Bo Peng

29 papers A* 2Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.
IJCNLP-AACL (long papers)
Xinyi Ling, Hanwen Du, Bo Peng, Zhihui Zhu, Xia Ning
2025 J jnl
Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance.
CoRR
Ziqi Chen, Bo Peng, Tianhua Zhai, Daniel Adu-Ampratwum, Xia Ning
2025 J jnl
Multi-modality meets re-learning: mitigating negative transfer in sequential recommendation.
Knowl. Based Syst.
Bo Peng, Hanwen Du, Srinivasan Parthasarathy, Xia Ning
2025 — conf
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis.
KDD (1)
Shentao Yang, Haichuan Yang, Linna Du, Adithya Ganesh, Bo Peng, Boying Liu, Serena Li, Ji Liu
2024 J jnl
Intention enhanced mixed attentive model for session-based recommendation.
Data Min. Knowl. Discov.
Bo Peng, Srinivasan Parthasarathy, Xia Ning
2024 J jnl
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation.
ACM Trans. Knowl. Discov. Data
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2024 A* conf
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.
ICML
Bo Peng, Xinyi Ling, Ziru Chen, Huan Sun, Xia Ning
2024 J jnl
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.
CoRR
Bo Peng, Xinyi Ling, Ziru Chen, Huan Sun, Xia Ning
2023 — conf
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data.
BCB
Arpita Saha, Maggie Samaan, Bo Peng, Xia Ning
2023 A* conf
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract).
ICDE
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
M
IEEE Trans. Knowl. Data Eng.
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing.
CoRR
Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning
2023 J jnl
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation.
CoRR
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation.
CoRR
Bo Peng, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models.
CoRR
Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.
CoRR
Bo Peng, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2022 J jnl
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2022 J jnl
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation.
CoRR
Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy, Xia Ning
2022 J jnl
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation.
CoRR
Bo Peng, Srinivasan Parthasarathy, Xia Ning
2021 J jnl
Hybrid collaborative filtering methods for recommending search terms to clinicians.
J. Biomed. Informatics
Zhiyun Ren, Bo Peng, Titus K. Schleyer, Xia Ning
2020 J jnl
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak.
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020 J jnl
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.
CoRR
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2020 J jnl
Hybrid Collaborative Filtering Models for Clinical Search Recommendation.
CoRR
Zhiyun Ren, Bo Peng, Titus K. Schleyer, Xia Ning
2020 J jnl
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation.
CoRR
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2020 J jnl
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2019 J jnl
CNN-based Dual-Chain Models for Knowledge Graph Learning.
CoRR
Bo Peng, Renqiang Min, Xia Ning
2019 — conf
Deep Learning for High-Order Drug-Drug Interaction Prediction.
BCB
Bo Peng, Xia Ning
2019 — conf
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
BHI
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2019 — conf
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
MBIA/MFCA@MICCAI
Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning