South China Normal University
Overall GPA: 4.06.
Speech AI Researcher
I study trustworthy speech language models, interactional privacy, and spoken dialogue intelligence, with experience carrying research into production systems.
Academic training in software engineering and data science.
Overall GPA: 4.06.
Enrollment scheduled for September 2026.
Speech-language-model safety, privacy, and spoken dialogue intelligence.
Introduced a benchmark for evaluating social alignment in speech language models across safety, fairness, and privacy dimensions.
Introduced a multi-user benchmark for measuring interactional privacy risks in speech-language models.
Proposed a graph-informed framework for end-to-end intent recognition in spoken dialogue.
Proposed MSMT-FN for marketing-call attitude classification, achieving stronger results than prior baselines.
Research translated into production speech systems.
Developing production-grade speech algorithms and optimizing low-latency model inference for voice applications.
Developed core algorithms for a voice-cloning application and supported backend model integration for video translation.
The latest published note from my public research and industry notebook.
A public notebook for analysis that does not fit inside a CV: industry structure, company strategy, and reactions to important reporting.
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