| : Hybrid Associations Models for Sequential Recommendation B Peng, Z Ren, S Parthasarathy, X Ning IEEE Transactions on Knowledge and Data Engineering 34 (10), 4838-4853, 2021 | 38 | 2021 |
| M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation B Peng, Z Ren, S Parthasarathy, X Ning arXiv preprint arXiv:2004.01646, 2020 | 20* | 2020 |
| A knowledge graph of clinical trials (CTKG) Z Chen, B Peng, VN Ioannidis, M Li, G Karypis, X Ning Scientific reports 12 (1), 4724, 2022 | 15* | 2022 |
| Deep learning for high-order drug-drug interaction prediction B Peng, X Ning Proceedings of the 10th ACM international conference on bioinformatics …, 2019 | 11 | 2019 |
| Hybrid collaborative filtering methods for recommending search terms to clinicians Z Ren, B Peng, TK Schleyer, X Ning Journal of biomedical informatics 113, 103635, 2021 | 9 | 2021 |
| Prioritization of cognitive assessments in alzheimer's disease via learning to rank using brain morphometric data B Peng, X Yao, SL Risacher, AJ Saykin, L Shen, X Ning 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 4 | 2019 |
| Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation B Peng, B Burns, Z Chen, S Parthasarathy, X Ning arXiv preprint arXiv:2310.01612, 2023 | 3 | 2023 |
| Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models Z Chen, B Peng, S Parthasarathy, X Ning arXiv preprint arXiv:2308.11890, 2023 | 3 | 2023 |
| Cognitive biomarker prioritization in Alzheimer’s Disease using brain morphometric data B Peng, X Yao, SL Risacher, AJ Saykin, L Shen, X Ning, ADNI BMC Medical Informatics and Decision Making 20, 1-11, 2020 | 3 | 2020 |
| Recursive attentive methods with reused item representations for sequential recommendation B Peng, S Parthasarathy, X Ning arXiv preprint arXiv:2209.07997, 2022 | 1 | 2022 |
| Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation B Peng, CY Tai, S Parthasarathy, X Ning arXiv preprint arXiv:2206.01875, 2022 | 1 | 2022 |
| CNN-based dual-chain models for knowledge graph learning B Peng, R Min, X Ning arXiv preprint arXiv:1911.06910, 2019 | 1 | 2019 |
| Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank B Peng, Z Ren, X Yao, K Liu, AJ Saykin, L Shen, X Ning, ADNI International Workshop on Multimodal Brain Image Analysis, 139-148, 2019 | 1 | 2019 |
| eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data B Peng, X Ling, Z Chen, H Sun, X Ning arXiv preprint arXiv:2402.08831, 2024 | | 2024 |
| Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation B Peng, Z Chen, S Parthasarathy, X Ning arXiv preprint arXiv:2311.07742, 2023 | | 2023 |
| Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation B Peng, S Parthasarathy, X Ning arXiv preprint arXiv:2309.10195, 2023 | | 2023 |
| A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data A Saha, M Samaan, B Peng, X Ning Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | | 2023 |
| Modeling Path Importance for Effective Alzheimer’s Disease Drug Repurposing S Xiang, PJ Lawrence, B Peng, CW Chiang, D Kim, L Shen, X Ning PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 306-321, 2023 | | 2023 |
| Systems and methods for providing health care search recommendations X Ning, Z Ren, B Peng, TK Schleyer US Patent App. 17/526,591, 2022 | | 2022 |
| Applications of Data Mining in Healthcare B Peng Purdue University, 2019 | | 2019 |
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateVerified email at osu.edu
