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2.Feng, S., Yan, X., Sun, H., Feng, Y. and Liu, H.X., 2021. Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment. Nature Communications, 12, 748 (2021). (Featured Article) (TechXplore: https://techxplore.com/news/2021-02-intelligence-autonomous.html)

3.Yan, X., Zou, Z., Feng, S., Zhu, H., Sun, H. and Liu, H.X, 2023. Learning naturalistic driving environment with statistical realism. Nature Communications, 14, 2037 (2023). (Featured Article)

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5.Feng, S., Feng, Y., Sun, H., Bao, S., Zhang, Y. and Liu, H.X., 2020. Testing scenario library generation for connected and automated vehicles, Part II: Case studies. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2020.2988309.

6.Feng, S., Feng, Y., Sun, H., Zhang, Y. and Liu, H.X., 2020. Testing scenario library generation for connected and automated vehicles: An adaptive framework. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2020.3023668.

7.Feng, S., Sun, H., Zhang, Y., Zheng, J., Liu, H.X. and Li, L., 2019. Tube-based discrete controller design for vehicle platoons subject to disturbances and saturation constraints. IEEE Transactions on Control Systems Technology, 28(3), pp.1066-1073.

8.Feng, S., Song, Z., Li, Z., Zhang, Y. and Li, L., 2021. Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control. IEEE Transactions on Intelligent Vehicles. DOI: 10.1109/TIV.2021.3060626.

9.Pei, H., Zhang, Y., Zhang, Y. and Feng, S.*, 2021. Optimal cooperative driving at signal-free intersections with polynomial-time complexity. IEEE Transactions on Intelligent Transportation Systems. 23 (8), 12908-12920.

10.Pei, H., Feng, S.*, Zhang, Y*. and Yao, D., 2019. A Cooperative Driving Strategy for Merging at On-Ramps Based on Dynamic Programming. IEEE Transactions on Vehicular Technology, 68(12), pp.11646-11656.

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12.Feng, S., Zhang, Y., Li, S.E., Cao, Z., Liu, H.X. and Li, L., 2019. String stability for vehicular platoon control: Definitions and analysis methods. Annual Reviews in Control, 47, pp.81-97.

13.Feng, S., Wang, X., Sun, H., Zhang, Y. and Li, L., 2018. A better understanding of long-range temporal dependence of traffic flow time series. Physica A: Statistical Mechanics and its Applications, 492, pp.639-650.

14.Feng, S., Ke, R., Wang, X., Zhang, Y. and Li, L., 2017. Traffic flow data compression considering burst components. IET Intelligent Transport Systems, 11(9), pp.572-580.

15.Liu, L., Feng, S.*, Feng, Y., Zhu, X. and Liu, H.X., 2021. A learning-based stochastic driving model for autonomous vehicle testing. Transportation Research Record. DOI: 10.1177/03611981211035756.

16.Sun, H., Feng, S.*, Yan, X. and Liu, H.X., 2021. Corner case generation and analysis for safety assessment of autonomous vehicles. Transportation Research Record. DOI: 10.1177/03611981211018697.