Bo Peng

Ziqi Chen

ACM Trans. Knowl. Discov. Data, September, 2024

Intention enhanced mixed attentive model for session-based recommendation.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., July, 2024

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

M<sup>2</sup>: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.

[BibT_eX]

[DOI]

Ben Burns

Ziqi Chen

CoRR, 2023

Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models.

[BibT_eX]

[DOI]

Ziqi Chen

CoRR, 2023

HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation.

[BibT_eX]

[DOI]

Chang-Yu Tai

CoRR, 2022

2021

Hybrid collaborative filtering methods for recommending search terms to clinicians.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

2020

Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Hybrid Collaborative Filtering Models for Clinical Search Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.

[BibT_eX]

[DOI]

CoRR, 2020

2019

CNN-based Dual-Chain Models for Knowledge Graph Learning.

[BibT_eX]

[DOI]

Renqiang Min

CoRR, 2019

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Deep Learning for High-Order Drug-Drug Interaction Prediction.

[BibT_eX]

[DOI]