Mo, Zhaobin

3 publications

ICLRW 2025 Balanced Latent Space of Diffusion Models for Counterfactual Generation Baohua Yan, Qingyuan Liu, Zhaobin Mo, Kangrui Ruan, Xuan Di

ECML-PKDD 2022 TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di

AAAI 2021 Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed by Second-Order Traffic Models Rongye Shi, Zhaobin Mo, Xuan Di