b'Min Chen'

research

∙ 09/06/2023

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning

Data is a critical asset in AI, as high-quality datasets can significant...

0 Linkang Du, et al. ∙

research

∙ 09/04/2023

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking

Chinese geographic re-ranking task aims to find the most relevant addres...

0 Yong Cao, et al. ∙

research

∙ 08/23/2023

Fine-grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks

The 5G networks have extensively promoted the growth of mobile users and...

0 Shaoyuan Huang, et al. ∙

research

∙ 07/19/2023

Radial Icicle Tree (RIT): Node Separation and Area Constancy

Icicles and sunbursts are two commonly-used visual representations of tr...

0 Yuanzhe Jin, et al. ∙

research

∙ 05/10/2023

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning

Differential privacy (DP), as a rigorous mathematical definition quantif...

2 Chengkun Wei, et al. ∙

research

∙ 04/05/2023

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information

Graph data is used in a wide range of applications, while analyzing grap...

0 Quan Yuan, et al. ∙

research

∙ 03/30/2023

Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

The recent release of ChatGPT has garnered widespread recognition for it...

1 Yong Cao, et al. ∙

research

∙ 03/15/2023

Multi-Criteria Decision Analysis for Aiding Glyph Design

Glyph-based visualization is one of the main techniques for visualizing ...

0 Hong-Po Hsieh, et al. ∙

research

∙ 11/24/2022

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion

Semantic scene completion (SSC) aims to complete a partial 3D scene and ...

0 Jinfeng Xu, et al. ∙

research

∙ 08/19/2022

Background Invariance Testing According to Semantic Proximity

In many applications, machine learned (ML) models are required to hold s...

2 Zukang Liao, et al. ∙

research

∙ 05/02/2022

Dashboard Design Patterns

This paper introduces design patterns for dashboards to inform their des...

0 Benjamin Bach, et al. ∙

research

∙ 04/14/2022

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections Recommendations

We report on an ongoing collaboration between epidemiological modellers ...

0 Jason Dykes, et al. ∙

research

∙ 04/12/2022

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation

Sign language recognition and translation first uses a recognition modul...

4 Yong Cao, et al. ∙

research

∙ 03/03/2022

Characterizing Grounded Theory Approaches in Visualization

Grounded theory (GT) is a research methodology that entails a systematic...

0 Alexandra Diehl, et al. ∙

research

∙ 01/22/2022

Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling

Deep learning methods are notoriously data-hungry, which requires a larg...

2 Han Hu, et al. ∙

research

∙ 12/14/2021

Visualizing Ensemble Predictions of Music Mood

Music mood classification has been a challenging problem in comparison w...

3 Zelin Ye, et al. ∙

research

∙ 10/06/2021

Inference Attacks Against Graph Neural Networks

Graph is an important data representation ubiquitously existing in the r...

45 Zhikun Zhang, et al. ∙

research

∙ 09/27/2021

ML4ML: Automated Invariance Testing for Machine Learning Models

In machine learning workflows, determining invariance qualities of a mod...

11 Zukang Liao, et al. ∙

research

∙ 07/19/2021

Propagating Visual Designs to Numerous Plots and Dashboards

In the process of developing an infrastructure for providing visualizati...

0 Saiful Khan, et al. ∙

research

∙ 04/21/2021

A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things

Federated learning (FL) brings collaborative intelligence into industrie...

12 Jiehan Zhou, et al. ∙

research

∙ 04/02/2021

Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning

Many mission-critical applications of machine learning (ML) in the real-...

20 Yu Zhang, et al. ∙

research

∙ 03/28/2021

A Short Introduction to Information-Theoretic Cost-Benefit Analysis

This arXiv report provides a short introduction to the information-theor...

0 Min Chen, et al. ∙

research

∙ 03/27/2021

Graph Unlearning

The right to be forgotten states that a data subject has the right to er...

23 Min Chen, et al. ∙

research

∙ 03/03/2021

A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation

Information theory can be used to analyze the cost-benefit of visualizat...

0 Min Chen, et al. ∙

research

∙ 03/03/2021

A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation

Many visual representations, such as volume-rendered images and metro ma...

0 Min Chen, et al. ∙

research

∙ 02/14/2021

NeRF–: Neural Radiance Fields Without Known Camera Parameters

This paper tackles the problem of novel view synthesis (NVS) from 2D ima...

