Chen Gao
Chen Gao has 3 papers in our library, in 2024–2026, most of them on Reasoning, Vision & language; often with Quanjun Yin, Yong Li, Zhengqiu Zhu.
OpenAlex · ORCID · Wikidata · h-index 32 · 138 works · 5,545 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 115 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7022
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksDecision Sciences · 1 workEconomics and Econometrics · 1 workEconomics, Econometrics and Finance · 1 workManagement Science and Operations Research · 1 workAutomotive Engineering · 1 workComputer Vision and Pattern Recognition · 1 workEngineering · 1 workComputer Networks and Communications · 1 work
🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workVision & language · 1 work
Works by year
2020s
Papers
- EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities (2024 · 86 citations)
Agent-based models (ABM) of the economy usually drive households with hand-written rules or trained neural networks. - CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments (2026 · 1 citation)
Vision-language models increasingly act as the reasoning core of embodied agents such as drones, robots and self-driving cars. - Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution (2026)
Real-world constraint optimization problems (COPs) are often NP-hard. Hard constraints split the feasible region into fragments, so LLM-driven algorithm-design systems such as EoH, ReEvo and FunSearch get little useful feedback once feasible solutions become rare. The authors propose AutoCO, which makes the LLM an…
All works
- Sequential Recommendation with Graph Neural Networks ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetJianxin Chang et al.2021 · 442 citations
- Multi-behavior Recommendation with Graph Convolutional Networks ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetBowen Jin et al.2020 · 422 citations
- Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives ↗arXiv:2312.11970 · no summary yetChen Gao et al.2023 · 344 citations
- EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic ActivitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Nian Li, Chen Gao, Mingyu Li, et al.2024 · 86 citations
- CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Haotian Xu, Yue Hu, Zhengqiu Zhu, et al.2026 · 1 citation
- Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional CoevolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Beidan Liu, Zhengqiu Zhu, Chen Gao, et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×2, ACL 2024
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
Cited by
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