Xueqin Chen

19 papers A* 8Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment.
AAAI
Yanzhe Xie, Li Huang, Qiang Gao, Xueqin Chen, Fan Zhou, Kunpeng Zhang
2025 A* conf
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning.
AAAI
Li Huang, Haowen Liu, Qiang Gao, Jiajing Yu, Guisong Liu, Xueqin Chen
2025 A* conf
Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval.
ICDE
Xueqin Chen, Xiaoyu Huang, Qiang Gao, Li Huang, Jiajing Yu, Guisong Liu
2025 J jnl
DucDiff: Dual-Consistent Diffusion for Uncertainty-Aware Information Diffusion Prediction.
IEEE Trans. Big Data
Ting Zhong, Wenxue Ye, Shichong Li, Yang Liu, Zhangtao Cheng, Fan Zhou, Xueqin Chen
2025 — conf
Enhancing Urban Region Representation via Adaptive Risk-aware Consensus Learning.
SIGSPATIAL/GIS
Li Huang, Yujie Wu, Xiaolong Song, Qiang Gao, Goce Trajcevski, Xueqin Chen
2025 J jnl
Enhancing text-centric fake news detection via external knowledge distillation from LLMs.
Neural Networks
Xueqin Chen, Xiaoyu Huang, Qiang Gao, Li Huang, Guisong Liu
2025 — conf
Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting.
KDD (1)
Li Huang, Yanzhe Xie, Qiang Gao, Kunpeng Zhang, Guisong Liu, Xueqin Chen
2025 A* conf
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting.
AAAI
Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen
2024 J jnl
Contrastive Learning with Edge-Wise Augmentation for Rumor Detection.
Int. J. Intell. Syst.
Nan Liu, Fengli Zhang, Qiang Gao, Xueqin Chen
2024 — conf
Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap.
SIGSPATIAL/GIS
Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Kunpeng Zhang, Xueqin Chen
2024 A* conf
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator.
IJCAI
Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen
2024 A* conf
Information Diffusion Prediction via Cascade-Retrieved In-context Learning.
SIGIR
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen
2022 — —
Information diffusion analysis in online social networks based on deep representation learning.
Xueqin Chen
2022 J jnl
Multi-scale graph capsule with influence attention for information cascades prediction.
Int. J. Intell. Syst.
Xueqin Chen, Fengli Zhang, Fan Zhou, Marcello M. Bonsangue
2022 J jnl
Multi-view learning with distinguishable feature fusion for rumor detection.
Knowl. Based Syst.
Xueqin Chen, Fan Zhou, Goce Trajcevski, Marcello M. Bonsangue
2021 J jnl
Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning.
Inf. Process. Manag.
Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue
2021 J jnl
Modeling microscopic and macroscopic information diffusion for rumor detection.
Int. J. Intell. Syst.
Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue
2019 A* conf
Information Cascades Modeling via Deep Multi-Task Learning.
SIGIR
Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang
2019 A* conf
Information Diffusion Prediction via Recurrent Cascades Convolution.
ICDE
Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang