This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Beihang University, Xicheng District Bureau of Science and Technology and Information Technology of Beijing Municipality. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2024
Title: The Innovations of Pan Deng
Introduction
Pan Deng is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of urban data prediction through his innovative methods. His work focuses on enhancing the understanding and prediction of urban complex systems.
Latest Patents
Pan Deng holds a patent for an "Urban data prediction method based on a generative causal interpretation model." This invention provides a novel approach to predicting spatio-temporal data at the city level. The generative causal interpretation model incorporates exogenous variables, spatio-temporal conditional parent variables, controlled causal transition functions, and spatio-temporal mixing functions. By analyzing observation data, the model can infer causal descriptors and other latent variables, improving the robustness and applicability of urban data predictions.
Career Highlights
Throughout his career, Pan Deng has worked with notable institutions, including Beihang University and the Xicheng District Bureau of Science and Technology and Information Technology of Beijing Municipality. His experience in these organizations has allowed him to develop and refine his innovative methods in urban data prediction.
Collaborations
Pan Deng has collaborated with esteemed colleagues, including Junting Liu and Yu Zhao. Their joint efforts have contributed to advancing research in urban data prediction and related fields.
Conclusion
Pan Deng's innovative work in urban data prediction exemplifies the potential of generative causal interpretation models in understanding complex urban systems. His contributions are paving the way for more accurate predictions and improved urban planning strategies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile