Tongliang Liu


Publications


Preprint

  • Confidence Scores Make Instance-dependent Label-noise Learning Possible. [PDF]
    Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, and Masashi Sugiyama.

  • Where is the Bottleneck of Adversarial Learning with Unlabeled Data? [PDF]
    Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, and Masashi Sugiyama.

  • Instance-Dependent PU Learning by Bayesian Optimal Relabeling. [PDF]
    Fengxiang He, Tongliang Liu, Geoff Webb, and Dacheng Tao.

  • Learning with Bounded Instance-and Label-dependent Label Noise. [PDF]
    Jiacheng Cheng, Tongliang Liu, Kotagiri Rao, and Dacheng Tao.

  • Transfer Learning with Label Noise. [PDF]
    Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, and Dacheng Tao.

  • Orthogonal Deep Neural Networks.
    Kui Jia, Shuai Li, Yuxi Wen, Tongliang Liu, and Dacheng Tao.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted.

  • Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning.
    Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, and Dacheng Tao.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted.

  • Absent Multiple Kernel Learning Algorithms. [PDF]
    Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, and Jianping Yin.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted.

  • Multiple Kernel k-means with Incomplete Kernels. [PDF]
    Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggagn Shen, Jianping Yin, and Wen Gao.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted.

  • Harnessing Side Information for Classification under Label Noise.
    Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, and Dacheng Tao.
    IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Accepted.

  • Two-Stream Deep Hashing with Class-Specific Centers for Image Search.
    Cheng Deng, Erkun Yang, Tongliang Liu, and Dacheng Tao.
    IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Accepted.

  • Why ResNet Works? Residuals Generalize.
    Fengxiang He, Tongliang Liu, and Dacheng Tao.
    IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Accepted.

  • Adversarial Examples for Hamming Space Search.
    Erkun Yang, Tongliang Liu, Cheng Deng, and Dacheng Tao.
    IEEE Transactions on Cybernetics (T-CYB), Accepted.

  • Laplacian Welsch Regularization for Robust Semi-Supervised Learning.
    Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, and Dacheng Tao.
    IEEE Transactions on Cybernetics (T-CYB), Accepted.

  • Towards Efficient Front-end Visual Sensing for Digital Retina: A Model-Centric Paradigm.
    Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, and Wen Gao.
    IEEE Transactions on Multimedia (T-MM), Accepted.


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2014