Long Huang

Title: Long Huang - Innovator in Cross-Modal Signal Inference

Introduction

Long Huang is a notable inventor based in Baton Rouge, Louisiana. He has made significant contributions to the field of signal processing, particularly through his innovative patent. His work focuses on systems and methods for cross-modal signal inference using audio signals, showcasing his expertise in transforming and analyzing data across different modalities.

Latest Patents

Long Huang holds a patent for "Systems and methods for cross-modal signal inference using audio signals." This patent describes a method for converting a primary one-dimensional signal into a secondary one-dimensional signal of another modality. The process involves splicing the primary signal into consecutive frames, transforming these frames into vectors, and applying positional encodings to encode relative positional information. A multi-head self-attention machine-learning model is utilized to compare the importance of samples within each vector, ultimately yielding high-level representation vectors. These vectors are then transformed into secondary signal frames, which are concatenated to reconstruct a one-dimensional secondary signal with a different modality.

Career Highlights

Long Huang is currently employed at Robert Bosch GmbH, where he applies his innovative ideas and technical skills to advance the company's projects. His work at Bosch reflects his commitment to pushing the boundaries of technology and enhancing the capabilities of signal processing systems.

Collaborations

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Conclusion

Long Huang's contributions to cross-modal signal inference highlight his innovative spirit and technical expertise. His patent demonstrates the potential for advancements in signal processing, paving the way for future developments in the field.