Search Results for author: Jie Yang

Found 140 papers, 36 papers with code

The Science of Rejection: A Research Area for Human Computation

no code implementations11 Nov 2021 Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati

We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.

OctField: Hierarchical Implicit Functions for 3D Modeling

no code implementations NeurIPS 2021 Jia-Heng Tang, Weikai Chen, Jie Yang, Bo wang, Songrun Liu, Bo Yang, Lin Gao

We achieve this goal by introducing a hierarchical octree structure to adaptively subdivide the 3D space according to the surface occupancy and the richness of part geometry.

C$^2$SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction

no code implementations26 Oct 2021 Di wu, Yi Shi, Ziyu Wang, Jie Yang, Mohamad Sawan

Although compressive sensing (CS) can be adopted to compress the signals to reduce communication bandwidth requirement, it needs a complex reconstruction procedure before the signal can be used for seizure prediction.

Compressive Sensing Seizure prediction

AEFE: Automatic Embedded Feature Engineering for Categorical Features

no code implementations19 Oct 2021 Zhenyuan Zhong, Jie Yang, Yacong Ma, Shoubin Dong, Jinlong Hu

The challenge of solving data mining problems in e-commerce applications such as recommendation system (RS) and click-through rate (CTR) prediction is how to make inferences by constructing combinatorial features from a large number of categorical features while preserving the interpretability of the method.

Click-Through Rate Prediction Feature Engineering +2

Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism

no code implementations19 Oct 2021 Heng Fan, Jiaxiang Ren, Jie Yang, Yi-Xian Qin, Haibin Ling

The aim of this study was to investigate whether a deep convolutional neural network (CNN) with an attention module can detect osteoporosis on panoramic radiographs.


Demographic Biases of Crowd Workers in Key Opinion Leaders Finding

no code implementations18 Oct 2021 Hossein A. Rahmani, Jie Yang

Key Opinion Leaders (KOLs) are people that have a strong influence and their opinions are listened to by people when making important decisions.

3D Human Pose Estimation for Free-form Activity Using WiFi Signals

no code implementations15 Oct 2021 Yili Ren, Jie Yang

Our system tracks free-form activity by estimating a 3D skeleton pose that consists of a set of joints of the human body.

3D Human Pose Estimation 3D Human Pose Tracking

Visual Anomaly Detection for Images: A Survey

no code implementations27 Sep 2021 Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi

Visual anomaly detection is an important and challenging problem in the field of machine learning and computer vision.

Anomaly Detection

Context-guided Triple Matching for Multiple Choice Question Answering

no code implementations27 Sep 2021 Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li

The task of multiple choice question answering (MCQA) refers to identifying a suitable answer from multiple candidates, by estimating the matching score among the triple of the passage, question and answer.

Question Answering

N15News: A New Dataset for Multimodal News Classification

no code implementations30 Aug 2021 Zhen Wang, Xu Shan, Jie Yang

Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification.

Classification News Classification

Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images

no code implementations18 Aug 2021 Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

Second, most of the standard methods used hand-crafted features, and do not work well on the detection of objects parts of which are missing.

Weakly Supervised Object Detection

An End-to-End Deep Learning Approach for Epileptic Seizure Prediction

no code implementations17 Aug 2021 Yankun Xu, Jie Yang, Shiqi Zhao, Hemmings Wu, Mohamad Sawan

Conventional seizure prediction works usually rely on features extracted from Electroencephalography (EEG) recordings and classification algorithms such as regression or support vector machine (SVM) to locate the short time before seizure onset.

EEG Seizure prediction

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

1 code implementation15 Jul 2021 Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng

The effectiveness and superior performance of our approach are validated through comprehensive experiments in a range of applications.

image smoothing

LightFuse: Lightweight CNN based Dual-exposure Fusion

1 code implementation5 Jul 2021 Ziyi Liu, Jie Yang, Svetlana Yanushkevich, Orly Yadid-Pecht

Deep convolutional neural networks (DCNN) aided high dynamic range (HDR) imaging recently received a lot of attention.

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset

no code implementations24 Jun 2021 Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu

The correlation between nodules and the counting number of airways and vessels that contact or project towards nodules are respectively (OR=22. 96, \chi^2=105. 04) and (OR=7. 06, \chi^2=290. 11).

Computed Tomography (CT)

Liquid Sensing Using WiFi Signals

no code implementations18 Jun 2021 Yili Ren, Jie Yang

Among those services, sensing the liquid level in a container is critical to building many smart home and mobile healthcare applications that improve the quality of life.

supervised adptive threshold network for instance segmentation

no code implementations7 Jun 2021 Kuikun Liu, Jie Yang, Cai Sun, Haoyuan Chi

Currently, instance segmentation is attracting more and more attention in machine learning region.

Binarization Instance Segmentation +1

Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery

no code implementations2 Jun 2021 Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang

The proposed model adopts single-shot detector in parallel with a lightweight image pyramid module to extract representative features and generate regions of interest in an optimization approach.

Object Detection

A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction

no code implementations5 May 2021 Ziyu Wang, Jie Yang, Mohamad Sawan

Accurate prediction of epileptic seizures allows patients to take preventive measures in advance to avoid possible injuries.

