Tianwen Jiang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Biomedical Literature

Graph Representation

Annotated Corpus

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin
L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. CoRR (2022)
Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
Validating Label Consistency in NER Data Annotation. CoRR (2021)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang
Validating Label Consistency in NER Data Annotation. Eval4NLP (2021)
Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. EMNLP (Findings) (2020)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR (2020)
Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM (2020)
Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
Error-Bounded Graph Anomaly Loss for GNNs. CIKM (2020)
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. CoRR (2020)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD (2019)
Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
TUBE: Embedding Behavior Outcomes for Predicting Success. KDD (2019)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR (2019)
Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR (2019)
Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
CTGA: Graph-based Biomedical Literature Search. BIBM (2019)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) (2019)
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. CoRR (2019)
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
Constructing Semantic Hierarchies via Fusion Learning Architecture. CCIR (2017)