Xueqin Chen

According to our database, Xueqin Chen authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

Enhancing text-centric fake news detection via external knowledge distillation from LLMs.

Xueqin Chen, Xiaoyu Huang, Qiang Gao, Li Huang, Guisong Liu

Neural Networks, 2025

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting.

Li Huang, Yanzhe Xie, Qiang Gao, Kunpeng Zhang, Guisong Liu, Xueqin Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning.

Li Huang, Haowen Liu, Qiang Gao, Jiajing Yu, Guisong Liu, Xueqin Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting.

Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Information Diffusion Prediction via Cascade-Retrieved In-context Learning.

Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator.

Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap.

Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Kunpeng Zhang, Xueqin Chen

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2022

Multi-view learning with distinguishable feature fusion for rumor detection.

Xueqin Chen, Fan Zhou, Goce Trajcevski, Marcello M. Bonsangue

Knowl. Based Syst., 2022

Multi-scale graph capsule with influence attention for information cascades prediction.

Xueqin Chen, Fengli Zhang, Fan Zhou, Marcello M. Bonsangue

Int. J. Intell. Syst., 2022

2021

Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning.

Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue

Inf. Process. Manag., 2021

Modeling microscopic and macroscopic information diffusion for rumor detection.

Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue

Int. J. Intell. Syst., 2021

2019

Information Cascades Modeling via Deep Multi-Task Learning.

Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Information Diffusion Prediction via Recurrent Cascades Convolution.

Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019