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Channel Importance Matters in Few-Shot Image Classification


Jun 20, 2022
Xu Luo, Jing Xu, Zenglin Xu

* Accepted to ICML 2022; code available at https://github.com/Frankluox/Channel_Importance_FSL 

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ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization


Jun 16, 2022
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye


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Aggregating Gradients in Encoded Domain for Federated Learning


Jun 09, 2022
Dun Zeng, Shiyu Liu, Siqi Liang, Zonghang Li, Zenglin Xu


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A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks


May 28, 2022
Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu

* Accepted in ICML 2022 

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Contrastive Multi-view Hyperbolic Hierarchical Clustering


May 05, 2022
Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu

* This work was accepted by IJCAI2022 

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MarkBERT: Marking Word Boundaries Improves Chinese BERT


Mar 12, 2022
Linyang Li, Yong Dai, Duyu Tang, Zhangyin Feng, Cong Zhou, Xipeng Qiu, Zenglin Xu, Shuming Shi

* Work in progress 

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Semantically Proportional Patchmix for Few-Shot Learning


Feb 17, 2022
Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu

* 5 pages, 2figures. ICASSP 2022 

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Source Code Summarization with Structural Relative Position Guided Transformer


Feb 14, 2022
Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu

* 12 pages, SANER 2022 

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Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT


Feb 03, 2022
Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato


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