Zequn Sun

Ph.D. Candidate


Rm. 413, Building of Computer Science and Technology, Nanjing University Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing, China
zqsun.nju#gmail.com
sunzequn
Sloriac
Zequn Sun

News

08/2022: One paper accepted by TKDE.
08/2022: Three papers accepted by CIKM-2022.
08/2022: Invited as a PC of ICLR-2023.
08/2022: Invited as a PC of AAAI-2023.
07/2022: Two papers accepted by ISWC-2022.
06/2022: Invited as a PC of EMNLP-2022.
06/2022: Invited as a PC of CCKS-2022.
05/2022: One paper accepted by ICML-2022.
04/2022: One paper accepted by Findings of NAACL-2022.
03/2022: Invited as a PC of NeurIPS-2022.
03/2022: Invited as a PC of ISWC-2022.
12/2021: Invited as a PC of ICML-2022.
12/2021: Serving as a member of the novel Program Committee Board (PCB) of IJCAI.
12/2021: One paper accepted by AAAI-2022.
10/2021: Invited as a reviewer for ARR.
10/2021: One paper accepted by WSDM-2022.
09/2021: One paper accepted by AI Open.
08/2021: Invited as a PC of AAAI-2022.
07/2021: 我们(w/ 李光耀)获得了CCKS 2021 表型-药物-分子多层次知识图谱的链接预测比赛第一名.
06/2021: Invited as a PC of ICLR-2022.
05/2021: One paper accepted by ACL-2021.
04/2021: Invited as a PC of NeurIPS-2021.
03/2021: Invited as a PC of EMNLP-2021.
03/2021: Invited as a PC of ISWC-2021.

Travel

Aug 25-27, 2022: attended CCKS-2022, Qinhuangdao, China.
Aug 10-16, 2019: attended IJCAI-2019, Macao, China.
Jul 13-19, 2018: attended IJCAI-2018 and gave a presentation, Stockholm, Sweden.
Oct 21-25, 2017: attended ISWC-2017 and gave a presentation, Vienna, Austria.

Short Bio

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.


Research Interest

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.]

[TKDE'22] Zequn Sun, Wei Hu, Chengming Wang, Yuxin Wang, Yuzhong Qu. Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method. Accepted by IEEE Transactions on Knowledge and Data Engineering. [code]

[CIKM'22] Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu and Xiaofang Zhou. Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. To appear in Proc. of the 31st ACM International Conference on Information and Knowledge Management. [code]

[CIKM'22] Yang Liu, Zequn Sun, Guangyao Li and Wei Hu. I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. To appear in Proc. of the 31st ACM International Conference on Information and Knowledge Management. [code]

[CIKM'22] Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han and Wei Hu. Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. To appear in Proc. of the 31st ACM International Conference on Information and Knowledge Management. [code]

[ISWC'22] Xindi Luo, Zequn Sun*, Wei Hu. μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications. To appear in Proc. of the 21st International Semantic Web Conference. [code]

[ISWC'22] Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han and Wei Hu. Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs. To appear in Proc. of the 21st International Semantic Web Conference. [code]

[ICML'22] Lingbing Guo, Mingyang Chen, Zequn Sun, Wei Hu, Qiang Zhang, Huajun Chen. Understanding and Improving Knowledge Graph Embedding for Entity Alignment. In Proc. of the 39th International Conference on Machine Learning. [code]

[NAACL'22] Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen. Dangling-Aware Entity Alignment with Mixed High-Order Proximities. In Findings of NAACL 2022. [code]

[AAAI'22] Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou. Ensemble Semi-supervised Entity Alignment via Cycle-teaching. In Proc. of the 36th AAAI Conference on Artificial Intelligence. [code]

[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. [code]

[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]


Other publications

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

2022: BootEA was selected as one of the Most Influential IJCAI-2018 Papers by Paper Digest (Version: 2022-05).
2021: MultiKE was selected as one of the Most Influential IJCAI-2019 Papers by Paper Digest (Version: 2021-02).
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).


Teaching Assistant

Knowledge Engineering (For graduate students, Spring, 2021)
Introduction to Databases (For undergraduate students, Autumn, 2019)
Introduction to Databases (For undergraduate students, Autumn, 2018)


PC Member

2023: AAAI, ICLR
2022: ICLR, AAAI, ACL Rolling Review, IJCAI, ICML, ISWC, NeurIPS, EMMLP, CCKS
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, Journal of Web Semantics, IEEE Transactions on Audio, Speech, and Language Processing, Pattern Recognition



Last modified: Aug. 28, 2022