Jun Yuan | DeepAI

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Yang Liu
344 publications
Meng Wang
217 publications
Shuicheng Yan
187 publications
Dong Li
125 publications
Hang Su
109 publications
Rui Liu
95 publications
Qian Li
80 publications
Bingbing Ni
75 publications
Jianfeng Wang
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Yao Yao
47 publications
Kun Chen
37 publications

∙ 08/28/2023

TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers

Ranking schemes drive many real-world decisions, like, where to study, w...

0 Jun Yuan, et al. ∙

∙ 11/05/2022

Rankers, Rankees, Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective

Algorithmic rankers have a profound impact on our increasingly data-driv...

0 Jun Yuan, et al. ∙

∙ 08/20/2022

Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles

Recent advances in artificial intelligence largely benefit from better n...

3 Jun Yuan, et al. ∙

∙ 05/10/2022

Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning

We use deep distributional reinforcement learning (RL) to develop a hedg...

0 Jay Cao, et al. ∙

∙ 03/08/2022

iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models

Error analysis in NLP models is essential to successful model developmen...

9 Jun Yuan, et al. ∙

∙ 01/19/2022

Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets

One of the potential solutions for model interpretation is to train a su...

0 Jun Yuan, et al. ∙

∙ 09/19/2021

An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets

Rule sets are often used in Machine Learning (ML) as a way to communicat...

0 Jun Yuan, et al. ∙

∙ 09/12/2021

AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation

Rapid improvements in the performance of machine learning models have pu...

0 Oscar Gomez, et al. ∙

∙ 09/08/2021

Bionic Optical Physical Unclonable Functions for Authentication and Encryption

Information security is of great importance for modern society with all ...

0 Yongbiao Wan, et al. ∙

∙ 07/20/2021

Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks

Ultra-reliability and low latency communication plays an important role ...

0 Shiwen He, et al. ∙

∙ 03/01/2021

Visualizing Rule Sets: Exploration and Validation of a Design Space

Rule sets are often used in Machine Learning (ML) as a way to communicat...

0 Jun Yuan, et al. ∙

∙ 10/05/2020

Mind the Pad – CNNs can Develop Blind Spots

We show how feature maps in convolutional networks are susceptible to sp...

0 Bilal Alsallakh, et al. ∙

∙ 08/21/2020

A Survey of Visual Analytics Techniques for Machine Learning

Visual analytics for machine learning has recently evolved as one of the...

0 Jun Yuan, et al. ∙

∙ 07/29/2020

Evaluation of Sampling Methods for Scatterplots

Given a scatterplot with tens of thousands of points or even more, a nat...

0 Jun Yuan, et al. ∙

∙ 07/21/2020

SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level

Understanding the interpretation of machine learning (ML) models has bee...

0 Gromit Yeuk-Yin Chan, et al. ∙

∙ 03/05/2020

ViCE: Visual Counterfactual Explanations for Machine Learning Models

The continued improvements in the predictive accuracy of machine learnin...

8 Oscar Gomez, et al. ∙

∙ 02/08/2020

OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples

One major cause of performance degradation in predictive models is that ...

0 Changjian Chen, et al. ∙

∙ 01/24/2019

Benchmarking Time Series Databases with IoTDB-Benchmark for IoT Scenarios

With the wide application of time series databases (TSDBs) in big data f...

0 Rui Liu, et al. ∙

∙ 01/24/2019

Benchmark Time Series Database with IoTDB-Benchmark for IoT Scenarios

With the wide application of time series databases (TSDB) in big data fi...

0 Rui Liu, et al. ∙

∙ 09/02/2015

Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition

Detecting and recognizing objects interacting with humans lie in the cen...

0 Changzhi Luo, et al. ∙

∙ 12/22/2014

Half-CNN: A General Framework for Whole-Image Regression

The Convolutional Neural Network (CNN) has achieved great success in ima...

0 Jun Yuan, et al. ∙

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