Yuan Li - RankMe

43 papers A* 12Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection. CoRR Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026	A*	`conf`	DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. AAAI Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026	A*	`conf`	Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. AAAI Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026	A*	`conf`	NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification. AAAI Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	J	`jnl`	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. IEEE Trans. Knowl. Data Eng. Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
2025	A*	`conf`	Adapting Precomputed Features for Efficient Graph Condensation. ICML Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He
2025	J	`jnl`	DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. CoRR Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2025	A*	`conf`	Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. ICML Yuan Li, Zhengzhong Liu, Eric P. Xing
2025	J	`jnl`	Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. CoRR Yuan Li, Zhengzhong Liu, Eric P. Xing
2025	J	`jnl`	Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. CoRR Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	J	`jnl`	MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming. Proc. ACM Hum. Comput. Interact. Yuan Li, Lichao Sun, Yixuan Zhang
2025	J	`jnl`	NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification. CoRR Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR 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
2025	J	`jnl`	RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. CoRR Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He
2025	J	`jnl`	Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. CoRR 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
2024	J	`jnl`	1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? CoRR Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024	A*	`conf`	1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024	J	`jnl`	A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. CoRR Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He
2024	A*	`conf`	CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. EMNLP Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He
2024	J	`jnl`	FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong
2024	J	`jnl`	I Think, Therefore I am: Awareness in Large Language Models. CoRR Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun
2024	A*	`conf`	MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2024	J	`jnl`	Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
2024	J	`jnl`	Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun
2024	A*	`conf`	UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
2023	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
2023	J	`jnl`	MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents. CoRR Yuan Li, Yixuan Zhang, Lichao Sun
2023	J	`jnl`	MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2023	J	`jnl`	UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2022	—	`—`	Learning both Expert and Universal Knowledge using Transformers. Yuan Li
2022	J	`jnl`	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). CoRR Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
2022	J	`jnl`	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. Proc. VLDB Endow. Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
2022	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2022	J	`jnl`	elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
2022	J	`jnl`	elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
2020	A*	`conf`	AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing
2020	A*	`conf`	Complementary Auxiliary Classifiers for Label-Conditional Text Generation. AAAI Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao
2020	—	`conf`	Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. EMNLP (1) Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao
2020	J	`jnl`	Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. CoRR Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao
2020	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2018	A*	`conf`	Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. NeurIPS Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
2017	J	`jnl`	SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing