ZHANG Kaiyan

About Me

I am currently pursuing my Master’s degree in AI at The University of Hong Kong (HKU). Prior to this, I earned my Bachelor’s degree from the Harbin Institute of Technology (HIT).

After graduation, I worked as an autonomous driving perception algorithm engineer for two years at BYD Auto Industry Co., Ltd., in Shenzhen, China. My role involved developing perception algorithms for autonomous driving, which included 3D occupancy prediction, multi-sensor fusion, and parking space detection.

Publications

Papers

• A Survey of Semantic Matching (In Progress, under Prof Kai Han’s supervision)
• Zhang K, Feng, X. A Vehicle Classification Method Based on Deep Learning and Data Augmentation. In International Conference on Optics and Machine Vision (ICOMV 2023), Proc. SPIE (Vol.12634, p.1263408). (EI)
• Zhang K, Feng, X. A Vehicle Classification Method Based on Improved ResNet. In 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), Proc. SPIE (Vol.12605, p.1260506). (EI)

Patents

• 障碍物检测模型的训练方法、障碍物检测方法及存储介质, CN118918403A, Published on October 8, 2024, Primary Inventor.
• 目标检测方法、车辆及存储介质, CN118692050A, Published on September 24, 2024, Primary Inventor.
• 路面识别方法、计算机可读存储介质、控制器和车辆, CN118537823A, Published on August 23, 2024, Primary Inventor.
• 车位检测方法、装置、车辆及存储介质, CN117671632A, Published on March 8, 2023, Primary Inventor.
• 一种图像识别方法及相关装置 (Application Number: 202410870834.1), Co-Inventor.
• 目标检测方法、目标检测模型训练方法及相关产品 (Application Number: 202410930991.7), Co-Inventor.
• 一种车辆控制方法及相关装置 (Application Number: 202411048581.6), Co-Inventor.

Awards & Certifications

Awards

• National Second-Class Award in RoboMaster University Championship Aug.2019
• Provincial First-Class Award in North Division RoboMaster University Championship Jun.2019
• Social Work Scholarship Jun.2020

Certifications

• Microsoft Certified: Azure AI Fundamentals Sept.2023
• Career Essentials in Generative AI by Microsoft and LinkedIn Aug.2023

Professional Skills

• Python, C++, C, LaTex, Linux, Shell, MATLAB, Simulink
• Proficient in autonomous driving data workflows, encompassing collection, processing, and annotation
• Experienced in embedded terminal deployment