Dr. Zhiwei Meng | Autonomous Driving | Best Researcher Award
Jilin University | China
Dr. Zhiwei Meng is an accomplished researcher whose work focuses on autonomous driving, vehicle trajectory prediction, and artificial intelligence applications in intelligent transportation systems. His research integrates advanced deep learning frameworks, attention mechanisms, and generative adversarial networks (GANs) to enhance the precision and safety of autonomous vehicle navigation. Dr. Zhiwei Meng has authored and co-authored several SCI-indexed publications in high-impact journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology, and the Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. His notable contributions, including the VectorNet-Interaction-GAN and Hierarchical Mamba frameworks, demonstrate innovation in predictive modeling and motion analysis. With 14 research papers, 39 citations, and an h-index of 4, Dr. Zhiwei Meng has established himself as a promising scholar in the field of intelligent mobility and computational vehicle dynamics, consistently contributing to advancements in data-driven decision-making for autonomous systems.
Profile: Scopus | Orcid
Featured Publications
He, R., Meng, Z., Jia, R., Cui, S., Zhang, S., & Chang, Y. (2025). HMambaOcc: Hierarchical Mamba for occupancy flow field prediction in autonomous driving under mixed traffic environments. Expert Systems with Applications, 130056.
He, R., Chang, Y., Zhang, S., Meng, Z., & Li, W. (2025). Personalized car-following strategy based on convolutional variational autoencoder and mildly conservative Q-learning. IEEE Transactions on Vehicular Technology, 3559314.
He, R., Meng, Z., Zhang, S., Cui, S., Chang, Y., Jin, X., Bai, R., & Xu, T. (2025). The SGC-Informer-based deep learning framework: Managing the efficiency–accuracy trade-off in vehicle trajectory prediction. IEEE Transactions on Vehicular Technology, 3561946.
Meng, Z., He, R., Wu, J., Zhang, S., Bai, R., & Zhi, Y. (2025). GIVA: Interaction-aware trajectory prediction based on GRU-improved VGG-attention mechanism model for autonomous vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
He, R., Chang, Y., Zhang, S., Meng, Z., Jin, X., Bai, R., & Li, K. (2025). Microscopic traffic flow modeling method based on driving style. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.