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Zenglin Xu

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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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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Deep Embedded Multi-view Clustering with Collaborative Training


Jul 26, 2020
Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu

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Contextualized Code Representation Learning for Commit Message Generation


Jul 14, 2020
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu

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Relation-Guided Representation Learning


Jul 11, 2020
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu

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* Appear in Neural Networks 
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Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis


Jun 10, 2020
Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu

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ReadNet:Towards Accurate ReID with Limited and Noisy Samples


May 12, 2020
Yitian Li, Ruini Xue, Mengmeng Zhu, Qing Xu, Zenglin Xu

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Mutual Information Gradient Estimation for Representation Learning


May 03, 2020
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu

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* ICLR 2020 
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Discrete Variational Attention Models for Language Generation


Apr 21, 2020
Xianghong Fang, Haoli Bai, Zenglin Xu, Michael Lyu, Irwin King

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* 7 pages, 3 figures 
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Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples


Apr 03, 2020
Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu

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* 18 pages, 7 figures 
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Multi-view Subspace Clustering via Partition Fusion


Dec 03, 2019
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu

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Structure Learning with Similarity Preserving


Dec 03, 2019
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu

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A New Corpus for Low-Resourced Sindhi Language with Word Embeddings


Dec 02, 2019
Wazir Ali, Jay Kumar, Junyu Lu, Zenglin Xu

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* Body 21 pages, Tables 9, Figures 7 
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Large-scale Multi-view Subspace Clustering in Linear Time


Nov 21, 2019
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu

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* Accepted by AAAI 2020 
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Deep Minimax Probability Machine


Nov 20, 2019
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu

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On Model Robustness Against Adversarial Examples


Nov 15, 2019
Shufei Zhang, Kaizhu Huang, Zenglin Xu

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* 11 pages 7 figures 
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Multi-graph Fusion for Multi-view Spectral Clustering


Sep 16, 2019
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu

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* submitted to Knowledge-based Systems 
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