Xiaochen Hou

Title: Innovations of Inventor Xiaochen Hou

Introduction

Xiaochen Hou is a notable inventor based in Mountain View, California. He has made significant contributions to the field of sentiment analysis through his innovative patent. His work focuses on enhancing the understanding of sentiment classification, which is crucial in various applications, including natural language processing.

Latest Patents

Xiaochen Hou holds a patent titled "Method and system for aspect-level sentiment classification by graph diffusion transformer." This patent describes a system and method for aspect-level sentiment classification. The system includes a computing device equipped with a processor and a storage device that stores computer-executable code. The code is designed to perform several functions, including receiving a sentence with a labeled aspect term and context, converting the sentence into a dependency tree graph, and calculating an attention matrix based on one-hop attention between nodes. The process further involves calculating multi-head attention diffusion, obtaining updated embeddings, classifying the aspect term, and adjusting model parameters based on a loss function.

Career Highlights

Throughout his career, Xiaochen Hou has worked with prominent companies, including Jingdong Digits Technology Holding Co., Ltd. and JD Finance America Corporation. His experience in these organizations has contributed to his expertise in the field of technology and innovation.

Collaborations

Xiaochen has collaborated with talented individuals such as Jing Huang and Guangtao Wang. These collaborations have likely enriched his work and contributed to the development of his innovative ideas.

Conclusion

Xiaochen Hou is an accomplished inventor whose work in sentiment classification demonstrates his innovative spirit and technical expertise. His contributions are valuable to the advancement of technology in understanding human sentiment through language.