Xiaowei Jia

Title: Innovations of Inventor Xiaowei Jia

Introduction

Xiaowei Jia is a notable inventor based in Minneapolis, MN, who has made significant contributions to the fields of electronic media retrieval and event sequence analysis. With a total of four patents to his name, Jia's work showcases his expertise in developing advanced methodologies that leverage deep learning and graph convolutional networks.

Latest Patents

One of Xiaowei Jia's latest patents is focused on electronic media retrieval. This patent describes a retrieval method that involves generating a graph representing a set of users, items, and queries. The process includes creating clusters from media items, generating embeddings for each cluster, and inputting these embeddings into a graph convolutional network (GCN) to determine user embeddings. The method ultimately generates scores for items based on user-specific query embeddings, presenting items that exceed a certain threshold.

Another significant patent by Jia involves adversarial training for event sequence analysis. This technique generates adversarial training data through sequence perturbation for deep learning networks. The methodology applies a long short-term memory attention model to input data sequences, generating discriminative sequence periods and attention weights. The generated perturbed data sequences maintain perceptual similarity to the original input, enhancing the model's performance in analyzing event sequences.

Career Highlights

Xiaowei Jia has worked with prominent organizations such as the University of Minnesota and Adobe, Inc. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research and development in his field.

Collaborations

Throughout his career, Jia has collaborated with esteemed colleagues, including Vipin Kumar and Ankush Khandelwal. These partnerships have fostered innovation and have been instrumental in advancing their shared research goals.

Conclusion

Xiaowei Jia's contributions to electronic media retrieval and event sequence analysis highlight his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving methodologies in his field.