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I am a first-year PhD student at Deep Reinforcement Learning (DRL) Lab, Tianjin University (TJU), advised by Prof. Jianye Hao.

I hold a Master’s degree in Robotics and Control from Umeå University in Sweden. Before that, I participated in an exchange program during my fourth undergraduate year at Shenzhen University and earned dual Bachelor’s degrees: one in Physics from Umeå University and another in Electronic Science and Technology from Shenzhen University. In addition, I have held previous positions at Great Wall, LimX Dynamics and Hive Box.

I am interested in object-centric robotic manipulation. My current research interests include 6D object rearrangement, object grasping, and related tasks.

For details on my project experience, publications, and more, please visit the Work page.


Education

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Tianjin University
Ph.D. Candidate in Intelligent Science and Technology
Supervisor: Jianye Hao
Sep 2025 - Present | Tianjin, China
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Umeå universitet
Master’s Degree in Computing Science (Robotics and Control)
Thesis: Intelligible dialogue manager for social robots
Supervisor: Thomas Hellström , Suna Bensch
Sep 2020 - Sep 2023 | Umeå, Sweden
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Umeå universitet
Bachelor's degree in Physics
Thesis: A Simulation of Covid-19 Epidemic’s Second Wave Based on a Deterministic Seir Model
Supervisor: Martin Rosvall
Sep 2019 - Jul 2020 | Umeå, Sweden
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Shenzhen University
Bachelor’s degree in Electronic Science and Technology
Note: Double degree
Sep 2016 - Jul 2020 | Shenzhen, China

Work Experience

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Hive Box
Algorithm Engineer
Jul 2024 - June 2025 | Shenzhen, China
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LimX Dynamics
Algorithm Engineer
Nov 2023 - June 2024 | Shenzhen, China
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China Greatwall Technology Group Co., Ltd
Server Testing(Intern)
Jul 2019 - Aug 2019 | Shenzhen, China

Awards

  • Overseas Exchange Study Scholarship in 2020, Shenzhen University, Dec 2019
  • Outstanding Student Union Leader, Shenzhen University, Sep 2018
  • Huaqiang Scholarship, Shenzhen University, Sep 2016

Interests

When I’m not working with robots or coding, you’ll likely find me on a badminton court, at the gym (sometimes), or deep into a strategy game. I reached Challenger rank with 1000+ LP in Sets 6, 8, 9, 12, and 13 of Teamfight Tactics.

TFT