Summary
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.
10 years of coding experience
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
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