Core Technology Team
Detail Future's R&D center brings together master's and doctoral talent from leading universities worldwide, focused on embodied intelligence data solutions and world model research across multimodal perception, temporal signal processing, 3D spatial modeling, data products and delivery, in collaboration with Professor Li Xiuxing's research team at Beijing Institute of Technology.
The team covers embodied multimodal perception, sim-to-real transfer, world-model training data and brain-inspired architectures, building end-to-end capabilities from task definition and collection to annotation, quality evaluation and delivery.
Research directions
Core members
Zheng Mingkai
Chief Technology Officer
PhD, University of Sydney· Bachelor's degree with First Class Honours, University of New South Wales, Australia
Leads technical direction for embodied intelligence and world models
Wang Zhuo
Expert in Human-Computer Interaction and Large Model Algorithms
Ph.D., Department of Computer Science and Technology, Tsinghua University· Special Associate Research Fellow, School of Computer Science, Beijing Institute of Technology
For the areas of human-computer interaction and large model algorithms.
Guo Xiaolin
Head of Data Products
Tsinghua University integrated program · Joint training at Harvard University
Data product planning, project evaluation and global coordination
Luo Youyang
AI System Architecture Expert
Holds a bachelor's degree from Tianjin University · a master's degree from UCLA· formerly a Senior Architect at Google
Large-scale AI training systems, distributed computing, and cloud infrastructure.
Du Xingchun
Senior Advisor
National-level senior industry advisor
Translates real-world needs into data tasks and technical solutions
Feng Xuebing
Senior Data Scientist
Professor-level senior engineer
Multisource spatiotemporal fusion, 3D modeling and sim-to-real alignment
Feng Gang
Co-founder & Chief Operating Officer
Experienced hard-tech commercialization leader
Builds commercialization, ecosystem partnerships and scalable delivery
Research collaboration
Detail Future collaborates with Professor Li Xiuxing's research team at Beijing Institute of Technology
Advancing brain-inspired foundation models, continual learning, multimodal perception and world-model training data for real-world embodied intelligence.Project results
Our team has spent years working across artificial intelligence, multimodal signal processing, 3D spatial modeling, data products and complex project delivery, connecting frontier research with real-world engineering practice.
As embodied intelligence and world models evolve, Detail Future continues to advance real-world data, multimodal processing, model evaluation and compliant global delivery.
Foundation Models and Intelligent Reasoning
The team has led and contributed to national and provincial AI projects spanning foundation-model reasoning, knowledge graphs, brain-inspired intelligence, heterogeneous data fusion and continual learning.
Representative work includes a meteorological observation foundation-model system, top-tier AI publications and invention patents. These efforts support semantic modeling, data-schema design, knowledge organization and evaluation for embodied tasks.
Multimodal Signals and Real-time Closed-loop Systems
The team has built sustained expertise in multimodal signal fusion, domain generalization, explainable AI, brain-signal processing and real-time neural feedback.
Members have led or contributed to provincial projects, published 20+ SCI papers, obtained invention patents and received a provincial patent award. A representative MEG neural-feedback system was published in Communications Biology, strengthening temporal synchronization, cross-device fusion, anomaly detection and quality evaluation.
3D Spatial Modeling and Digital Twins
The team brings city-scale spatiotemporal engineering, oblique-photography surveying, integrated 3D modeling and digital-twin experience.
Representative work includes oblique-photography surveying and 3D modeling across approximately 3,600 square kilometers in Beijing. The team supports spatial calibration, environment reconstruction, 3D relation understanding, precision evaluation and sim-to-real alignment for embodied intelligence.
Complex Project Planning and Productization
The team has full-lifecycle planning experience in smart-city projects, including a smart new-city project with approximately RMB 17 billion in total investment.
The team integrates requirements, technology, cost, risk and delivery rhythm into executable, manageable and acceptance-ready data-product plans.
Commercialization and Scalable Delivery
The team has more than 15 years of hard-tech commercialization, enterprise and government expansion, and complex project-delivery experience.
Members have built telecom sales and service systems from zero to RMB 300 million in annual revenue and managed a large technology-services business reaching RMB 500 million with more than 20% average annual growth. This experience connects customer needs, solution design, data production, quality, ecosystem collaboration and global delivery.
Academic output
The team has published research across AI, multimodal fusion, domain generalization, interpretable AI, temporal signal processing and real-time neural feedback, including 20+ SCI papers, 20+ patents and 40+ top-conference and journal publications, with further collaboration in brain-inspired computing, continual learning and deep reinforcement learning.