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Stan Z. Li

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GenURL: A General Framework for Unsupervised Representation Learning

Oct 27, 2021
Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li

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Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks

Oct 25, 2021
Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li

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Debiased Graph Contrastive Learning

Oct 05, 2021
Jun Xia, Lirong Wu, Jintao Chen, Ge Wang, Stan Z. Li

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Co-learning: Learning from Noisy Labels with Self-supervision

Aug 30, 2021
Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li

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A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient

Jul 16, 2021
Yifeng Zhao, Pei Zhang, S. A. Galindo-Torres, Stan Z. Li

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A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams

Jul 16, 2021
Yifeng Zhao, Zicheng Liu, Pei Zhang, S. A. Galindo-Torres, Stan Z. Li

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Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment

Jun 30, 2021
Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

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An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network

Jun 17, 2021
Yifeng Zhao, Zicheng Liu, Pei Zhang, Stan Z. Li, S. A. Galindo-Torres

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Unsupervised Deep Manifold Attributed Graph Embedding

Apr 27, 2021
Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li

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