Dianming Hu

According to our database, Dianming Hu authored at least 17 papers between 2013 and 2024.

Collaborative distances:

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

2024

Quintuple-based Representation Learning for Bipartite Heterogeneous Networks.

Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu

ACM Trans. Intell. Syst. Technol., June, 2024

Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs.

Tong Lin, Cangqi Zhou, Qianmu Li, Dianming Hu

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

2023

Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio.

Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu

Proceedings of the IEEE International Conference on Data Mining, 2023

Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation.

Yingjie Xie, Qi Yan, Cangqi Zhou, Jing Zhang, Dianming Hu

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Computer vision and machine learning applied in the mushroom industry: A critical review.

Hua Yin, Wenlong Yi, Dianming Hu

Comput. Electron. Agric., July, 2022

Bipartite network embedding with Symmetric Neighborhood Convolution.

Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng

Expert Syst. Appl., 2022

AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss.

Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

End-to-end Modularity-based Community Co-partition in Bipartite Networks.

Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu

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

2021

Multi-label graph node classification with label attentive neighborhood convolution.

Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng

Expert Syst. Appl., 2021

Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation.

Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu

Proceedings of the IEEE International Conference on Data Mining, 2021

2016

Predicting Inter-Data-Center Network Traffic Using Elephant Flow and Sublink Information.

Yi Li, Hong Liu, Wenjun Yang, Dianming Hu, Xiaojing Wang, Wei Xu

IEEE Trans. Netw. Serv. Manag., 2016

Inter-data-center network traffic prediction with elephant flows.

Yi Li, Hong Liu, Wenjun Yang, Dianming Hu, Wei Xu

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Increasing large-scale data center capacity by statistical power control.

Guosai Wang, Shuhao Wang, Bing Luo, Weisong Shi, Yinghang Zhu, Wenjun Yang, Dianming Hu, Longbo Huang, Xin Jin, Wei Xu

Proceedings of the Eleventh European Conference on Computer Systems, 2016

2015

Fatman: Building Reliable Archival Storage Based on Low-Cost Volunteer Resources.

An Qin, Dianming Hu, Jun Liu, Wenjun Yang, Dai Tan

J. Comput. Sci. Technol., 2015

Hard Drive Failure Prediction Using Big Data.

Wenjun Yang, Dianming Hu, Yuliang Liu, Shuhao Wang, Tianming Jiang

Proceedings of the 34th IEEE Symposium on Reliable Distributed Systems Workshop, 2015

2014

Fatman: Cost-saving and reliable archival storage based on volunteer resources.

An Qin, Dianming Hu, Jun Liu, Wenjun Yang, Dai Tan

Proc. VLDB Endow., 2014

2013

Proactive drive failure prediction for large scale storage systems.

Bingpeng Zhu, Gang Wang, Xiaoguang Liu, Dianming Hu, Sheng Lin, Jingwei Ma

Proceedings of the IEEE 29th Symposium on Mass Storage Systems and Technologies, 2013