Currently, I am a Ph.D. candidate of Websoft Research Group at Department of Computer Science and Technology, Nanjing University.
I received my B.Sc. degree in College of Computer and Information in June 2016 from Hohai University.
In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.
In Sept. 2018, I started my Ph.D. degree under the supervision of Prof. Yuzhong Qu and Associate Prof. Wei Hu.
My research interests include knowledge graph representation learning and its applications (e.g., entity alignment, relation prediction and type inference), applied machine learning and deep learning (recurrent neural networks, multi-relational graph neural networks, etc.).
Publications [Google Scholar] [Websoft Github] [* indicates equal contribution.]
[WSDM'22] Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou.
Informed Multi-context Entity Alignment.
In Proc. of the 15th ACM International Conference on Web Search and Data Mining.
[ACL'21] Zequn Sun, Muhao Chen, Wei Hu.
Knowing the No-match: Entity Alignment with Dangling Cases.
In Proc. of the 59th Annual Meeting of the Association for Computational Linguistics. [code][DBP2.0]
[EMNLP'20] Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang.
Knowledge Association with Hyperbolic Knowledge Graph Embeddings.
In Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing. [code]
[VLDB'20] Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li.
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs.
In Proc. of the VLDB Endowment, Vol. 13, No. 11. [code][data]
[AAAI'20] Zequn Sun*, Chengming Wang*, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu.
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation.
In Proc. of the 34th AAAI Conference on Artificial Intelligence. [code]
[ISWC'19] Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu.
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs.
In Proc. of the 18th International Semantic Web Conference. [code]
[IJCAI'19] Qingheng Zhang*, Zequn Sun*, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu.
Multi-view Knowledge Graph Embedding for Entity Alignment.
In Proc. of the 28th International Joint Conference on Artificial Intelligence. [code]
[ICML'19] Lingbing Guo, Zequn Sun, Wei Hu.
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs.
In Proc. of the 36th International Conference on Machine Learning. [Supplementary][code]
[IJCAI'18] Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu.
Bootstrapping Entity Alignment with Knowledge Graph Embedding.
In Proc. of the 27th International Joint Conference on Artificial Intelligence. [code][DWY100K]
[ISWC'17] Zequn Sun, Wei Hu, Chengkai Li.
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding.
In Proc. of the 16th International Semantic Web Conference. [website][code][DBP15K]
[ISWC'16] Wei Hu, Haoxuan Li, Zequn Sun, Xinqi Qian, Lingkun Xue, Ermei Cao, Yuzhong Qu.
Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data.
In Proc. of the 15th International Semantic Web Conference. [data]
Guangyao Li, Zequn Sun, Lei Qian, Qiang Guo, Wei Hu.
Rule-based data augmentation for knowledge graph embedding.
AI Open, 2021.
Lingbing Guo, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu.
Learning to Complete Knowledge Graphs with Deep Sequential Models.
Data Intelligence, Vol 1 (3), 224-243, 2019.
Xinze Lyu, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu.
njuLink: results for instance matching at OAEI 2017.
In Proc. of the 12th International Workshop on Ontology Matching (OM 2017).
Zhiwei Zhang, Lingling Zhang, Hao Zhang, Weizhuo He, Zequn Sun, Gong Cheng, Qizhi Liu, Xinyu Dai and Yuzhong Qu.
Towards Answering Geography Questions in Gaokao: A Hybrid Approach.
In Proc. of the 2018 China Conference on Knowledge Graph and Semantic Computing (CCKS 2018).
Awards & Honors
2021: Program A for outstanding PhD candidate of Nanjing University (only 12 students).
2021: Most Influential Scholar Award Honorable Mention (in the field of Knowledge Engineering between 2010 and 2020, by Aminer)
2020: National Scholarship (for Ph.D. students).
2020: VLDB Student Registration Support.
2019: Huawei Scholarship (for Ph.D. students).
2019: IJCAI Travel Grant.
2018: National Scholarship (for Ph.D. students).
2017: Huawei Scholarship (for master students).
2017: First-Class Academic Scholarship of Nanjing University.
2017: ISWC Student Travel Grant.
2016: Outstanding Undergraduate Student of Hohai University.
2014: National Scholarship (for undergraduate students).
Knowledge Engineering (For graduate students, Spring, 2021)
Introduction to Databases (For undergraduate students, Autumn, 2019)
Introduction to Databases (For undergraduate students, Autumn, 2018)
2022: ICLR, AAAI, ACL Rolling Review
2021: AAAI, ICLR, EACL, IJCAI (senior PC), ICML, ACL, ISWC, EMNLP, NeurIPS
2020: AAAI, ACL, EMNLP, ISWC, NeurIPS.
Before 2020: ISWC 2019 (Posters and Demos Track), CCKS 2018.
Invited Reviewer for Journals
Data Mining and Knowledge Discovery, Neurocomputing