Yuening Li | DeepAI

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Featured Co-authors

Fan Yang
225 publications
Xia Hu
111 publications
Jingren Zhou
90 publications
Rui Chen
77 publications
Hongxia Yang
74 publications
Ninghao Liu
48 publications
Xiao Huang
46 publications
Haifeng Chen
45 publications
Nicholas D. Sidiropoulos
43 publications
Zijian Zhang
43 publications
Anthony Man-Cho So
42 publications

∙ 05/17/2021

Learning Disentangled Representations for Time Series

Time-series representation learning is a fundamental task for time-serie...

17 Yuening Li, et al. ∙

∙ 03/18/2021

Probabilistic Simplex Component Analysis

This study presents PRISM, a probabilistic simplex component analysis ap...

0 Ruiyuan Wu, et al. ∙

∙ 06/19/2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning

Outlier detection is an important data mining task with numerous practic...

7 Yuening Li, et al. ∙

∙ 06/15/2020

Mitigating Gender Bias in Captioning Systems

Image captioning has made substantial progress with huge supporting imag...

0 Ruixiang Tang, et al. ∙

∙ 06/12/2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Graph neural networks (GNNs), which learn the representation of a node b...

0 Kaixiong Zhou, et al. ∙

∙ 03/12/2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning

Outlier detection is an important task for various data mining applicati...

0 Yuening Li, et al. ∙

∙ 11/04/2019

XDeep: An Interpretation Tool for Deep Neural Networks

XDeep is an open-source Python package developed to interpret deep model...

0 Fan Yang, et al. ∙

∙ 10/07/2019

PyODDS: An End-to-End Outlier Detection System

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

41 Yuening Li, et al. ∙

∙ 09/13/2019

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder

With advancements of deep learning techniques, it is now possible to gen...

0 Mengnan Du, et al. ∙

∙ 08/11/2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

Anomaly detection aims to distinguish observations that are rare and dif...

0 Yuening Li, et al. ∙

∙ 08/11/2019

Deep Structured Cross-Modal Anomaly Detection

Anomaly detection is a fundamental problem in data mining field with man...

8 Yuening Li, et al. ∙

∙ 05/25/2019

Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

Networks have been widely used as the data structure for abstracting rea...

0 Ninghao Liu, et al. ∙

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