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HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation


Dec 05, 2022
Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen

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Protein Language Models and Structure Prediction: Connection and Progression


Nov 30, 2022
Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li

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A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application


Nov 24, 2022
Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

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* 13 pages, 13 figures 

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GitFL: Adaptive Asynchronous Federated Learning using Version Control


Nov 22, 2022
Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

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Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings


Oct 30, 2022
Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li

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A Systematic Survey of Molecular Pre-trained Models


Oct 29, 2022
Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li

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* Under Review 

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Teaching Yourself:Graph Self-Distillation on Neighborhood for Node Classification


Oct 12, 2022
Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li

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Teaching Yourself:c Graph Self-Distillation on Neighborhood for Node Classification


Oct 05, 2022
Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li

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FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment


May 24, 2022
Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen

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Model-Contrastive Learning for Backdoor Defense


May 17, 2022
Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

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