Chengjin Xu

 



PhD Student

Computer Science Institute
University of Bonn

Profiles: LinkedIn

Room 1.052
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
soledad921@gmail.com

Short CV


Chengjin Xu is a PhD Student at the University of Bonn. Chengjin’s research interests are in the area of Knowledge Embedding and Machine Learning.

Publications

2022

Xu, Chengjin; Su, Fenglong; Xiong, Bo; Lehmann, Jens

Time-aware Entity Alignment using Temporal Relational Attention Inproceedings

In: WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pp. 788–797, ACM, 2022.

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2021

Nayyeri, Mojtaba; Xu, Chengjin; Hoffmann, Franca; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

Knowledge Graph Representation Learning using Ordinary Differential Equations Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 9529–9548, Association for Computational Linguistics, 2021.

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Xu, Chengjin; Su, Fenglong; Lehmann, Jens

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 8999–9010, Association for Computational Linguistics, 2021.

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Xu, Chengjin; Chen, Yung-Yu; Nayyeri, Mojtaba; Lehmann, Jens

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings Inproceedings

In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021, pp. 2569–2578, Association for Computational Linguistics, 2021.

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Nayyeri, Mojtaba; Xu, Chengjin; Yaghoobzadeh, Yadollah; Vahdati, Sahar; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models Inproceedings

In: Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III, pp. 77–89, Springer, 2021.

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2020

Xu, Chengjin; Nayyeri, Mojtaba; Alkhoury, Fouad; Yazdi, Hamed Shariat; Lehmann, Jens

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 1583–1593, International Committee on Computational Linguistics, 2020.

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Xu, Chengjin; Nayyeri, Mojtaba; Chen, Yung-Yu; Lehmann, Jens

Knowledge Graph Embeddings in Geometric Algebras Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 530–544, International Committee on Computational Linguistics, 2020.

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Alam, Mirza Mohtashim; Nayyeri, Mojtaba; Xu, Chengjin; Rony, Md. Rashad Al Hasan; Yazdi, Hamed Shariat; Sadeghi, Afshin; Lehmann, Jens

The Effect of Rule Injectionin a Leakage Free Dataset Inproceedings

In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 28–35, CEUR-WS.org, 2020.

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Xu, Chengjin; Nayyeri, Mojtaba; Vahdati, Sahar; Lehmann, Jens

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings Inproceedings

In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 36–42, CEUR-WS.org, 2020.

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Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them Inproceedings

In: The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020.

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