no code implementations • 14 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.
1 code implementation • 12 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.
no code implementations • 22 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.
no code implementations • 14 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).
1 code implementation • 6 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.
no code implementations • 4 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.
1 code implementation • 27 Sep 2021 • Zukang Liao, Pengfei Zhang, Min Chen
In machine learning workflows, determining invariance qualities of a model is a common testing procedure.
no code implementations • 21 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.
no code implementations • 2 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.
no code implementations • 27 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}.
no code implementations • 3 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
no code implementations • 3 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
4 code implementations • 14 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.
no code implementations • 3 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
no code implementations • 26 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.
no code implementations • 17 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.
1 code implementation • 5 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.
no code implementations • 12 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.
no code implementations • 12 Feb 2020 • Min Chen, Mateu Sbert, Alfie Abdul-Rahman, Deborah Silver
Information theory can be used to analyze the cost-benefit of visualization processes.
no code implementations • 3 Dec 2019 • Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen
We present FlowNet3D++, a deep scene flow estimation network.
no code implementations • 6 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.
no code implementations • 5 Jun 2019 • Min Chen, Ping Zhou, Di wu, Long Hu, Mohammad Mehedi Hassan, Atif Alamri
First, the wide collection of data in the close-loop information flow of user and remote medical data center is discussed.
no code implementations • 23 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.
no code implementations • 25 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
no code implementations • 24 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.
no code implementations • 19 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.
no code implementations • 1 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
no code implementations • 12 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.
no code implementations • 26 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.
no code implementations • 4 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.
no code implementations • 13 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.
no code implementations • 16 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.
no code implementations • 17 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