Yuan Li

According to our database, Yuan Li authored at least 30 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Yuan Li, Zhengzhong Liu, Eric P. Xing

CoRR, August, 2025

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

Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen

CoRR, July, 2025

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

Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He

CoRR, July, 2025

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

Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He

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

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

Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, June, 2025

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

Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He

CoRR, March, 2025

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

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang

CoRR, February, 2025

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

Yuan Li, Lichao Sun, Yixuan Zhang

Proc. ACM Hum. Comput. Interact., 2025

2024

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

Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong

CoRR, 2024

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

Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He

CoRR, 2024

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

Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun

CoRR, 2024

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

Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun

CoRR, 2024

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

Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun

CoRR, 2024

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

Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun

CoRR, 2024

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

Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann

Proceedings of the ACM on Web Conference 2024, 2024

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

Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He

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?

Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun

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.

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He

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

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

Yuan Li, Yixuan Zhang, Lichao Sun

CoRR, 2023

2022

Learning both Expert and Universal Knowledge using Transformers.

Yuan Li

PhD thesis, 2022

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

Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He

ACM Trans. Intell. Syst. Technol., 2022

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

Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang

Proc. VLDB Endow., 2022

elBERto: Self-supervised commonsense learning for question answering.

Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin

Knowl. Based Syst., 2022

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

Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang

CoRR, 2022

2020

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

Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing

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.

Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao

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

Complementary Auxiliary Classifiers for Label-Conditional Text Generation.

Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao

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

2018

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

Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

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.

Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

CoRR, 2017