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Education

PhD in Data Science, The University of Hong Kong, Hong Kong SAR (2024 - 2028 Expected)
- Funded by the Hong Kong PhD Fellowship Scheme
- Also recognized as HKU Presidential PhD Scholar
Bachelor of Science in Information and Computing Science, Peking University, Beijing, China (2020 - 2024)

Work experience

June 2023 - November 2023: Research Assistant
- HKU Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong SAR
- Duties includes: (1) Developed machine learning algorithms for robotic manipulation tasks. (2) Designed methods for robots to learn task-relevant concepts from unlabeled demonstrations. (3) Created frameworks for discovering and utilizing manipulation primitives.
- Supervisor: Prof. Yanchao Yang

Skills

Machine Learning & AI: PyTorch, JAX, TensorFlow, etc.
Programming Languages: Python, C/C++, CUDA, Arduino, etc.

Publications

HiMaCon: Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data

Liu, Ruizhe, et al. "$\textit {HiMaCon:} $ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data." The Thirty-ninth Annual Conference on Neural Information Processing Systems.

AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations

Zhou, Pei, et al. "AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations." The Thirteenth International Conference on Learning Representations.

InfoCon: Concept Discovery with Generative and Discriminative Informativeness

Liu, Ruizhe, Qian Luo, and Yanchao Yang. "InfoCon: Concept Discovery with Generative and Discriminative Informativeness." The Twelfth International Conference on Learning Representations.

Ruizhe Liu

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