| RWKV: Reinventing RNNs for the Transformer Era P Bo, A Eric, A Quentin, A Alon, A Samuel, B Stella, C Huanqi, C Xin, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 14048 …, 2023 | 285* | 2023 |
| Hts-at: A hierarchical token-semantic audio transformer for sound classification and detection SD Chen Ke, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick ICASSP 2022, 646-650, 2022 | 254* | 2022 |
| Zero-shot audio source separation through query-based learning from weakly-labeled data K Chen, X Du, B Zhu, Z Ma, T Berg-Kirkpatrick, S Dubnov Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4441-4449, 2022 | 31 | 2022 |
| Bytecover: Cover song identification via multi-loss training X Du, Z Yu, B Zhu, X Chen, Z Ma ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 26 | 2021 |
| Bytecover2: Towards dimensionality reduction of latent embedding for efficient cover song identification X Du, K Chen, Z Wang, B Zhu, Z Ma ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 22 | 2022 |
| Aag-stega: Automatic audio generation-based steganography Z Yang, X Du, Y Tan, Y Huang, YJ Zhang arXiv preprint arXiv:1809.03463, 2018 | 21 | 2018 |
| Graph contrastive learning with implicit augmentations H Liang, X Du, B Zhu, Z Ma, K Chen, J Gao Neural Networks 163, 156-164, 2023 | 20 | 2023 |
| Eagle and finch: Rwkv with matrix-valued states and dynamic recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... arXiv preprint arXiv:2404.05892, 2024 | 17 | 2024 |
| Speech enhancement with weakly labelled data from audioset Q Kong, H Liu, X Du, L Chen, R Xia, Y Wang arXiv preprint arXiv:2102.09971, 2021 | 16 | 2021 |
| Universal source separation with weakly labelled data Q Kong, K Chen, H Liu, X Du, T Berg-Kirkpatrick, S Dubnov, MD Plumbley arXiv preprint arXiv:2305.07447, 2023 | 13 | 2023 |
| CatNet: Music source separation system with mix-audio augmentation X Song, Q Kong, X Du, Y Wang arXiv preprint arXiv:2102.09966, 2021 | 11 | 2021 |
| Repgn: Object detection with relational proposal graph network X Du, X Shi, R Huang arXiv preprint arXiv:1904.08959, 2019 | 10 | 2019 |
| Contrastive unsupervised learning for audio fingerprinting Z Yu, X Du, B Zhu, Z Ma arXiv preprint arXiv:2010.13540, 2020 | 9 | 2020 |
| End-to-end model for speech enhancement by consistent spectrogram masking X Du, M Zhu, X Shi, X Zhang, W Zhang, J Chen arXiv preprint arXiv:1901.00295, 2019 | 7 | 2019 |
| Joint Music and Language Attention Models for Zero-Shot Music Tagging X Du, Z Yu, J Lin, B Zhu, Q Kong ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
| Singing melody extraction from polyphonic music based on spectral correlation modeling X Du, B Zhu, Q Kong, Z Ma ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
| End-to-end residual CNN with L-GM loss speaker verification system X Shi, X Du, M Zhu 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 4 | 2018 |
| Foundation models for music: A survey Y Ma, A Øland, A Ragni, BMS Del Sette, C Saitis, C Donahue, C Lin, ... arXiv preprint arXiv:2408.14340, 2024 | 3 | 2024 |
| Bytecover3: Accurate cover song identification on short queries X Du, Z Wang, X Liang, H Liang, B Zhu, Z Ma ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Attention-based cross-modal fusion for audio-visual voice activity detection in musical video streams Y Hou, Z Yu, X Liang, X Du, B Zhu, Z Ma, D Botteldooren arXiv preprint arXiv:2106.11411, 2021 | 3 | 2021 |
Ke ChenAdobe Research | University of California San DiegoVerified email at ucsd.edu
