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ztxtech/README.md
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👋 Hi, I'm Tianxiang Zhan

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🛰️ whoami

> whoami
name:        Tianxiang Zhan
role:        PhD Candidate
affiliation: Monash University — Faculty of Information Technology
location:    Clayton, VIC 🇦🇺
status:      "Booting up a new research chapter ↓"
former:      M.Eng. @ UESTC (2023–2026) · B.Eng. @ SWU (2019–2023)
mission:     >-
  Build trustworthy autonomous agents that can reason over, forecast, and act on
  complex temporal evidence — with explicit uncertainty and stop-discipline.

🔭 Now at Monash IT as a PhD student, pushing agentic time-series systems and uncertainty-aware decision making further.

⚡ Live Signals (auto-refreshed by GitHub Actions)

snake gif

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📡 Latest commits on aion (the harness)
  • 8627638 — chore(release): bump version to 1.0.4 (ztxtech, 2026-08-23)
  • 68e2913 — feat(harness): add supervision, metric-sanity and trace gates (ztxtech, 2026-08-23)
  • caefb25 — chore(release): bump version to 1.0.3 (ztxtech, 2026-08-23)
  • eec5865 — feat(harness): add two-phase score-driven iteration with lock check (ztxtech, 2026-08-23)
  • 0ad190d — chore(release): add contract version file and bump to 1.0.2 (ztxtech, 2026-08-23)
  • bbc8982 — docs(devnotes): add knowledge base with scored-task feedback-loop note (ztxtech, 2026-08-23)
  • 0ceb94b — feat(harness): add scored-task feedback loop to governance chain (ztxtech, 2026-08-23)
  • 4ba6cee — chore(release): bump version to 1.0.1 (ztxtech, 2026-08-22)

🔭 What I'm Working On

AION Multi-Agent Protocols Skills License arXiv Code

AION is my flagship project: a time-series harness — a control layer that connects task specification, runtime execution, and result assessment into one stable process for next-generation time-series workloads. Built on top of OpenCode, with 4 layers (Task / Workspace / Execution / Review), 6 agents, 8 protocols, and 17 skills.

🧠 Research Directions

AGENT × TIME × UNCERTAINTY — research across three orthogonal axes that intersect in AION: build agents that operate on temporal evidence, and ground every claim in calibrated uncertainty.

🧰 Stack (2026 edition)

🪦 Retired from the README: Django, Flask, MATLAB, Photoshop, scikit-learn, seaborn, pandas, MySQL — the academic-era toolkit. They've been folded into the projects above (or quietly archived).

🌐 Find me elsewhere

🛰️ This README is kept in sync with my homepage via self-updating GitHub Actions — see .github/workflows (metrics · aion commits · snake · daily quote).

💬 Drift is the model's autobiography.

Last refreshed: 2026-08-24 (Australia/Melbourne)

Pinned Loading

  1. Time-Evidence-Fusion-Network Time-Evidence-Fusion-Network Public

    Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)

    Python 105 5

  2. dstz dstz Public

    A python package of evidence theory

    Python 10 1

  3. cep_ts cep_ts Public

    This is an official PyTorch implementation of "Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting"

    Python 12

  4. My-IELTS-subjective My-IELTS-subjective Public

    ztxtech的雅思主观题学习记录(2025年5月-8月)

    CSS 4

  5. ztxexp ztxexp Public

    ztxexp 是一个面向深度学习和大模型实验的抽象框架，目标是让实验迭代更快、更可复现

    Python 5

  6. winsw_GUI winsw_GUI Public

    A powerful and intuitive GUI for WinSW, making Windows service management easier than ever. 一个强大且直观的WinSW图形化管理工具。

    Python 7 3