- Music X Lab Website: http://www.musicxlab.com/
- Publication List: http://www.musicxlab.com/#/publications
- POP909: a dataset for music arrangement generation, https://github.com/music-x-lab/POP909-Dataset
- MIDI AutoLabel Dataset, https://github.com/instr3/MIDI-AutoLabel-Dataset
- Automatic Audio-to-symbolic Arrangement, https://github.com/ZZWaang/audio2midi
- A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis, https://github.com/kikyo-16/a-unified-model-for-zero-shot-musical-source-separation-transcription-and-synthesis
- Hierarchical Metrical Structure Analysis, https://github.com/music-x-lab/Hierarchical-Metrical-Structure
- Self-supervised Hierarchical Metrical Structure Analysis, https://github.com/music-x-lab/Self-Supervised-Metrical-Structure
- Large Vocabulary Chord Transcription via Structrual Decomposition, https://github.com/music-x-lab/ISMIR2019-Large-Vocabulary-Chord-Recognition
- Automatic Melody Reduction via Shortest Path Finding, https://github.com/ZZWaang/melody-reduction-algo
- EC2VAE: Deep Music Analogy Via Latent Representation Disentanglement, https://github.com/buggyyang/Deep-Music-Analogy-Demos
- PianoTree VAE: Structured Representation Learning for Polyphonic Music, https://github.com/ZZWaang/PianoTree-VAE
- Learning interpretable representation for controllable polyphonic music generation, https://github.com/ZZWaang/polyphonic-chord-texture-disentanglement
- Transformer VAE: https://github.com/music-x-lab/TransformerVAE
- MuseBERT: Pre-training of Music Representation for Music Understanding and Controllable Generation, https://github.com/ZZWaang/musebert
- AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer, https://github.com/zhaojw1998/AccoMontage
- Hierarchical EC2VAE: Learning long-term music representations via hierarchical contextual constrains, https://github.com/SqWei17/hierarachical-ec2vae
- Discovering Music Relations with Sequential Attention, https://github.com/music-x-lab/SeqAttn
- Controllable Music Inpainting With Mixed-level and Disentangled Representation, https://github.com/SqWei17/Mixed-Encoding-for-Music-Inpainting
- Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls, https://github.com/aik2mlj/polyffusion
- Structured multi-track accompaniment arrangement via style prior modelling, https://github.com/zhaojw1998/Structured-Arrangement-Code
- Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models, https://github.com/ZZWaang/whole-song-gen
- TOMI: Transforming and Organizing Music Ideas for Multi-Track Compositions with Full-Song Structure, https://github.com/heqi201255/TOMI
- Versatile Symbolic Music-for-Music Modeling via Function Alignment: https://github.com/music-x-lab/midi-function-alignment
- BUTTER: A Representation Learning Framework for Bi-directional Music-Sentence Retrieval and Generation, https://github.com/ldzhangyx/BUTTER
- EXPOTION: Facial Expression and Motion Control for Multimodal Music Generation, https://github.com/xinyueli2896/Expotion
- Human-Centered LLM-Agent User Interface: A Position Paper, https://github.com/Daniel-Chin/Flute-X-GPT
- A Computer-aided Multimodal Music Learning System with Curriculum: A Pilot Study, https://github.com/Daniel-Chin/A-V-H-General-Music-Tutoring-2022/
- Hyper-hybrid Flute: Simulating and Augmenting How Breath Affects Octave and Microtone, https://github.com/Daniel-Chin/HHF
- Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System, https://github.com/Daniel-Chin/Interactive-Rainbow-Score-NIME2020
- Learning Interpretable Low-dimensional Representation via Physical Symmetry, https://github.com/XuanjieLiu/Self-supervised-learning-via-Physical-Symmetry
- Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints, https://github.com/Irislucent/variance-versus-invariance
