SEA CROSS INNOVATION INTERNATIONAL CO., LTD.

Dr. Liang Xu graduated from the School of Automation and Perception at Shanghai Jiao Tong University. During his doctoral studies, he worked on a national key project about artificial hearts. In 2014, he received a scholarship from the China Scholarship Council (CSC) to pursue a joint doctoral program in Bonde Artificial Heart Lab, School of Medicine at Yale University. He has been granted 5 invention patents, 1 design patent, and 8 SCI/EI papers. He has worked at SAIC Motor Corporation Limited and FAW Holding Zhito Technology (Shanghai) Co., Ltd. In 2024, he was selected as a Hong Kong Outstanding Talent, and in 2025, he founded Sea Cross Innovation International Co., Ltd. His expertise lies in artificial intelligence, deep learning, computer vision, large language multimodal models, embodied intelligence, computer networks, blockchain, quantitative trading, server hardware and software, portable devices, cross-border identity, and related consulting.

Zhaopeng Dong holds a Doctor of Philosophy in Instrument Science and Technology from Shanghai Jiao Tong University. His doctoral research focused on structural design and parametric optimization of ultrasonic motors, as well as performance enhancement of high-power transducers. He is currently affiliated with Shanghai Ocean University, where his research interests encompass marine intelligent instruments, ultrasonic detection technology, and image recognition. He has published 8 SCI-indexed academic papers, presided over 1 provincial and ministerial-level research project, and received 2 provincial and ministerial-level scientific and technological awards.

Haihui Long is a graduate supervisor at the School of Automation and Perception, Shanghai Jiao Tong University. His research interests include UAV formation navigation and control, intelligent sensing and route planning, and biomimetic flapping-wing aircraft design. He has led more than 10 national and key enterprise projects, published over 150 papers, and obtained more than 20 authorized patents. In 2017, he won the "Golden Idea Award" at the first National Innovation Challenge.

Dr. Zheng Ren is a distinguished AI leader with a Ph.D. in Applied Mathematics from Fudan University and nearly ten years of experience in AI R&D and management. He currently serves as Senior Director of the Digital Intelligence Committee and Head of Algorithm Team at Fosun Group.His academic research focuses on neural networks, AI mathematics and cybersecurity, with overseas research experience at the University of Texas at San Antonio supported by CSC. He has published high-impact papers in top SCI journals and holds multiple national invention patents.Previously at SAIC AI Lab, he led the development of core intelligent systems for supply chain, production and automotive finance. At Fosun, he oversees AI strategy, large model tuning, AIGC, industrial AI and intelligent computing infrastructure, driving AI applications across scenarios and achieving over 10% cost reduction and efficiency improvement in factories. He excels in full-stack AI technology and large-scale industrial implementation.

Gong Fei is an algorithm expert who holds a Master's degree in Information Science and Engineering from Ningbo University. He has long been engaged in algorithm research and technical engineering implementation in the field of computer vision. He has published 8 academic papers, including 5 SCI-indexed papers, holds 5 authorized patents, and has published 1 academic book.Currently, he is primarily engaged in the mass production of technologies related to visual perception for autonomous driving, responsible for the development and delivery of 2D/3D/BEV object detection algorithm models.

Yin Yunjie Master's Degree in Signal and Information Processing, University of Electronic Science and Technology of China Over 10 years of R&D experience in image and point cloud processing, object detection and segmentation, SLAM, and artificial intelligence, spanning the chip, autonomous driving, and robotics industries. He holds a Master's degree in Electronic Engineering from the University of Electronic Science and Technology of China, possessing a solid academic background in signal and information processing. He excels at applying computer vision and AI technologies to complex perception systems, dedicated to creating high-precision, high-reliability intelligent perception solutions.Core Competencies:Perception Algorithms: Image/point cloud multimodal fusion, object detection and instance segmentation, multi-sensor SLAM Industry Applications: Autonomous driving environmental perception, robot navigation and localization, chip-related algorithm optimization. Engineering Experience: From algorithm prototype to product deployment, emphasizing performance and real-time capabilities.