About me

I’m a master student (1.3/1.0 within germany scholarship program) of Robotics from Technical University Munich, located in Garching of Munich, Germany. I graduated in Mechanical Engineering (1.4/1.0), best 2%) from the University Paderborn in Germany, located in North Rhine-Westphalia. My research interest includes computer vision, machine learning, and human-machine-interaction.

In my undergraduate studies, I was more inclined towards computational optimization in mechanics and mathematics, so I completed an undergraduate thesis on process optimization at the Institute of Lightweight(LiA), with Prof. Dr. Thomas Tröster. I was very fortunate to be advised by Prof. Dr.-Ing. Sami Haddadin of MIRMI from Technical University Munich. I was advised by M.Sc. M.Sc. Tingli Hu from Technical University Munich. I completed a paper in which I completed some content related to human-computer interaction, vision tasks with deep learning, AR/VR Embedded system development, if you want to know more please see here.

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Recommendation letter

Due to my excellent performance throughout my work and study career, I received a total of 5 letters of recommendation from outstanding professors and doctoral engineers in the field.

  • Reference Letter from Prof. Dr.-Ing. Birgit Vogel-Heuser Email but please contact: Email or best contact Frau Hartl directly Letter
  • Reference Letter from Prof. Dr. -Ing. Zhichao Qu Email Letter
  • Reference Letter from M.Sc. M.Sc.Tingli Hu from Prof. Dr.-Ing. Sami Haddadin Email Letter
  • Reference Letter from Dr.-Ing. Franz Irlinger Email Letter
  • Reference Letter from Helios.ai,Hong Kong,China (If you are interested, please contact me and I will provide you with the professor’s contact information.)

Publications

  • M. Wang, C. Zhang, Y. Wang, J. Gao, W. Wang, L. Yang. Bi-level Whitening for Test-time Adaptation. Preprint for ICML 2024 Conference Submission, 22/01/2024.
  • C. Zhang. Ego-perspective enhanced fitness training experience of AR try to move game. The 2023 International Conference on Machine Learning and Automation (CONF-MLA 2023), 18/10/2023. Link
  • W. Dai, Y. Jiang, C. Mou, C. Zhang. An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms. In Proceedings of the 2023 6th International Conference on Big Data Technologies (ICBDT ‘23). Association for Computing Machinery (ACM), New York, NY, USA, 28–32. Link
  • Q. Li, C. Zhang. Continual learning on deployment pipelines for Machine Learning Systems. Accepted by The Conference on Neural Information Processing Systems (NeurIPS), DMML Workshop, 10/2022. Link

Research Experience

  • Assistant for human upper limb and human-robot interaction, Munich Institute of Robotics and Machine Intelligence (MIRMI), TUM, Germany Reference Letter
  • Assistant for EIVESIM Intern, Institute of Automation and Information Systems (AIS), TUM, Germany Reference Letter
  • Research Assistant Small size defect detection on chip surface, DeeCamp for AI & MEGAROBO AG, China Certificate
  • Research Assistant for SeaClear underwater robots Intern, Chair of information-oriented control (ITR), TUM, Germany Reference Letter
  • Assistant for Technical Mechanics Intern, Chair of Technical Mechanics, University of Paderborn, Germany Certificate
  • Engineering internship for Automation & Production Intern, Volkswagen AG, Wolfsburg, Germany Certificate

Award

Foreign Experience

  • ETH EXCITE Zurich Summer School on Biomedical Imaging 5 - 16 September 2022 Certificate
  • Tsing Hua Global Summer School 2022 Certificate