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@hint-lab

H!NT Lab, Shanghai University

Human-Intelligence iNTegration Lab, Shanghai University

H!NT Lab

H!NT Lab (Human-Intelligence iNTegration Lab) is led by Dr. Hao Wang at the School of Computer Engineering and Science, Shanghai University, China. The lab focuses on exploring cutting-edge technologies for the deep integration of human intelligence and machine intelligence, dedicated to building more natural, efficient, and intelligent human-AI collaboration systems.

Research Areas

Our research centers on three core areas:

  • 🧠 Human-AI Cognitive Collaboration
  • 💡 Human-Computer Interaction
  • 📄 Natural Language Understanding

These three directions mutually support and synergistically develop: deep natural language understanding provides more natural communication methods for human-computer interaction, advanced interaction technologies make human-AI cognitive collaboration more efficient, and cognitive collaboration research in turn guides and optimizes language understanding and interaction design.


Led by: Dr. Hao Wang
Institution: School of Computer Engineering and Science, Shanghai University, China
Homepage: https://hint-lab.github.io/

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  1. deeptrans-studio deeptrans-studio Public

    DeepTrans Studio is a multi-agent intelligent translation platform for professional localization teams. It unifies a translation IDE, terminology and translation memory, AI‑assisted quality evaluat…

    TypeScript 1 2

  2. deepmed-search deepmed-search Public

    DeepMed Search is a deep research application for medical domain built with the Next.js App Router, featuring a unified interface for Web Search, LLM Introspection, PubMed, and Knowledge Base (KB) …

    TypeScript 5 1

  3. doctrack doctrack Public

    Dataset for EMNLP'23 Paper "DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading"

    11 1

  4. bert-relation-classification bert-relation-classification Public

    A pytorch implementation of BERT-based relation classification

    Python 150 23

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