🧑‍🔬 Cheng Hong Yang

🏛️ Affiliations

🎓Beijing University of Posts and TelecommunicationsBeijing · China2008–2026 · 96 paperscurrent🎓Zhejiang UniversityHangzhou · China2006–2026 · 6 paperscurrent🎓Central South UniversityChangsha · China2025–2026 · 4 paperscurrent🎓Xinjiang UniversityÜrümqi · China2023–2026 · 2 paperscurrent🎓Hangzhou City UniversityHangzhou2026 · 1 papercurrent🎓Hangzhou Dianzi UniversityHangzhou · China2026 · 1 papercurrent🎓Zhejiang University of Science and TechnologyHangzhou · China2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2011–2024 · 35 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing · China2011–2020 · 7 papers🎓Hokkaido UniversitySapporo · Japan2022–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 56 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. ChatDev: Communicative Agents for Software Development (2023 · 385 citations)
   Applying deep learning to software engineering has mostly meant building a separate model for each waterfall stage, such as design, coding, or testing.
2. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification (2019 · 289 citations)
   Fact verification (FV) means judging a claim as SUPPORTED, REFUTED or NOT ENOUGH INFO using sentences retrieved from Wikipedia.
3. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors (2023 · 217 citations)
   Single LLM-driven agents such as AutoGPT can handle many tasks alone. Earlier multi-agent studies, however, were tied to narrow tasks and fixed agent roles. AgentVerse is a general framework, modelled on how human teams solve problems, in which a group of LLM agents works through repeated rounds, formalised as a…
4. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection (2026 · 1 citation)
   Distilling long Chain-of-Thought (CoT) traces from strong reasoning models into small models often works poorly.
5. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing (2026)
   Building LLM-based multi-agent systems (MAS) as directed graphs in tools like LangGraph or Dify still takes a lot of manual work.

All works

13 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Graph neural networks: A review of methods and applications ↗AI Open · no summary yetJie Zhou et al.2018 · 6,904 citations
2. ChatDev: Communicative Agents for Software DevelopmentarXiv:2307.07924Chen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 385 citations
3. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Zhou, Xu Han, Cheng Yang, et al.2019 · 289 citations
4. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsarXiv:2308.10848Weize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 217 citations
5. Graph Neural News Recommendation with Unsupervised Preference Disentanglement ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetLinmei Hu et al.2020 · 146 citations
6. Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetCheng Yang et al.2018 · 74 citations
7. Improving Distantly-Supervised Relation Extraction with Joint Label Embedding ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetLinmei Hu et al.2019 · 63 citations
8. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionFindings of the Association for Computational LinguisticsZhuoyang Wu, Xinze Li, Zhenghao Liu, et al.2026 · 1 citation
9. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe GraphingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Jinxuan Cai, Yishen Li, et al.2026
10. From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetBeining Wu et al.2026
11. MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHaidong Xin et al.2026
12. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetCheng Yang et al.2026
13. ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhiyuan Yao et al.2026

🤝 Co-authors here

12 of 27 co-authors with a page, the most papers together first.

• Chen Qian ×3
• Maosong Sun ×2
• Weize Chen ×2
• Xin Cong ×2
• Yusheng Su ×2
• Zhiyuan Liu ×2
• Changcheng Li
• Chenfei Yuan
• Chi-Min Chan
• Chuan Shi
• Ge Yu
• Jiahao Li

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL) ×4: ACL 2026, ACL 2019
• Findings of the Association for Computational Linguistics: ACL 2026 ×3
• ACM Computing Surveys
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• AI Open
• Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

🔗 Cited by

Papers of our library cite their works 978 times (of the 149,439 papers whose bibliographies we read); 153 citing papers with a page here →.

Updated 1 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/