Tingfeng Li

Title: Innovations by Inventor Tingfeng Li

Introduction

Tingfeng Li is an accomplished inventor based in Plainsboro, NJ (US). He has made significant contributions to the field of technology, particularly in the areas of deep reinforcement learning and fiber optic sensing technology. With a total of 2 patents, his work demonstrates a commitment to advancing innovative solutions.

Latest Patents

One of Tingfeng Li's latest patents is titled "Learning ordinal representations for deep reinforcement learning based object localization." This invention addresses the challenge of query object localization by training an agent to identify objects of interest from a small exemplary set. The approach utilizes a transferable reward signal formulated through ordinal metric learning, enabling the agent to adapt to new environments where reward signals are not readily available. This method outperforms traditional fine-tuning approaches that rely on annotated images. Experiments conducted on the corrupted MNIST dataset and CU-Birds dataset showcase the effectiveness of this innovative approach.

Another notable patent is "Distributed intelligent SNAP informatics." This invention involves a fiber optic sensing technology designed for automatic detection of vehicle run-off-road incidents through sonic alert pattern (SNAP) vibration patterns. A machine learning method is employed, trained, and evaluated against various heterogeneous factors using controlled experiments. The results indicate its applicability for future field deployment. The events extracted from the operation of this system can be integrated into existing management systems for intelligent transportation and smart city applications, facilitating real-time traffic congestion alleviation and quick response for rescue and clearance operations.

Career Highlights

Tingfeng Li is currently employed at NEC Corporation, where he continues to develop innovative technologies that address real-world challenges. His work reflects a strong dedication to enhancing safety and efficiency in transportation systems.

Collaborations

Tingfeng has collaborated with notable colleagues, including Shaobo Han and Renqiang Min, contributing to the advancement of their shared projects and innovations.

Conclusion

Tingfeng Li's contributions to technology through his patents highlight his innovative spirit and dedication to solving complex problems. His work in deep reinforcement learning and fiber optic sensing technology positions him as a significant figure in the field of invention.