1 code implementation • 29 Oct 2023 • Zhen Qian, Min Chen, Zhuo Sun, Fan Zhang, Qingsong Xu, Jinzhao Guo, Zhiwei Xie, Zhixin Zhang
Understanding urban dynamics and promoting sustainable development requires comprehensive insights about buildings.
1 code implementation • 6 Sep 2023 • Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
In safety-critical domains such as autonomous vehicles, offline deep reinforcement learning (offline DRL) is frequently used to train models on pre-collected datasets, as opposed to training these models by interacting with the real-world environment as the online DRL.
no code implementations • 4 Sep 2023 • Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang
Chinese geographic re-ranking task aims to find the most relevant addresses among retrieved candidates, which is crucial for location-related services such as navigation maps.
1 code implementation • 26 Aug 2023 • Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
Instead of directly inverting the triggers, LMSanitator aims to invert the predefined attack vectors (pretrained models' output when the input is embedded with triggers) of the task-agnostic backdoors, which achieves much better convergence performance and backdoor detection accuracy.
1 code implementation • 10 May 2023 • Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen
We also explore some improvements that can maintain model utility and defend against MIAs more effectively.
no code implementations • 3 May 2023 • Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, Daniel Hershcovich
In this study, we propose a novel framework, RE-KBQA, that utilizes relations in the knowledge base to enhance entity representation and introduce additional supervision.
2 code implementations • 5 Apr 2023 • Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
Few-shot-based facial recognition systems have gained increasing attention due to their scalability and ability to work with a few face images during the model deployment phase.
1 code implementation • 30 Mar 2023 • Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, Daniel Hershcovich
The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue.
no code implementations • 21 Mar 2023 • Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang
In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.
no code implementations • 16 Mar 2023 • Hadi Alidoustaghdam, Min Chen, Ben Willetts, Kai Mao, André Kokkeler, Yang Miao
Additionally, human's random body movements deteriorate the estimation of breathing and heart rates, therefore the information of the chest location and a narrow radar beam toward the chest are demanded for more accurate vital sign estimation.
no code implementations • 2 Jan 2023 • Fan Zhang, Arianna Salazar Miranda, Fábio Duarte, Lawrence Vale, Gary Hack, Min Chen, Yu Liu, Michael Batty, Carlo Ratti
The visual dimension of cities has been a fundamental subject in urban studies, since the pioneering work of scholars such as Sitte, Lynch, Arnheim, and Jacobs.
no code implementations • CVPR 2023 • Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang
In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.
1 code implementation • 24 Nov 2022 • Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen
In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion.
no code implementations • 19 Aug 2022 • Zukang Liao, Pengfei Zhang, Min Chen
This ontology enables (i) efficient and meaningful search for background scenes of different semantic distances to a target image, (ii) quantitative control of the distribution and sparsity of the sampled background scenes, and (iii) quality assurance using visual representations of invariance testing results (referred to as variance matrices).
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 • Findings (NAACL) 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 other music 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 this paper, we show that testing the invariance qualities of ML models may result in complex visual patterns that cannot be classified using simple formulas.
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
QA for ML (QA4ML) interfaces require users to view a large amount of data and perform many interactions to correct errors made by the ML model.
1 code implementation • 27 Mar 2021 • Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In this paper, we propose GraphEraser, a novel machine unlearning framework tailored to graph data.
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
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
5 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.
Electroencephalogram (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