Search Results for author: Min Xu

Found 48 papers, 7 papers with code

Objects in Semantic Topology

no code implementations6 Oct 2021 Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu

A more realistic object detection paradigm, Open-World Object Detection, has arisen increasing research interests in the community recently.

Incremental Learning Language Modelling +1

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

no code implementations16 Aug 2021 Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

To tackle the above challenges, we employ gradient boosting decision trees (GBDT) to handle data heterogeneity and introduce multi-task learning (MTL) to solve data insufficiency.

Diabetes Prediction Multi-Task Learning

A Hybrid Vehicle Platoon for Connected and Automated Vehicles: Formulation, Stability Analysis, and Applications

no code implementations23 Jul 2021 Yuan Zheng, Min Xu, Shining Wu, Shuaian Wang

The findings have demonstrated the merits of the combined implementation of CTG and CS policy in enhancing the performance and applicability of the platoon system for CAVs.

Disentangling semantic features of macromolecules in Cryo-Electron Tomography

no code implementations27 Jun 2021 Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu

Cryo-electron tomography (Cryo-ET) is a 3D imaging technique that enables the systemic study of shape, abundance, and distribution of macromolecular structures in single cells in near-atomic resolution.

Electron Tomography

Estimating Instance-dependent Label-noise Transition Matrix using DNNs

no code implementations27 May 2021 Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

Traditionally, the transition from clean distribution to noisy distribution (i. e., clean label transition matrix) has been widely exploited to learn a clean label classifier by employing the noisy data.

An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

no code implementations13 Mar 2021 Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

Recent study shows that using a cascade of hourglass modules which consist of a number of bottom-up and top-down convolutional layers can extract facial structural information for face alignment to improve accuracy.

Face Alignment Face Detection +1

Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations

no code implementations8 Mar 2021 Haimin Zhang, Min Xu

Based on this observation, we propose a method for counteracting adversarial perturbations to improve adversarial robustness.

Adversarial Robustness

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks

1 code implementation20 Feb 2021 Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa

We show that applying stochastic scaling at the gradient level is complementary to that applied at the feature level to improve the overall performance.

Graph Learning

Free Lunch for Few-shot Learning: Distribution Calibration

2 code implementations ICLR 2021 Shuo Yang, Lu Liu, Min Xu

In this paper, we calibrate the distribution of these few-sample classes by transferring statistics from the classes with sufficient examples, then an adequate number of examples can be sampled from the calibrated distribution to expand the inputs to the classifier.

Few-Shot Learning

End-to-End Robust Joint Unsupervised Image Alignment and Clustering

no code implementations ICCV 2021 Xiangrui Zeng, Gregory Howe, Min Xu

To our knowledge, Jim-Net is the first end-to-end model that can simultaneously align and cluster images, which significantly improves the performance as compared to performing each task alone.

Electron Tomography

Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data

no code implementations28 Nov 2020 Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing

To bridge the methodological gaps in partially supervised learning (PSL) under data scarcity, we propose Vicinal Labels Under Uncertainty (VLUU), a simple yet efficient framework utilizing the human structure similarity for partially supervised medical image segmentation.

Data Augmentation Medical Image Segmentation +1

Weight Encode Reconstruction Network for Computed Tomography in a Semi-Case-Wise and Learning-Based Way

no code implementations2 Oct 2020 Hujie Pan, Xuesong Li, Min Xu

In the generalization test of the model, the encoder is transferable from a voxel set with complex structure to the unseen cases without the deduction of the accuracy.

Denoising

Experimental Analysis of Legendre Decomposition in Machine Learning

no code implementations12 Aug 2020 Jianye Pang, Kai Yi, Wanguang Yin, Min Xu

In this technical report, we analyze Legendre decomposition for non-negative tensor in theory and application.

Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms

no code implementations30 Jul 2020 Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu

Motivation: Cryo-Electron Tomography (cryo-ET) visualizes structure and spatial organization of macromolecules and their interactions with other subcellular components inside single cells in the close-to-native state at sub-molecular resolution.

Classification Domain Adaptation +2

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking

no code implementations17 Mar 2020 Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Liangqi Zhang, Yan Xu, Tianjiang Wang, Qi Feng

Recently spiking neural networks (SNNs), the third-generation of neural networks has shown remarkable capabilities of energy-efficient computing, which is a promising alternative for deep neural networks (DNNs) with high energy consumption.

Image Classification Visual Object Tracking

Single-View 3D Object Reconstruction from Shape Priors in Memory

no code implementations CVPR 2021 Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, Jiahao Xia

Inspired by this, we propose a novel method, named Mem3D, that explicitly constructs shape priors to supplement the missing information in the image.

3D Object Reconstruction 3D Reconstruction +3

AITom: Open-source AI platform for cryo-electron tomography data analysis

1 code implementation8 Nov 2019 Xiangrui Zeng, Min Xu

Cryo-electron tomography (cryo-ET) is an emerging technology for the 3D visualization of structural organizations and interactions of subcellular components at near-native state and sub-molecular resolution.

Electron Tomography

A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis

no code implementations5 Oct 2019 Wei Wu, Xukun Li, Peng Du, Guanjing Lang, Min Xu, Kaijin Xu, Lanjuan Li

The best model was selected to annotate the spatial location of lesions and classify them into miliary, infiltrative, caseous, tuberculoma and cavitary types simultaneously. Then the Noisy-Or Bayesian function was used to generate an overall infection probability. Finally, a quantitative diagnostic report was exported. The results showed that the recall and precision rates, from the perspective of a single lesion region of PTB, were 85. 9% and 89. 2% respectively.

