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Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks


Dec 02, 2022
Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson

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* 978-1-6654-8045-1/22/\$31.00 \copyright{}2022 IEEE The 6th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA 2022) 

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Self-Supervision Can Be a Good Few-Shot Learner


Jul 19, 2022
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian

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* ECCV 2022, code: https://github.com/bbbdylan/unisiam 

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Source-Free Domain Adaptation for Real-world Image Dehazing


Jul 14, 2022
Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao

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* Accepted to ACM MM 2022 

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Prompt Distribution Learning


May 06, 2022
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian

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* Accepted by CVPR 2022 

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Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network


Feb 21, 2022
Yajing Liu, Zhengya Sun, Wensheng Zhang

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Improving Fraud detection via Hierarchical Attention-based Graph Neural Network


Feb 12, 2022
Yajing Liu, Zhengya Sun, Wensheng Zhang

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Phoneme-based Distribution Regularization for Speech Enhancement


Apr 08, 2021
Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu

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* ICASSP 2021 (Accepted) 

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Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition


Apr 13, 2020
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein

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* 8 pages, 7 figures, 5 tables 

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