Haoran Han

Haoran Han

Doctor Candidate, UESTC

Haoran Han

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. My research interests include Deep Reinforcement Learning, Aerial Combat, and Control Theory.

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 College, UESTC, 2017-2021.

Honor

  • National scholarship for doctor candidates, UESTC, 2025.
  • National scholarship for master candidates, UESTC, 2022.

Publication

# represents equal contribution, * represents corresponding author.

Journal Article

  1. Haoran Han, Jian Cheng*, Maolong Lv*, Li Mo, “Addressing Hybrid Action of BVR Engagement with Joint Policy Optimization”, IEEE Transactions on Aerospace and Electronic Systems, 2026. [link]
  2. Haoran Han, Jian Cheng*, Maolong Lv*, “Enhancing Scalability in MARL-Based BVR Engagement: A Role-Aware Transformer Approach with Adaptive Attention”, IEEE Transactions on Aerospace and Electronic Systems, 2026. [link]
  3. Haoran Han, Jian Cheng*, Maolong Lv*, Li Mo, “Supervision-Enhanced Deep Reinforcement Learning for Hybrid Action in BVR Engagement”, IEEE Robotics and Automation Letters, 2026. [link]
  4. Haoran Han, Jian Cheng*, Maolong Lv*, Haibin Duan, “Augmenting the Robustness of Tactical Maneuver Decision-Making in Unmanned Aerial Combat Vehicles during Dogfights via Prioritized Population Play with Diversified Partners”, IEEE Transactions on Aerospace and Electronic Systems, 2025. [link]
  5. Haoran Han, Jian Cheng*, Maolong Lv*, Zhilong Xi, “Autonomous Navigation of UAVs in Unknown 3D Environments using Deep Reinforcement Learning for Path Planning”, IEEE Transactions on Vehicular Technology, 2025. [link]
  6. Haoran Han, Jian Cheng*, Maolong Lv, Choon Ki Ahn*, “ Enhancing Collision-Free Formation Control in Multiagent Systems: An Approach Based on Time-Derivative of Artificial Potential Functions”, IEEE Transactions on Cybernetics, 2025. [link]
  7. Haoran Han, Jian Cheng*, Zhilong Xi, Maolong Lv, “Symmetric Actor–Critic Deep Reinforcement Learning for Cascade Quadrotor Flight Control”, Neurocomputing, 2023. [link]
  8. 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]
  9. 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]
  10. Yirui Zhang#, Haoran Han#, Jian Cheng*, “QUAV Flight Control Based on Axially Symmetric DRL”, Neurocomputing, 2025. [link]
  11. Shuliang He#, Haoran Han#, Jian Cheng*, “Trajectory Tracking of QUAV Based on Cascade DRL with Feedforward Control”, Neurocomputing, 2024. [link]
  12. 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]
  13. Jinhe Wang, Maolong Lv*, Haoran Han, “An MARL-Based Interpretable Hierarchical Decision-Making Framework for BVR Air Engagement”, IEEE Transactions on Aerospace and Electronic Systems, 2026. [link]
  14. 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. Haoran Han, Jian Cheng*, Maolong Lv, “Interpretable DRL-Based Maneuver Decision of UCAV Dogfight”, IEEE CSMC, 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. 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]
  4. 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.
  5. Haoran Han, Huan Wang, Zhiliang Liu*, Zixiao He, “Non-local Denoising Convolutional Neural Network for Rolling Bearing Vibration Signal”, SDPC, 2020.
  6. Jingyi Li1#, Haoran Han#, Maolong Lv, Chenyang Sun, and Jian Cheng*, “Collision-Free Formation Control of Multi-agent System with Low Oscillation”, CCSICC, 2024. [link]
  7. 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]
  8. Zhilong Xi#, Haoran Han#, Yirui Zhang, Jian Cheng*, “Autonomous Navigation of QUAVs Under 3D Environments Based on Hierarchical Reinforcement Learning”, CCC, 2023. [link]
  9. Chenbo Ding, Le Ru, Maolong Lv*, Haoran Han, “Oscillation Mitigation for Multi-QUAV Navigation under Constrained Environment based on DRL and High-order Information of APF”, ICAIS & ISAS, 2025. Best Poster Award [link]
  10. 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.
  11. Yijia Hao, Huan Wang, Zhiliang Liu*, Haoran Han, “Multi-scale CNN based on attention mechanism for rolling bearing fault diagnosis”, APARM, 2020.

Preprint Paper

Haoran Han, “Solution of Nonhomogeneous Linear Recurrence Relations with Constant Coefficient based on Variation of Parameter”. [link]