Hailin Wang

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
FAST: Foreground-aware active self-training for domain adaptive object detection.
Neural Networks
Dan Zhang, Hongmin Deng, Hailin Wang, Zhekai Du, Guisong Liu, Jingjing Li, Mao Ye
2025 J jnl
A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction.
CoRR
Jinming Luo, Hailin Wang
2025 J jnl
Enhancing sparse triplet overlapping relation extraction using triaxial syntactic fusion approach.
Knowl. Based Syst.
Hailin Wang, Ran Tao, Xiufen Fang, Guisong Liu, Ke Qin
2025 J jnl
Harnessing multi-task learning to improve overlapping relation extraction.
J. Supercomput.
Hailin Wang, Song Zhang, Dan Zhang, Ao Ma
2024 J jnl
Enhancing relation extraction using multi-task learning with SDP evidence.
Inf. Sci.
Hailin Wang, Dan Zhang, Guisong Liu, Li Huang, Ke Qin
2023 J jnl
Denoising Graph Inference Network for Document-Level Relation Extraction.
Big Data Min. Anal.
Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo
2022 J jnl
Deep neural network-based relation extraction: an overview.
Neural Comput. Appl.
Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guoming Lu, Jin Yin
2022 J jnl
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges.
CoRR
Rufai Yusuf Zakari, Jim Wilson Owusu, Hailin Wang, Ke Qin, Zaharaddeen Karami Lawal, Yuezhou Dong
2021 J jnl
Deep Neural Network Based Relation Extraction: An Overview.
CoRR
Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu
2021 J jnl
Document-level relation extraction using evidence reasoning on RST-GRAPH.
Knowl. Based Syst.
Hailin Wang, Ke Qin, Guoming Lu, Jin Yin, Rufai Yusuf Zakari, Jim Wilson Owusu
2021 — conf
Relation Extraction: A Brief Survey on Deep Neural Network Based Methods.
ICSIM
Hailin Wang, Guoming Lu, Jin Yin, Ke Qin
2020 J jnl
Direction-sensitive relation extraction using Bi-SDP attention model.
Knowl. Based Syst.
Hailin Wang, Ke Qin, Guoming Lu, Guangchun Luo, Guisong Liu