Constructing Semantic Hierarchies via Fusion Learning Architecture. - Tianwen Jiang; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CCIR, 2017)

CTGA: Graph-based Biomedical Literature Search. - Tianwen Jiang; Zhihan Zhang 001; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (BIBM, 2019)

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (EMNLP/IJCNLP (1), 2019)

A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography. - Yihong Ma; Qingkai Zeng 001; Tianwen Jiang; Liang Cai; Meng Jiang 001 (EYRE@CIKM, 2019)

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (KDD, 2019)

TUBE: Embedding Behavior Outcomes for Predicting Success. - Daheng Wang; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (KDD, 2019)

Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. - Tianwen Jiang; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CoRR, 2019)

Towards Time-Aware Distant Supervision for Relation Extraction. - Tianwen Jiang; Sendong Zhao; Jing Liu 022; Jin-Ge Yao; Ming Liu 004; Bing Qin 001; Ting Liu 001; Chin-Yew Lin (CoRR, 2019)

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2019)

Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. - Tianwen Jiang; Ning Zhang; Ming Liu 004; Meng Jiang 001; Ting Liu 001; Bing Qin 001 (BIBM, 2020)

Error-Bounded Graph Anomaly Loss for GNNs. - Tong Zhao 003; Chuchen Deng; Kaifeng Yu; Tianwen Jiang; Daheng Wang; Meng Jiang 001 (CIKM, 2020)

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. - Qingkai Zeng 001; Wenhao Yu 002; Mengxia Yu; Tianwen Jiang; Tim Weninger; Meng Jiang 001 (EMNLP (Findings), 2020)

Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. - Tianwen Jiang; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2020)

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2020)

Validating Label Consistency in NER Data Annotation. - Qingkai Zeng 001; Mengxia Yu; Wenhao Yu 002; Tianwen Jiang; Meng Jiang 001 (Eval4NLP, 2021)

Validating Label Consistency in NER Data Annotation. - Qingkai Zeng 001; Mengxia Yu; Wenhao Yu 002; Tianwen Jiang; Tim Weninger; Meng Jiang 001 (CoRR, 2021)

Biomedical Knowledge Graphs Construction From Conditional Statements. - Tianwen Jiang; Qingkai Zeng 001; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

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 004; Sendong Zhao; Bing Qin 001 (CoRR, 2022)

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. - Tong Zhao 003; Tianwen Jiang; Neil Shah; Meng Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (IEEE Trans. Knowl. Data Eng., 2023)