Haoqi Hu
Orcid: 0009-0000-2764-7267
According to our database1,
Haoqi Hu authored at least 18 papers
between 2021 and 2026.
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Bibliography
2026
IEEE Trans. Ind. Informatics, May, 2026
Precise Model-Based Predictive Motion Control for Electric Vehicles Using Limited Offline Data and Real-Time Online Adaptation.
IEEE Trans. Ind. Electron., April, 2026
Integrating Unstructured Text into Causal Inference: Empirical Evidence from Real Data.
CoRR, February, 2026
Automated Hyperparameter Tuning for Data-Driven MPC: A Differentiable ADMM Approach for Enhancing Vehicle Stability.
IEEE Trans. Ind. Electron., January, 2026
LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models.
CoRR, January, 2026
Pattern Recognit. Lett., 2026
2025
CoRR, May, 2025
ISPRS Int. J. Geo Inf., 2025
Automated Hyperparameter Tuning of NMPC Based on Differentiable PMP for Electric Vehicles.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
Impacts of Transmission Power Control on Link Quality Estimation in Wireless Sensor Networks.
IEEE Access, 2024
A Kalman Filtering and Least Absolute Residuals based Time Series Data Reconstruction Strategy for Structural Health Monitoring.
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024
Path Tracking for Four-Wheel Steering and Four-Wheel Drive Autonomous Vehicles: Integration of Backstepping and Optimization Approaches.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024
2023
Multim. Tools Appl., February, 2023
Application of Millimeter-Wave Radar in the Life Detection System of the Mining Area.
Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture, 2023
2022
A Novel Simultaneous Planning and Control Scheme of Automated Lane Change on Slippery Roads.
IEEE Trans. Intell. Transp. Syst., 2022
A fully supervised universal adversarial perturbations and the progressive optimization.
J. Intell. Fuzzy Syst., 2022
2021
Inheritance Attention Matrix-Based Universal Adversarial Perturbations on Vision Transformers.
IEEE Signal Process. Lett., 2021