Research

My research focuses on machine learning and its applications, such as, Bioinformatics, Glycomics, FinTech, Medical Informatics, Intelligent Education, and Social Media Informatics. I am recruiting PhD students with solid backgrounds in math and programming.

Recent publications:

• Yang, T., Sha, L., and Hong, P. (2020). NagE: Non-Abelian Group Embedding for Knowledge Graphs. ACM International Conference on Information AND Management.
• Yang, T., Sha, L., Li, J. and Hong, P. (2020). A Deep Learning Approach for COVID-19 Trend Prediction. International workshop on Epidemiology meets Data Mining and Knowledge discovery
• Vimal, V. P., Zheng, H., Hong, P., Fakharzadeh, L. N., Lackner, J. R., DiZio, P. (2020). Characterizing Individual Differences in a Dynamic Stabilization Task using Machine Learning. Aerospace Medicine and Human Performance, 91(6):479-488. https://doi.org/10.3357/amhp.5552.2020.
• Yoong, L. F., Lim, H. K., Tran, H., Lackner, S., Zheng, Z., Hong, P., Moore, A. W. (2020). Atypical Myosin Tunes Dendrite Arbor Subdivision. Neuron, 106:1–16. https://doi.org/10.1016/j.neuron.2020.02.002
• Zhao, R., Hong, P., and Liu, J.S. (2020). IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms. Entropy, 22(3):291. https://doi.org/10.3390/e22030291
• Xing, X., Sha, L., Hong, P., Shang, Z., Liu, J.S. (2020). Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. International Conference on Learning Representations 2020.
• Wei, J., Tang, Y., Bai, Y., Zaia, J., Costello, C., Hong, P., Lin, C. (2020). Towards Automatic and Comprehensive Glycan Characterization by On-line PGC-LC-EED MS/MS. American Chemical Society. 92(1):782-791. https://doi.org/10.1021/acs.analchem.9b03183
• Wang, L.^*, Sha, L^*, Lakin, J. R., Bynum, J., Bates, D. W., Hong, P., Zhou, L. (2019). Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients with Dementia for Earlier Palliative Care Interventions. JAMA Network Open, 2(7):e196972.
• Zheng Z. and Hong P. (2018) Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks. Neural Information Processing Systems.
• Tang Y., Pu Y., Gao J., Hong P., Costello C., Lin C.. (2018) De Novo Glycan Sequencing by Electronic Excitation Dissociation and Fixed-Charge Derivatization. Analytical Chemistry.
• Sha L. and Hong P. (2017) Neural Knowledge Tracing. In: Frasson C., Kostopoulos G. (eds) Brain Function Assessment in Learning. BFAL 2017. Lecture Notes in Computer Science, vol 10512. Springer, Cham.
• Hong P., Sun H., Sha L., Pu Y., Khatri K., Yu X., Tang Y., Lin C. (2017) GlycoDeNovo -- an Efficient Algorithm for Accurate de novo Glycan Topology Reconstruction from Tandem Mass Spectra. Journal of The American Society for Mass Spectrometry. Note: Machine Learning in Chemistry (Glycomics). Download software

Teaching (co-teach)

• COSI 101A Fundamentals of Artificial Intelligence
• COSI 123A Statistical Machine Learning
• COSI 129A Introduction to Big Data Analysis
• COSI 149B Practical Machine Learning with Big Data (with applications in FinTech, Computer Vision, NLP, and Life Sciences)
• COSI 178A Computational Biology