End To End Model For Keyword Spotting With Trainable Window Function And Densenet. - Xingjian Du; Mengyao Zhu; Mingyang Chai; Xuan Shi (DSP, 2018)

End-to-End Residual CNN with L-GM Loss Speaker Verification System. - Xuan Shi; Xingjian Du; Mengyao Zhu (DSP, 2018)

AAG-Stega: Automatic Audio Generation-based Steganography. - Zhongliang Yang; Xingjian Du; Yilin Tan; Yongfeng Huang 001; Yu-Jin Zhang (CoRR, 2018)

End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking. - Xingjian Du; Mengyao Zhu; Xuan Shi; Xinpeng Zhang; Wen Zhang; Jingdong Chen (CoRR, 2019)

RepGN: Object Detection with Relational Proposal Graph Network. - Xingjian Du; Xuan Shi; Risheng Huang (CoRR, 2019)

Contrastive Unsupervised Learning for Audio Fingerprinting. - Zhesong Yu; Xingjian Du; Bilei Zhu; Zejun Ma (CoRR, 2020)

Bytecover: Cover Song Identification Via Multi-Loss Training. - Xingjian Du; Zhesong Yu; Bilei Zhu; Xiaoou Chen; Zejun Ma (ICASSP, 2021)

Singing Melody Extraction from Polyphonic Music based on Spectral Correlation Modeling. - Xingjian Du; Bilei Zhu; Qiuqiang Kong; Zejun Ma (ICASSP, 2021)

An Hrnet-Blstm Model With Two-Stage Training For Singing Melody Extraction. - Yongwei Gao; Xingjian Du; Bilei Zhu; Xiaoheng Sun; Wei Li 012; Zejun Ma (ICASSP, 2021)

Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video Streams. - Yuanbo Hou; Zhesong Yu; Xia Liang; Xingjian Du; Bilei Zhu; Zejun Ma; Dick Botteldooren (Interspeech, 2021)

Speech Enhancement with Weakly Labelled Data from AudioSet. - Qiuqiang Kong; Haohe Liu; Xingjian Du; Li Chen; Rui Xia; Yuxuan Wang 002 (Interspeech, 2021)

CatNet: music source separation system with mix-audio augmentation. - Xuchen Song; Qiuqiang Kong; Xingjian Du; Yuxuan Wang 002 (CoRR, 2021)

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. - Ke Chen 021; Xingjian Du; Bilei Zhu; Zejun Ma; Taylor Berg-Kirkpatrick; Shlomo Dubnov (AAAI, 2022)

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. - Ke Chen 021; Xingjian Du; Bilei Zhu; Zejun Ma; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2022)

Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification. - Xingjian Du; Ke Chen 021; Zijie Wang; Bilei Zhu; Zejun Ma (ICASSP, 2022)

Latent feature augmentation for chorus detection. - Xingjian Du; Huidong Liang; Yuan Wan; Yuheng Lin; Ke Chen 021; Bilei Zhu; Zejun Ma (ISMIR, 2022)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Stella Biderman; Huanqi Cao; Xin Cheng; Michael Chung; Leon Derczynski; Xingjian Du; Matteo Grella; et al. (EMNLP (Findings), 2023)

Bytecover3: Accurate Cover Song Identification On Short Queries. - Xingjian Du; Zijie Wang; Xia Liang; Huidong Liang; Bilei Zhu; Zejun Ma (ICASSP, 2023)

Universal Source Separation with Weakly Labelled Data. - Qiuqiang Kong; Ke Chen 021; Haohe Liu; Xingjian Du; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Mark D. Plumbley (CoRR, 2023)

Graph contrastive learning with implicit augmentations. - Huidong Liang; Xingjian Du; Bilei Zhu; Zejun Ma; Ke Chen 021; Junbin Gao (Neural Networks, 2023)

Joint Music and Language Attention Models for Zero-Shot Music Tagging. - Xingjian Du; Zhesong Yu; Jiaju Lin; Bilei Zhu; Qiuqiang Kong (ICASSP, 2024)

ByteHum: Fast and Accurate Query-by-Humming in the Wild. - Xingjian Du; Pei Zou; Mingyu Liu; Xia Liang; Minghang Chu; Bilei Zhu (ICASSP, 2024)

SymPAC: Scalable Symbolic Music Generation With Prompts and Constraints. - Haonan Chen; Jordan B. L. Smith; Janne Spijkervet; Ju-Chiang Wang; Pei Zou; Bochen Li; Qiuqiang Kong; Xingjian Du (ISMIR, 2024)

X-Cover: Better Music Version Identification System by Integrating Pretrained ASR Model. - Xingjian Du; Mingyu Liu; Pei Zou; Xia Liang; Zijie Wang; Huidong Liang; Bilei Zhu (ISMIR, 2024)

ByteComposer: a Human-like Melody Composition Method based on Language Model Agent. - Xia Liang; Xingjian Du; Jiaju Lin; Pei Zou; Yuan Wan; Bilei Zhu (CoRR, 2024)

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. - Bo Peng; Daniel Goldstein; Quentin Anthony; Alon Albalak; Eric Alcaide; Stella Biderman; Eugene Cheah; Xingjian Du; Teddy Ferdinan; Haowen Hou; Przemyslaw Kazienko; Kranthi Kiran GV; et al. (CoRR, 2024)

Foundation Models for Music: A Survey. - Yinghao Ma; Anders Øland; Anton Ragni; Bleiz Macsen Del Sette; Charalampos Saitis; Chris Donahue; Chenghua Lin; Christos Plachouras; Emmanouil Benetos; Elio Quinton; Elona Shatri; Fabio Morreale; et al. (CoRR, 2024)

Exploring Tokenization Methods for Multitrack Sheet Music Generation. - Yashan Wang; Shangda Wu; Xingjian Du; Maosong Sun 001 (CoRR, 2024)

Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis. - Zhen Ye; Xinfa Zhu; Chi-Min Chan; Xinsheng Wang; Xu Tan 003; Jiahe Lei; Yi Peng; Haohe Liu; Yizhu Jin; Zheqi Dai; Hongzhan Lin 001; Jianyi Chen; et al. (CoRR, 2025)

NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms. - Yashan Wang; Shangda Wu; Jianhuai Hu; Xingjian Du; Yueqi Peng; Yongxin Huang; Shuai Fan 013; Xiaobing Li; Feng Yu; Maosong Sun 001 (CoRR, 2025)

YuE: Scaling Open Foundation Models for Long-Form Music Generation. - Ruibin Yuan; Hanfeng Lin; Shuyue Guo; Ge Zhang 009; Jiahao Pan; Yongyi Zang; Haohe Liu; Yiming Liang; Wenye Ma; Xingjian Du; Xinrun Du; Zhen Ye; et al. (CoRR, 2025)

RWKV-7 "Goose" with Expressive Dynamic State Evolution. - Bo Peng; Ruichong Zhang; Daniel Goldstein; Eric Alcaide; Xingjian Du; Haowen Hou; Jiaju Lin; Jiaxing Liu; Janna Lu; William Merrill; Guangyu Song; Kaifeng Tan; et al. (CoRR, 2025)

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models. - Kai Li; Can Shen; Yile Liu; Jirui Han; Kelong Zheng; Xuechao Zou; Zhe Wang 019; Xingjian Du; Shun Zhang; Hanjun Luo; Yingbin Jin; Xinxin Xing; et al. (CoRR, 2025)