Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation.
ACM Trans. Knowl. Discov. Data, September, 2024
Intention enhanced mixed attentive model for session-based recommendation.
Data Min. Knowl. Discov., July, 2024
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
M<sup>2</sup>: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2023
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing.
CoRR, 2023
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.
CoRR, 2023
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation.
CoRR, 2023
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models.
CoRR, 2023
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation.
CoRR, 2022
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation.
CoRR, 2022
Hybrid collaborative filtering methods for recommending search terms to clinicians.
J. Biomed. Informatics, 2021
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak., 2020
Hybrid Collaborative Filtering Models for Clinical Search Recommendation.
CoRR, 2020
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation.
CoRR, 2020
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.
CoRR, 2020
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR, 2020
CNN-based Dual-Chain Models for Knowledge Graph Learning.
CoRR, 2019
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Deep Learning for High-Order Drug-Drug Interaction Prediction.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019