Somerville, MA, United States of America

Shang-Wen Daniel Li

Average Co-Inventor Count = 7.5

ph-index = 1

Forward Citations = 1(Granted Patents)

Forward Citations (Not Self Cited) = 1(Sep 21, 2024)


Years Active: 2022-2024

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovator Shang-Wen Daniel Li: Pioneering Advances in Machine Learning

Introduction: Shang-Wen Daniel Li, based in Somerville, MA, is an accomplished inventor with a focus on machine learning and natural language understanding. With two notable patents to his name, he is making significant contributions to the fields of artificial intelligence and user interaction technologies.

Latest Patents: Shang-Wen's latest patents include innovative techniques that aim to enhance user interactions with machine learning systems. One patent, titled "Adaptations of task-oriented agents using user interactions," describes methods for updating machine learning models based on user interactions with chatbots. The process involves collecting user data, filtering this data to create a training set, and fine-tuning the model to improve its performance. His second patent, "Confidence calibration for natural-language understanding models that provides optimal interpretability," focuses on tuning parameters in natural-language understanding models to enhance interpretability of confidence scores. This technique ensures that the model's outputs are more user-friendly and actionable.

Career Highlights: Shang-Wen Daniel Li is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge machine learning technologies. His work not only reflects his dedication to innovation but also highlights the growing importance of machine learning in everyday applications.

Collaborations: Throughout his career, Shang-Wen has collaborated with talented individuals including Meghana Puvvadi and Roger Scott Jenke. These collaborations help foster a creative environment and enhance the development of innovative solutions in his field.

Conclusion: Shang-Wen Daniel Li stands as a testament to the impact of innovation in the technology sector. His patents and ongoing work at Amazon demonstrate a commitment to improving how users interact with machine learning systems. As he continues to push the boundaries of what's possible, the future looks promising for advancements in natural language understanding and user-oriented technologies.

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