A shock-stable HLLEM scheme with improved contact resolving capability for compressible Euler flows. - Lijun Hu; Haizhuan Yuan; Kunlei Zhao (J. Comput. Phys., 2022)

A fast-converging scheme for the phonon Boltzmann equation with dual relaxation times. - Jia Liu; Chuang Zhang; Haizhuan Yuan; Wei Su 007; Lei Wu 003 (J. Comput. Phys., 2022)

A Hybrid Multilayer Perceptron-Radial Basis Function (HMLP-RBF) Neural Network for Solving Hyperbolic Conservation Laws. - Yang Xiao; Liming Yang; Haizhuan Yuan; Chang Shu 002 (SN Comput. Sci., 2022)

Two-relaxation-time regularized lattice Boltzmann model for convection-diffusion equation with variable coefficients. - Yuan Yu; Zuojian Qin; Haizhuan Yuan; Shi Shu (CoRR, 2023)

An accurate, robust and efficient convection-pressure flux splitting scheme for compressible Euler flows. - Lijun Hu; Shide Tan; Long Li; Haizhuan Yuan (J. Comput. Phys., 2023)

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. - Di Mi; Yanjun Zhang; Leo Yu Zhang; Shengshan Hu; Qi Zhong; Haizhuan Yuan; Shirui Pan (AAAI, 2024)

MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks. - Teng Fei; Xinjing Liu; Yanjun Zhang; Haizhuan Yuan; Tianqing Zhu; Leo Yu Zhang (PAKDD (4), 2025)

Two-relaxation-time regularized lattice Boltzmann model for convection-diffusion equation with spatially dependent coefficients. - Yuan Yu; Zuojian Qin; Haizhuan Yuan; Shi Shu (Appl. Math. Comput., 2025)

A stable and efficient semi-implicit coupling method for fluid-structure interaction problems with immersed boundaries in a hybrid CPU-GPU framework. - Yuhang Zeng; Yan Wang 034; Haizhuan Yuan (J. Comput. Phys., 2025)

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. - Ruining Sun; Hongsheng Hu; Wei Luo 001; Zhaoxi Zhang; Yanjun Zhang; Haizhuan Yuan; Leo Yu Zhang (CoRR, 2025)