Search Results for author: Min Chen

Found 34 papers, 5 papers with code

Finding MNEMON: Reviving Memories of Node Embeddings

no code implementations14 Apr 2022 Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini

Previous security research efforts orbiting around graphs have been exclusively focusing on either (de-)anonymizing the graphs or understanding the security and privacy issues of graph neural networks.

Graph Embedding

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

1 code implementation12 Apr 2022 Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Hwang Kai

Sign language recognition and translation first uses a recognition module to generate glosses from sign language videos and then employs a translation module to translate glosses into spoken sentences.

Data Augmentation Sign Language Recognition +2

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

no code implementations22 Jan 2022 Han Hu, Xinrong Liang, Yulin Ding, Qisen Shang, Bo Xu, Xuming Ge, Min Chen, Ruofei Zhong, Qing Zhu

Unfortunately, the large amount of interactive sample labeling efforts has dramatically hindered the application of deep learning methods, especially for 3D modeling tasks, which require heterogeneous samples.

Visualizing Ensemble Predictions of Music Mood

no code implementations14 Dec 2021 Zelin Ye, Min Chen

Music mood classification has been a challenging problem in comparison with some other classification problems (e. g., genre, composer, or period).

Inference Attacks Against Graph Neural Networks

1 code implementation6 Oct 2021 Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang

Second, given a subgraph of interest and the graph embedding, we can determine with high confidence that whether the subgraph is contained in the target graph.

Graph Classification Graph Embedding +1

Deep Fraud Detection on Non-attributed Graph

no code implementations4 Oct 2021 Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu

The successes of most previous methods heavily rely on rich node features and high-fidelity labels.

Contrastive Learning Fraud Detection

ML4ML: Automated Invariance Testing for Machine Learning Models

1 code implementation27 Sep 2021 Zukang Liao, Pengfei Zhang, Min Chen

In machine learning workflows, determining invariance qualities of a model is a common testing procedure.

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

no code implementations21 Apr 2021 Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma

Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4. 0 on the edge computing level.

Edge-computing Federated Learning

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

no code implementations2 Apr 2021 Yu Zhang, Martijn Tennekes, Tim De Jong, Lyana Curier, Bob Coecke, Min Chen

Because QA4ML users have to view a non-trivial amount of data and perform many input actions to correct errors made by the ML model, an optimally-designed user interface (UI) can reduce the cost of interactions significantly.

Graph Unlearning

no code implementations27 Mar 2021 Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

In the context of machine learning (ML), it requires the ML model provider to remove the data subject's data from the training set used to build the ML model, a process known as \textit{machine unlearning}.

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

no code implementations3 Mar 2021 Min Chen, Alfie Abdul-Rahman, Deborah Silver, Mateu Sbert

The recently-proposed information-theoretic measure for analyzing the cost-benefit ratio of visualization processes can explain such usefulness experienced in practice, and postulate that the viewers' knowledge can reduce the potential distortion (e. g., misinterpretation) due to information loss.

Human-Computer Interaction Graphics Information Theory Information Theory

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

no code implementations3 Mar 2021 Min Chen, Mateu Sbert

We examine a number of bounded measures that include the Jenson-Shannon divergence and a new divergence measure formulated as part of this work.

Information Theory Graphics Human-Computer Interaction Information Theory

NeRF--: Neural Radiance Fields Without Known Camera Parameters

4 code implementations14 Feb 2021 ZiRui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu

Considering the problem of novel view synthesis (NVS) from only a set of 2D images, we simplify the training process of Neural Radiance Field (NeRF) on forward-facing scenes by removing the requirement of known or pre-computed camera parameters, including both intrinsics and 6DoF poses.

Novel View Synthesis

Study on multi-fold bunch splitting in a high-intensity medium-energy proton synchrotron

no code implementations3 Feb 2021 Linhao Zhang, Min Chen, Jingyu Tang

Bunch splitting is an RF manipulation method of changing the bunch structure, bunch numbers and bunch intensity in the high-intensity synchrotrons that serve as the injector for a particle collider.

Accelerator Physics

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

no code implementations26 Nov 2020 Qing Zhu, Shengzhi Huang, Han Hu, Haifeng Li, Min Chen, Ruofei Zhong

Finally, multi-view information from both the nadir and oblique images is used in a robust voting procedure to label changes in existing buildings.

DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks

no code implementations17 Jul 2020 Rui Wang, Min Chen, Nadra Guizani, Yong Li, Hamid Gharavi, Kai Hwang

A self-adaptive QoE model is set up that relates the model's accuracy with the computing resources required for training which will allow the experience value of the model to improve.

Crowd Counting

When Machine Unlearning Jeopardizes Privacy

1 code implementation5 May 2020 Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

More importantly, we show that our attack in multiple cases outperforms the classical membership inference attack on the original ML model, which indicates that machine unlearning can have counterproductive effects on privacy.

