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Contact Information

Name Bo Zhang
Professional Title Undergraduate Researcher
Email bozhang23@mails.tsinghua.edu.cn

Professional Summary

Undergraduate researcher at Tsinghua University working on multimodal agentic systems — building agents that act reliably across pixels, simulations, and classrooms.

Education

  • 2023 - 2027

    Beijing, China

    B.Eng.
    Tsinghua University
    Department of Automation
    • Research focus on multimodal agentic systems, computer-use agents, and AI for science.

Publications

  • 2026
    BAMI: Training-Free Bias Mitigation in GUI Grounding
    CVPR 2026

    Training-free inference-time method that combines coarse-to-fine focus with candidate selection to mitigate precision and ambiguity biases in GUI grounding. Lifts TianXi-Action-7B accuracy on ScreenSpot-Pro from 51.9% to 57.8%. Co-first author (order decided by coin flip).

  • 2026
    Grounding LLMs in Scientific Discovery via Embodied Actions
    ICML 2026

    EmbodiedAct grounds LLMs in scientific software via a tight perception–execution loop. Instantiated within MATLAB; achieves SOTA on engineering design and scientific modeling with strong long-horizon stability. Co-first author.

Awards

  • 2025
    Grand Prize (特等奖) — 43rd Tsinghua Challenge Cup, AI Teaching-Agent Track
    Tsinghua University

    Project AEI4U — an AI teaching assistant for Fundamentals of Analog Electronics built on the Dify-THU platform. Project Lead.

Projects

  • AICosmos

    Educational multi-agent platform incubated by Tsinghua’s Department of Computer Science. Tutor / Role-Play / Q&A agents composed into a course-grade assistant. Live at aicosmos.ai.

    • Multi-agent orchestration
    • Educational and research workflows
  • Syll

    Self-hosted, MIT-licensed AI companion with a web UI, multi-channel chat, proactive rituals, markdown skills, and a desktop ghost. Core contributor at THU-SAGE/syll.

    • Recorded-workflow studio
    • Cross-channel (Telegram, Feishu, Discord, WhatsApp, Web, CLI)
    • PyQt6 desktop ghost
  • AEI4U

    AI teaching assistant for analog electronics on Dify-THU. Project Lead. Won Grand Prize at Tsinghua’s 43rd Challenge Cup AI Teaching-Agent track.

    • Circuit topology recognition
    • SPICE-in-the-loop simulation
    • Adaptive learner profiling

Skills

Research (Multimodal agents · GUI grounding · Embodied AI · Scientific simulation): Multimodal Agents, GUI Grounding, Computer-Use Agents, Embodied LLMs, AI for Science
Engineering (Python · PyTorch · LiteLLM · FastAPI · PyQt6 · MATLAB): Python, PyTorch, FastAPI, LiteLLM, PyQt6, MATLAB, Dify

Languages

Mandarin Chinese : Native
English : Fluent — academic reading & writing

Interests

Building agentic systems that act in the real world: Computer-Use Agents, Embodied LLMs, AI for Science, Educational Multi-Agent Systems