Systems to Interaction Perturbations. CIKM 2022: 1584-1594 - [c5]Sejoon Oh
, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CIKM 2022: 4364-4368 - [c4]Walid Shalaby, Sejoon Oh
, Amir Afsharinejad, Srijan Kumar, Xiquan Cui:
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. RecSys 2022: 573-578 - 2021
- [c3]Sejoon Oh
, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CIKM 2021: 1386-1395 - 2018
- [c2]Sejoon Oh, Namyong Park, Lee Sael, U Kang:
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE 2018: 1120-1131 - 2017
- [c1]Namyong Park, Sejoon Oh
, U Kang:
Fast and Scalable Distributed Boolean Tensor Factorization. ICDE 2017: 1071-1082
Informal and Other Publications
- 2024
- [i9]Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar:
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. CoRR abs/2402.03481 (2024) - [i8]Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar:
Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections. CoRR abs/2402.16832 (2024) - 2023
- [i7]Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui:
Hierarchical Multi-Task Learning Framework for Session-based Recommendations. CoRR abs/2309.06533 (2023) - 2022
- [i6]Sejoon Oh, Srijan Kumar:
Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations. CoRR abs/2201.12686 (2022) - [i5]Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CoRR abs/2208.09076 (2022) - [i4]Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui:
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. CoRR abs/2209.11824 (2022) - 2021
- [i3]Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CoRR abs/2108.10248 (2021) - 2018
- [i2]Jungwoo Lee, Sejoon Oh, Lee Sael:
GIFT: Guided and Interpretable Factorization for Tensors - An Application to Large-Scale Multi-platform Cancer Analysis. CoRR abs/1801.02769 (2018) - 2017
- [i1]Sejoon Oh, Namyong Park, Lee Sael, U Kang:
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR abs/1710.02261 (2017)
Coauthor Index
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