Qingyang Li

Title: Innovations of Qingyang Li in Ride-Hailing Technology

Introduction

Qingyang Li is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of ride-hailing technology, holding 2 patents that showcase his innovative approach to enhancing driver and platform interactions.

Latest Patents

One of his latest patents is titled "Method and system for constructing virtual environment for ride-hailing platforms." This invention discloses methods, systems, and apparatus for constructing a virtual environment tailored for ride-hailing platforms. The exemplary method involves obtaining a plurality of historical interaction trajectories, training a simulator based on these trajectories, and integrating a reward function to create a virtual environment that simulates driver interactions.

Another notable patent is "Reinforcement learning method for driver incentives: generative adversarial network for driver-system interactions." This patent describes a system and method for determining a policy to prevent fading drivers. It creates virtual trajectories of incentives, such as coupons, and uses a joint policy simulator to generate simulated actions of drivers in response to these incentives. The optimization of the incentive policy is achieved through reinforcement learning based on the generated virtual trajectories.

Career Highlights

Qingyang Li works at Beijing Didi Infinity Technology and Development Co., Ltd., where he applies his expertise in developing innovative solutions for ride-hailing services. His work focuses on enhancing the interaction between drivers and the platform, ultimately improving the overall user experience.

Collaborations

Some of his notable coworkers include Zhiwei Qin and Jieping Ye, who collaborate with him on various projects within the company.

Conclusion

Qingyang Li's contributions to ride-hailing technology through his patents reflect his commitment to innovation in the field. His work continues to influence the way drivers interact with ride-hailing platforms, paving the way for future advancements.