5 Zirui Wang, et al. ∙

research

∙ 02/01/2021

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach

It is always a challenging problem to deliver a huge volume of videos ov...

0 Xianzhi Zhang, et al. ∙

research

∙ 01/15/2021

Is the Chen-Sbert Divergence a Metric?

Recently, Chen and Sbert proposed a general divergence measure. This rep...

0 Min Chen, et al. ∙

research

∙ 11/26/2020

Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images

Detecting the changes of buildings in urban environments is essential. E...

20 Qing Zhu, et al. ∙

research

∙ 11/24/2020

Bayesian Landmark-based Shape Analysis of Tumor Pathology Images

Medical imaging is a form of technology that has revolutionized the medi...

0 Cong Zhang, et al. ∙

research

∙ 10/18/2020

Studying Visualization Guidelines According to Grounded Theory

Visualization guidelines, if defined properly, are invaluable to both pr...

0 Alexandra Diehl, et al. ∙

research

∙ 10/01/2020

Developing Effective Community Network Analysis Tools According to Visualization Psychology

Visualization is a useful technology in health science, and especially f...

0 Darren J. Edwards, et al. ∙

research

∙ 09/28/2020

The Huge Variable Space in Empirical Studies for Visualization – A Challenge as well as an opportunity for Visualization Psychology

In each of the last five years, a few dozen empirical studies appeared i...

0 Min Chen, et al. ∙

research

∙ 09/28/2020

A Testing Environment for Continuous Colormaps

Many computer science disciplines (e.g., combinatorial optimization, nat...

0 Pascal Nardini, et al. ∙

research

∙ 05/05/2020

When Machine Unlearning Jeopardizes Privacy

The right to be forgotten states that a data owner has the right to eras...

10 Min Chen, et al. ∙

research

∙ 02/12/2020

A Bounded Measure for Estimating the Benefit of Visualization

Information theory can be used to analyze the cost-benefit of visualizat...

0 Min Chen, et al. ∙

research

∙ 02/12/2020

HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models

In this paper, we present a visual analytics tool for enabling hypothesi...

0 Qianwen Wang, et al. ∙

research

∙ 12/03/2019

FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation

We present FlowNet3D++, a deep scene flow estimation network. Inspired b...

0 Zirui Wang, et al. ∙

research

∙ 11/19/2019

On the Upper Bound of the Kullback-Leibler Divergence and Cross Entropy

This archiving article consists of several short reports on the discussi...

0 Min Chen, et al. ∙

research

∙ 10/30/2019

Human-Like Hybrid Caching in Software-defined Edge Cloud

With the development of Internet of Things (IoT) and communication techn...

0 Yixue Hao, et al. ∙

research

∙ 10/08/2019

Visual Abstraction

In this article we revisit the concept of abstraction as it is used in v...

0 Ivan Viola, et al. ∙

research

∙ 09/06/2019

Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology

Empirical studies form an integral part of visualization research. Not o...

0 Alfie Abdul-Rahman, et al. ∙

research

∙ 07/03/2019

Cognitive Information Measurements: A New Perspective

From a traditional point of view, the value of information does not chan...

0 Min Chen, et al. ∙

research

∙ 06/06/2019

Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild

Emotion recognition plays an important role in human-computer interactio...

0 Jie Cai, et al. ∙

research

∙ 06/05/2019

AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework

There are a lot of hidden dangers in the change of human skin conditions...

0 Min Chen, et al. ∙

research

∙ 06/05/2019

A Sustainable Multi-modal Multi-layer Emotion-aware Service at the Edge

Limited by the computational capabilities and battery energy of terminal...

0 Long Hu, et al. ∙

research

∙ 06/05/2019

CreativeBioMan: Brain and Body Wearable Computing based Creative Gaming System

Current artificial intelligence (AI) technology is mainly used in ration...

0 Min Chen, et al. ∙

research

∙ 01/23/2019

Hierarchical Reinforcement Learning for Multi-agent MOBA Game

Although deep reinforcement learning has achieved great success recently...

0 Zhijian Zhang, et al. ∙

research

∙ 12/14/2018

The Value of Interaction in Data Intelligence

In human computer interaction (HCI), it is common to evaluate the value ...

0 Min Chen, et al. ∙

research

∙ 12/11/2018

Guided Exploration of Human Intentions for Human-Robot Interaction

Robot understanding of human intentions is essential for fluid human-rob...

0 Min Chen, et al. ∙

Min Chen

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