Xuechun Li
Summary
Motivated computer science graduate with expertise in machine learning, reinforcement learning, and multimodal data analysis.Developed innovative solutions such as quantum reinforcement learning for control systems and clustering algorithms for integrating image and text data. Proficient in Python, C++, and SQL, with hands-on experience in frameworks like TensorFlow and Qiskit.
Overview
1
1
year of professional experience
2
2
Languages
Work History
Analysis of Variational Quantum Circuits on Surrog
10.2023 - 09.2024
- Conducted research on variational quantum circuits (VQC) and reinforcement learning for control systems.
- Developed and validated surrogate models to simulate complex industrial systems like Cart Pole, improving computational efficiency.
- Achieved enhanced control performance compared to baseline classical reinforcement learning algorithms.
Multimodal Data Clustering Project
04.2024 - 07.2024
- Developed a multimodal clustering system by combining image features (extracted via an image coding model) and text descriptions (generated using the BERT model), with dimensionality reduction via PCA.
- Processed reduced features through a neural network and applied clustering algorithms to group similar image-text pairs, enabling effective multimodal data integration.
Education
Master of Science - Computer Science
LMU
04.2001 -
Bachelor of Science - Computer Science
Zhengzhou University
04.2001 -
Bachelor of Science - Softerware Engineering
Duisbug-Essen University
04.2001 -
Skills
Python
C
Tensorflow
Pytorch
Qiskit
Timeline
Multimodal Data Clustering Project
04.2024 - 07.2024
Analysis of Variational Quantum Circuits on Surrog
10.2023 - 09.2024
Master of Science - Computer Science
LMU
04.2001 -
Bachelor of Science - Computer Science
Zhengzhou University
04.2001 -
Bachelor of Science - Softerware Engineering
Duisbug-Essen University
04.2001 -
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