Direction-sensitive relation extraction using Bi-SDP attention model. - Hailin Wang 002; Ke Qin; Guoming Lu; Guangchun Luo; Guisong Liu (Knowl. Based Syst., 2020)

Relation Extraction: A Brief Survey on Deep Neural Network Based Methods. - Hailin Wang 002; Guoming Lu; Jin Yin; Ke Qin (ICSIM, 2021)

Deep Neural Network Based Relation Extraction: An Overview. - Hailin Wang 002; Ke Qin; Rufai Yusuf Zakari; Guisong Liu; Guoming Lu (CoRR, 2021)

Document-level relation extraction using evidence reasoning on RST-GRAPH. - Hailin Wang 002; Ke Qin; Guoming Lu; Jin Yin; Rufai Yusuf Zakari; Jim Wilson Owusu (Knowl. Based Syst., 2021)

VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges. - Rufai Yusuf Zakari; Jim Wilson Owusu; Hailin Wang 002; Ke Qin; Zaharaddeen Karami Lawal; Yuezhou Dong (CoRR, 2022)

Deep neural network-based relation extraction: an overview. - Hailin Wang 002; Ke Qin; Rufai Yusuf Zakari; Guoming Lu; Jin Yin (Neural Comput. Appl., 2022)

Denoising Graph Inference Network for Document-Level Relation Extraction. - Hailin Wang 002; Ke Qin; Guiduo Duan; Guangchun Luo (Big Data Min. Anal., 2023)

Enhancing relation extraction using multi-task learning with SDP evidence. - Hailin Wang 002; Dan Zhang; Guisong Liu; Li Huang 002; Ke Qin (Inf. Sci., 2024)

Enhancing sparse triplet overlapping relation extraction using triaxial syntactic fusion approach. - Hailin Wang 002; Ran Tao; Xiufen Fang; Guisong Liu; Ke Qin (Knowl. Based Syst., 2025)

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction. - Jinming Luo; Hailin Wang 002 (CoRR, 2025)

Harnessing multi-task learning to improve overlapping relation extraction. - Hailin Wang 002; Song Zhang; Dan Zhang; Ao Ma (J. Supercomput., 2025)