Nihar, A., Curran, A., Karimi, A., \customboldJ. L. Braid, A., Bruckman, L., Koyutürk, M., & Wu, Y.(2021).Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data..
Halimi, A., Dervishi, L., Ayday, E., Pyrgelis, A., Troncoso-Pastoriza, J., Hubaux, J., Jiang, X., & Vaidya, J.(2021).Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies.arXiv preprint arXiv:2101.08879.
Li, D., Li, Q., Ye, F., & Xu, S.(2021).A Framework for Enhancing Deep Neural Networks Against Adversarial Malware.IEEE Transactions on Network Science and Engineering,8(1),736-750.
Zhang, Y., Qian, Y., Fan, Y., Ye, F., Liu, X., Xiong, Q., & Shao, F.(2020).dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets.ACM.
Connamacher, H., & Dobrosotskaya, J.(2020).On the uniformity of the approximation for generalized Stirling numbers of the second kind.Contributions to Discrete Mathematics,15(3),25--42.
Kucuk, Y., & Podgurski, A. A.(2020).CounterFault: Value-Based Fault Localization by Modeling and Predicting Counterfactual Outcomes.International Conference on Software Maintenance and Evolution (ICSME)/ IEEE.
Zhao, L., Chen, J., & Ye, F.(2020).Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting.IEEE Transactions on Knowledge and Data Engineering,32(10),1923-1935.
Ye, F., Hou, S., Fan, Y., Zhang, Y., Qian, Y., Sun, S., Peng, Q., Ju, M., Song, W., & Loparo, K. A.(2020).$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.IEEE Journal of Biomedical and Health Informatics,24(10),2755-2764.
Zhang, J., Chen, L., Ye, F., Guo, G., Chen, R., Vanasse, A., & Wang, S.(2020).Survival neural networks for time-to-event prediction in longitudinal study.Knowledge and Information Systems,62(9),3727-3751.
Qian, M., Almasan, A., & Gurkan Cavusoglu, E.(2020).Abstract 5499: Cell cycle-dependent, comprehensive mathematical modeling of the role of DNA repair in response to radiotherapy for prostate cancer.AACR Meeting and June,; Philadelphia, PA.
Chen, H., Cheng, F., & Li, J.(2020).iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.PLoS Computational Biology,16(7).
Chen, H., & Li, J.(2020).Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network.Twenty-International Joint Conference Artificial Intelligence and Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI}.
Chen, H., & Li, J.(2020).Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems.Twenty-International Joint Conference Artificial Intelligence and Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI}.
