I'm a Ph.D. student at Zhejiang University, specializing in Music AI research. My work focuses on the intersection of artificial intelligence, deep learning, and music technology.
- Music Information Retrieval (MIR)
- Generative Models for Music Composition
- Audio Signal Processing
- Music Emotion Recognition
- Human-Computer Interaction in Music Systems
- Programming Languages: Python, MATLAB, C++
- Libraries & Frameworks: PyTorch, Librosa
- Music Technologies: DAWs (FL Studio, Studio One), MIDI, Audio Processing
- Developing novel deep learning architectures for symbolic music generation
- Exploring transformer-based models for cross-modal music understanding
- Creating interactive AI systems for music composition assistance
- PrSpMV: An Efficient Predictable Kernel for SpMV (ICCD, 2023)
- MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music (IJCAI, 2024)
- Google Scholar
- Email: lsyxary@zju.edu.cn
โญ๏ธ Feel free to explore my repositories and don't hesitate to reach out for collaborations or discussions about Music AI!