Full Publications 👉      Google Scholar AI Music and Audio Generation SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion Liumeng Xue*, Chaoren Wang*, Mingxuan Wang, Xueyao Zhang, Jun Han, Zhizheng Wu (*: Equal Contribution) Preprint / GitHub / System TL;DR: We develop a visualization system to unbox the diffusion model in the context of singing voice conversion.    Amphion: An Open-Source Audio, Music and Speech Generation Toolkit Xueyao Zhang*, Liumeng Xue*, Yicheng Gu*, Yuancheng Wang*, Haorui He, Chaoren Wang, Xi Chen, Zihao Fang, Haopeng Chen, Junan Zhang, Tze Ying Tang, Lexiao Zou, Mingxuan Wang, Jun Han, Kai Chen, Haizhou Li, Zhizheng Wu (*: Equal Contribution) Technical Report / GitHub / HuggingFace / OpenXLab TL;DR: We develop a unified audio generation open-source toolkit. ICASSP 2024   Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder Yicheng Gu, Xueyao Zhang, Liumeng Xue, Zhizheng Wu IEEE International Conference on Acoustics,Speech and Signal Processing Preprint / Code / Demo TL;DR: We propose a CQT-based discriminator to enhance GAN-based vocoders. ML4Audio @ NeurIPS 2023   Leveraging Content-based Features from Multiple Acoustic Models for Singing Voice Conversion Xueyao Zhang, Yicheng Gu, Haopeng Chen, Zihao Fang, Lexiao Zou, Liumeng Xue, Zhizheng Wu Machine Learning for Audio Workshop (ML4Audio) at NeurIPS 2023 Preprint / Code / Demo / Pretrained Model / HuggingFace Space / OpenXLab App TL;DR: We propose to utilize multiple content features for singing voice conversion. MM 2022   Structure-Enhanced Pop Music Generation via Harmony-Aware Learning Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou Proceedings of the 30th ACM International Conference on Multimedia (Acceptance Rate: 690/2473=27.9%) PDF / Preprint / Code / Slides / Demo TL;DR: We propose to learn harmony for generating form- and texture- enhanced pop music. Fake News Detection ACL 2022   Zoom Out and Observe: News Environment Perception for Fake News Detection Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, and Yongchun Zhu Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics PDF / Poster / Code / Chinese Video / Chinese Blog TL;DR: For the first time, we propose to perceive signals from the news environment for fake news detection. CIKM 2021   Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning Qiang Sheng*, Xueyao Zhang*, Juan Cao, and Lei Zhong (*: Equal Contribution) Proceedings of the 30th ACM International Conference on Information and Knowledge Management (Acceptance Rate: 271/1251=21.7%) PDF / Poster / Code / Chinese Blog TL;DR: We propose a graph-based model preference learning framework to separately handle the pattern and fact indicators in fake news detection. ACL 2021   Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Claims Qiang Sheng, Juan Cao, Xueyao Zhang, Xirong Li, and Lei Zhong Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Acceptance Rate: 571/2327=24.5%) PDF / Poster / Code / Chinese Blog TL;DR: We detect previously fact-checked claims by matching them against the key sentences in fact-checking articles. WWW 2021   Mining Dual Emotion for Fake News Detection Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu Proceedings of the 30th Web Conference (Acceptance Rate: 357/1736=20.6%) PDF / Code / Slides / Video / Chinese Video TL;DR: We leverage both publisher emotion and social emotion for fake news detection.