NingLab GitHub

Ziqi Chen, Oluwatosin R. Ayinde, James R. Fuchs, Huan Sun, and Xia Ning. G2Retro: Two-step graph generative models for retrosynthesis prediction. Communications Chemistry, 6(1):102, 2023. [github][webportal]

Bo Peng and Xia Ning. M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation, IEEE Transactions on Knowledge and Data Engineering, Jan 2022. [github]

Ziqi Chen and Xia Ning. Modof: Molecule Optimization via Fragment-based Generative Models, Nature Machine Intelligence, December 2021. [github]

Ziqi Chen, Martin Renqiang Min, and Xia Ning. Ranking-based convolutional neural network models for peptide-MHC Class I binding prediction. Frontiers in Molecular Biosciences, 8:128, May 2021. [github]

Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, and Xia Ning. HAM: Hybrid associations model with pooling for sequential recommendation. IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2021.3049692. [github]

Yicheng He, Junfeng Liu, and Xia Ning. Drug selection via joint push and learning to rank. IEEE Transactions on Computational Biology and Bioinformatics, 17(1):110–123, January 2020. PMID: 29994481. [github][zip][GUI]

Junfeng Liu and Xia Ning. Differential compound prioritization via bi-directional selectivity push with power. Journal of Chemical Information and Modeling, 57(12):2958–2975, 2017. PMID: 29178784. [github][zip][data]

Junfeng Liu and Xia Ning. Multi-assay-based compound prioritization via assistance utilization: A machine learning framework. Journal of Chemical Information and Modeling, 57(3):484–498, 2017. PMID: 28234477. [github][zip][data]

Xia Ning and George Karypis. SLIM: Sparse linear methods for top-n recommender systems. In Proceedings of the 2011 IEEE 11th International Conference on Data Mining, ICDM’11, pages 497–506, Dec 2011. [github][website]