Postdoctoral Researcher · BX Program (博新计划) · Shuimu Scholar @ Tsinghua University
Pioneering Hypergraph Computation, Knowledge Extraction and Representation, Retrieval-Augmented Generation (RAG), and Multi-Agent Systems (MAS).
🔎 I'm currently on the job market for faculty positions — feel free to reach out!
- 🎖️ Postdoctoral Innovation Talent Support Program (博新计划) (2026)
- 📜 CSIG Doctoral Dissertation Incentive Program (2026) - Nomination
- 🏆 Top 2% Scientist Worldwide (2024/2025)
- 🏅 Shuimu Scholar (水木学者) @ Tsinghua University (2025)
- 💎 Academic Rookie Award (学术新秀) @ Tsinghua University (2025) - Top 10 university-wide
- 🥈 Silver Medal @ International Exhibition of Inventions Geneva (2024)
- 🔥 Hyper-Extract — LLM-powered knowledge extraction & evolution framework. GitHub Trending #2 worldwide · 3300+ Stars
- 🧮 DeepHypergraph (DHG) — the first hypergraph computation toolbox (PyTorch-based). 870+ Stars · 50,000+ downloads · used by 200+ institutions across 24 countries
- 🗄️ Hypergraph-DB — a lightweight hypergraph database with built-in visualization
Published 40+ papers in international journals and conferences including Nature Communications, TPAMI (14 papers), CVPR, ICLR, and AAAI.
- 🔥 [Nature Communications] Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation (2026)
- 🛡️ [IEEE TPAMI] HGNN Shield: Defending Hypergraph Neural Networks Against High-Order Structure Attack (2026)
- 🌌 [IEEE TPAMI] Hypergraph Foundation Model (2026)
- 👁️ [IEEE TPAMI] Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation (2025) - Highly Cited
- 🧠 [IEEE TPAMI] HGNN+: Towards General Hypergraph Neural Networks (2022) - Highly Cited



