🧑‍🔬 Jiaxuan You

🏛️ Affiliations

🎓University of Illinois Urbana-ChampaignUrbana · United States2023–2026 · 81 papersEmployment since 2024 · Assistant Professor, Siebel School of Computing and Data Sciencecurrent🎓University of Illinois SystemUrbana · United States2026 · 1 papercurrent🎓Stanford UniversityStanford · United States2017–2023 · 20 papers🎓Tsinghua UniversityBeijing · China2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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

📄 Papers

The most cited first (OpenAlex and our library).

1. MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents (2025 · 69 citations)
   Most existing agent benchmarks test a single LLM agent or a narrow domain. They therefore miss what happens when several agents must cooperate or compete. MultiAgentBench fills this gap with six interactive scenarios: jointly writing research papers, constructing structures in Minecraft, diagnosing faults in…
2. ResearchTown: Simulator of Human Research Community (2024 · 23 citations)
   Can a community of LLM agents reproduce how human scientists produce and assess research? The authors address this with ResearchTown, a multi-agent simulator that models a research community as an agent-data graph.
3. GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation (2025 · 10 citations)
   Using LLMs to judge research ideas is fragile. Their scores shift noticeably when the prompt is slightly reworded, they lean toward favourable verdicts, and they often miss factual errors buried inside an otherwise plausible idea.
4. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents (2025 · 8 citations)
   LLM-based "AI scientist" systems can now propose hypotheses, run tool-assisted experiments and draft papers. They may also comply with harmful requests or handle dangerous research topics carelessly. Most prior safety work targets single models rather than multi-agent research pipelines.

All works

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

1. Hierarchical graph representation learning with differentiable pooling ↗neural information processing systems · no summary yetZhitao Ying et al.2018 · 865 citations
2. GNNExplainer: Generating Explanations for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetRex Ying et al.2019 · 685 citations
3. Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiaxuan You et al.2017 · 566 citations
4. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2018 · 490 citations
5. Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2018 · 259 citations
6. ROLAND: Graph Learning Framework for Dynamic Graphs ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetJiaxuan You, Tianyu Du, Jure Leskovec2022 · 190 citations
7. Design Space for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You, Rex Ying, Jure Leskovec2020 · 176 citations
8. Identity-aware Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiaxuan You et al.2021 · 159 citations
9. Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems ↗arXiv:1904.04381 · no summary yetJiaxuan You et al.2019 · 127 citations
10. Handling Missing Data with Graph Representation Learning ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2020 · 101 citations
11. Position-aware Graph Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You, Rex Ying, Jure Leskovec2019 · 94 citations
12. MultiAgentBench: Evaluating the Collaboration and Competition of LLM agentsAnnual Meeting of the Association for Computational Linguistics (ACL)Kunlun Zhu, Hongyi Du, Zhaochen Hong, et al.2025 · 69 citations
13. Inductive Learning on Commonsense Knowledge Graph Completion ↗arXiv:2009.09263 · no summary yetBin Wang et al.2021 · 46 citations
14. Neural Subgraph Matching ↗arXiv (Cornell University) · no summary yetRex et al.2020 · 44 citations
15. ResearchTown: Simulator of Human Research CommunityarXiv:2412.17767Haofei Yu, Zhaochen Hong, Zirui Cheng, et al.2024 · 23 citations
16. Relational Deep Learning: Graph Representation Learning on Relational Databases ↗arXiv (Cornell University) · no summary yetMatthias Fey et al.2023 · 23 citations
17. G2SAT: Learning to Generate SAT Formulas ↗PubMed · no summary yetJiaxuan You et al.2019 · 23 citations
18. Graph Structure of Neural Networks ↗arXiv (Cornell University) · no summary yetJiaxuan You et al.2020 · 21 citations
19. Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning ↗Journal of Biomedical Informatics · no summary yetSajjad Fouladvand et al.2023 · 14 citations
20. GraphEval: A Lightweight Graph-Based LLM Framework for Idea EvaluationarXiv:2503.12600Tao Feng, Yihang Sun, Jiaxuan You2025 · 10 citations
21. Redundancy-Free Computation Graphs for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetZhihao Jia et al.2019 · 9 citations
22. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsarXiv:2505.23559Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.2025 · 8 citations
23. Relational Multi-Task Learning: Modeling Relations between Data and Tasks ↗arXiv (Cornell University) · no summary yetKaidi Cao, Jiaxuan You, Jure Leskovec2023 · 8 citations
24. Representation Learning for Frequent Subgraph Mining ↗arXiv (Cornell University) · no summary yetRex Ying et al.2024 · 4 citations
25. Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills ↗arXiv (Cornell University) · no summary yetJiang, Pengcheng et al.2025 · 3 citations

See all 28 works by Jiaxuan You →

🤝 Co-authors here

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

• Kunlun Zhu ×3
• Haofei Yu ×2
• Tao Feng ×2
• Zhaochen Hong ×2
• Cheng Qian
• Heng Ji
• Xiangru Tang
• Xiaocheng Yang
• Yue Su
• Zhe Wang
• Zhenhailong Wang

Venues

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

• Proceedings of the AAAI Conference on Artificial Intelligence ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
• Journal of Biomedical Informatics
• PubMed
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 1,541 times (of the 149,439 papers whose bibliographies we read); 343 citing papers with a page here →.

Updated 3 November 2026

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