Tingxuan Chen

According to our database, Tingxuan Chen authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs.

Tingxuan Chen, Jun Long, Zidong Wang, Shuai Luo, Jincai Huang, Liu Yang

IEEE Trans. Knowl. Data Eng., December, 2024

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics.

Zhihai Li, Anchi Shi, Xinran Li, Jie Dou, Sijia Li, Tingxuan Chen, Tao Chen

Remote. Sens., March, 2024

HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs.

Tingxuan Chen, Jun Long, Liu Yang, Zidong Wang, Yongheng Wang, Xiongnan Jin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Separate and Integrate Different Level Reasoning for Event Causality Identification.

Yuchang Deng, Wenti Huang, Tingxuan Chen, Jun Long

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction.

Liu Yang, Jie Zhao, Jun Long, Jincai Huang, Zidong Wang, Tingxuan Chen

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network.

Jun Long, Junkun Hong, Zidong Wang, Tingxuan Chen, Yunfei Chen, Yang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction.

Tingxuan Chen, Jun Long, Liu Yang, Guohui Li, Shuai Luo, Meihong Xiao

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

MF-TagRec: Multi-feature Fused Tag Recommendation for GitHub.

Liu Yang, Ruo Yang, Tingxuan Chen, Hongxiao Fei, Jiuqi Tang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Parameter-Lite Adapter for Dynamic Entity Alignment.

Meihong Xiao, Tingxuan Chen, Zidong Wang, Jun Long, Jincai Huang, Liu Yang

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Attending to SPARQL Logs for Knowledge Representation Learning.

Liu Yang, Bingyuan Xie, Jun Long, Wenti Huang, Shuyi Liu, Tingxuan Chen

Proceedings of the Knowledge Science, Engineering and Management, 2022

Spatio-Temporal Aware Knowledge Graph Embedding for Recommender Systems.

Liu Yang, Xin Yin, Jun Long, Tingxuan Chen, Jie Zhao, Wenti Huang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

2020

Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks.

Liu Yang, Junyu Zhang, Tingxuan Chen, Wuji Lei, Xiaolong Liu

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG.

Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020