Sunnyvale, CA, United States of America

Yan Jiao

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2022)
  • Mountain View, CA (US) (2024)

Company Filing History:


Years Active: 2022-2024

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Inventor Spotlight: Yan Jiao from Sunnyvale, CA

Introduction

Yan Jiao is an innovative inventor based in Sunnyvale, California, recognized for his contributions to the mobility-on-demand industry. With a remarkable portfolio that includes three patents, Jiao is making significant strides in optimizing vehicle positioning and ride dispatch systems.

Latest Patents

Jiao's latest patents demonstrate his expertise in applying deep reinforcement learning to enhance vehicle repositioning on ride-sharing platforms. One of his notable inventions focuses on the use of deep reinforcement learning to gather information about a vehicle's current location, allowing for the evaluation of several predetermined paths. By analyzing expected cumulative rewards, the system selects the best path for vehicle repositioning, ultimately recommending the next action for improved operational efficiency.

In addition, Jiao has developed a comprehensive system for ride order dispatching alongside vehicle repositioning. This method captures essential information about the vehicle's location and current ride orders, which is then processed by a trained model. The model calculates whether the vehicle should reposition or accept a ride order, thus streamlining the dispatching process with real-time data inputs.

Career Highlights

Yan Jiao is currently employed at Beijing Didi Infinity Technology and Development Co., Ltd., where he leverages his expertise to enhance mobility solutions. His focus on intelligent dispatching systems reflects his commitment to advancing transportation technology.

Collaborations

Throughout his career, Jiao has collaborated with talented professionals in the field, including Zhiwei Qin and Xiaocheng Tang. These partnerships underscore the collaborative nature of innovation in the rapidly evolving tech landscape.

Conclusion

With a strong foundation in deep learning applications and a clear vision for the future of transportation, Yan Jiao continues to make impactful contributions to the industry. His work not only exemplifies the potential of technology in improving ride-sharing services but also positions him as a key figure in the innovation sector.

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