Search Results for author: Xu Ma

Found 24 papers, 10 papers with code

Enhancing Building Energy Efficiency through Advanced Sizing and Dispatch Methods for Energy Storage

no code implementations19 Oct 2023 Min Gyung Yu, Xu Ma, Bowen Huang, Karthik Devaprasad, Fredericka Brown, Di wu

The solution is determined considering both capital costs in optimal sizing and operational benefits in optimal dispatch.

Decision Making

Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing

no code implementations1 Oct 2023 Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei, Xu Ma

The complex systems with edge computing require a huge amount of multi-feature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption.

Computational Efficiency Decision Making +2

Image as Set of Points

2 code implementations2 Mar 2023 Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu

Context clusters (CoCs) view an image as a set of unorganized points and extract features via simplified clustering algorithm.

Clustering

Making Reconstruction-based Method Great Again for Video Anomaly Detection

1 code implementation28 Jan 2023 Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu

With the same perturbation magnitude, the testing reconstruction error of the normal frames lowers more than that of the abnormal frames, which contributes to mitigating the overfitting problem of reconstruction.

Anomaly Detection Optical Flow Estimation +1

Efficient Converted Spiking Neural Network for 3D and 2D Classification

no code implementations ICCV 2023 Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu

Spiking Neural Networks (SNNs) have attracted enormous research interest due to their low-power and biologically plausible nature.

Image Classification Point Cloud Classification

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective

1 code implementation ICCV 2023 Yulin Jin, XiaoYu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

The experimental evaluations manifest the superiority of SAT over other state-of-the-art AT mechanisms in defending against adversarial attacks against both output and intermediate layers.

Adversarial Attack Adversarial Robustness +1

A Close Look at Spatial Modeling: From Attention to Convolution

1 code implementation23 Dec 2022 Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu

Vision Transformers have shown great promise recently for many vision tasks due to the insightful architecture design and attention mechanism.

Instance Segmentation object-detection +2

Parameter-Efficient Masking Networks

1 code implementation13 Oct 2022 Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu

We validate the potential of PEMN learning masks on random weights with limited unique values and test its effectiveness for a new compression paradigm based on different network architectures.

Model Compression

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization

no code implementations7 Aug 2022 Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

To escape from the dilemma between domain generalization and annotation costs, in this paper, we introduce a novel task named label-efficient domain generalization (LEDG) to enable model generalization with label-limited source domains.

Domain Generalization

A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors

no code implementations12 Jun 2022 Qile Zhao, Xianhong Zhao, Xu Ma, Xudong Chen, Gonzalo R. Arce

Coded aperture snapshot spectral imaging (CASSI) is a technique used to reconstruct three-dimensional hyperspectral images (HSIs) from one or several two-dimensional projection measurements.

Compressive Sensing

Towards Layer-wise Image Vectorization

1 code implementation CVPR 2022 Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi

Image rasterization is a mature technique in computer graphics, while image vectorization, the reverse path of rasterization, remains a major challenge.

Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning

no code implementations25 Mar 2022 Tao Fu, Huifen Zhou, Xu Ma, Z. Jason Hou, Di wu

In this study, we develop a supervised machine learning approach to generate 1) the probability of the next operation day containing the peak hour of the month and 2) the probability of an hour to be the peak hour of the day.

BIG-bench Machine Learning Decision Making

Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation

no code implementations27 Feb 2022 Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin

To further boost model adaptation performance, we propose a novel method called Attention-based Cross-layer Domain Alignment (ACDA), which captures the semantic relationship between the source and target domains across model layers and calibrates each level of semantic information automatically through a dynamic attention mechanism.

Semantic Similarity Semantic Textual Similarity +1

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

1 code implementation ICLR 2022 Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu

We notice that detailed local geometrical information probably is not the key to point cloud analysis -- we introduce a pure residual MLP network, called PointMLP, which integrates no sophisticated local geometrical extractors but still performs very competitively.

3D Point Cloud Classification Point Cloud Segmentation

Online Self-Evolving Anomaly Detection in Cloud Computing Environments

1 code implementation16 Nov 2021 Haili Wang, Jingda Guo, Xu Ma, Song Fu, Qing Yang, Yunzhong Xu

As a distinct advantage of our framework, cloud system administrators only need to check a small number of detected anomalies, and their decisions are leveraged to update the detector.

Anomaly Detection Cloud Computing +2

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization

1 code implementation13 Oct 2021 Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang

Domain generalization (DG) aims to learn from multiple known source domains a model that can generalize well to unknown target domains.

Domain Generalization

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders

no code implementations4 Oct 2021 Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang

Meanwhile, the existing of unobserved confounders which affect the input features and labels simultaneously cause spurious correlation and hinder the learning of the invariant relationship contained in the conditional distribution.

Domain Generalization valid

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

1 code implementation2 Oct 2021 Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

In this paper, we investigate a Single Labeled Domain Generalization (SLDG) task with only one source domain being labeled, which is more practical and challenging than the CDG task.

Domain Generalization

Compressive Circular Polarization Snapshot Spectral Imaging

no code implementations29 Nov 2020 Jianglan Ning, Zhilong Xu, Dan Wu, Rui Zhang, Yuanyuan Wang, Yingge Xie, Wei Zhao, Xu Ma, Wenyi Ren

A compressive sensing based circular polarization snapshot spectral imaging system is proposed in this paper to acquire two-dimensional spatial, one-dimensional circular polarization (the right and left circular polarization), and one-dimensional spectral information, simultaneously.

Compressive Sensing Optics Image and Video Processing 78A10 (Primary) I.4.2; I.4.4; I.4.5

Compressive spectral image classification using 3D coded convolutional neural network

no code implementations23 Sep 2020 Hao Zhang, Xu Ma, Xianhong Zhao, Gonzalo R. Arce

The accuracy of classification is effectively improved by exploiting the synergy between the deep learning network and coded apertures.

Classification General Classification +1

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

no code implementations11 Jul 2020 Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong

Then, we introduce a general route search algorithm coupled with an efficient station binding method for efficient route candidate generation.

DCANet: Learning Connected Attentions for Convolutional Neural Networks

no code implementations9 Jul 2020 Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu

With DCANet, all attention blocks in a CNN model are trained jointly, which improves the ability of attention learning.

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