Jing Gao

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University at Buffalo

Adaptive Self-training for Few-shot Neural Sequence Labeling

Neural sequence labeling is an important technique employed for many Nat...
10/07/2020 ∙ by Yaqing Wang, et al. ∙ 4 ∙ share

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Efficient Knowledge Graph Validation via Cross-Graph Representation Learning

Recent advances in information extraction have motivated the automatic c...
08/16/2020 ∙ by Yaqing Wang, et al. ∙ 7 ∙ share

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Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning

Holstein Friesian cattle exhibit individually-characteristic black and w...
06/16/2020 ∙ by William Andrew, et al. ∙ 16 ∙ share

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Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Product catalogs are valuable resources for eCommerce website. In the ca...
06/15/2020 ∙ by Yaqing Wang, et al. ∙ 0 ∙ share

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Decomposed Adversarial Learned Inference

Effective inference for a generative adversarial model remains an import...
04/21/2020 ∙ by Alexander Hanbo Li, et al. ∙ 3 ∙ share

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Large-scale Real-time Personalized Similar Product Recommendations

Similar product recommendation is one of the most common scenes in e-com...
04/12/2020 ∙ by Zhi Liu, et al. ∙ 0 ∙ share

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Practical Data Poisoning Attack against Next-Item Recommendation

Online recommendation systems make use of a variety of information sourc...
04/07/2020 ∙ by Hengtong Zhang, et al. ∙ 0 ∙ share

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A Survey on Causal Inference

Causal inference is a critical research topic across many domains, such ...
02/05/2020 ∙ by Liuyi Yao, et al. ∙ 25 ∙ share

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Weak Supervision for Fake News Detection via Reinforcement Learning

Today social media has become the primary source for news. Via social me...
12/28/2019 ∙ by Yaqing Wang, et al. ∙ 0 ∙ share

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Atmospheric turbulence removal using convolutional neural network

This paper describes a novel deep learning-based method for mitigating t...
12/22/2019 ∙ by Jing Gao, et al. ∙ 24 ∙ share

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Towards Data Poisoning Attack against Knowledge Graph Embedding

Knowledge graph embedding (KGE) is a technique for learning continuous e...
04/26/2019 ∙ by Hengtong Zhang, et al. ∙ 0 ∙ share

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Finding Similar Medical Questions from Question Answering Websites

The past few years have witnessed the flourishing of crowdsourced medica...
10/14/2018 ∙ by Yaliang Li, et al. ∙ 0 ∙ share

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Towards Differentially Private Truth Discovery for Crowd Sensing Systems

Nowadays, crowd sensing becomes increasingly more popular due to the ubi...
10/10/2018 ∙ by Yaliang Li, et al. ∙ 0 ∙ share

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Long-Term Memory Networks for Question Answering

Question answering is an important and difficult task in the natural lan...
07/06/2017 ∙ by Fenglong Ma, et al. ∙ 0 ∙ share

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Jing Gao

Featured Co-authors

Li Chen

Changyou Chen

Qi Li

Dong Li

Zhi Liu

Wei Fan

Sheng Li

Chenwei Zhang

Yan Huang

Yaliang Li

Jin Xu

Adaptive Self-training for Few-shot Neural Sequence Labeling

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning

Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Decomposed Adversarial Learned Inference

Large-scale Real-time Personalized Similar Product Recommendations

Practical Data Poisoning Attack against Next-Item Recommendation

A Survey on Causal Inference

Weak Supervision for Fake News Detection via Reinforcement Learning

Atmospheric turbulence removal using convolutional neural network

Towards Data Poisoning Attack against Knowledge Graph Embedding

Finding Similar Medical Questions from Question Answering Websites

Towards Differentially Private Truth Discovery for Crowd Sensing Systems

Long-Term Memory Networks for Question Answering