CV
Wei Zeng's CV (Updated 2026 October)
Basics
| Name | Wei Zeng |
| Label | Ph.D. Candidate, Sound and Music Computing |
| w.zeng@u.nus.edu | |
| Phone | +65 9379-9504 |
| Url | https://wei-zeng98.github.io/ |
| Summary | Ph.D. candidate at NUS SMC Lab focusing on automatic music transcription, expressive performance rendering, and singing voice synthesis. |
Education
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2023.08 - 2027.08 Ph.D.
National University of Singapore
Computer Science
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2021.08 - 2023.06 M.Eng.
National University of Singapore
Mechanical Engineering
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2016.09 - 2020.06 B.Eng. / B.A.
Shanghai Jiao Tong University
Energy & Power Engineering (Major); Musicology (Minor)
Publications
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2026.10 DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription
arXiv preprint
Wei Zeng, Ye WangNote-frame dual-encoder Transformer jointly learns PM2S transcription and beat/downbeat tracking via bidirectional cross-attention; TimeRoPE and TPRoPE encode relative time and pitch, reducing MUSTER error from 6.56% to 3.64% on the curated Gangqinpu dataset.
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2026 Bridging Piano Transcription and Rendering via Disentangled Score Content and Style
ICLR 2026
Wei Zeng, Junchuan Zhao, Ye WangUnified transformer Seq2Seq jointly models APT and EPR by disentangling score content and performance style; diffusion-based style recommender enables alignment-free training and style transfer.
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2026 CoMelSinger: Discrete Token-Based Zero-Shot Singing Synthesis With Structured Melody Control and Guidance
IEEE TASLP
Junchuan Zhao, Wei Zeng, Tianle Lyu, Ye WangMaskGCT-based zero-shot singing synthesis with disentangled melody control; coarse-to-fine contrastive learning limits prosody leakage and an encoder-only SVT module supplies frame-level pitch supervision.
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2025 Peransformer: Improving Low-informed Expressive Performance Rendering with Score-aware Discriminator
APSIPA ASC 2025
Xian He, Wei Zeng, Ye WangScore-aware discriminator and transformer framework enhance expressive performance rendering when score information is sparse.
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2024 Automatic Lyric Transcription and Automatic Music Transcription from Multimodal Singing
ACM TOMM
Xiangming Gu, Longshen Ou, Wei Zeng, Jianan Zhang, Nicholas Wong, Ye WangMultimodal ALT/AMT with audio and lip video using residual cross-attention; first N20EM dataset and SSL encoders yield noise-robust lyric and note transcription.
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2024 End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
IJCAI 2024
Wei Zeng, Xian He, Ye WangHierarchical decoder predicts bar-level key/time and note content; two-stage training with EPR pretraining then human-performance finetuning bridges synthetic–real gap.
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2023 Elucidate Gender Fairness in Singing Voice Transcription
MM 2023
Xiangming Gu, Wei Zeng, Ye WangReveals gender bias in singing voice transcription from pitch distributions; adversarial attribute predictor with note-conditioned alignment cuts bias >50% with minimal accuracy loss.
Research
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2026.07 - 2026.10 SMC Lab, NUS
Dual-Encoder Piano Performance-to-Score Transcription
Proposed DuET, a note-frame dual-encoder Transformer jointly learning note-level PM2S transcription and frame-level beat/downbeat tracking; introduced TimeRoPE and TPRoPE; curated the 18.8K-pair Gangqinpu popular piano dataset and released an audio-to-score demo.
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2024.09 - 2025.05 SMC Lab, NUS
Joint Piano Transcription and Performance Rendering
Unified transformer Seq2Seq for APT+EPR; alignment-free formulation and diffusion style recommendation.
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2023.08 - 2024.02 SMC Lab, NUS
Hierarchical Audio-to-Score Transcription for Piano
End-to-end Seq2Seq with hierarchical decoder and two-stage training using EPR pretraining then real-perf finetuning.
Internships
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2026.07 - Present Singapore
Tencent Singapore
Speech Synthesis Intern (Mentor: Dr. Chenglin Xu)
Integrating singing voice synthesis into a spoken dialogue system, enabling it to sing on request within natural conversational interactions.
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2026.03 - 2026.06 Singapore
ByteDance Singapore (TikTok E-commerce)
Algorithm Engineer Intern, Supply Chain and Logistics (Mentor: Dr. Chengxin Wang)
Developed ML/OR models for GMV and inventory forecasting and built ETA/logistics-event prediction and NLP-based address-processing pipelines to support demand planning and fulfillment for TikTok Shop Europe.
Skills
| Programming | |
| Python | |
| MATLAB | |
| C++ |
Languages
| Mandarin | |
| Native |
| English | |
| TOEFL 102 |
Miscellaneous
| Service | |
| Student Area Search Committee (SoC, AY2025) | |
| Reviewer: TASLP, ICLR, etc. | |
| Appointment letter | |
| WOS reviewer profile |
| Teaching | |
| IT5005 Artificial Intelligence (2024-2026) | |
| CS5647 Sound and Music Computing (Sem 1 AY2025/26) |
Awards
- 2025.12.11
- 2025.01.09
Teaching Fellowship of SoC
- 2024.08.05
- 2023.08.07
President's Graduate Fellowship
- 2020.06.01
Academic Excellence Scholarship of SJTU