Fast and Scalable Distributed Boolean Tensor Factorization. - Namyong Park; Sejoon Oh; U Kang (ICDE, 2017)

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. - Sejoon Oh; Namyong Park; Lee Sael; U Kang (ICDE, 2018)

GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis. - Jungwoo Lee; Sejoon Oh; Lee Sael (Bioinform., 2018)

High-Performance Tucker Factorization on Heterogeneous Platforms. - Sejoon Oh; Namyong Park; Jun-Gi Jang; Lee Sael; U Kang (IEEE Trans. Parallel Distributed Syst., 2019)

Fast and scalable method for distributed Boolean tensor factorization. - Namyong Park; Sejoon Oh; U Kang (VLDB J., 2019)

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. - Kijung Shin; Sejoon Oh; Jisu Kim; Bryan Hooi; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2020)

Influence-guided Data Augmentation for Neural Tensor Completion. - Sejoon Oh; Sungchul Kim; Ryan A. Rossi; Srijan Kumar (CIKM, 2021)

Implicit Session Contexts for Next-Item Recommendations. - Sejoon Oh; Ankur Bhardwaj; Jongseok Han; Sungchul Kim; Ryan A. Rossi; Srijan Kumar (CIKM, 2022)

Rank List Sensitivity of Recommender Systems to Interaction Perturbations. - Sejoon Oh; Berk Ustun; Julian J. McAuley; Srijan Kumar (CIKM, 2022)

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. - Walid Shalaby; Sejoon Oh; Amir Afsharinejad; Srijan Kumar; Xiquan Cui (RecSys, 2022)

Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations. - Sejoon Oh; Srijan Kumar (CoRR, 2022)

Hierarchical Multi-Task Learning Framework for Session-based Recommendations. - Sejoon Oh; Walid Shalaby; Amir Afsharinejad; Xiquan Cui (ORSUM@RecSys, 2023)

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space. - Gaurav Verma; Minje Choi; Kartik Sharma; Jamelle Watson-Daniels; Sejoon Oh; Srijan Kumar (ACL (Short Papers), 2024)

Adversarial Text Rewriting for Text-aware Recommender Systems. - Sejoon Oh; Gaurav Verma; Srijan Kumar (CIKM, 2024)

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections. - Gaurav Verma; Minje Choi; Kartik Sharma; Jamelle Watson-Daniels; Sejoon Oh; Srijan Kumar (CoRR, 2024)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning. - Sejoon Oh; Moumita Bhattacharya; Yesu Feng; Sudarshan Lamkhede (CoRR, 2024)

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models. - Sejoon Oh; Yiqiao Jin; Megha Sharma; Donghyun Kim; Eric Ma; Gaurav Verma; Srijan Kumar (CoRR, 2024)

Accurate and Trustworthy Recommender Systems: Algorithms and Findings. - Sejoon Oh (2024)

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. - Sejoon Oh; Berk Ustun; Julian J. McAuley; Srijan Kumar (ACM Trans. Knowl. Discov. Data, 2024)