Haodong Huang

I am a doctoral candidate at Harbin Institute of Technology(Shenzhen). I obtained my Master's degree in Mechanical Engineering from the same institution under the mentorship of Dr. Shilong Sun. My research interests are diverse and encompass humanoid robot planning, control, optimization, and reinforcement learning algorithms. I firmly believe that learning-based methods will undoubtedly become mainstream in the future.

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Publications
A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model
Shilong Sun, Hao Ding, Haodong Huang, Zida Zhao, Dong Wang, Wenfu Xu
IEEE Transactions on Instrumentation and Measurement, 2024  

PDF / BibTeX

Extreme Condition Fault Diagnosis.

IoT Motion Tracking System for Workout Performance Evaluation: A Case Study on Dumbbell
Shilong Sun, Tengyi Peng, Haodong Huang, Yufan Wang, Xiao Zhang, Yu Zhou
IEEE Transactions on Consumer Electronics, 2023  

PDF / BibTeX

Internet of Things Dumbbell Exercise.

Machinery Prognostics and High-Dimensional Data Feature Extraction Based on a Transformer Self-Attention Transfer Network
Shilong Sun, Tengyi Peng, Haodong Huang
Sensors, 2023  

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Transformer RUL prediction.

An Improved Data Privacy Diagnostic Framework for Multiple Machinery Components Data Based on Swarm Learning Algorithm
Shilong Sun, Haodong Huang, Tengyi Peng, Dong Wang
IEEE Transactions on Instrumentation and Measurement, 2023  

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Different model Swarm Learning.

A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm
Shilong Sun, Haodong Huang, Tengyi Peng, Changqing Shen, Dong Wang
IEEE Transactions on Instrumentation and Measurement, 2023  

PDF / BibTeX

Swarm Learning.

Software
  • Isaac Gym: Reinforcement Learning-Based Motion Control for Humanoid Robots.

  • ROS: Communication for Humanoid Robots.

  • SL: PyTorch-based fault diagnosis algorithms.

  • Website source from Junhyeok Ahn and Chaitanya Malaviya