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zihao-jing/README.md

Hi, I'm Zihao Jing 👋

MSc CS @ Western University · B.Eng. Software Engineering @ Beihang University

I work on structure-grounded multimodal reasoning — teaching LLMs to understand 2D/3D molecular graphs, spatial structures, and beyond. My research spans multimodal alignment, post-training, and scalable graph-LLM architectures.

Previously: LLM Research Intern @ SenseTime · AI Research Intern @ Jina AI

Research interests are in world models · agents · multimodal reasoning · post-training

🔬 Selected Publications

  • ICML 2026 — Scaling-Aware Adapter for Structure-Grounded LLM Reasoning
  • ICLR 2026 — Entropy-Guided Dynamic Tokens for Graph-LLM Alignment
  • NeurIPS 2025 — Structure-Aware Fusion with Progressive Injection for Molecular Representation

Homepage · Google Scholar

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  1. EGTLM EGTLM Public

    Built in SenseTime in 2024. Training and evaluation code of EGTLM model. A model that can do text generation and text embedding tasks simultaneously.

    Python 21

  2. piccolo-gpt piccolo-gpt Public

    Built in SenseTime in 2024. Advanced embedding model training pipeline based on large language models.

    Python

  3. MuMo MuMo Public

    Official repo of the paper "Multimodal Molecular Representation Learning via Structural Fusion and Progressive Injection"

    Python 4

  4. EDT-Former EDT-Former Public

    Dynamic Q-Former, a brige for LLM and graph data. Entropy-guided Dynamic Token Transformer for Graph-LLM alignment. Accepted at ICLR 2026.

    Python 1

  5. Cuttlefish Cuttlefish Public

    Offical repo for work "Scaling-Aware Adapter for Structure-Grounded LLM Reasoning", model Cuttlefish, accepted by ICML 2026.

    Python

  6. ICG-MAS ICG-MAS Public

    Task-side evaluation of communication necessity in multi-agent systems under distributed evidence.

    Python