YihongT/CoAutoResearch
An open-source research system for autonomous investigation, recursive self-improvement, and human–AI collaboration. Run experiments, refine methods through evidence and feedback, and turn traceable research into paper drafts.
Multimodal Agents & Generative Models
An open-source research system for autonomous investigation, recursive self-improvement, and human–AI collaboration. Run experiments, refine methods through evidence and feedback, and turn traceable research into paper drafts.
[EMNLP 2024 Industry Track & KDD UrbComp 2024 Best Paper Award] ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models [Transportation Research Part C]
[EMNLP 2025 & IJCAI MKLM 2025 Best Paper Award] Source codes of EMNLP 2025 Paper "Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning"
[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
multi-agent evolution organization for autoresearch and more
[IEEE TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.
few-shot models for short-term traffic prediction