I am a Ph.D. student in Research Center for Social Computing and Information Retrieval at Harbin Institute of Technology (HIT, China) since 2016. My advisor is Prof. Bing Qin. I obtained B.S. degree in Computer Science and Engineering from HIT in July 2016.
Please contact me via twjiang@ir.hit.edu.cn, here is my Curriculum Vitae
Find me in: Github , LinkedIn , My Blogs.
News
- 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 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
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
- [C6] 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.
- [C5] 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.
- [C4] 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.
- [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.
- [C3] 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.
- [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.
- [C2] Tianwen Jiang, Bing Qin, Ming Liu, Ting Liu. "融入搜索引擎的启发式开放域三元组抽取." Proceeding of The China Conference on Knowledge Graph and Semantic Computing, (CCKS), 2017.
- [C1] Shen Liu, Tianwen Jiang, Bing Qin, Ting Liu. "Learning Type Hierarchies for Open-domain Named Entities via Word Embeddings based on Chararter Information." Proceeding of The China Conference on Knowledge Graph and Semantic Computing, (CCKS), 2016.
Academic Activities
- August 2017, CCKS'17, Chengdu, China
- July 2017, CCIR'17, Shanghai, China
- Octobor 2016, CNCC'16, Taiyuan, China
- September 2016, CCKS'16, Beijing, China
- November 2015, 第三届全国中文知识图谱研讨会'15, Yichang, China
Achievements
- 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
Selected Notes and Slides
