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AFINet: Attentive Feature Integration Networks for Image Classification


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


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

* 24 pages, 7 figures 

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


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


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


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


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


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


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Relation-Guided Representation Learning


Jul 11, 2020
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu

* Appear in Neural Networks 

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Adversarial Infidelity Learning for Model Interpretation


Jun 27, 2020
Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang

* 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23--27, 2020, Virtual Event, USA 

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Why is Attention Not So Attentive?


Jun 10, 2020
Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang


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General-Purpose User Embeddings based on Mobile App Usage


May 27, 2020
Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang

* To be published in the KDD2020 proceedings as a full paper 

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Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting


Apr 29, 2020
Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao

* Accepted by ACL 2020 

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CSRN: Collaborative Sequential Recommendation Networks for News Retrieval


Apr 07, 2020
Bing Bai, Guanhua Zhang, Ye Lin, Hao Li, Kun Bai, Bo Luo


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Fisher Deep Domain Adaptation


Mar 12, 2020
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang


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Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability


Oct 05, 2019
Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao


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Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos


Aug 02, 2019
Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu


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Additive Adversarial Learning for Unbiased Authentication


May 28, 2019
Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu

* IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2019) 

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Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets


May 20, 2019
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao

* Accepted by ACL 2019 

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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition


Nov 19, 2018
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

* 9 pages 

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Improving Reinforcement Learning Based Image Captioning with Natural Language Prior


Sep 13, 2018
Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai

* 8 pages, 5 figures, EMNLP2018 

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