Rui Wang

博士研究生 at 同济大学

Jiading District, Shanghai, China
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Summary

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Rockstar
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Rui Wang is a PhD student at Tongji University with a decade of experience researching speech and speaker recognition, combining deep learning, neural architecture search, and pretraining for unified speech-text models. His work includes SpeechT5 (ACL 2022) and Lightweight HuBERT variants, achieving substantial compression and cross-task gains across ASR, TTS, VC, SE, SID and SUPERB benchmarks. He has contributed efficient architecture-search methods for speaker and point-cloud tasks (TASLP, AutoML workshop) and designed a Multi-View Self-Attention transformer that improved VoxCeleb performance (ICASSP). Rui blends rigorous academic publication record with hands-on system-level optimization, and spent a research internship at Microsoft Research Asia translating pretraining ideas into multi-task speech pipelines. A mechanical engineering undergrad turned speech-ML researcher, he brings an uncommon mix of hardware-aware efficiency thinking to large-scale pretraining.
code10 years of coding experience
book工学硕士, 测试计量技术与仪器, -, 工学硕士, 测试计量技术与仪器, - at 浙江理工大学
book博士, 计算机科学与技术, 博士, 计算机科学与技术 at 同济大学
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Github Skills (39)

representation-learning10
text-to-speech10
speech-synthesis10
language-processing10
chainer9
speech-processing9
artificial-intelligence9
speaker-diarization9
machine-translation9
pytorch9
python9
apc9
speech-enhancement9
voice-conversion9
self-supervised-learning9

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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mechanicalsea/pytorch-light

Apr 2019 - Aug 2022

Easy-to-run Application based on PyTorch
Contributions:1 PR, 7 pushes, 1 branch in 3 years 4 months
pytorch
Contributions:9 commits, 8 pushes, 1 branch in 1 year 6 months
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