THINC-scaling scheme that unifies VOF and level set methods. - Ronit Kumar; Lidong Cheng; Bin Xie; Feng Xiao 001 (CoRR, 2019)

Low-dissipation BVD schemes for single and multi-phase compressible flows on unstructured grids. - Lidong Cheng; Xi Deng; Bin Xie; Yi Jiang; Feng Xiao 001 (J. Comput. Phys., 2021)

THINC scaling method that bridges VOF and level set schemes. - Ronit Kumar; Lidong Cheng; Yunong Xiong; Bin Xie; Rémi Abgrall; Feng Xiao 001 (J. Comput. Phys., 2021)

Boosting Generalization Performance in Person Re-identification. - Lidong Cheng; Zhenyu Kuang; Hongyang Zhang; Xinghao Ding; Yue Huang 001 (PRCV (10), 2023)

Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification. - Zhenyu Kuang; Hongyang Zhang; Lidong Cheng; Yinhao Liu; Yue Huang 001; Xinghao Ding (CoRR, 2024)

AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification. - Hongyang Zhang; Zhenyu Kuang; Lidong Cheng; Yinhao Liu; Xinghao Ding; Yue Huang 001 (Knowl. Based Syst., 2024)

Generalizable Prompts Guided by Image-Redundant Separation for Vehicle Reidentification. - Zhenyu Kuang; Lidong Cheng; Hongyang Zhang; Yue Huang 001; Xinghao Ding (IEEE Internet Things J., 2025)

A low-dissipation reconstruction scheme for compressible single- and multi-phase flows based on artificial neural networks. - Minsheng Huang; Lidong Cheng; Wenjun Ying; Xi Deng; Feng Xiao (J. Comput. Phys., 2025)

Physics-informed data-driven cavitation model for a specific Mie-Grüneisen equation of state. - Minsheng Huang; Chengbao Yao; Pan Wang; Lidong Cheng; Wenjun Ying (J. Comput. Phys., 2025)