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Kun Bai

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Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies

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Aug 28, 2022
Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang

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Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets

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Jul 12, 2022
Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang

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Contrastive Multi-view Hyperbolic Hierarchical Clustering

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May 05, 2022
Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu

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AFINet: Attentive Feature Integration Networks for Image Classification

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May 10, 2021
Xinglin Pan, Jing Xu, Yu Pan, liangjian Wen, WenXiang Lin, Kun Bai, Zenglin Xu

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MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance

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Jan 31, 2021
Jing Xu, Tszhang Guo, Zenglin Xu, Kun Bai

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Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark

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Oct 15, 2020
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao

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Domain Agnostic Learning for Unbiased Authentication

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Oct 11, 2020
Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai

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Hybrid Differentially Private Federated Learning on Vertically Partitioned Data

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Sep 06, 2020
Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li

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Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning

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Aug 25, 2020
Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang

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A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations

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Aug 25, 2020
Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang

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