SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. - Wei Dai 003; Joseph Doyle; Xiaodan Liang; Hao Zhang 025; Nanqing Dong; Yuan Li 032; Eric P. Xing (CoRR, 2017)

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. - Yuan Li 032; Xiaodan Liang; Zhiting Hu; Eric P. Xing (NeurIPS, 2018)

Complementary Auxiliary Classifiers for Label-Conditional Text Generation. - Yuan Li 032; Chunyuan Li; Yizhe Zhang 002; Xiujun Li; Guoqing Zheng; Lawrence Carin; Jianfeng Gao 001 (AAAI, 2020)

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. - Chunyuan Li; Xiang Gao 011; Yuan Li 032; Baolin Peng; Xiujun Li; Yizhe Zhang 002; Jianfeng Gao 001 (EMNLP (1), 2020)

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. - Hao Zhang 025; Yuan Li 032; Zhijie Deng; Xiaodan Liang; Lawrence Carin; Eric P. Xing (NeurIPS, 2020)

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). - Jiaxin Jiang; Yuan Li 032; Bingsheng He; Bryan Hooi; Jia Chen; Johan Kok Zhi Kang (CoRR, 2022)

elBERto: Self-supervised commonsense learning for question answering. - Xunlin Zhan; Yuan Li 032; Xiao Dong; Xiaodan Liang; Zhiting Hu; Lawrence Carin (Knowl. Based Syst., 2022)

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. - Jiaxin Jiang; Yuan Li 032; Bingsheng He; Bryan Hooi; Jia Chen; Johan Kok Zhi Kang (Proc. VLDB Endow., 2022)

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. - Sixu Hu; Yuan Li 032; Xu Liu 014; Qinbin Li; Zhaomin Wu; Bingsheng He (ACM Trans. Intell. Syst. Technol., 2022)

Learning both Expert and Universal Knowledge using Transformers. - Yuan Li 032 (2022)

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents. - Yuan Li 032; Yixuan Zhang 001; Lichao Sun 001 (CoRR, 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 032; Xu Liu 014; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2023)

1+1 textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? - Yue Huang 001; Chenrui Fan; Yuan Li 032; Siyuan Wu 001; Tianyi Zhou 001; Xiangliang Zhang 001; Lichao Sun 001 (EMNLP, 2024)

CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. - Yuan Li 032; Bingqiao Luo; Qian Wang 002; Nuo Chen 002; Xu Liu 014; Bingsheng He (EMNLP, 2024)

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. - Yue Huang 001; Jiawen Shi; Yuan Li 032; Chenrui Fan; Siyuan Wu 001; Qihui Zhang; Yixin Liu 002; Pan Zhou 001; Yao Wan 001; Neil Zhenqiang Gong; Lichao Sun 001 (ICLR, 2024)

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. - Xu Liu 014; Junfeng Hu 001; Yuan Li 032; Shizhe Diao; Yuxuan Liang; Bryan Hooi; Roger Zimmermann (WWW, 2024)

I Think, Therefore I am: Awareness in Large Language Models. - Yuan Li 032; Yue Huang 001; Yuli Lin; Siyuan Wu 001; Yao Wan 001; Lichao Sun 001 (CoRR, 2024)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. - Yixin Liu 002; Kai Zhang 039; Yuan Li 032; Zhiling Yan; Chujie Gao; Ruoxi Chen; Zhengqing Yuan; Yue Huang 001; Hanchi Sun; Jianfeng Gao 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? - Yue Huang 001; Chenrui Fan; Yuan Li 032; Siyuan Wu 001; Tianyi Zhou 001; Xiangliang Zhang 001; Lichao Sun 001 (CoRR, 2024)

Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. - Yuan Li 032; Yue Huang 001; Hongyi Wang 001; Xiangliang Zhang 001; James Zou 001; Lichao Sun 001 (CoRR, 2024)

A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. - Yuan Li 032; Bingqiao Luo; Qian Wang 002; Nuo Chen 002; Xu Liu 014; Bingsheng He (CoRR, 2024)

FedGraph: A Research Library and Benchmark for Federated Graph Learning. - Yuhang Yao; Yuan Li 032; Xinyi Fan; Junhao Li; Kay Liu; Weizhao Jin; Srivatsan Ravi; Philip S. Yu; Carlee Joe-Wong (CoRR, 2024)

MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming. - Yuan Li 032; Lichao Sun 001; Yixuan Zhang 001 (Proc. ACM Hum. Comput. Interact., 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. - Yuan Li 032; Jun Hu 016; Jiaxin Jiang; Zemin Liu; Bryan Hooi; Bingsheng He (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu 002; Kun Zhou; et al. (CoRR, 2025)

A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. - Zemin Liu; Yuan Li 032; Nan Chen; Qian Wang 002; Bryan Hooi; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2025)

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification. - Jun Hu 016; Yufei He; Yuan Li 032; Bryan Hooi; Bingsheng He (CoRR, 2025)

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. - Yuan Li 032; Jun Hu 016; Bryan Hooi; Bingsheng He; Cheng Chen 008 (CoRR, 2025)

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. - Yuan Li 032; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2025)