| : 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 | 47 | 2021 |
| 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 | 46 | 2024 |
| 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 | 35* | 2020 |
| Generating 3D binding molecules using shape-conditioned diffusion models with guidance Z Chen, B Peng, T Zhai, D Adu-Ampratwum, X Ning arXiv preprint arXiv:2502.06027, 2025 | 28* | 2025 |
| 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 | 27* | 2022 |
| 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 | 18 | 2021 |
| 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 | 15 | 2023 |
| Deep learning for high-order drug-drug interaction prediction B Peng, X Ning Proceedings of the 10th ACM international conference on bioinformatics …, 2019 | 15 | 2019 |
| 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), 319, 2020 | 13 | 2020 |
| Swat: Statistical modeling of video watch time through user behavior analysis S Yang, H Yang, L Du, A Ganesh, B Peng, B Liu, S Li, J Liu Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and …, 2025 | 7 | 2025 |
| Modeling sequences as star graphs to address over-smoothing in self-attentive sequential recommendation B Peng, Z Chen, S Parthasarathy, X Ning ACM Transactions on Knowledge Discovery from Data 18 (8), 1-24, 2024 | 7 | 2024 |
| Generating 3D small binding molecules using shape-conditioned diffusion models with guidance Z Chen, B Peng, T Zhai, D Adu-Ampratwum, X Ning Nature Machine Intelligence, 1-13, 2025 | 6 | 2025 |
| Systems and methods for providing health care search recommendations X Ning, Z Ren, B Peng, TK Schleyer US Patent 12,062,436, 2024 | 6 | 2024 |
| Intention enhanced mixed attentive model for session-based recommendation B Peng, S Parthasarathy, X Ning Data Mining and Knowledge Discovery 38 (4), 2032-2061, 2024 | 5 | 2024 |
| A knowledge graph of clinical trials ( ) Z Chen, B Peng, VN Ioannidis, M Li, G Karypis, X Ning Scientific Reports 12 (1), 1-14, 2022 | 4 | 2022 |
| 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 |
| Multi-modality meets re-learning: Mitigating negative transfer in sequential recommendation B Peng, H Du, S Parthasarathy, X Ning Knowledge-Based Systems, 114479, 2025 | 3 | 2025 |
| 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. Pacific Symposium on Biocomputing 29, 306, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models J Jiang, J Zhou, B Peng, X Ning, Z Zhu arXiv preprint arXiv:2505.17316, 2025 | 1 | 2025 |
