Collective Intelligence: A Taxonomy and Survey. - Feijuan He; Yudai Pan; Qika Lin; Xianglin Miao; Zhouguo Chen (IEEE Access, 2019)

Jointly Optimized Neural Coreference Resolution with Mutual Attention. - Jie Ma 001; Jun Liu 002; Yufei Li 002; Xin Hu; Yudai Pan; Shen Sun; Qika Lin (WSDM, 2020)

Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. - Xin Hu; Jun Liu 002; Jie Ma 001; Yudai Pan; Lingling Zhang 005 (Neural Comput., 2020)

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Xin Hu; Tianzhe Zhao; Qika Lin (CoRR, 2021)

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan (CoRR, 2021)

Rule-enhanced iterative complementation for knowledge graph reasoning. - Qika Lin; Jun Liu 002; Yudai Pan; Lingling Zhang 005; Xin Hu; Jie Ma 001 (Inf. Sci., 2021)

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qika Lin; Xin Hu; Qianying Wang (EMNLP, 2022)

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. - Qika Lin; Jun Liu 002; Fangzhi Xu; Yudai Pan; Yifan Zhu 001; Lingling Zhang 005; Tianzhe Zhao (SIGIR, 2022)

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. - Fangzhi Xu; Jun Liu 002; Qika Lin; Yudai Pan; Lingling Zhang 005 (SIGIR, 2022)

Contrastive Graph Representations for Logical Formulas Embedding. - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (IEEE Trans. Knowl. Data Eng., 2023)

MoCA: Incorporating domain pretraining and cross attention for textbook question answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan; Yi Huang; Qianying Wang (Pattern Recognit., 2023)

Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Yi Huang (Knowl. Based Syst., 2023)

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (ICDE, 2024)

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Yun Lin 001; Jin Song Dong 001 (WWW, 2024)

Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Qianying Wang (IEEE Trans. Knowl. Data Eng., 2024)

Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Qika Lin; Yuxia Geng; Haiping Zhu; Yudai Pan; Jun Liu 002 (SIGIR, 2025)

Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. - Yudai Pan; Jiajie Hong; Tianzhe Zhao; Lingyun Song; Jun Liu 002; Xuequn Shang 001 (WWW, 2025)