Inference Attack Membership Inference Attack

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

no code implementations12 Feb 2020 Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen

In this paper, we present a visual analytics tool for enabling hypothesis-based evaluation of machine learning (ML) models.

Two-sample testing

A Bounded Measure for Estimating the Benefit of Visualization

no code implementations12 Feb 2020 Min Chen, Mateu Sbert, Alfie Abdul-Rahman, Deborah Silver

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

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

no code implementations6 Jun 2019 Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O'Reilly, Shizhong Han, Ping Liu, Min Chen, Yan Tong

In this paper, we proposed two strategies to fuse information extracted from different modalities, i. e., audio and visual.

Emotion Recognition

Hierarchical Reinforcement Learning for Multi-agent MOBA Game

no code implementations23 Jan 2019 Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou

Real Time Strategy (RTS) games require macro strategies as well as micro strategies to obtain satisfactory performance since it has large state space, action space, and hidden information.

Hierarchical Reinforcement Learning Imitation Learning +2

Wearable Affective Robot

no code implementations25 Oct 2018 Min Chen, Jun Zhou, Guangming Tao, Jun Yang, Long Hu

The learning algorithm for the life modeling embedded in Fitbot can achieve better user's experience of affective social interaction.

EEG Human-Computer Interaction

Background Subtraction using Compressed Low-resolution Images

no code implementations24 Oct 2018 Min Chen, Andy Song, Shivanthan A. C. Yhanandan, Jing Zhang

The essential first step involved in almost all the visual tasks is background subtraction with a static camera.

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

no code implementations19 Sep 2018 Xiaofei Wang, Yiwen Han, Chenyang Wang, Qiyang Zhao, Xu Chen, Min Chen

In order to bring more intelligence to the edge systems, compared to traditional optimization methodology, and driven by the current deep learning techniques, we propose to integrate the Deep Reinforcement Learning techniques and Federated Learning framework with the mobile edge systems, for optimizing the mobile edge computing, caching and communication.

Edge-computing Federated Learning

Collimated GeV attosecond electron-positron bunches from a plasma channel driven by 10 PW lasers

no code implementations1 Aug 2018 Xing-Long Zhu, Zheng-Ming Sheng, Min Chen, Tong-Pu Yu, Su-Ming Weng

High-energy positrons and bright {\gamma}-ray sources are unique both for fundamental research and practical applications.

Plasma Physics

Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning

no code implementations12 Jan 2018 Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha Srinivasa

The trust-POMDP model provides a principled approach for the robot to (i) infer the trust of a human teammate through interaction, (ii) reason about the effect of its own actions on human trust, and (iii) choose actions that maximize team performance over the long term.

Decision Making

Detecting Small Signs from Large Images

no code implementations26 Jun 2017 Zibo Meng, Xiaochuan Fan, Xin Chen, Min Chen, Yan Tong

Experimental results on a real-world conditioned traffic sign dataset have demonstrated the effectiveness of the proposed method in terms of detection accuracy and recall, especially for those with small sizes.

object-detection Object Detection

Brain Intelligence: Go Beyond Artificial Intelligence

no code implementations4 Jun 2017 Huimin Lu, Yujie Li, Min Chen, Hyoungseop Kim, Seiichi Serikawa

Specifically, we plan to develop an intelligent learning model called Brain Intelligence (BI) that generates new ideas about events without having experienced them by using artificial life with an imagine function.

Artificial Life Industrial Robots

Underwater Optical Image Processing: A Comprehensive Review

no code implementations13 Feb 2017 Huimin Lu, Yujie Li, Yudong Zhang, Min Chen, Seiichi Serikawa, Hyoungseop Kim

This paper aims to review the state-of-the-art techniques in underwater image processing by highlighting the contributions and challenges presented in over 40 papers.

POMDP-lite for Robust Robot Planning under Uncertainty

no code implementations16 Feb 2016 Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee

We show that a POMDP-lite is equivalent to a set of fully observable Markov decision processes indexed by a hidden parameter and is useful for modeling a variety of interesting robotic tasks.

reinforcement-learning

Service-Oriented Architectures and Web Services: Course Tutorial and Lab Notes

no code implementations17 Jul 2009 Serguei A. Mokhov, Shahriar Rostami, Hammad Ali, Min Chen, Yuhong Yan

This document presents a number of quick-step instructions to get started on writing mini-service-oriented web services-based applications using OpenESB 2. 31, Tomcat 6, GlassFish 2. x/3. 0. 1 with BPEL support, and Java 1. 6+ primarily in Scientific Linux 6. 6 with user quota restrictions.

Distributed, Parallel, and Cluster Computing Software Engineering 68N15, 68U35 H.3.5; C.2.4; D.1.3

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