Computed Tomography (CT) Decision Making +1

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection

1 code implementation ICCV 2019 Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao

We formulate the CRF graphical model that involves message-passing of feature-feature, feature-prediction, and prediction-prediction, from the coarse scale to the finer scale, to update the features and the corresponding predictions.

RGB Salient Object Detection Salient Object Detection

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

no code implementations7 Sep 2019 Meng Xia, Huan Wei, Min Xu, Leo Yu Ho Lo, Yong Wang, Rong Zhang, Huamin Qu

With increasing popularity in online learning, a surge of E-learning platforms have emerged to facilitate education opportunities for k-12 (from kindergarten to 12th grade) students and with this, a wealth of information on their learning logs are getting recorded.

Improving Utility and Security of the Shuffler-based Differential Privacy

1 code implementation30 Aug 2019 Tianhao Wang, Bolin Ding, Min Xu, Zhicong Huang, Cheng Hong, Jingren Zhou, Ninghui Li, Somesh Jha

When collecting information, local differential privacy (LDP) alleviates privacy concerns of users because their private information is randomized before being sent it to the central aggregator.

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

no code implementations27 Aug 2019 Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu

Deep learning model trained by imbalanced data may not work satisfactorily since it could be determined by major classes and thus may ignore the classes with small amount of data.

Classification Electron Tomography +1

Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization

no code implementations11 Jun 2018 Haimin Zhang, Min Xu

This architecture forces the network to learn discriminative class-specific features by analyzing and comparing two input images.

Image Classification

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations

no code implementations31 May 2018 Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu

The weighted feature maps are combined to produce a heatmap that highlights the important regions in the image for predicting the target concept.

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography

no code implementations16 May 2018 Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu

Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells.

Classification General Classification +2

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching

no code implementations12 May 2018 Kai Wen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu

Cellular Electron CryoTomography (CECT) is a 3D imaging technique that captures information about the structure and spatial organization of macromolecular complexes within single cells, in near-native state and at sub-molecular resolution.

Template Matching Two-sample testing

An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification

no code implementations4 Apr 2018 Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu

Existing subtomogram alignment based methods are prone to the missing wedge effects and low signal-to-noise ratio (SNR).

General Classification

AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding

no code implementations24 Mar 2018 Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu

Existing methods usually adopt a "one-size-fits-all" approach when concerning multi-scale structure information, such as first- and second-order proximity of nodes, ignoring the fact that different scales play different roles in the embedding learning.

Network Embedding

Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms

no code implementations12 Feb 2018 Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric Xing, Min Xu

Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution.

Semantic Segmentation

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms

no code implementations31 Jan 2018 Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu

To complement and speed up existing segmentation methods, it is desirable to develop a generic cell component segmentation method that is 1) not specific to particular types of cellular components, 2) able to segment unknown cellular components, 3) fully unsupervised and does not rely on the availability of training data.

Saliency Detection

A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

no code implementations15 Jun 2017 Xiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai, Min Xu

We demonstrate that the autoencoder can be used for efficient and coarse characterization of features of macromolecular complexes and surfaces, such as membranes.

Weakly-Supervised Semantic Segmentation

Experience enrichment based task independent reward model

no code implementations21 May 2017 Min Xu

For most reinforcement learning approaches, the learning is performed by maximizing an accumulative reward that is expectedly and manually defined for specific tasks.

Learning Multi-level Deep Representations for Image Emotion Classification

no code implementations22 Nov 2016 Tianrong Rao, Min Xu, Dong Xu

The proposed MldrNet combines deep representations of different levels, i. e. image semantics, image aesthetics, and low-level visual features to effectively classify the emotion types of different kinds of images, such as abstract paintings and web images.

Classification Emotion Classification +1

Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos

no code implementations20 Mar 2016 Haimin Zhang, Min Xu

By this way, static image features extracted from a pre-trained deep CNN and temporal information represented by DFT features are jointly considered for video emotion recognition.

Emotion Classification Video Emotion Recognition

Integrative analysis of gene expression and phenotype data

no code implementations29 Jun 2015 Min Xu

We propose a method of automated multi-dimensional profiling which uses gene expression similarity.

Experimental Design

Global Gene Expression Analysis Using Machine Learning Methods

no code implementations5 Jun 2015 Min Xu

The large amount of expression data generated by this technology makes the study of certain complex biological problems possible and machine learning methods are playing a crucial role in the analysis process.

Classification Feature Selection +1

Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods

no code implementations5 Jun 2015 Min Xu, Rudy Setiono

Various approaches to gene selection for cancer classification based on microarray data can be found in the literature and they may be grouped into two categories: univariate methods and multivariate methods.

Classification Feature Selection +1

Automatic tracking of protein vesicles

no code implementations5 Jun 2015 Min Xu

In this thesis, we formulate such tracking problem as video object tracking problem, and design a dynamic programming method for tracking single object.

Multiple Object Tracking Video Object Tracking

Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising

no code implementations NeurIPS 2013 Min Xu, Tao Qin, Tie-Yan Liu

In search advertising, the search engine needs to select the most profitable advertisements to display, which can be formulated as an instance of online learning with partial feedback, also known as the stochastic multi-armed bandit (MAB) problem.

Selection bias

Noise Thresholds for Spectral Clustering

no code implementations NeurIPS 2011 Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh

Although spectral clustering has enjoyed considerable empirical success in machine learning, its theoretical properties are not yet fully developed.

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