Papers

1. He Q, Song X, Hao W, et al. Music Era Recognition Using Supervised Contrastive Learning and Artist Information[J]. arXiv preprint arXiv:2407.05368, 2024.
2. Liu X, Qian J, He Q, et al. LC-Beating: An Online System for Beat and Downbeat Tracking using Latency-Controlled Mechanism[C]//2023 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2023: 1098-1103.
3. Sun X, Liang X, He Q, et al. Gio: A timbre-informed approach for pitch tracking in highly noisy environments[C]//Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR). 2022: 480-488.
4. He Q, Sun X, Yu Y, et al. Deepchorus: A hybrid model of multi-scale convolution and self-attention for chorus detection[C]//2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 411-415.
5. Sun X, He Q, Gao Y, et al. Musical Tempo Estimation Using A Multi-Scale Network[J]. Society for Music Information Retrieval, Online, 2021. (ISMIR) 1: 4.

Patents (CN)

1. [CN116312633A] Method, system, equipment and storage medium for detecting chorus structure
2. [CN118072698A] Chord sequence generation method, device, terminal and storage medium
3. [CN118042234A] Predicting method and device for trending songs, storage medium and computing equipment
4. [CN119132264A] Music data processing method, device, storage medium and electronic equipment