
A one-day event in Shenzhen, where researchers, engineers, and developers from over 500 companies come together for the fourth year to share knowledge, innovation, and progress.

Born from a community for a community, YOLO Vision 2025 (YV25), powered by Ultralytics, unites the open-source vision AI community. #YV25 is a conference focused on Data, ML, and computer vision advancements. Like many great ideas, Ultralytics started with a simple belief: AI should be open, accessible, and powerful enough to change the world.
Join industry experts and leaders in the AI field as we trailblaze the new frontier of vision AI.
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Join a vibrant, global community. Connect with professionals from around the world, broaden your network, and unlock exclusive opportunities for meaningful interactions.
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Explore the latest in Vision AI, including Ultralytics YOLO advancements, industry trends, and future breakthroughs. Stay ahead with firsthand insights and new technologies.
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Experience interactive demos and hands-on sessions with Ultralytics YOLO. See live examples of our vision AI in action across industries.
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Gain insights from industry leaders and end users on the latest in computer vision. Explore Ultralytics YOLO applications, case studies, and networking opportunities. The event will be held predominately in Chinese.
Paul Jung
Liu Lingfei
Yue Ziyin

Join leading experts, researchers, and open-source contributors from the AI community.

Founder & CEO

Glenn Jocher
Founder & CEO
Glenn Jocher revolutionized AI with his YOLO models including YOLOv5, YOLOv8, and YOLO11. With over 112k GitHub stars and more than 100 million pip downloads, his vision for accessible AI empowers users worldwide to tackle real-world problems.

Senior Machine Learning Engineer

Jing Qiu
Senior Machine Learning Engineer
Originally from Ziyang, Sichuan, he has five years of deep learning experience in computer vision and is a co-author of YOLOv8. With a Software Engineering background, his passion for AI began in university, where he explored deep learning through online tutorials. He is committed to continuous growth in AI.

Algorithm Engineer

Zhang Peng
Algorithm Engineer
With over 10 years of experience in visual AI research, he is currently responsible for algorithm research and implementation related to digital humans and human video generation at Tongyi Lab. His work focuses on real-time cross-modal visual technologies and algorithms. He has led projects such as Animate Anyone (Wan-Animate).

Senior Algorithm Engineer

Yue Ziyin
Senior Algorithm Engineer
Yue is mainly responsible for the post-training of multimodal and language models, focusing on model alignment and real-world deployment. In the field of large model training, he is proficient in SFT, RL, RAG, and Agent-related technologies. Previously, he worked at the United Nations Office of Information and Communications Technology (OICT), where he participated in the design and development of deep learning solutions.

Head of Edge Device

Liu Lingfei
Head of Edge Device
At Moore Threads, he leads software development for edge SoC projects, overseeing BSP, device drivers, AI OS, Android integration, low-power systems, edge inference, and embodied intelligence solutions. Previously at AMD, Alibaba Cloud, Huawei, and HiSilicon, contributing to major projects like Kirin SoC, Euler OS, Alibaba Cloud ECS, and multiple AMD GPUs and APUs.

Business Development Manager

Violet Su
Business Development Manager
Violet Su is a Business Development Manager at Seeed Studio, a tech company providing Edge AI and IoT hardware, along with customization services for various applications. In her role, Violet explores, fosters, and strengthens partnerships across industries, communities, and academia.

Assistant Researcher

Chen Hui
Assistant Researcher
Chen Hui specializes in cutting-edge research in computer vision and multimodal learning. His work focuses on the architecture design, training optimization, and inference acceleration of foundational vision and multimodal models. He has published over 30 papers in top-tier international conferences and journals (CCF Class A), and lead popular open-source projects such as YOLOv10 and YOLOE.

Senior Product Manager

Alex Zhang
Senior Product Manager
Alex Zhang is a Senior Product Manager at Baidu and an Open Source Evangelist for the Linux Foundation in the Asia-Pacific region. He also serves as the Polaris Ambassador for the Milvus Community. He co-authored The Authoritative Guide to OpenVINO Toolkit and Deep Learning Image Recognition Technology, and made significant contributions to the field of AI and open source.
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VP of Developer Ecosystem
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Hu Chunxu
VP of Developer Ecosystem
Hu Chunxu, founder of the ROS community "GuYueHome," is an expert in Robot Operating Systems (ROS) and AI. He’s the author of several best-selling technical books, including ROS Robot Development Practice and ROS 2 Intelligent Robot Development in Practice, and has played a key role in advancing ROS technology. He also led the development of a new robot development model based on the RDK kit.

Sales Director

Paul Jung
Sales Director
Paul Jung is the Sales Director at DEEPX, leading global sales of AI NPU chip solutions. With over 13 years in semiconductor marketing and sales and 6 years as an AI startup founder and CEO, he brings deep industry expertise. A former advisor to Korea’s national AI R&D project (2019–2023) and winner of Seoul’s AI Systems Startup Grand Prize.

Head of Product Engineering

Prateek Bhatnagar
Head of Product Engineering
Prateek Bhatnagar is Head of Product Engineering at Ultralytics. With a masters in computer science from John Hopkins, Prateek has experience in health tech startups, combining medical device expertise with modern cloud infrastructure (AWS/GCP).
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YOLOv6 Author
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Bo Zhang
YOLOv6 Author
Bo is a computer vision expert who currently leads a foundation model team at RobotEra. His work now focuses on embodied intelligence and vision-language models (VLMs). Prior to this role, he served as an Algorithm Strategist at Meituan, where he was part of the team behind the widely adopted YOLOv6 project. He also has extensive hands-on experience in key fields including autonomous driving, MLOps, and the inference optimization of LLMs/ MLLMs.
