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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:        Graduate
affiliation: University of Electronic Science and Technology of China (UESTC)
location:    Chengdu, China 🇨🇳
status:      "Graduate from UESTC ↓"
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.

🔭 Recently graduated from UESTC, 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)
  • 9ce5b6b — feat: add persistent Frontier recovery for premature Goal closure (ztxtech, 2026-10-13)
  • 0cffced — fix: resume AION after premature goal closure (ztxtech, 2026-10-13)
  • 1e202be — feat: persist AION task state and resume session loops (ztxtech, 2026-10-13)
  • ed8fc5c — fix: scope AION hooks to AION agents (ztxtech, 2026-10-13)
  • 270a762 — fix: prioritize active tasks on AION board (ztxtech, 2026-10-13)
  • 1709cbf — feat: adopt OpenCode V2 plugin on master (ztxtech, 2026-10-12)
  • b0ca149 — fix: align gap report example with threshold (ztxtech, 2026-10-12)
  • e42e33c — fix: align goal and self-purify contracts (ztxtech, 2026-10-12)

🔭 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).

💬 Time series are 80% assumptions and 20% numerics.

Last refreshed: 2026-10-16 (Asia/Shanghai)

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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  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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    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。

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