Xingjian Du

484 total citations · 1 hit paper
16 papers, 232 citations indexed

About

Xingjian Du is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xingjian Du has authored 16 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xingjian Du's work include Music and Audio Processing (14 papers), Speech and Audio Processing (9 papers) and Speech Recognition and Synthesis (5 papers). Xingjian Du is often cited by papers focused on Music and Audio Processing (14 papers), Speech and Audio Processing (9 papers) and Speech Recognition and Synthesis (5 papers). Xingjian Du collaborates with scholars based in China, United States and Australia. Xingjian Du's co-authors include Zejun Ma, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick, Bilei Zhu, Junbin Gao, Xiaoou Chen, Zejun Ma, Xuan Shi and Zijie Wang and has published in prestigious journals such as Neural Networks, Ghent University Academic Bibliography (Ghent University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Xingjian Du

14 papers receiving 221 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

2022 143 citations Ke Chen, Xingjian Du et al. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) profile →

Peers

Xingjian Du

SP

AI

CVPR

MUSIC

CN

Helin Wang China

Zejun Ma China

Soham Deshmukh United Kingdom

Emiru Tsunoo United States

Ziqiang Shi China

Yasunori Ohishi Japan

Siddharth Sigtia United Kingdom

Arvindh Krishnaswamy United States

Xinhao Mei United Kingdom

Norman Casagrande Canada

Helin Wang China

Xingjian Du

220 ×1.3

SP

158 ×1.6

AI

109 ×1.4

CVPR

11 ×0.6

MUSIC

15 ×1.5

CN

Citations per year, relative to Xingjian Du Xingjian Du (= 1×) peers Helin Wang

Countries citing papers authored by Xingjian Du

Since Specialization

Citations

This map shows the geographic impact of Xingjian Du's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xingjian Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjian Du more than expected).

Fields of papers citing papers by Xingjian Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xingjian Du. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xingjian Du. The network helps show where Xingjian Du may publish in the future.

Co-authorship network of co-authors of Xingjian Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjian Du. A scholar is included among the top collaborators of Xingjian Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingjian Du. Xingjian Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Du, Xingjian, et al.. (2025). NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms. 10207–10215.

2.

Du, Xingjian, et al.. (2024). ByteHum: Fast and Accurate Query-by-Humming in the Wild. 1111–1115.

3.

Du, Xingjian, et al.. (2024). Joint Music and Language Attention Models for Zero-Shot Music Tagging. 1126–1130. 3 indexed citations

4.

Du, Xingjian, et al.. (2023). Graph contrastive learning with implicit augmentations. Neural Networks. 163. 156–164. 21 indexed citations

5.

Du, Xingjian, et al.. (2023). Bytecover3: Accurate Cover Song Identification On Short Queries. 1–5. 3 indexed citations

6.

Chen, Ke, Xingjian Du, Bilei Zhu, et al.. (2022). Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4441–4449. 16 indexed citations

7.

Chen, Ke, et al.. (2022). HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 646–650. 143 indexed citations breakdown →

8.

Du, Xingjian, Ke Chen, Zijie Wang, Bilei Zhu, & Zejun Ma. (2022). Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 616–620. 9 indexed citations

9.

Du, Xingjian, et al.. (2021). Bytecover: Cover Song Identification Via Multi-Loss Training. 551–555. 14 indexed citations

10.

Liang, Xia, et al.. (2021). Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video Streams. Ghent University Academic Bibliography (Ghent University). 321–325. 2 indexed citations

11.

Du, Xingjian, Bilei Zhu, Qiuqiang Kong, & Zejun Ma. (2021). Singing Melody Extraction from Polyphonic Music based on Spectral Correlation Modeling. 241–245. 3 indexed citations

12.

Kong, Qiuqiang, et al.. (2021). Speech Enhancement with Weakly Labelled Data from AudioSet. 191–195. 6 indexed citations

13.

Gao, Yongwei, et al.. (2021). An Hrnet-Blstm Model With Two-Stage Training For Singing Melody Extraction. 56–60. 2 indexed citations

14.

Shi, Xuan, et al.. (2018). End-to-End Residual CNN with L-GM Loss Speaker Verification System. 64. 1–5. 3 indexed citations

15.

Du, Xingjian, et al.. (2018). End To End Model For Keyword Spotting With Trainable Window Function And Densenet. 1–4. 3 indexed citations

16.

Du, Xingjian. (2005). Modeling and Prediction of Time Series Based on Matlab. Jisuanji fangzhen. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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