Ye Wang

About Ye Wang

Ye Wang, With an exceptional h-index of 35 and a recent h-index of 20 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Sound and Music Computing, Sensor Computing, eHealth.

His recent articles reflect a diverse array of research interests and contributions to the field:

Elucidate Gender Fairness in Singing Voice Transcription

Towards informative few-shot prompt with maximum information gain for in-context learning

Disentangled Adversarial Domain Adaptation for Phonation Mode Detection in Singing and Speech

FedNP: Towards non-IID federated learning via federated neural propagation

Phonation mode detection in singing: A Singer adapted model

Q&A: query-based representation learning for multi-track symbolic music re-arrangement

Zero-shot automatic pronunciation assessment

Songs across borders: Singable and controllable neural lyric translation

Ye Wang Information

University

Position

School of Computing

Citations(all)

4385

Citations(since 2020)

1709

Cited By

3374

hIndex(all)

35

hIndex(since 2020)

20

i10Index(all)

92

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Ye Wang Skills & Research Interests

Sound and Music Computing

Sensor Computing

eHealth

Top articles of Ye Wang

Elucidate Gender Fairness in Singing Voice Transcription

2023/10/26

Towards informative few-shot prompt with maximum information gain for in-context learning

arXiv preprint arXiv:2310.08923

2023/10/13

Disentangled Adversarial Domain Adaptation for Phonation Mode Detection in Singing and Speech

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2023/9/25

FedNP: Towards non-IID federated learning via federated neural propagation

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Phonation mode detection in singing: A Singer adapted model

2023/6/4

Q&A: query-based representation learning for multi-track symbolic music re-arrangement

arXiv preprint arXiv:2306.01635

2023/6/2

Zero-shot automatic pronunciation assessment

arXiv preprint arXiv:2305.19563

2023/5/31

Songs across borders: Singable and controllable neural lyric translation

arXiv preprint arXiv:2305.16816

2023/5/26

Extrapolative continuous-time bayesian neural network for fast training-free test-time adaptation

Advances in Neural Information Processing Systems

2022/12/6

Robust Melody Track Identification in Symbolic Music.

2022/12/4

Mm-alt: A multimodal automatic lyric transcription system

2022/10/10

Content based User Preference Modeling in Music Generation

2022/10/10

Beat transformer: Demixed beat and downbeat tracking with dilated self-attention

arXiv preprint arXiv:2209.07140

2022/9/15

Domain adversarial training on conditional variational auto-encoder for controllable music generation

arXiv preprint arXiv:2209.07144

2022/9/15

Lyrics-to-audio alignment using singing-adapted acoustic models and non-vocal suppression

Music Inf. Retrieval Eval. eXchange Audio-Lyrics Alignment Challenge

2022/7/19

Exploring transformer’s potential on automatic piano transcription

2022/5/23

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization

arXiv preprint arXiv:2205.02670

2022/5/5

Personalised popular music generation using imitation and structure

Journal of New Music Research

2022/1/1

Ai-lyricist: Generating music and vocabulary constrained lyrics

2021/10/17

See List of Professors in Ye Wang University(National University of Singapore)

Co-Authors

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