About Me
I am Hongkuan Zhou, and I obtained my bachelor’s and master’s degree from the Technical University of Munich, specialising in Computer Science. Throughout my academic journey, I have developed a keen interest in areas such as Robotic Manipulation and Perception, End-to-End Autonomous Driving Technologies, Neuro-symbolic AI, and Knowledge Graph Embeddings.
Research Interests
- Reinforcement Learning and Imitation Learning: Robotic Arm Manipulation with Reinforcement Learning or Imitation Learning Algorithms
- End-to-End Autonomous Driving: Multi-sensors Fusion Technology and Control Strategies
- Neural-symbolic AI: Neuro-symbolic AI combines symbolic representations and reasoning with neural network-based learning and pattern recognition capabilities
Education
- Bosch Cooperative Research/University of Stuttgart (Octorber 2023 - Now). Ph.D. Student with the topic of Machine Learning & Knowledge Graph.
- Technical University of Munich (Apr 2021 - Apr 2023). M.S in Computer Science.
- Technical University of Munich (Oct 2018 – Apr 2021). B.S. in Computer Science.
- Karlsruher Institut für Technologie (Oct 2017 – Oct 2018). MINT-Kolleg
Publications
- Bing Z., Zhou H. et al., “Solving Robotic Manipulation with Sparse Reward Reinforcement Learning via Graph-Based Diversity and Proximity”, in IEEE Transactions on Industrial Electronics. [Paper][Demo][Code]
- Zhou H. et al., “Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving”, in IEEE International Conference on Intelligent Transportation System. [Paper] [Web]
- Yao X. et al., “Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions”, IEEE Conference on Intelligent Robots and Systems. [Paper] [Web]
- Zhou H. et al., “Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data” [Paper]
- Zhou H. et al., “What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving” [Paper] [Code]
- Zhou H. et al., “Language-conditioned Learning for Robotic Manipulation: A Survey” [Paper]
Empolyment
- Bosch Cooperative Research Oct. 2023 - Now
- research on machine learning & knowledge graph for the scene understading in autonomous driving.
- Huawei, Munich Research Center Apr. 2022 - May. 2023 (Research Internship)
- research on secure autonomous driving technologies (access control on car operating systems, Multi-sensor fusion technologies)
- research on end-to-end autonomous driving technologies
- Technical University Munich Oct. 2019 - Apr. 2021 (Teaching assistant)
- Teaching assistant for lectures ‘Analysis for Informatics’, ‘Fundamentals of Algorithms and Data Structure’, and ‘Discrete Structure’
Contest Experience
-
Northwestern Europe Reginal Contest (ICPC NWERC 2020) rank 65. [Link] [ScoreBoard]
-
QQ Browser 2021 AI Algorithm Competition, Hyper-parameter Optimization rank 15
Languages
- Chinese (Native)
- English (Proficient)
- Germany (Proficient)
Programming Languages
- Python (Good Knowledge)
- Java (Good Knowledge)
- C/C++ (Good Knowledge)
