| A deep generative model for molecule optimization via one fragment modification Z Chen, MR Min, S Parthasarathy, X Ning Nature Machine Intelligence, 2021 | 49 | 2021 |
| A knowledge graph of clinical trials (CTKG) Z Chen, B Peng, VN Ioannidis, M Li, G Karypis, X Ning Scientific Reports 12 (1), 1-14, 2022 | 15* | 2022 |
| Ranking-based convolutional neural network models for peptide-MHC class I binding prediction Z Chen, MR Min, X Ning Frontiers in Molecular Biosciences 8, 634836, 2021 | 12 | 2021 |
| G2Retro as a two-step graph generative models for retrosynthesis prediction Z Chen, OR Ayinde, JR Fuchs, H Sun, X Ning Communications Chemistry 6, 102, 2023 | 9 | 2023 |
| Network reinforcement driven drug repurposing for COVID-19 by exploiting disease-gene-drug associations Y Nam, JS Yun, SM Lee, JW Park, Z Chen, B Lee, A Verma, X Ning, ... arXiv preprint arXiv:2008.05377, 2020 | 5 | 2020 |
| 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 |
| T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy Z Chen, MR Min, H Guo, C Cheng, T Clancy, X Ning Research in Computational Molecular Biology: 27th Annual International …, 2023 | 3 | 2023 |
| LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset B Yu, FN Baker, Z Chen, X Ning, H Sun arXiv preprint arXiv:2402.09391, 2024 | 2 | 2024 |
| Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models Z Chen, B Peng, S Parthasarathy, X Ning NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | 2 | 2023 |
| Binding peptide generation for MHC Class I proteins with deep reinforcement learning Z Chen, B Zhang, H Guo, P Emani, T Clancy, C Jiang, M Gerstein, X Ning, ... Bioinformatics 39 (2), btad055, 2023 | 2 | 2023 |
| 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 |
| RLSynC: Offline-Online Reinforcement Learning for Synthon Completion FN Baker, Z Chen, X Ning arXiv preprint arXiv:2309.02671, 2023 | | 2023 |
| Binding peptide generation for mhc class i proteins with deep reinforcement learning R Min, HP Graf, Z Chen US Patent US20230085160A1, 2023 | | 2023 |
| Peptide search system for immunotherapy R Min, HP Graf, Z Chen US Patent US20230083313A1, 2023 | | 2023 |
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateZweryfikowany adres z osu.edu
