Haotian Ju
Orcid: 0009-0000-3842-3656
According to our database1,
Haotian Ju
authored at least 18 papers
between 2022 and 2025.
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Bibliography
2025
Proceedings of the 11th International Conference on Mechatronics and Robotics Engineering, 2025
2024
Development of a Suspension Backpack With Quasi-Zero Stiffness and Controllable Damping.
IEEE Robotics Autom. Lett., December, 2024
Motion-Compensation Control of Supernumerary Robotic Arms Subject to Human-Induced Disturbances.
Adv. Intell. Syst., May, 2024
Configuration Design and Analysis of Reconfigurable Supernumerary Robotic Legs for Multitask Adaptation: SuperLegs.
Adv. Intell. Syst., March, 2024
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach.
Trans. Mach. Learn. Res., 2024
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024
JHT-EXO: A Soft Ankle Exosuit for Assisting Walking in Patients with Post-Stroke Foot Inversion.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024
Using Hip Assisted Running Exoskeleton with Impact Isolation Mechanism to Improve Energy Efficiency.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Human-Exoskeleton Locomotion Interaction Experience Transfer: Speeding up and Improving the Performance of Preference-based Optimizations of Exoskeleton Assistance During Walking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the 10th International Conference on Mechatronics and Robotics Engineering, 2024
Sensorless Safe Interaction Method for Novel Tendon-Driven SuperLimb Based on Dynamic Parameter Identification.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024
2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.
CoRR, 2023
CoRR, 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Robotics Autom. Lett., 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees.
Proceedings of the International Conference on Machine Learning, 2022