Wanqing He
Vice President of Qingcheng.ai
Dr. He Wanqing is currently the Vice President of Qingcheng.ai. He previously served as Senior Director at Biren Technology, where he was responsible for Turnkey systems and application optimization. His past roles include Chief Engineer at Intel DCAI, Head of High-Performance Computing at Alibaba Cloud and Senior Technical Expert, CTO of 360 Cloud, and R&D Manager at Motorola and Guodian Power. Dr. He graduated from Shanghai Jiao Tong University in 1999 and has devoted the past 25 years to HPC parallel optimization, cloud computing, and AI application performance tuning. He has also invested significant time in fostering industry-academia-research collaboration within the China Computer Federation (CCF). He has served as a CCF Executive Committee Member, Standing Committee Member of the CCF High Performance Computing Technical Committee, Vice Chair of CCF YOCSEF Headquarters, Vice Chair of ACM Hangzhou, and Chair or Committee Member of the Enterprise Track of the CNCC 2022, 2023, and 2024 Technical Forums. He has been awarded numerous honors, including CCF Honorary Member, CCF Distinguished Speaker, and CCF Outstanding Contribution Award. He has authored three books on parallel development and cloud computing, translated and published five books on the internet, popular science, and engineering technology, and received the 40th Anniversary Outstanding Contribution Award from the Publishing House of Electronics Industry as well as the 2024 Best Translator Award from Cheers Publishing.
Topic
Agentic AI Infrastructure: An Agent-Centric “Gossip Furnace” Intelligent Software Stack
The integration between the Bagualu Agent and the Bagualu Intelligent Computing Software Stack enables a new generation of agent-centric enterprise software architecture, similar to OpenClaw. The architecture is divided into three layers. Through the Bagualu Agent, the full chain of interaction is realized as: “natural language → Bagualu Agent → Bagualu platform → operation of the Bagualu intelligent software stack → third-party industrial software.” From top to bottom, the three layers of the Bagualu software stack are: The application enablement layer transforms natural language into skill-based capabilities. The core Bagualu engine layer, powered by engines such as Chitu and Mtuner, ensures low-latency inference and real-time agent actions. The compute infrastructure layer (Turnkey) addresses the cost efficiency of running agents.
