Keyu Duan - RankMe

20 papers A* 4A 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	In-Context Reinforcement Learning for Tool Use in Large Language Models. CoRR Yaoqi Ye, Yiran Zhao, Keyu Duan, Zeyu Zheng, Kenji Kawaguchi, Cihang Xie, Michael Qizhe Shieh
2025	J	`jnl`	Efficient Process Reward Model Training via Active Learning. CoRR Keyu Duan, Zichen Liu, Xin Mao, Tianyu Pang, Changyu Chen, Qiguang Chen, Michael Qizhe Shieh, Longxu Dou
2025	J	`jnl`	GEM: A Gym for Agentic LLMs. CoRR 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
2025	A*	`conf`	Unnatural Languages Are Not Bugs but Features for LLMs. ICML 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
2025	J	`jnl`	Unnatural Languages Are Not Bugs but Features for LLMs. CoRR 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
2024	J	`jnl`	GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
2024	A*	`conf`	Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. KDD Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang
2024	J	`jnl`	Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. CoRR Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang
2023	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2023	A*	`conf`	Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
2023	—	`conf`	Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
2023	J	`jnl`	SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
2022	A*	`conf`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	A	`conf`	Contrastive Knowledge Graph Error Detection. CIKM Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
2022	J	`jnl`	Contrastive Knowledge Graph Error Detection. CoRR Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
2021	J	`jnl`	A Comprehensive Survey on Transfer Learning. Proc. IEEE Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2021	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2019	J	`jnl`	A Comprehensive Survey on Transfer Learning. CoRR Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2019	J	`jnl`	Transfer Learning Toolkit: Primers and Benchmarks. CoRR Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He