Knowledge Representation Learning via Dynamic Relation Spaces. - Zhen Tan; Xiang Zhao 002; Yang Fang 001; Weidong Xiao; Jiuyang Tang (ICDM Workshops, 2016)

Content-Based Top-N Recommendation using Heterogeneous Relations. - Yifan Chen 003; Xiang Zhao 002; Junjiao Gan; Junkai Ren; Yang Fang 001 (CoRR, 2016)

Deep keyphrase generation with a convolutional sequence to sequence model. - Yong Zhang; Yang Fang 001; Weidong Xiao (ICSAI, 2017)

TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism. - Yang Fang 001; Xiang Zhao 002; Zhen Tan; Weidong Xiao (IEEE Access, 2018)

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding. - Yang Fang 001; Xiang Zhao 002; Zhen Tan; Weidong Xiao (IEEE Access, 2018)

Title-Based Extraction of News Contents for Text Mining. - Zhen Tan; Chunhui He; Yang Fang 001; Bin Ge; Weidong Xiao (IEEE Access, 2018)

GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces. - Zhen Tan; Xiang Zhao 002; Yang Fang 001; Weidong Xiao (IEEE Access, 2018)

Knowledge Graph Representation via Similarity-Based Embedding. - Zhen Tan; Xiang Zhao 002; Yang Fang 001; Bin Ge; Weidong Xiao (Sci. Program., 2018)

Network Embedding via a Bi-Mode and Deep Neural Network Model. - Yang Fang 001; Xiang Zhao 002; Zhen Tan; Weidong Xiao (Symmetry, 2018)

M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. - Yang Fang 001; Xiang Zhao 002; Peixin Huang; Weidong Xiao; Maarten de Rijke (SIGIR, 2019)

Fine Grained Named Entity Recognition via Seq2seq Framework. - Huiming Zhu; Chunhui He; Yang Fang 001; Weidong Xiao (IEEE Access, 2020)

Exploring Heterogeneous Information Networks via Pre-Training. - Yang Fang 001; Xiang Zhao 002; Weidong Xiao (CoRR, 2020)

Patent Automatic Classification Based on Symmetric Hierarchical Convolution Neural Network. - Huiming Zhu; Chunhui He; Yang Fang 001; Bin Ge; Meng Xing; Weidong Xiao (Symmetry, 2020)

Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training. - Peixin Huang; Xiang Zhao 002; Minghao Hu; Yang Fang 001; Xinyi Li 001; Weidong Xiao (ACL (Findings), 2022)

Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. - Qiuyu Guo; Xiang Zhao 002; Yang Fang 001; Shiyu Yang; Xuemin Lin 001; Dian Ouyang (CIKM, 2022)

Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. - Yang Fang 001; Xiang Zhao 002; Peixin Huang; Weidong Xiao; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

Contrastive Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. - Yang Fang 001; Zhen Tan; Ziyang Chen; Weidong Xiao; Lingling Zhang; Feng Tian (Int. J. Softw. Informatics, 2023)

$ mathsf{PF text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. - Yang Fang 001; Xiang Zhao 002; Yifan Chen 003; Weidong Xiao; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2023)

Community partition based source localization in early time. - Jinchen Shi; Yang Fang 001; Zhen Tan; Hui Yang; Xiang Zhao 002 (DSC, 2024)

A knowledge graphs representation method based on IsA relation modeling. - Pengfei Zhang; Dong Chen 013; Yang Fang 001; Weidong Xiao; Xiang Zhao 002; Zhen Tan; Rui Wang (Expert Syst. Appl., 2024)

Few-shot Learning for Heterogeneous Information Networks. - Yang Fang 001; Xiang Zhao 002; Weidong Xiao; Maarten de Rijke (ACM Trans. Inf. Syst., 2024)