News

July, 2021. One paper was accepted to IEEE TNNLS on graph anomaly detection. Congratulations to Tong Zhao and co-authors.
June, 2021. One paper was accepted to IEEE TKDE on modeling dynamic networks. Congratulations to Daheng Wang and co-authors.
October 30, 2020. One paper was accepted to BIBM'20 on knowledge graph embedding, literature searching. Congratulations to the first co-author Ning Zhang and all my co-authors.
July 17, 2020. One paper was accepted to Findings of EMNLP'20 on information extraction. Congratulations to Qingkai Zeng and co-authors.
August 25, 2020. Our work won the Best Paper Award at the International Workshop of Deep Learning on Graphs (DLG) in KDD’20. Congratulations to Daheng Wang and co-authors.
July 17, 2020. One paper was accepted to CIKM 2020 on graph anomaly detection. Congratulations to Tong Zhao and co-authors.
March 7, 2020. One paper was accepted to the IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) on knowledge graph construction, text mining. Thanks to all my co-authors.
October 1, 2019. One paper was accepted to IEEE BIBM 2019 on knowledge graph, literature searching. Thanks to all my co-authors.
August 13, 2019. One paper was accepted to EMNLP 2019 on relation tuple extraction. Thanks to all my co-authors.
June 10, 2019. One paper was accepted to BIOKDD 2019. Thanks to all my co-authors.
April 29, 2019. Two papers got in the 14.2% of submissions accepted to ACM SIGKDD 2019 on knowledge graph construction. Thanks to all my co-authors.
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

Data-driven approaches towards knowledge discovery

Experiences

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

Publications

[J] Tong Zhao, Tianwen Jiang, Neil Shah, and Meng Jiang. "A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning." IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. (to be appeared)

[J] 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." the IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. | CCF A

[C] Tianwen Jiang^#, Ning Zhang^#, Ming Liu, Meng Jiang, Ting Liu, Bing Qin. "Use of “Internal Knowledge”: Biomedical Literature Search Liberated From External Resource." 2020 IEEE International Conference on Bioinformatics & Biomedicine (BIBM), 2020. | CCF B, Acceptance Rate= 19.4%

[J] Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang, "Biomedical Knowledge Graphs Construction from Conditional Statements." the IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2020. | IF= 2.896, ESI, CCF B

[Preprint] Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang. "Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network." ArXiv preprint arXiv:2006.09610, 2020.

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

[C] 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% [Code]

[C] 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% [Code]

[W] 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) at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.

[Preprint] 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.

[Preprint] 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.

[C] 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

[J] 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.

[C] 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%

[C] Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang. "Error-bounded Graph Anomaly Loss for GNNs." 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020. | CCF B, Acceptance Rate= 21%

[W] Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang. "Learning Attribute-Structure Co-Evolutions in Dynamic Graphs." Workshop on Deep Learning on Graphs (DLG-KDD) at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.

[C] Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang. "Tri-Train: Automatic Pre-fine Tuning between Pre-training and Fine-tune Training for SciNER." Findings of Empirical Methods on Natural Language Processing (EMNLP), 2020.

[W] Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang. "GNN-based Graph Anomaly Detection with Graph Anomaly Loss." Workshop on Deep Learning on Graphs (DLG-KDD) at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.

[C] 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.

Achievements

October 2019, National Scholarship for Graduate students
November 2019, IEEE BIBM 2019 Travel Award
Octobor 2016, The CCF Outstanding Undergraduate Award(OUA)
July 2016, Outstanding Graduates from Harbin Institute of Technology
2013-2016, People's Scholarship (four times)
2013, University-level Outstanding Student Cadre
2013, National Scholarship for Encouragement

Reviewer / Second Reviewer

2020

the International Conference on Computational Linguistics (COLING)
the IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Journal of Chinese Information Processing (JCIP)
AAAI Conference on Artificial Intelligence (AAAI)

2019

Conference on Empirical Methods in Natural Language Processing (EMNLP)
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
International Joint Conference on Artificial Intelligence (IJCAI)

2018

Conference on Empirical Methods in Natural Language Processing (EMNLP)
ACM International Conference on Knowledge Management (CIKM)
China Conference on Knowledge Graph and Semantic Computing (CCKS)
China National Conference on Computational Linguistics (CCL)