Taoyuan, Taiwan

Che-Han Chang

USPTO Granted Patents = 5 


Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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5 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Che-Han Chang

Introduction

Che-Han Chang, an accomplished inventor based in Taoyuan, Taiwan, has made significant strides in the field of artificial intelligence with a focus on generative adversarial networks (GANs). With a total of four patents to his name, he has demonstrated a commendable commitment to advancing technology and innovation.

Latest Patents

Che-Han's recent patents include pioneering methods for training generative adversarial networks. One notable patent, titled "Method for Training Generative Adversarial Network (GAN)," outlines a process where the first generator is trained with available samples belonging to a specific category. This method unique allows the second generator to produce images belonging to a different category, even in the absence of training data. Another key patent, "Method for Verifying Training Data, Training System, and Computer Readable Medium," details a system for validating labeled results corresponding to images. The method intelligently analyzes bounding regions, determining if they belong to different target objects or the same object based on similarity assessments.

Career Highlights

Che-Han Chang currently works for HTC Corporation, a renowned company known for its innovative approaches in technology. Throughout his career, Che-Han has continually focused on exploring the capabilities of AI, particularly in enhancing image generation techniques and improving data verification processes. His work not only contributes to the advancement of technology but also adds significant value to HTC’s research and development efforts.

Collaborations

In his journey as an inventor, Che-Han has collaborated with talented colleagues such as Edward Chang and Chun-Hsien Yu. Together, they have worked on various projects aimed at enhancing AI technologies and improving the functionalities of generative models.

Conclusion

Che-Han Chang stands out as a prominent inventor whose innovative patents are shaping the future of artificial intelligence. His dedication to developing methods for generative adversarial networks positions him as a key player in the AI community, and his work continues to inspire future advancements in the field. With each patent he secures, Che-Han reaffirms the vital role of inventors in driving technological innovation forward.

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