Seuraa
Chengjin Xu
Chengjin Xu
International Digital Economy Academy
Vahvistettu sähköpostiosoite verkkotunnuksessa idea.edu.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Temporal Knowledge Graph Completion based on Time Series Gaussian Embedding
C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann
International Semantic Web Conference 2020, 654-671, 2020
142*2020
Tero: A time-aware knowledge graph embedding via temporal rotation
C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann
Proceedings of the 28th International Conference on Computational …, 2020
1122020
Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in -OTDR
C Xu, J Guan, M Bao, J Lu, W Ye
Optical Engineering 57 (1), 016103-016103, 2018
1032018
Pattern recognition based on enhanced multifeature parameters for vibration events in φ‐OTDR distributed optical fiber sensing system
C Xu, J Guan, M Bao, J Lu, W Ye
Microwave and Optical Technology Letters 59 (12), 3134-3141, 2017
742017
Temporal knowledge graph completion using a linear temporal regularizer and multivector embeddings
C Xu, YY Chen, M Nayyeri, J Lehmann
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
732021
Disturbance pattern recognition based on an ALSTM in a long‐distance φ‐OTDR sensing system
X Chen, C Xu
Microwave and Optical Technology Letters 62 (1), 168-175, 2020
442020
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs
C Xu, F Su, J Lehmann
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
412021
Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph
J Sun, C Xu, L Tang, S Wang, C Lin, Y Gong, HY Shum, J Guo
ICLR2024, 2024
392024
Time-aware entity alignment using temporal relational attention
C Xu, F Su, B Xiong, J Lehmann
Proceedings of the ACM Web Conference 2022, 788-797, 2022
252022
Ultrahyperbolic Knowledge Graph Embeddings
B Xiong, S Zhu, M Nayyeri, C Xu, S Pan, C Zhou, S Staab
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-22, 2022
212022
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.
M Nayyeri, C Xu, Y Yaghoobzadeh, S Vahdati, MM Alam, HS Yazdi, ...
PAKDD (3), 77-89, 2021
20*2021
Self-learning filtering method based on classification error in distributed fiber optic system
P Zhu, C Xu, W Ye, M Bao
IEEE Sensors Journal 19 (19), 8929-8933, 2019
202019
LogicENN: a neural based knowledge graphs embedding model with logical rules
M Nayyeri, C Xu, MM Alam, J Lehmann, HS Yazdi
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7050-7062, 2021
192021
Knowledge graph embeddings in geometric algebras
C Xu, M Nayyeri, YY Chen, J Lehmann
Proceedings of the 28th International Conference on Computational …, 2020
172020
Fantastic knowledge graph embeddings and how to find the right space for them
M Nayyeri, C Xu, S Vahdati, N Vassilyeva, E Sallinger, HS Yazdi, ...
The Semantic Web–ISWC 2020: 19th International Semantic Web Conference …, 2020
132020
Knowledge graph representation learning using ordinary differential equations
M Nayyeri, C Xu, F Hoffmann, MM Alam, J Lehmann, S Vahdati
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
122021
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings
C Xu, M Nayyeri, S Vahdati, J Lehmann
International Joint Conference on Neural Network 2021, 2021
102021
UniSKGRep: A unified representation learning framework of social network and knowledge graph
Y Shen, X Jiang, Z Li, Y Wang, C Xu, H Shen, X Cheng
Neural Networks 158, 142-153, 2023
92023
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion
GAESTKG Completion
IEEE Transactions on Knowledge and Data Engineering, 1-1, 2022
9*2022
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
H Zhang, F Hua, C Xu, J Guo, H Kong, R Zuo
FinLLM 2023@IJCAI 2023, 2023
52023
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Artikkelit 1–20