| 2023 | APWEB | Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation. | Yingjie Xie, Qi Yan, Cangqi Zhou, Jing Zhang, Dianming Hu |
| 2023 | ICDM | Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. | Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu |
| 2022 | CIKM | End-to-end Modularity-based Community Co-partition in Bipartite Networks. | Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu |
| 2022 | WSDM | AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. | Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu |
| 2021 | ICDM | Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. | Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu |
| 2016 | EuroSys | 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 |
| 2016 | NOMS | Inter-data-center network traffic prediction with elephant flows. | Yi Li, Hong Liu, Wenjun Yang, Dianming Hu, Wei Xu |
| 2015 | SRDS | Hard Drive Failure Prediction Using Big Data. | Wenjun Yang, Dianming Hu, Yuliang Liu, Shuhao Wang, Tianming Jiang |