Summary
Xianlong Hou is a Generative AI Specialist with 12 years of experience building production-ready AI systems across leading Chinese tech companies, currently working on ChatBI at Tencent Cloud. He bridges deep research and applied engineering in multimodal pre-training, LLMs, diffusion models, graph computing and privacy-preserving approaches like federated learning and local differential privacy. His background spans finance risk modeling and fraud detection at Ant Financial and SIAT, to applied CV/NLP and recommender systems at OPPO and Huawei, giving him a rare cross-domain fluency from scientific modeling to large-scale product deployment. He holds a PhD in quantitative risk analysis and early-career work developing automated hydrodynamic/oil-spill simulation tooling, reflecting strong skills in uncertainty quantification and engineering robust pipelines. Colleagues rely on him to translate cutting-edge generative research into scalable cloud services while keeping privacy and risk constraints front-and-center. Based in Shenzhen, he combines academic rigor with hands-on system-building in fast-moving enterprise environments.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Civil Engineering-Quantitative Risk Analysis and Numerical Modeling, Doctor of Philosophy - PhD Civil Engineering-Quantitative Risk Analysis and Numerical Modeling at Cockrell School of Engineering, The University of Texas at Austin
Bachelor's Degree Hydrology and Water Resources Engineering, Bachelor's Degree Hydrology and Water Resources Engineering at Hohai University