News

October 1, 2019. One paper was accepted to IEEE BIBM 2019. Thanks to all my coauthors.
August 13, 2019. One paper was accepted to EMNLP 2019. Thanks to all my coauthors.
June 10, 2019. One paper was accepted to BIOKDD 2019. Thanks to all my coauthors.
April 29, 2019. Two papers got in the 14.2% of submissions accepted to ACM SIGKDD 2019. Thanks to all my coauthors.
August 1, 2018. I am going to University of Notre Dame as a research visitor, collaborating in association with Professor Meng Jiang and Professor Nitesh V. Chawla.

Research Interests

Research Visitor in University of Notre Dame, September 2018 - September 2019, Advisor: Meng Jiang, Nitesh V. Chawla
Research Internship in Microsoft Research Asia (MSRA), December 2017 - April 2018, Mentor: Chin-Yew Lin

[C6] Tianwen Jiang^#, Zhihan Zhang^#, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang, "CTGA: Graph-based Biomedical Literature Search." 2019 IEEE International Conference on Bioinformatics & Biomedicine (BIBM), 2019. | CCF B, Acceptance Rate= 18%

[C5] 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." 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP), 2019. | CCF B, Acceptance Rate= 23.8%

[C4] Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang. "The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model." ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. | CCF A, Acceptance Rate= 14.2%

[C3] Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang. "TUBE: Embedding Behavior Outcomes for Predicting Success." ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. | CCF A, Acceptance Rate= 14.2%

[W1] Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang. "Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements." International Workshop on Data Mining in Bioinformatics (BIOKDD), 2019.

[J3] 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." ArXiv preprint arXiv:1903.03289, 2019.

[J2] Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu. "Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes." ArXiv preprint arXiv:1903.03282, 2019.

[C2] Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu. "Constructing Semantic Hierarchies via Fusion Learning Architecture." China Conference on Information Retrieval (CCIR), Springer, Cham, 2017: 136-148.
| EI Conference

[J1] Tianwen Jiang, Bing Qin, Ting Liu. "Open Domain Knowledge Reasoning for Chinese Based on Representation Learning." Journal of Chinese Information Processing (JCIP), 2018, 32 (3), 34-41.

[C1] Shen Liu, Tianwen Jiang, Bing Qin, Ting Liu. "Learning Type Hierarchies for Open-domain Named Entities via Word Embeddings based on Character Information." Proceeding of The China Conference on Knowledge Graph and Semantic Computing, (CCKS), 2016.