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Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction


Nov 14, 2022
Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu

* This work has been submitted to the IEEE for possible publication. This work is a substantially extended version of arXiv:2109.06415, with the summary of difference provided in the appendix 

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AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction


Jun 09, 2021
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He

* 10 pages 

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A Survey on Deep Semi-supervised Learning


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

* 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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SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy


Jul 02, 2020
Emanuele Dalsasso, Xiangli Yang, Loïc Denis, Florence Tupin, Wen Yang

* Article submitted to Remote Sensing, MDPI. Notebook with Colab compatibility is available at https://github.com/emanueledalsasso/SAR-CNN 

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