Zhong-qiu Wang is an associate professor and researcher specializing in speech and audio processing with six years of post-PhD experience spanning academia and industry. He completed a PhD at The Ohio State University and progressed through research roles at Mitsubishi Electric Research Labs, Google AI, and CMU's Language Technologies Institute before joining Southern University of Science and Technology. His work covers microphone array processing, speech enhancement/separation, robust ASR, and audio classification, blending deep learning research with practical system improvements. Zhong-qiu contributes to prominent open-source projects like espnet, focusing on code quality and maintainability for end-to-end speech toolkits. He has a track record of industrial collaborations and internships that translate cutting-edge research into deployable audio solutions. Based in Shenzhen, he combines rigorous academic training with hands-on engineering, often emphasizing reproducibility and clean code in speech research.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Harbin Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The Ohio State University
Contributions:6 reviews, 2 PRs, 8 comments in 1 year 10 months
Contributions summary:Zhong-qiu primarily contributed to code formatting and style improvements within the `espnet` repository, a speech processing toolkit. They fixed isort and ran black to improve code quality, and also made minor changes to code. Moreover, the user collaborated on updates related to the `tfgridnet_separator.py` file. These changes indicate a focus on code maintainability and potential improvements in the speech processing domain.
Contributions:127 pushes, 1 branch in 4 years 11 months
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