Chenguang Du

According to our database, Chenguang Du authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

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

Knowl. Inf. Syst., May, 2024

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction.

Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference.

Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.

Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2023

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

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.

Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Two-Stage Pansharpening Based on Multi-Level Detail Injection Network.

Jianwen Hu, Chenguang Du, Shaosheng Fan

IEEE Access, 2020