🧑‍🔬 Jianwen Zhang

🏛️ Affiliations

🎓China University of Geosciences (Beijing)Beijing · China2025–2026 · 3 paperscurrent🏢Microsoft Research AsiaBeijing · China2012–2014 · 7 papers🏢MicrosoftRedmond · United States2013–2019 · 6 papers🎓Southwest University of Political Science & LawChongqing · China2009–2012 · 6 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing · China2009–2011 · 6 papers🎓Tsinghua UniversityBeijing · China2009–2011 · 6 papers🎓National University of SingaporeSingapore · Singapore2003–2017 · 5 papersEducation 2003–2008 · Ph.D., electrical and computer engineeringEmployment 2010–2016 · Lecturer, electrical and computer engineeringEmployment since 2017 · Senior Lecturer, Electrical and Computer Engineering🎓Harbin Institute of TechnologyHarbin · China2009–2024 · 2 papers🎓City University of Hong KongHong Kong · China2013–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Knowledge Graph and Text Jointly Embedding (2014 · 461 citations)
   Embedding methods for knowledge graph completion, such as TransE, can only score a candidate fact when both entities already exist in the graph.
2. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle (2024 · 13 citations)
   The report describes how Microsoft made its Phi-3 family of small language models safer. These models are compact enough for on-device use, so they reach many users and contexts. The team used an iterative "break-fix" loop with five stages. First, they built safety data: public datasets that were cleaned up, partly…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Knowledge Graph and Text Jointly EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wang, Jianwen Zhang, Jianlin Feng, et al.2014 · 461 citations
2. Aligning Knowledge and Text Embeddings by Entity Descriptions ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetHuaping Zhong et al.2015 · 182 citations
3. Entity Disambiguation by Knowledge and Text Jointly Embedding ↗Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning · no summary yetWei Fang et al.2016 · 102 citations
4. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" CyclearXiv:2407.13833Emman Haider, Daniel Perez-Becker, Thomas Portet, et al.2024 · 13 citations

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Atabak Ashfaq
• Dongwoo Kim
• Zhen Wang
• Zheng Chen
• Ziyi Yang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2014
• Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning

🔗 Cited by

Papers of our library cite their works 1,088 times (of the 149,439 papers whose bibliographies we read); 169 citing papers with a page here →.

Updated 31 October 2026

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