Research agenda & public record

Research

Research themes, the published AgentOS book, open-source work, and public contributions by Jiayu Xu.

  • Agent Systems

    Temporal long-term memory, identity and data boundaries, planning, tool use, MCP, Skills, evaluation, and human oversight for consequential actions.

  • AI Models & Computer Vision

    Architecture, multimodal learning, recognition, segmentation, denoising, inference, and evaluation, with an emphasis on model capability in real tasks.

  • Reinforcement Learning & Decision Intelligence

    Distributed environments, reward design, policy learning, game balance, and evaluation methods that reflect real decision quality.

  • Production AI

    Retrieval, permissions, observability, deployment, cost, safety, regression testing, and the operating mechanisms that keep systems reliable over time.

Book

A production-minded account of how enterprise agents move from capability demos to reliable, governable, and operable systems.

Cover of Enterprise AgentOS Architecture Design and Engineering Practice
Published · Tsinghua University Press

Enterprise AgentOS Architecture Design and Engineering Practice

Agent architecture, runtimes, MCP, RAG, policies, approvals, security, observability, evaluation, long-running tasks, and platform operations.

Open source

Nearly 1K stars across public work spanning agent frameworks, coding agents, production backend foundations, project generators, and computer-vision tools.

  • FastAPI-Template · 500+ stars

    A production backend foundation for modularity, RBAC, caching, tasks, observability, and deployment—and the largest project in the portfolio. Production notes ZH

  • create-fastapi-app · 100+ stars

    A generator that turns architecture conventions into repeatable service foundations for teams.

  • ZipAgent · 100+ stars

    A lightweight Python agent framework covering tool use, streaming, memory, and MCP.

  • MiniCode · 70+ stars

    A compact Go coding agent for understanding tool calls, file operations, permissions, and context management. Design notes ZH

  • WebSeg · 50+ stars

    A web interface that makes visual segmentation directly usable and interactive.

International machine-learning competitions

Kaggle is an international competition platform for machine-learning and data-science practitioners. The following selected competitions earned bronze medals.

Public record

A public record connecting research, engineering, and technical communication.

  • Author of Enterprise AgentOS Architecture Design and Engineering Practice, published by Tsinghua University Press.
  • 15 research publications across AI, computer vision, decision systems, and manufacturing automation.
  • 12 authorized invention patents and 12 utility model patents. Clickable public records are in Patents below.
  • Nearly 1K stars across public GitHub projects, led by FastAPI-Template with 500+ stars.
  • Three bronze medals in international Kaggle machine-learning competitions; the specific competitions are listed above.
  • Code and improvement contributions to prominent open-source AI projects including OpenMMLab and sherpa-onnx.
  • Enterprise mentor, technical reviewer, and participant in professional computing and robotics communities.

AI & Software Patents

Only invention patents directly related to AI, algorithms, and software systems are listed. Another 12 utility-model patents cover industrial equipment and mechanical structures and are not expanded here.

AI, models & algorithms

  • CN116912827B

    Granted · Interactive annotation method and system based on large models

  • CN119088998A

    Published · Multimodal image retrieval method and system

  • CN118734966A

    Published · Real-time inference for heterogeneous image fusion based on deep learning

  • CN117058528A

    Published · AI image annotation and training management method and apparatus

  • CN116704240A

    Published · Image annotation and training method and apparatus

  • CN114266923B

    Granted · Multi-label classification model construction and waste-bottle classification

  • CN112766481B

    Granted · Neural-network training and image anomaly detection

  • CN111476780B

    Granted · Image detection method, apparatus, electronic device, and storage medium

  • CN111310613B

    Granted · Image detection method, apparatus, and computer-readable storage medium

  • CN111617478B

    Granted · Game-lineup strength prediction method and apparatus

  • CN114254260B

    Granted · Mining unbalanced data groups in games

  • CN113230650B

    Granted · Model- and genetic-algorithm-based lineup data processing

  • CN115957511A

    Published · Determining virtual-object behavior with trained behavior models

  • CN119048478A

    Published · Image clarity evaluation method and apparatus

  • CN112384946A

    Published · Neural-network-based defective-pixel detection

Software & data systems

  • CN116701505A

    Published · Intelligent conversion of waste-sorting data

  • CN116468429A

    Published · Renewable-waste value estimation method and system

  • CN119311937A

    Published · Remote collection of device information

  • CN110457214A

    Published · Application testing method, apparatus, and electronic device

For conversations about AI team building, agent platforms, or production deployment, contact xujiayu0606@gmail.com.