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Dr. Aoyu Wang is a Postdoctoral Researcher at ETH Zurich, specializing in Natural Language Processing (NLP), Trustworthy AI, and Machine Learning. His research primarily focuses on enhancing the robustness, reliability, interpretability, and safety of large language models (LLMs) and other AI systems. He aims to develop AI that is not only powerful but also aligned with human values and societal needs. Dr. Wang completed his Ph.D. at the Georgia Institute of Technology, where his doctoral research contributed significantly to understanding and improving NLP models. He has a strong publication record in leading AI and ML conferences.
Aoyu Wang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Conducting cutting-edge research in NLP and Trustworthy AI at one of the world's leading universities for technology and natural sciences.
Successfully earned a doctorate from a top-tier institution, focusing on advancing the capabilities and understanding of natural language processing models.
Published multiple papers in prestigious AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) on topics related to model robustness, adversarial attacks, interpretability, and certified defenses in NLP.
Actively investigates methods to ensure Large Language Models are more reliable, safe, and less prone to generating harmful or biased content, contributing to the responsible development of AI.
Zhejiang University - Year 2002
Zhejiang University - Year 1998
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HarmonyCloud (谐云科技) is a leading Chinese enterprise-grade cloud computing service provider, focusing on container technology, Kubernetes, and PaaS solutions. They offer a comprehensive suite of products and services to help enterprises accelerate their digital transformation through cloud-native architectures. Their offerings aim to simplify application development, deployment, and operations, enabling DevOps practices and improving IT efficiency for businesses across various industries including finance, manufacturing, and energy.
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