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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)

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📡 Latest commits on aion (the harness)
  • 6af5157 — docs(readme): link to oc-conf branch for legacy Markdown config (ztxtech, 2026-06-20)
  • 871a9e5 — fix(tests): adapt critic dispatch tests to string instructions format (ztxtech, 2026-06-18)
  • 5639007 — docs(devnotes): add commit entry for v0.7.3 skill tool change (ztxtech, 2026-06-18)
  • 7ed830f — chore(release): bump to v0.7.3 (ztxtech, 2026-06-18)
  • 79a88a1 — feat(agents): grant skill tool to subagents for on-demand loading (ztxtech, 2026-06-18)
  • a3fd4c3 — docs(readme): remove v0.7.2 news entry (ztxtech, 2026-06-18)
  • 639beb4 — docs(devnotes): add commit entries for v0.7.0–v0.7.2 releases (ztxtech, 2026-06-18)
  • 30ff2c4 — chore(release): bump to v0.7.2 (ztxtech, 2026-06-18)

🔭 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).

💬 An agent without uncertainty is just a confident hallucinator.

Last refreshed: 2026-06-22 (Australia/Melbourne)

Pinned Loading

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

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  2. dstz dstz Public

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  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"

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    ztxtech的雅思主观题学习记录(2025年5月-8月)

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