Bo Peng

Orcid: 0009-0000-7569-1828

Affiliations:
  • Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA


According to our database1, Bo Peng authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
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

2023
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

2022
$\mathop {\mathtt {HAM}}$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

2021
Hybrid collaborative filtering methods for recommending search terms to clinicians.
J. Biomed. Informatics, 2021

2020
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

2019
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


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