Wei Yang

Assistant Professor

University of Texas at Dallas

United States

Research Interests

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About

Wei Yang is an Assistant Professor at the University of Texas at Dallas. His research areas include foundation model engineering, automated bug detection in GPU programs, and enhancing linguistic capabilities of NLP models. Recent publications include investigations on code generation applications and frameworks for collaborative development in AI. He is dedicated to advancing software engineering and testing methodologies.

Articles (8)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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Wei Yang

Research Interests

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About

Articles (8)

Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software

An Investigation on Numerical Bugs in GPU Programs Towards Automated Bug Detection

Medusa: A Framework for Collaborative Development of Foundation Models with Automated Parameter Ownership Assignment

Judge: Effective State Abstraction for Guiding Automated Web GUI Testing

LLMEffiChecker : Understanding and Testing Efficiency Degradation of Large Language Models

DeciX: Explain Deep Learning Based Code Generation Applications

PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models

Automated Testing Linguistic Capabilities of NLP Models

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