Mining Web Access Sequence with Improved Apriori Algorithm. - Jun Yang 035; Haoxiang Huang; Xiaohui Jin (CSE/EUC (1), 2017)

Neural Networks with Inputs Based on Domain of Dependence and A Converging Sequence for Solving Conservation Laws, Part I: 1D Riemann Problems. - Haoxiang Huang; Yingjie Liu; Vigor Yang (CoRR, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Haoxiang Huang; Laure Zanna; Narges Razavian; Jonathan Niles-Weed; Carlos Fernandez-Granda (ICML, 2022)

Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems. - Haoxiang Huang; Yingjie Liu; Vigor Yang (CoRR, 2022)

Research on Distributed Dynamic Trusted Access Control Based on Security Subsystem. - Haoxiang Huang; Jianbiao Zhang; Jun Hu; Yingfang Fu; Chenggang Qin (IEEE Trans. Inf. Forensics Secur., 2022)

Perturbation Analysis of Neural Collapse. - Tom Tirer; Haoxiang Huang; Jonathan Niles-Weed (ICML, 2023)

Neural Network with Local Converging Input (NNLCI) for Supersonic Flow Problems with Unstructured Grids. - Weiming Ding; Haoxiang Huang; Tzu Jung Lee; Yingjie Liu; Vigor Yang (CoRR, 2023)

Attention-Aware Neuromorphic Semantic Communications. - Haoxiang Huang; Yanzhen Liu (MLSP, 2024)

SRFL: A Secure & Robust Federated Learning framework for IoT with trusted execution environments. - Yihao Cao; Jianbiao Zhang; Yaru Zhao; Pengchong Su; Haoxiang Huang (Expert Syst. Appl., 2024)

FlexibleFL: Mitigating poisoning attacks with contributions in cloud-edge federated learning systems. - Yaru Zhao; Yihao Cao; Jianbiao Zhang; Haoxiang Huang; Yanhui Liu (Inf. Sci., 2024)

Privacy-Preserving Federated Learning With Improved Personalization and Poison Rectification of Client Models. - Yihao Cao; Jianbiao Zhang; Yaru Zhao; Hong Shen 001; Haoxiang Huang (IEEE Trans. Inf. Forensics Secur., 2024)

SABDTM: Security-first architecture-based dynamic trusted measurement scheme for operating system of the virtual computing node. - Haoxiang Huang; Jianbiao Zhang; Lei Zhang; Jun Hu; Yihao Cao (Comput. Secur., 2024)

Prototype-oriented hypergraph representation learning for anomaly detection in tabular data. - Shu Li; Yi Lu; Shicheng Jiu; Haoxiang Huang; Guangqi Yang; Jiong Yu (Inf. Process. Manag., 2025)