Han Haoran

Han Haoran

Doctor Candidate, UESTC

Han Haoran

I am chasing my PHD at School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), supervised by Prof. Cheng Jian and co-supervised by Prof. Maolong Lv. Currently, my research interests include Deep Learning, Reinforcement Learning, and Robotics.

Education

  • Doctor, Information and Communication Engineering, School of Information and Communication Engineering, UESTC, 2023-present.
  • Master, Information and Communication Engineering, School of Information and Communication Engineering, UESTC, 2021-2023.
  • Bachelor, First-class honour degree, Electric and Electronic Engineering, Glasgow School, UESTC, 2017-2021.

Publication

# means equal contribution; * means corresponding author.

Journal Article

  1. Zhilong Xi#, Haoran Han#, Jian Cheng*, Maolong Lv, “Reducing Oscillations for Obstacle Avoidance in a Dense Environment Using Deep Reinforcement Learning and Time-Derivative of an Artificial Potential Field”, Drones, 2024. [link]
  2. Haoran Han, Jian Cheng*, Zhilong Xi, Maolong Lv, “Symmetric Actor–Critic Deep Reinforcement Learning for Cascade Quadrotor Flight Control”, Neurocomputing, 2023. [link]
  3. Haoran Han, Jian Cheng*, Zhilong Xi, Bingcai Yao, “Cascade Flight Control of Quadrotors Based on Deep Reinforcement Learning”, IEEE Robotics and Automation Letters, 2022. [link]
  4. Haoran Han#, Huan Wang#, Zhiliang Liu*, Jiayi Wang, “Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings”, ISA Transactions, 2022. [link]
  5. Haiwei Bai, Jian Cheng*, Yanzhou Su, Qi Wang, Haoran Han, Yijie Zhang, “Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images”, Remote Sensing, 2022. [link]

Conference Paper

  1. Ruining Zhang#, Haoran Han#, Maolong Lv, Qisong Yang, Jian Cheng*, “Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System”, AAAI, 2024. [link]
  2. Haoran Han, Zhilong Xi, Maolong Lv, Jian Cheng*, “Acceleration of Formation Control Based on Hessian Matrix of Artificial Potential Field”, CCC, 2023. [link]
  3. Zhilong Xi#, Haoran Han#, Yirui Zhang, Jian Cheng*, “Autonomous Navigation of QUAVs Under 3D Environments Based on Hierarchical Reinforcement Learning”, CCC, 2023. [link]
  4. Haoran Han#, Zhilong Xi#, Jian Cheng, Maolong Lv*, “Obstacle Avoidance Based on Deep Reinforcement Learning and Artificial Potential Field”, ICCAR, 2023. Best Oral Presentation Award [link]
  5. Ting Ai, Zhiliang Liu*, Huan Wang, Haoran Han, “Robust Vibration Signal Denoising and Diagnosis Using Encoder-Decoder Networks with Cross-layer Residual Connection”, PHM, 2021.
  6. Yijia Hao, Huan Wang, Zhiliang Liu*, Haoran Han, “Multi-scale CNN based on attention mechanism for rolling bearing fault diagnosis”, APARM, 2020.
  7. Haoran Han, Huan Wang, Zhiliang Liu*, Yijia Hao, “An Intelligence Fault Diagnosis Approach for Rolling Bearings Based on Non-local Convolutional Neural Network”, APARM, 2020.
  8. Haoran Han, Huan Wang, Zhiliang Liu*, Zixiao He, “Non-local Denoising Convolutional Neural Network for Rolling Bearing Vibration Signal”, SDPC, 2020.