Chenguang Du

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Sentiment Classification

Variational Inference

Predictive Modeling

Graph Structure

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. 66 (5) (2024)
Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) (2024)
Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) (2023)
Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR (2023)
Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang
Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. SDM (2023)
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR (2023)
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR (2023)
Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR (2022)
Ziming Wan, Deqing Wang, Xuehua Ming, Fuzhen Zhuang, Chenguang Du, Ting Jiang, Zhengyang Zhao
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. CoRR (2022)
Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CIKM (2022)
Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Jianwen Hu, Chenguang Du, Shaosheng Fan
Two-Stage Pansharpening Based on Multi-Level Detail Injection Network. IEEE Access 8 (2020)