Two-Stage Pansharpening Based on Multi-Level Detail Injection Network. - Jianwen Hu; Chenguang Du; Shaosheng Fan (IEEE Access, 2020)

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. - Deqing Wang; Baoyu Jing; Chenwei Lu; Junjie Wu 002; Guannan Liu; Chenguang Du; Fuzhen Zhuang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. - Hao Geng; Deqing Wang; Fuzhen Zhuang; Xuehua Ming; Chenguang Du; Ting Jiang; Haolong Guo; Rui Liu 007 (CIKM, 2022)

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. - Ziming Wan; Deqing Wang; Xuehua Ming; Fuzhen Zhuang; Chenguang Du; Ting Jiang; Zhengyang Zhao (CoRR, 2022)

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. - Chenguang Du; Deqing Wang; Fuzhen Zhuang; Hengshu Zhu (ICDM (Workshops), 2023)

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. - Ningjing Wang; Deqing Wang; Ting Jiang; Chenguang Du; Chuyu Fang; Fuzhen Zhuang (SDM, 2023)

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. - Chenguang Du; Kaichun Yao; Hengshu Zhu; Deqing Wang; Fuzhen Zhuang; Hui Xiong 001 (SIGIR, 2023)

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. - Chenguang Du; Hao Geng; Deqing Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Lanshan Zhang (WWW (Companion Volume), 2024)

Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. - Chenguang Du; Kaichun Yao; Hengshu Zhu; Deqing Wang; Fuzhen Zhuang; Hui Xiong 001 (Knowl. Inf. Syst., 2024)

The use and impact of digital interventions on mental health and wellbeing of forced migrants: A systematic review of empirical studies. - Davy Tsz Kit Ng; Chenguang Du; Kason Ka Ching Cheung; Nora A. McIntyre (Comput. Hum. Behav., 2025)