Deep Learning for High-Order Drug-Drug Interaction Prediction. - Bo Peng 009; Xia Ning (BCB, 2019)

Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (BHI, 2019)

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. - Bo Peng 009; Zhiyun Ren; Xiaohui Yao; Kefei Liu 001; Andrew J. Saykin; Li Shen 001; Xia Ning (MBIA/MFCA@MICCAI, 2019)

CNN-based Dual-Chain Models for Knowledge Graph Learning. - Bo Peng 009; Renqiang Min; Xia Ning (CoRR, 2019)

Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (CoRR, 2020)

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2020)

M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2020)

Hybrid Collaborative Filtering Models for Clinical Search Recommendation. - Zhiyun Ren; Bo Peng 009; Titus K. Schleyer; Xia Ning (CoRR, 2020)

Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (BMC Medical Informatics Decis. Mak., 2020)

Hybrid collaborative filtering methods for recommending search terms to clinicians. - Zhiyun Ren; Bo Peng 009; Titus K. Schleyer; Xia Ning (J. Biomed. Informatics, 2021)

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation. - Bo Peng 009; Chang-Yu Tai; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2022)

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation. - Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2022)

$ mathop { mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (IEEE Trans. Knowl. Data Eng., 2022)

A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data. - Arpita Saha; Maggie Samaan; Bo Peng 009; Xia Ning (BCB, 2023)

HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (ICDE, 2023)

Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models. - Ziqi Chen; Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2023)

Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation. - Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2023)

Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation. - Bo Peng 009; Ben Burns; Ziqi Chen; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2023)

Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. - Shunian Xiang; Patrick J. Lawrence; Bo Peng 009; Chienwei Chiang; Dokyoon Kim; Li Shen 001; Xia Ning (CoRR, 2023)

M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (IEEE Trans. Knowl. Data Eng., 2023)

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data. - Bo Peng 009; Xinyi Ling; Ziru Chen; Huan Sun 001; Xia Ning (ICML, 2024)

Intention enhanced mixed attentive model for session-based recommendation. - Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (Data Min. Knowl. Discov., 2024)

Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation. - Bo Peng 009; Ziqi Chen; Srinivasan Parthasarathy 001; Xia Ning (ACM Trans. Knowl. Discov. Data, 2024)

SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. - Shentao Yang; Haichuan Yang; Linna Du; Adithya Ganesh; Bo Peng 009; Boying Liu; Serena Li; Ji Liu (KDD (1), 2025)

Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance. - Ziqi Chen; Bo Peng 009; Tianhua Zhai; Daniel Adu-Ampratwum; Xia Ning (CoRR, 2025)