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Journal Articles
- 2024
[j7]Cangqi Zhou
, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu:
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks. ACM Trans. Intell. Syst. Technol. 15(3): 61:1-61:19 (2024)- 2022
- [j6]Hua Yin, Wenlong Yi, Dianming Hu:
Computer vision and machine learning applied in the mushroom industry: A critical review. Comput. Electron. Agric. 198: 107015 (2022) - [j5]Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng:
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198: 116757 (2022) - 2021
- [j4]Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng:
Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. 180: 115063 (2021) - 2016
- [j3]Yi Li, Hong Liu, Wenjun Yang, Dianming Hu, Xiaojing Wang, Wei Xu:
Predicting Inter-Data-Center Network Traffic Using Elephant Flow and Sublink Information. IEEE Trans. Netw. Serv. Manag. 13(4): 782-792 (2016) - 2015
- [j2]An Qin, Dianming Hu, Jun Liu, Wenjun Yang, Dai Tan:
Fatman: Building Reliable Archival Storage Based on Low-Cost Volunteer Resources. J. Comput. Sci. Technol. 30(2): 273-282 (2015) - 2014
- [j1]An Qin, Dianming Hu, Jun Liu, Wenjun Yang, Dai Tan:
Fatman: Cost-saving and reliable archival storage based on volunteer resources. Proc. VLDB Endow. 7(13): 1748-1753 (2014)
Conference and Workshop Papers
- 2024
- [c10]Tong Lin, Cangqi Zhou, Qianmu Li, Dianming Hu:
Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs. ICMLC 2024: 628-634 - 2023
- [c9]Yingjie Xie, Qi Yan, Cangqi Zhou, Jing Zhang, Dianming Hu:
Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation. APWeb/WAIM (4) 2023: 124-138 - [c8]Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu:
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. ICDM 2023: 418-427 - 2022
- [c7]Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu:
End-to-end Modularity-based Community Co-partition in Bipartite Networks. CIKM 2022: 2711-2720 - [c6]Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu:
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. WSDM 2022: 1470-1478 - 2021
- [c5]Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu:
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. ICDM 2021: 1529-1534 - 2016
- [c4]Guosai Wang, Shuhao Wang, Bing Luo, Weisong Shi, Yinghang Zhu, Wenjun Yang, Dianming Hu, Longbo Huang, Xin Jin, Wei Xu:
Increasing large-scale data center capacity by statistical power control. EuroSys 2016: 8:1-8:15 - [c3]Yi Li, Hong Liu, Wenjun Yang, Dianming Hu, Wei Xu:
Inter-data-center network traffic prediction with elephant flows. NOMS 2016: 206-213 - 2015
- [c2]Wenjun Yang, Dianming Hu, Yuliang Liu, Shuhao Wang, Tianming Jiang:
Hard Drive Failure Prediction Using Big Data. SRDS Workshop 2015: 13-18 - 2013
- [c1]Bingpeng Zhu, Gang Wang, Xiaoguang Liu, Dianming Hu, Sheng Lin, Jingwei Ma:
Proactive drive failure prediction for large scale storage systems. MSST 2013: 1-5
Coauthor Index
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