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  • Jiangnan University
  • No. 1800, Lihu Avenue, Wuxi, 214122, P. R. China
  • 04:33 (UTC +08:00)

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unumbrela/README.md
Hi, I’m Zihao — state-space models, neuro-symbolic reasoning & AI for Science.

Personal website ↗ · English · 简体中文

Undergraduate · Jiangnan University — 2023–2027 · In progress
PhD · University of Science and Technology of China · AIDS — Incoming Sep 2027

Google Scholar ↗   ·   Email ↗   ·   WeChat   ·   QQ

Working on state-space models, neuro-symbolic reasoning, and AI for Science. Looking ahead: LLMs & scientific agents.

Research

FWMamba-UNet · Frequency-Wavelet Enhanced Mamba UNet for Medical Image Segmentation
ICIC 2026 · Oral   ·   First author   ·   Paper ↗   ·   Code ↗

FWMamba-UNet architecture: frequency-wavelet enhanced state-space segmentation

Extract-Then-Compile · Reliable Neuro-Symbolic Planning for Large Language Models
ICIC 2026 · Oral   ·   First author   ·   Paper ↗   ·   Code · coming soon ↗

Extract-Then-Compile: language extraction and deterministic constraint solving

RA-Det · Towards Universal Detection of AI-Generated Images via Robustness Asymmetry
ICML 2026   ·   Fifth author   ·   Paper ↗   ·   arXiv ↗

RA-Det framework: robustness probing and asymmetry features

MambaGuard · A CLIP-Mamba Approach for OOD Generated Image Detection
PRCV 2025   ·   Co-first author   ·   Paper ↗   ·   Code ↗

MambaGuard framework: CLIP-Mamba and spectral feature refinement

Projects

AMP-Forge · De novo antimicrobial peptide design
iGEM 2025 · Gold Medal   ·   Dry-Lab Lead

Independently built a peptide-design platform with protein language models, a VAE, and latent diffusion. 25,622 peptides / 6 databases, predictor PCC = 0.90; multiple variants outperformed the original sequence in wet-lab validation.

Project details ↗   ·   Code ↗

Methods & tools

State-space models   Neuro-symbolic planning   Protein language models   Latent diffusion   PyTorch

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