Yuan Li

Orcid: 0009-0001-5678-3185

Affiliations:

Duke University, Durham, NC, USA (PhD 2022)

According to our database¹, Yuan Li authored at least 34 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection.

[BibT_eX]

[DOI]

CoRR, January, 2026

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification.

[BibT_eX]

[DOI]

CoRR, July, 2025

A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2025

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.

[BibT_eX]

[DOI]

CoRR, June, 2025

RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs.

[BibT_eX]

[DOI]

CoRR, March, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2025

MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming.

[BibT_eX]

[DOI]

Yuan Li

Lichao Sun

Yixuan Zhang

Proc. ACM Hum. Comput. Interact., 2025

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models.

[BibT_eX]

[DOI]

Yuan Li

Zhengzhong Liu

Eric P. Xing

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adapting Precomputed Features for Efficient Graph Condensation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

FedGraph: A Research Library and Benchmark for Federated Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2024

A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading.

[BibT_eX]

[DOI]

CoRR, 2024

Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?

[BibT_eX]

[DOI]

CoRR, 2024

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

[BibT_eX]

[DOI]

CoRR, 2024

I Think, Therefore I am: Awareness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents.

[BibT_eX]

[DOI]

Yuan Li

Yixuan Zhang

Lichao Sun

CoRR, 2023

2022

Learning both Expert and Universal Knowledge using Transformers.

[BibT_eX]

[DOI]

Yuan Li

PhD thesis, 2022

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

elBERto: Self-supervised commonsense learning for question answering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version).

[BibT_eX]

[DOI]

CoRR, 2022

2020

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Complementary Auxiliary Classifiers for Label-Conditional Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

Yuan Li

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...