This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Rensselaer Polytechnic Institute, International Business Machines Corporation. Active years: 2026.
Company Filing History:
2 out of 644 
1 out of 166,209 
Years Active: 2026
Title: Hanqing Chao: Innovator in Machine Learning and Spectral Data Augmentation
Introduction
Hanqing Chao is a prominent inventor based in Troy, NY (US). He has made significant contributions to the field of machine learning, particularly in the area of spectral data augmentation. His innovative approach has the potential to enhance the performance of machine learning models in various applications.
Latest Patents
Hanqing Chao holds a patent titled "Spectral data augmentation for single domain generalization." This patent describes a machine learning model that is trained using original source domain data through empirical risk minimization. A model sensitivity map is computed, targeting each sensitive frequency point on this map. An adversarial technique is employed to generate spectral adversarial images based on the model sensitivity map, augmenting an image amplitude spectrum. The generated spectral adversarial images are mixed with the original source domain data to finetune the machine learning model, facilitating the deployment of the finetuned model.
Career Highlights
Throughout his career, Hanqing Chao has worked with notable organizations, including IBM and Rensselaer Polytechnic Institute. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
One of his notable coworkers is Amit Dhurandhar, with whom he has likely shared insights and expertise in their respective fields.
Conclusion
Hanqing Chao's work in machine learning and spectral data augmentation exemplifies the innovative spirit of modern inventors. His contributions are paving the way for advancements in technology and research.