Fenglong Ma

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Penn State University ∙ University at Buffalo

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks

Providing explanations for deep neural networks (DNNs) is essential for ...
01/22/2021 ∙ by Xinyang Zhang, et al. ∙ 25 ∙ share

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FedSemi: An Adaptive Federated Semi-Supervised Learning Framework

Federated learning (FL) has emerged as an effective technique to co-trai...
12/06/2020 ∙ by Zewei Long, et al. ∙ 7 ∙ share

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A Benchmark Dataset for Understandable Medical Language Translation

In this paper, we introduce MedLane – a new human-annotated Medical Lang...
12/04/2020 ∙ by Junyu Luo, et al. ∙ 11 ∙ share

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UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data

Successful health risk prediction demands accuracy and reliability of th...
10/22/2020 ∙ by Chacha Chen, et al. ∙ 10 ∙ 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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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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Multi-Grained Named Entity Recognition

This paper presents a novel framework, MGNER, for Multi-Grained Named En...
06/20/2019 ∙ by Congying Xia, 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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Fenglong Ma

Featured Co-authors

Jimeng Sun

Cao Xiao

Wei Fan

Ting Wang

Tao Yang

Shouling Ji

Chenwei Zhang

Yaliang Li

Jin Xu

Nan Du

Xian Wu

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework

A Benchmark Dataset for Understandable Medical Language Translation

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning

Weak Supervision for Fake News Detection via Reinforcement Learning

Multi-Grained Named Entity Recognition

Long-Term Memory Networks for Question Answering