Transfer Learning Toolkit: Primers and Benchmarks. - Fuzhen Zhuang; Keyu Duan; Tongjia Guo; Yongchun Zhu; Dongbo Xi; Zhiyuan Qi; Qing He 003 (CoRR, 2019)

A Comprehensive Survey on Transfer Learning. - Fuzhen Zhuang; Zhiyuan Qi; Keyu Duan; Dongbo Xi; Yongchun Zhu; Hengshu Zhu; Hui Xiong 001; Qing He 003 (Proc. IEEE, 2021)

Contrastive Knowledge Graph Error Detection. - Qinggang Zhang; Junnan Dong; Keyu Duan; Xiao Huang 001; Yezi Liu; Linchuan Xu (CIKM, 2022)

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. - Keyu Duan; Zirui Liu 001; Peihao Wang; Wenqing Zheng; Kaixiong Zhou; Tianlong Chen 001; Xia Hu 001; Zhangyang Wang (NeurIPS, 2022)

Interest Driven Graph Structure Learning for Session-Based Recommendation. - Huachi Zhou; Shuang Zhou 012; Keyu Duan; Xiao Huang 001; Qiaoyu Tan; Zailiang Yu (PAKDD (3), 2023)

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. - Junnan Dong; Qinggang Zhang; Xiao Huang 001; Keyu Duan; Qiaoyu Tan; Zhimeng Jiang (WWW, 2023)

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. - Keyu Duan; Qian Liu 012; Tat-Seng Chua; Shuicheng Yan; Wei Tsang Ooi; Qizhe Xie; Junxian He (CoRR, 2023)

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. - Tianlong Chen 001; Kaixiong Zhou; Keyu Duan; Wenqing Zheng; Peihao Wang; Xia Hu 001; Zhangyang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. - Qinggang Zhang; Keyu Duan; Junnan Dong; Pai Zheng; Xiao Huang 001 (KDD, 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)

Unnatural Languages Are Not Bugs but Features for LLMs. - Keyu Duan; Yiran Zhao 006; Zhili Feng; Jinjie Ni; Tianyu Pang; Qian Liu 012; Tianle Cai; Longxu Dou; Kenji Kawaguchi; Anirudh Goyal; J. Zico Kolter; Michael Qizhe Shieh (CoRR, 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, 2025)