Tianwen Jiang

According to our database, Tianwen Jiang authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

IEEE Trans. Knowl. Data Eng., 2023

2022

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.

Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang

IEEE Trans. Neural Networks Learn. Syst., 2022

VEM²L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion.

Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin

CoRR, 2022

2021

Biomedical Knowledge Graphs Construction From Conditional Statements.

Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Validating Label Consistency in NER Data Annotation.

Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang

CoRR, 2021

Validating Label Consistency in NER Data Annotation.

Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

2020

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

CoRR, 2020

Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.

Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

CoRR, 2020

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.

Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Error-Bounded Graph Anomaly Loss for GNNs.

Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.

Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.

Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

CoRR, 2019

Towards Time-Aware Distant Supervision for Relation Extraction.

Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin

CoRR, 2019

Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes.

Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu

CoRR, 2019

TUBE: Embedding Behavior Outcomes for Predicting Success.

Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.

Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography.

Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang

Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.

Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CTGA: Graph-based Biomedical Literature Search.

Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Constructing Semantic Hierarchies via Fusion Learning Architecture.

Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu

Proceedings of the Information Retrieval - 23rd China conference, 2017