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2020 – today
- 2025
[j6]Shu Li
, Yi Lu, Shicheng Jiu, Haoxiang Huang, Guangqi Yang, Jiong Yu:
Prototype-oriented hypergraph representation learning for anomaly detection in tabular data. Inf. Process. Manag. 62(1): 103877 (2025)- 2024
- [j5]Haoxiang Huang, Jianbiao Zhang, Lei Zhang, Jun Hu, Yihao Cao:
SABDTM: Security-first architecture-based dynamic trusted measurement scheme for operating system of the virtual computing node. Comput. Secur. 137: 103648 (2024) - [j4]Yihao Cao, Jianbiao Zhang, Yaru Zhao, Pengchong Su, Haoxiang Huang:
SRFL: A Secure & Robust Federated Learning framework for IoT with trusted execution environments. Expert Syst. Appl. 239: 122410 (2024) - [j3]Yaru Zhao, Yihao Cao, Jianbiao Zhang, Haoxiang Huang, Yanhui Liu:
FlexibleFL: Mitigating poisoning attacks with contributions in cloud-edge federated learning systems. Inf. Sci. 664: 120350 (2024) - [j2]Yihao Cao, Jianbiao Zhang, Yaru Zhao, Hong Shen, Haoxiang Huang:
Privacy-Preserving Federated Learning With Improved Personalization and Poison Rectification of Client Models. IEEE Trans. Inf. Forensics Secur. 19: 8845-8859 (2024) - [c4]Haoxiang Huang, Yanzhen Liu:
Attention-Aware Neuromorphic Semantic Communications. MLSP 2024: 1-6 - 2023
- [c3]Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed:
Perturbation Analysis of Neural Collapse. ICML 2023: 34301-34329 - [i4]Weiming Ding, Haoxiang Huang, Tzu Jung Lee, Yingjie Liu, Vigor Yang:
Neural Network with Local Converging Input (NNLCI) for Supersonic Flow Problems with Unstructured Grids. CoRR abs/2310.15299 (2023) - 2022
- [j1]Haoxiang Huang, Jianbiao Zhang, Jun Hu, Yingfang Fu, Chenggang Qin:
Research on Distributed Dynamic Trusted Access Control Based on Security Subsystem. IEEE Trans. Inf. Forensics Secur. 17: 3306-3320 (2022) - [c2]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda:
Deep Probability Estimation. ICML 2022: 13746-13781 - [i3]Haoxiang Huang, Yingjie Liu, Vigor Yang:
Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems. CoRR abs/2204.10424 (2022) - [i2]Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed:
Perturbation Analysis of Neural Collapse. CoRR abs/2210.16658 (2022) - 2021
- [i1]Haoxiang Huang, Yingjie Liu, Vigor Yang:
Neural Networks with Inputs Based on Domain of Dependence and A Converging Sequence for Solving Conservation Laws, Part I: 1D Riemann Problems. CoRR abs/2109.09316 (2021)
2010 – 2019
- 2017
- [c1]Jun Yang, Haoxiang Huang, Xiaohui Jin:
Mining Web Access Sequence with Improved Apriori Algorithm. CSE/EUC (1) 2017: 780-784
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