Sejoon Oh

According to our database, Sejoon Oh authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accurate and Trustworthy Recommender Systems: Algorithms and Findings.

Sejoon Oh

PhD thesis, 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

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning.

Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede

CoRR, 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

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.

Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar

CoRR, 2024

Adversarial Text Rewriting for Text-aware Recommender Systems.

Sejoon Oh, Gaurav Verma, Srijan Kumar

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Hierarchical Multi-Task Learning Framework for Session-based Recommendations.

Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui

Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations.

Sejoon Oh, Srijan Kumar

CoRR, 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

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Rank List Sensitivity of Recommender Systems to Interaction Perturbations.

Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Implicit Session Contexts for Next-Item Recommendations.

Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Influence-guided Data Augmentation for Neural Tensor Completion.

Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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

2019

Fast and scalable method for distributed Boolean tensor factorization.

Namyong Park, Sejoon Oh, U Kang

VLDB J., 2019

High-Performance Tucker Factorization on Heterogeneous Platforms.

Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang

IEEE Trans. Parallel Distributed Syst., 2019

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

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.

Sejoon Oh, Namyong Park, Lee Sael, U Kang

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Fast and Scalable Distributed Boolean Tensor Factorization.

Namyong Park, Sejoon Oh, U Kang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017