🧑‍🔬 Zhichun Wang

🏛️ Affiliations

🏛️Chinese Academy of SciencesBeijing · China2003–2026 · 48 paperscurrent🔬Northeast Institute of Geography and AgroecologyChangchun · China2003–2026 · 45 paperscurrent🎓China Pharmaceutical UniversityNanjing · China2026 · 1 papercurrent🔬State Key Laboratory of Natural MedicineNanjing2026 · 1 papercurrent🎓Beijing Normal UniversityBeijing · China2012–2025 · 31 papers🎓Inner Mongolia University of Science and TechnologyBaotou · China2005–2025 · 13 papers🔬China Electric Power Research InstituteBeijing2016–2025 · 10 papers🎓University of TwenteEnschede · Netherlands2001–2004 · 8 papers🎓Tsinghua UniversityBeijing · China2010–2013 · 6 papers🎓Nanjing Agricultural UniversityNanjing · China2006–2010 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 33 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. Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks (2018 · 685 citations)
   Multilingual knowledge graphs such as DBpedia and YAGO describe entities in several languages, but many entities lack cross-lingual links to their counterparts in other languages.
2. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning (2026 · 7 citations)
   LLMs with strong reasoning skills still hallucinate on knowledge-heavy questions. Prompt-driven multi-step RAG pipelines also tend to choose poorly when and what to retrieve, and they keep reasoning and retrieval only loosely connected.
3. CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering (2026)
   LLMs used as tutors usually return one explanation regardless of who asks. A fourth-grader and a high-schooler need different reasoning for the same problem. Existing education benchmarks give different questions to different grades, so they cannot separate problem difficulty from how well a model adapts its…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Cross-lingual Knowledge Graph Alignment via Graph Convolutional NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.2018 · 685 citations
2. Knowledge Graph Alignment with Entity-Pair Embedding ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetZhichun Wang, Jinjian Yang, Xiaoju Ye2020 · 59 citations
3. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
4. CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question AnsweringFindings of the Association for Computational LinguisticsTong Lu, Zhichun Wang, Yuanhao Sun, et al.2026

🤝 Co-authors here

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

• Dingling Xu
• Qingsong Lv
• Ruobing Wang
• Xin Wang
• Yu Zhang

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 2018
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

🔗 Cited by

Papers of our library cite their works 77 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026

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