FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.
ACM Trans. Knowl. Discov. Data, November, 2024
Accurate and Trustworthy Recommender Systems: Algorithms and Findings.
PhD thesis, 2024
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models.
CoRR, 2024
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning.
CoRR, 2024
Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections.
CoRR, 2024
Adversarial Text Rewriting for Text-aware Recommender Systems.
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.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Hierarchical Multi-Task Learning Framework for Session-based Recommendations.
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
Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations.
CoRR, 2022
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Implicit Session Contexts for Next-Item Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Influence-guided Data Augmentation for Neural Tensor Completion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams.
ACM Trans. Knowl. Discov. Data, 2020
Fast and scalable method for distributed Boolean tensor factorization.
VLDB J., 2019
High-Performance Tucker Factorization on Heterogeneous Platforms.
IEEE Trans. Parallel Distributed Syst., 2019
GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis.
Bioinform., 2018
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Fast and Scalable Distributed Boolean Tensor Factorization.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017