章晨

硕士生/Postgraduate Student-2020

主要研究方向:人工智能音乐、语音、多模态表征学习

主要成果:

第三届中国新闻史学会数据挖掘大赛国家三等奖

“挑战杯”学术作品竞赛 省二等奖

个人荣誉:

国家奖学金(本科+研究生)

学术之星

浙江省优秀毕业生

何志均奖学金

陈天洲奖学金

微软明日之星

学术成果:

2022        Zhang, C., Chang, L., Wu, S., Tan, X., Qin, T., Liu, T. Y., & Zhang, K. (2022, October). ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 1047-1056). ACM MM 2022 oral

Zhao Y*, Zhang C*, Huang H, et al. Towards Effective Multi-Modal Interchanges in Zero- Resource Sounding Object Localization[C/OL]//OH A H, AGARWAL A, BELGRAVE D, et al. Advances in Neural Information Processing Systems. 2022. https://openreview.net/forum?id=rQAJm rLmGC6. 20. NeurIPS 2022

Guo, F., Zhang, C., Zhang, Z., He, Q., Zhang, K., Xie, J., & Boyd-Graber, J. (2022, May). Automatic Song Translation for Tonal Languages. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. 729-743). ACL 2022

Zhao, H*., Zhang, C*., Zhu, B., Ma, Z., & Zhang, K. (2022, May). S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 606-610). IEEE. ICASSP 2022

Zhang, C., Yu, J., Chang, L., Tan, X., Chen, J., Qin, T., & Zhang, K. (2021). PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. arXiv preprint arXiv:2109.07940. EMNLP 2022

Wang, Z., Zhang, K., Wang, Y., Zhang, C., Liang, Q., Yu, P., ... & Yang, Y. (2022, October). SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 1057-1067). ACM MM 2022 oral

Ju, Z., Lu, P., Tan, X., Wang, R., Zhang, C., Wu, S., ... & Liu, T. Y. (2021). TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. arXiv preprint arXiv:2109.09617. EMNLP 2022

2021        Zhang, C., Ren, Y., Tan, X., Liu, J., Zhang, K., Qin, T., ... & Liu, T. Y. (2021, June). Denoispeech: Denoising text to speech with frame-level noise modeling. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7063-7067). IEEE. ICASSP 2021

Zhang, C., Tan, X., Ren, Y., Qin, T., Zhang, K., & Liu, T. Y. (2021, May). Uwspeech: Speech to speech translation for unwritten languages. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 16, pp. 14319-14327). AAAI 2021

2020        Ren, Y.*, Liu, J.*, Tan, X., Zhang, C.*, Qin, T., Zhao, Z., & Liu, T. Y. (2020, July). SimulSpeech: End-to-end simultaneous speech to text translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 3787-3796). ACL 2020

Liu, J., Ren, Y., Zhao, Z., Zhang, C., Huai, B., & Yuan, J. (2020, October). Fastlr: Non-autoregressive lipreading model with integrate-and-fire. In Proceedings of the 28th ACM International Conference on Multimedia (pp. 4328-4336). ACM MM 2020

Liu, J., Ren, Y., Tan, X., Zhang, C., Qin, T., Zhao, Z., & Liu, T. Y. (2021, January). Task-level curriculum learning for non-autoregressive neural machine translation. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (pp. 3861-3867). IJCAI 2020

2019        Wang, H., Liu, W., Zhao, Y., Zhang, C., Hu, T., & Chen, G. (2019, August). Discriminative and correlative partial multi-label learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 3691-3697).Ren, Y.*, Liu, J.*, Tan, X., Zhang, C.*, Qin, T., Zhao, Z., & Liu, T. Y. (2020, July). IJCAI 2019

个人爱好:旅行,美食,摄影

个人特长:轮滑,滑板