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Zenglin Xu

Self-Paced Deep Regression Forests with Consideration on Ranking Fairness


Dec 28, 2021
Lili Pan, Mingming Meng, Yazhou Ren, Yali Zheng, Zenglin Xu

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* 14 pages, 9 figures. The paper has been submitted to TIP and is currently under review. arXiv admin note: text overlap with arXiv:2004.01459 
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Exploring Category-correlated Feature for Few-shot Image Classification


Dec 14, 2021
Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu

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* 10 pages, 9 figures 
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Label-Aware Distribution Calibration for Long-tailed Classification


Nov 09, 2021
Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu

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* 9 pages 
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Graph Partner Neural Networks for Semi-Supervised Learning on Graphs


Oct 18, 2021
Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu pan, Junjin Zheng, Lei Wang, Zenglin Xu

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FedLab: A Flexible Federated Learning Framework


Aug 02, 2021
Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu

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Boosting Few-Shot Classification with View-Learnable Contrastive Learning


Jul 30, 2021
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu

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* 8 pages, 4 figures 
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ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE


Jul 30, 2021
Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu

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Kernel Selection for Stein Variational Gradient Descent


Jul 20, 2021
Qingzhong Ai, Shiyu Liu, Zenglin Xu

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Boosting few-shot classification with view-learnable contrastive learning


Jul 20, 2021
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu

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* 8 pages, 4 figures 
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Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition


Jul 16, 2021
Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

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* 23 pages, 17 figures 
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Discrete Auto-regressive Variational Attention Models for Text Modeling


Jun 16, 2021
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael Lyu, Irwin King

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* IJCNN 2021 
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AFINet: Attentive Feature Integration Networks for Image Classification


May 10, 2021
Xinglin Pan, Jing Xu, Yu Pan, liangjian Wen, WenXiang Lin, Kun Bai, Zenglin Xu

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Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge


May 09, 2021
Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu

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* 17 pages, 4 figures 
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TedNet: A Pytorch Toolkit for Tensor Decomposition Networks


Apr 11, 2021
Yu Pan, Maolin Wang, Zenglin Xu

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Pseudo-supervised Deep Subspace Clustering


Apr 08, 2021
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu

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Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems


Mar 10, 2021
Ping Guo, Kaizhu Huang, Zenglin Xu

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* 15 pages, 5 figures 
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Contrastive Disentanglement in Generative Adversarial Networks


Mar 05, 2021
Lili Pan, Peijun Tang, Zhiyong Chen, Zenglin Xu

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A Survey on Deep Semi-supervised Learning


Feb 28, 2021
Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu

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* 24 pages, 6 figures 
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Graph-based Semi-supervised Learning: A Comprehensive Review


Feb 26, 2021
Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King

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MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance


Jan 31, 2021
Jing Xu, Tszhang Guo, Zenglin Xu, Kun Bai

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* 24 pages, 7 figures 
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RegNet: Self-Regulated Network for Image Classification


Jan 03, 2021
Jing Xu, Yu Pan, Xinglin Pan, Steven Hoi, Zhang Yi, Zenglin Xu

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* 6 pages, 4 figures 
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A Subword Guided Neural Word Segmentation Model for Sindhi


Dec 30, 2020
Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren

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* Journal Paper, 16 pages 
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Block-term Tensor Neural Networks


Oct 10, 2020
Jinmian Yea, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu

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* Neural Networks, 2020 
 * 12 pages, 15 figures 
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Heuristic Rank Selection with Progressively Searching Tensor Ring Network


Sep 22, 2020
Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu

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Structured Graph Learning for Clustering and Semi-supervised Classification


Aug 31, 2020
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

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* Appear in Pattern Recognition 
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