Search Results for author: Na Zou

Found 11 papers, 4 papers with code

AutoVideo: An Automated Video Action Recognition System

1 code implementation9 Aug 2021 Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Anmoll Kumar Jain, Mohammad Qazim Bhat, Na Zou, Xia Hu

The pipeline language is quite general so that we can easily enrich AutoVideo with algorithms for various other video-related tasks in the future.

Action Recognition AutoML +1

A General Taylor Framework for Unifying and Revisiting Attribution Methods

no code implementations28 May 2021 Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

However, the attribution problem has not been well-defined, which lacks a unified guideline to the contribution assignment process.

Decision Making

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution

no code implementations14 Apr 2021 Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu

The basic idea is to learn a source signal by back-propagation such that the mutual information between input and output should be as much as possible preserved in the mutual information between input and the source signal.

Decision Making

A Unified Taylor Framework for Revisiting Attribution Methods

no code implementations21 Aug 2020 Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

Attribution methods have been developed to understand the decision-making process of machine learning models, especially deep neural networks, by assigning importance scores to individual features.

Decision Making

Mitigating Gender Bias in Captioning Systems

1 code implementation15 Jun 2020 Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu

Image captioning has made substantial progress with huge supporting image collections sourced from the web.

Gender Prediction Image Captioning

Multi-Channel Graph Convolutional Networks

no code implementations17 Dec 2019 Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu

To further improve the graph representation learning ability, hierarchical GNN has been explored.

Graph Classification Graph Representation Learning

PyODDS: An End-to-End Outlier Detection System

1 code implementation7 Oct 2019 Yuening Li, Daochen Zha, Na Zou, Xia Hu

PyODDS is an end-to end Python system for outlier detection with database support.

Outlier Detection

Fairness in Deep Learning: A Computational Perspective

no code implementations23 Aug 2019 Mengnan Du, Fan Yang, Na Zou, Xia Hu

Deep learning is increasingly being used in high-stake decision making applications that affect individual lives.

Decision Making Fairness

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

no code implementations11 Aug 2019 Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou

SpecAE leverages Laplacian sharpening to amplify the distances between representations of anomalies and the ones of the majority.

Anomaly Detection Density Estimation

Non-local U-Net for Biomedical Image Segmentation

3 code implementations10 Dec 2018 Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji

In this work, we propose the non-local U-Nets, which are equipped with flexible global aggregation blocks, for biomedical image segmentation.

Brain Image Segmentation Semantic Segmentation

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