Wang Haofen

Distinguished Researcher, Doctoral Supervisor

College of Design and Innovation, Tongji University

Haofen Wang is a research fellow and doctoral supervisor at the College of Design and Innovation, Tongji University. His research focuses on knowledge graphs, natural language processing, retrieval-augmented generation, and knowledge-enhanced large language models. He leads the Knowledge Computing Lab at Tongji University, and is the leading founder of OpenKG, which is the largest Chinese knowledge graph community in the world. Currently, he holds important academic roles with the China Computer Federation (CCF), the Chinese Information Processing Society of China (CIPS), and the Shanghai Computer Federation, and has served as long-term PC member and reviewers for top journals and conferences on knowledge graphs and artificial intelligence, including AAAI, ACM MM, ICLR, IJCAI, IPM, ISWC, JWS, KBS, KDD, NeurIPS, TKDE, TNNLS, TOIS, WWW. Before joining Tongji, he served as CTO in leading AI companies, where he led a team in building an intelligent customer service robot based on knowledge graphs, that has served over 1 billion end-users. He has host several national natural science foundation projects , including one National Natural Science Key Project, 863 major projects, and relevant projects supported by the Ministry of Science and Technology. He has published over 100 high-level papers with over 12,372 citations, with a single paper cited over 6,340 times, five books on knowledge graphs, with the book "Knowledge Graph Methods, Practices, and Applications" winning the 2019 Publication Award of Professional Category of 2020 China Industry and Information Technology Publishing& Media Group (4/8000).

Research Interests

Education

Work Experience

Teaching

Research Projects

Publications

In the past five years, 90 papers have been published, including 50+ high-level papers in CCF-A/B or CAS Tier 1/2 journals and conferences. Total Google Scholar citations: 12,372; highest single-paper citations: 6,340. [Selected Recent Papers]

Monographs

Granted Patents

Open Source Projects

OpenKG [link]

OpenKG is the world's largest Chinese open knowledge graph community, promoting the open-sourcing of high-quality datasets, open-source tools, open-source models, and open benchmarks.

OpenKG

KAG [link]

KAG is a stable and efficient reasoning framework for enterprise-grade applications; includes the world's first interactive deep-reasoning open-source model KAG-Thinker; deployed across Ant Group and industries including healthcare and finance; over 10,000 GitHub Stars.

KAG

MemOS [link]

MemOS is a memory-native operating system for large language models, supporting automated conversion among explicit memory, activation memory, and parametric memory, as well as multi-granularity memory scheduling; over 9,000 GitHub Stars; 1,000,000 daily calls.

MemOS

KaLM Embedding[link]

KaLM-Embedding is a lightweight and efficient multilingual knowledge embedding model achieving state-of-the-art performance on embedding benchmarks; over 1 million total downloads on Hugging Face.

KALM

JoyAgent[link]

JoyAgent is a general-purpose multi-agent platform developed in collaboration with JD.com, supporting full lifecycle management, scheduling, monitoring, and orchestration of agents.

JoyAgent

AI-Ceping [link]

AI-Ceping is a crowdsourcing platform for large model evaluation with 300,000 monthly active users.

AI-Ceping

Awards and Honors

Academic Roles

Guest Editor Roles

Selected Talks