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Kun Bai
Publications
- 2022
- [c56]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - 2021
- [c54]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - 2020
- [j12]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. Neural Networks 131: 93-102 (2020) - [c52]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. KDD 2020: 286-296 - [c51]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. KDD 2020: 2831-2840 - [c50]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD 2020: 2989-2997 - [i15]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. CoRR abs/2005.13303 (2020) - [i14]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. CoRR abs/2006.05379 (2020) - [i13]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i12]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. CoRR abs/2007.05742 (2020) - [i10]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. CoRR abs/2008.11089 (2020) - [i9]Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li:
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data. CoRR abs/2009.02763 (2020) - [i8]Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai:
Domain Agnostic Learning for Unbiased Authentication. CoRR abs/2010.05250 (2020) - [i7]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020) - 2019
- [c45]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c43]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CVPR 2019: 11428-11437 - [i6]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i5]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CoRR abs/1905.06517 (2019)
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