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2020 – today
- 2024
[j3]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): 3085-3114 (2024)- [c5]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: 979-982 - 2023
- [c4]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: 1453-1462 - [c3]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: 936-944 - [c2]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR 2023: 1721-1730 - [i4]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR abs/2305.10771 (2023) - [i3]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 abs/2305.17417 (2023) - 2022
- [c1]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: 572-581 - [i2]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR abs/2211.10615 (2022) - [i1]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 abs/2211.11752 (2022) - 2021
- [j2]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): 736-747 (2021) - 2020
- [j1]Jianwen Hu, Chenguang Du, Shaosheng Fan:
Two-Stage Pansharpening Based on Multi-Level Detail Injection Network. IEEE Access 8: 156442-156455 (2020)
Coauthor Index
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