Dr. Sitong Zhang

Hi! I am Sitong Zhang, a researcher with over six years of experience specializing in Deep Learning (DL) and Deep Reinforcement Learning (DRL). I recently relocated to Espoo, Finland, for family reasons and am actively exploring new opportunities. Feel free to reach out directly if you think I could be a good fit!

Previously, I was a postdoctoral fellow at the CityU-Oxford Joint Centre for Intelligent Multidimensional Data Analysis (CIMDA) Limited (Hong Kong), supervised by Prof. Hong Yan. During my time as a postdoctoral fellow, I developed a CNN-self-attention-based algorithm for indoor positioning and worked with cross-functional teams to create an AI-integrated Android app (demo video) that provides real-time visualization of indoor user location, improving indoor navigation efficiency.

Before that, I received my PhD degree (Dec. 2023) and Bachelor’s degree (Jun. 2018) from Harbin Engineering University. My doctoral research focused on the development of advanced DRL algorithms to enhance autonomous navigation in complex and dynamic environments, with a particular emphasis on optimizing real-time obstacle avoidance and long-distance trajectory planning for Unmanned Aerial Vehicles (UAVs).

My passion lies in bridging the gap between state-of-the-art AI research and real-world applications, leveraging cutting-edge technologies to create innovative, impactful solutions that address practical challenges and drive advancements across diverse industries.

News

Sep 21, 2024	I’ve launched my own podcast channel Minor Revision, Major Hope (Spotify, Apple Podcasts) to promote my publications, with every episode generated using NotebookLM. Big thanks to NotebookLM for making it all possible!
Sep 01, 2024	I moved to Espoo, Finland, for family reasons and am actively exploring new opportunities.
Feb 19, 2024	I started a new position as a Postdoctoral Fellow at the Cityu-Oxford Joint Centre for Intelligent Multidimensional Data Analysis (CIMDA) Limited (Hong Kong), supervised by Prof. Hong Yan.
Dec 21, 2023	I obtained my PhD at Harbin Engineering University.

Selected Publications

Autonomous navigation of UAV in multi-obstacle environments based on a deep reinforcement learning approach

Sitong Zhang, Yibing Li, and Qianhui Dong

Applied Soft Computing, 2022

Bib HTML Code Video PODCAST

@article{zhang2022autonomous,
  title = {Autonomous navigation of UAV in multi-obstacle environments based on a deep reinforcement learning approach},
  author = {Zhang, Sitong and Li, Yibing and Dong, Qianhui},
  journal = {Applied Soft Computing},
  volume = {115},
  pages = {108194},
  year = {2022},
  publisher = {Elsevier},
}

A hybrid human-in-the-loop deep reinforcement learning method for UAV motion planning for long trajectories with unpredictable obstacles

Sitong Zhang, Yibing Li, Fang Ye, Xiaoyu Geng, Zitao Zhou, Tuo Shi

Drones, 2023

Bib HTML Code PODCAST

@article{zhang2023hybrid,
  title = {A hybrid human-in-the-loop deep reinforcement learning method for UAV motion planning for long trajectories with unpredictable obstacles},
  author = {Zhang, Sitong and Li, Yibing and Ye, Fang and Geng, Xiaoyu and Zhou, Zitao and Shi, Tuo},
  journal = {Drones},
  volume = {7},
  number = {5},
  pages = {311},
  year = {2023},
  publisher = {MDPI},
}

QoS maximization scheduling of multiple UAV base stations in 3D environment

Sitong Zhang, Yibing Li, Qian Sun, Fang Ye

Internet of Things, 2023

Bib HTML PODCAST

@article{zhang2023qos,
  title = {QoS maximization scheduling of multiple UAV base stations in 3D environment},
  author = {Zhang, Sitong and Li, Yibing and Sun, Qian and Ye, Fang},
  journal = {Internet of Things},
  volume = {22},
  pages = {100726},
  year = {2023},
  publisher = {Elsevier},
}

Dynamic redeployment of UAV base stations in large-scale and unreliable environments

Sitong Zhang, Yibing Li, Yuan Tian, Zitao Zhou, Xiaoyu Geng, Tuo Shi

Internet of Things, 2023

Bib HTML PODCAST

@article{zhang2023dynamic,
  title = {Dynamic redeployment of UAV base stations in large-scale and unreliable environments},
  author = {Zhang, Sitong and Li, Yibing and Tian, Yuan and Zhou, Zitao and Geng, Xiaoyu and Shi, Tuo},
  journal = {Internet of Things},
  volume = {24},
  pages = {100985},
  year = {2023},
  publisher = {Elsevier},
}

A UAV path planning method based on deep reinforcement learning

Yibing Li, Sitong Zhang, Fang Ye, Tao Jiang, Yingsong Li

In 2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium), 2020

Bib HTML

@inproceedings{li2020uav,
  title = {A UAV path planning method based on deep reinforcement learning},
  author = {Li, Yibing and Zhang, Sitong and Ye, Fang and Jiang, Tao and Li, Yingsong},
  booktitle = {2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)},
  pages = {93--94},
  year = {2020},
  organization = {IEEE},
}

Multi-UAV cooperative mission assignment algorithm based on ACO method

Yibing Li, Sitong Zhang, Jie Chen, Tao Jiang, Fang Ye

In 2020 International Conference on Computing, Networking and Communications (ICNC), 2020

Bib HTML

@inproceedings{li2020multi,
  title = {Multi-UAV cooperative mission assignment algorithm based on ACO method},
  author = {Li, Yibing and Zhang, Sitong and Chen, Jie and Jiang, Tao and Ye, Fang},
  booktitle = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  pages = {304--308},
  year = {2020},
  organization = {IEEE},
}