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Resume (English only)
Academic Achievements
The team achieved significant accolades, including the gold medal in the 2021 World Intelligent Driving Challenge Extreme, first prize in the 2019 i-VISTA Automatic Driving Challenge Competition, and top honors in the City Traffic Scene Challenge Competition. Additionally, multiple papers have been accepted by journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Geoscience and Remote Sensing, and Automotive Innovation.
Research Experience
Responsible for the algorithm research of the perception group and the integration and debugging of each module system of the unmanned vehicle in the Meng Shi Team (清华猛狮团队) during the joint training period.
Education
Obtained a master’s degree from the School of Computer Science and Engineering, Northeastern University, Shenyang, China in 2023, advised by Professor Lu Wang; also participated in the joint training program for graduate students at Tsinghua University, supervised by Professor Xinyu Zhang and Academician Jun Li of the Chinese Academy of Engineering.
Background
Currently working as an algorithm researcher in the Autonomous Driving Division of X Research Department at JD Logistics, focusing on the research and development of vision and point cloud perception algorithms. Research interests include autonomous driving perception algorithms, multimodal information fusion, and zero/few-shot learning.
Miscellany
Announced the release of a new GitHub repository focused on various attention mechanisms, designed to make it easier to experiment with and integrate different attention modules, offering a plug-and-play approach to boost performance across tasks.