Keyu Duan

According to our database, Keyu Duan authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

In-Context Reinforcement Learning for Tool Use in Large Language Models.

Yaoqi Ye, Yiran Zhao, Keyu Duan, Zeyu Zheng, Kenji Kawaguchi, Cihang Xie, Michael Qizhe Shieh

CoRR, March, 2026

2025

GEM: A Gym for Agentic LLMs.

Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin

CoRR, October, 2025

Efficient Process Reward Model Training via Active Learning.

Keyu Duan, Zichen Liu, Xin Mao, Tianyu Pang, Changyu Chen, Qiguang Chen, Michael Qizhe Shieh, Longxu Dou

CoRR, April, 2025

Unnatural Languages Are Not Bugs but Features for LLMs.

Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh

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

2024

GraphFM: A Comprehensive Benchmark for Graph Foundation Model.

Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan

CoRR, 2024

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.

Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning.

Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He

CoRR, 2023

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.

Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang

Proceedings of the ACM Web Conference 2023, 2023

Interest Driven Graph Structure Learning for Session-Based Recommendation.

Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Knowledge Graph Error Detection.

Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Comprehensive Survey on Transfer Learning.

Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He

Proc. IEEE, 2021

2019

Transfer Learning Toolkit: Primers and Benchmarks.

Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He

CoRR, 2019