Bayesian Networks with Structural Restrictions: Parallelization, Performance, and Efficient Cross-Validation. - Hao Peng 007; Zhe Jin; John A. Miller 001 (BigData Congress, 2017)

Using meta-learning for model type selection in predictive big data analytics. - Mustafa V. Nural; Hao Peng 007; John A. Miller 001 (IEEE BigData, 2017)

Adding Support for Theory in Open Science Big Data. - John A. Miller 001; Hao Peng 007; Michael E. Cotterell (SERVICES, 2017)

Advanced tutorial on microscopic discrete-event traffic simulation. - John A. Miller 001; Hao Peng 007; Casey N. Bowman (WSC, 2017)

Forecasting Traffic Flow: Short Term, Long Term, and When It Rains. - Hao Peng 007; Santosh U. Bobade; Michael E. Cotterell; John A. Miller 001 (BigData Congress, 2018)

Mining massive hierarchical data using a scalable probabilistic graphical model. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; Khaled Rasheed; Krys J. Kochut; Hao Peng 007; William S. York; René Ranzinger; Melody P. Porterfield (Inf. Sci., 2018)

Multi-step Short Term Traffic Flow Forecasting Using Temporal and Spatial Data. - Hao Peng 007; John A. Miller 001 (BigData, 2019)

Knowledge and Situation-Aware Vehicle Traffic Forecasting. - Hao Peng 007; Nicholas Klepp; Mohammadhossein Toutiaee; Ismailcem Budak Arpinar; John A. Miller 001 (IEEE BigData, 2019)