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(2026). Enhancing semantic and risk controllability in safety-critical scenario generation: An LLM-guided conditional diffusion method. Accident Analysis & Prevention, 236, 108648. [2] Xu, P., Wang, Q., Ye, Y., Wong, S. C., & Zhou, H*. (2025). Text as data: Narrative mining of non-collision injury incidents on public buses by structural topic modeling. Travel Behaviour and Society, 39, 100981. [3] Zhou, R., Lin, Z., Zhang, G., Huang, H., Zhou, H*., & Chen, J. (2024). Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers. IEEE Transactions on Intelligent Transportation Systems. [4] Chang, F., Huang, H., Chan, A. H., Man, S. S., Gong, Y., & Zhou, H*. (2022). Capturing long-memory properties in road fatality rate series by an autoregressive fractionally integrated moving average model with generalized autoregressive conditional heteroscedasticity: A case study of Florida, the United States, 1975–2018. Journal of safety research, 81, 216-224. [5] Xu, P., Bai, L., Pei, X., Wong, S. C., & Zhou, H*. (2022). Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data. 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