项目概览 | Overview

我们聚焦于模型驱动的智能系统(Model-driven Intelligent Systems),构建从数据、模型到系统部署的完整闭环,实现算法与真实世界应用的统一。

We aim to build end-to-end intelligent systems, bridging models and real-world deployment.



1. 自进化智能体构建系统

Self-Evolving AI Agent System

本项目致力于构建面向不同垂直领域的自进化智能体系统,通过数据驱动的智能体生成与多智能体协同机制,实现领域知识的持续学习与演化,广泛应用于科研分析、产业决策与城市治理等场景。

Agent System

  • Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation
    Jinliang Liu, Jiale Bai, 🔥 Shaoning Zeng, ACL 2026

Agent System

  • A Dual-Phase Self-Evolution Framework for Large Language Models
    Haoran Sun, Zekun Zhang, 🔥 Shaoning Zeng†, ACL 2026

  • Preference-Aware Memory Update for Long-Term LLM Agents
    Haoran Sun, Zekun Zhang, 🔥 Shaoning Zeng†, ACL 2026


2. 特种场景自主导航机器人感知系统

Autonomous Perception System for Robots

面向复杂开放环境下的机器人自主导航任务,本项目构建了一套从数据自动构建、模型自适应学习到多模态感知融合的完整系统,使机器人具备稳定的环境理解与决策能力,可应用于智能巡检、无人机场景与安全监控等领域。

Robot System

  • SD-PSFNet: Sequential and Dynamic Point Spread Function Network for Image Deraining
    Wang, Jiayu, Bian, Haoyu, Sun, Haoran, 🔥 Shaoning Zeng†, AAAI 2026

持续探索 | Ongoing Directions

  • 多智能体系统(Multi-Agent Systems)
  • 具身智能与机器人(Embodied AI & Robotics)
  • 数据驱动智能系统(Data-centric AI Systems)

合作交流 | Collaboration

欢迎产业界、科研机构及政府单位开展合作。

We welcome collaboration from industry, academia, and public sectors.

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