EEG Seizure prediction

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

1 code implementation3 May 2021 Jing Huang, Jie Yang

In this paper, we propose UniGNN, a unified framework for interpreting the message passing process in graph and hypergraph neural networks, which can generalize general GNN models into hypergraphs.

Graph Representation Learning

Residual Enhanced Multi-Hypergraph Neural Network

1 code implementation2 May 2021 Jing Huang, Xiaolin Huang, Jie Yang

Hypergraphs are a generalized data structure of graphs to model higher-order correlations among entities, which have been successfully adopted into various research domains.

Representation Learning

Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels

1 code implementation13 Apr 2021 Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang

Random Fourier Features (RFF) demonstrate wellappreciated performance in kernel approximation for largescale situations but restrict kernels to be stationary and positive definite.

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation

1 code implementation8 Mar 2021 Lingtong Kong, Chunhua Shen, Jie Yang

Experiments on both synthetic Sintel data and real-world KITTI datasets demonstrate the effectiveness of the proposed approach, which needs only 1/10 computation of comparable networks to achieve on par accuracy.

Optical Flow Estimation

Unsupervised Motion Representation Enhanced Network for Action Recognition

no code implementations5 Mar 2021 Xiaohang Yang, Lingtong Kong, Jie Yang

Learning reliable motion representation between consecutive frames, such as optical flow, has proven to have great promotion to video understanding.

Action Recognition Optical Flow Estimation +2

A New Neuromorphic Computing Approach for Epileptic Seizure Prediction

no code implementations25 Feb 2021 Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan

Motivated by the energy-efficient spiking neural networks (SNNs), a neuromorphic computing approach for seizure prediction is proposed in this work.

EEG Seizure prediction

Deep Deformation Detail Synthesis for Thin Shell Models

no code implementations23 Feb 2021 Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai

Moreover, as such methods only add details, they require coarse meshes to be close to fine meshes, which can be either impossible, or require unrealistic constraints when generating fine meshes.

Mobile-end Tone Mapping based on Integral Image and Integral Histogram

no code implementations2 Feb 2021 Jie Yang, Mengchen Lin, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht

It is especially crucial for mobile devices because most of the images taken today are from mobile phones, hence such technology is highly demanded in the consumer market of mobile devices and is essential for a good customer experience.

Tone Mapping

Tone Mapping Based on Multi-scale Histogram Synthesis

1 code implementation31 Jan 2021 Jie Yang, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht

HVS perceives luminance differently when under different adaptation levels, and therefore our algorithm uses functions built upon different scales to tone map pixels to different values.

Tone Mapping

Deep Reformulated Laplacian Tone Mapping

1 code implementation31 Jan 2021 Jie Yang, Ziyi Liu, Mengchen Lin, Svetlana Yanushkevich, Orly Yadid-Pecht

The reformulated Laplacian pyramid always decompose a WDR image into two frequency bands where the low-frequency band is global feature-oriented, and the high-frequency band is local feature-oriented.

Tone Mapping

OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow

no code implementations31 Jan 2021 Lingtong Kong, Xiaohang Yang, Jie Yang

Optical flow estimation is an essential step for many real-world computer vision tasks.

Optical Flow Estimation

A Survey on Extraction of Causal Relations from Natural Language Text

no code implementations16 Jan 2021 Jie Yang, Soyeon Caren Han, Josiah Poon

Existing causality extraction techniques include knowledge-based, statistical machine learning(ML)-based, and deep learning-based approaches.

Feature Engineering Relation Extraction +1

Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning

no code implementations ICCV 2021 Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao

Inspired by the great success in recent contrastive learning works on self-supervised representation learning, we propose a novel IBSR pipeline leveraging contrastive learning.

3D Shape Retrieval Contrastive Learning +3

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

1 code implementation26 Dec 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang

However, there is a lack of comprehensive review in this field, especially lack of a collection of GANs loss-variant, evaluation metrics, remedies for diverse image generation, and stable training.

Image-to-Image Translation Translation

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation

1 code implementation13 Dec 2020 Jie Yang, Yong Shi, Zhiquan Qi

Concretely, we develop a multi-scale regional feature generator that can generate multiple spatial context-aware representations from pre-trained deep convolutional networks for every subregion of an image.

Ranked #17 on Anomaly Detection on MVTec AD (using extra training data)

Anomaly Detection

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT

no code implementations10 Dec 2020 Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang

Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and background.

Representation Learning

Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders

no code implementations4 Dec 2020 Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai

The attention mechanism is designed to learn to softly weight multi-scale deformation components in active deformation regions, and the stacked attention-based autoencoder is learned to represent the deformation components at different scales.

Unsupervised anomaly segmentation via deep feature reconstruction

1 code implementation26 Nov 2020 Jie Yang

Concretely, we develop a multi-scale regional feature generator that can generate multiple spatial context-aware representations from pre-trained deep convolutional networks for every subregion of an image.

Anomaly Detection

Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation

1 code implementation24 Nov 2020 Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang

Due to the small size and scattered spatial distribution of peripheral bronchi, this is hampered by severe class imbalance between foreground and background regions, which makes it challenging for CNN-based methods to parse distal small airways.

Action Segmentation

Towards Robust Neural Networks via Orthogonal Diversity

1 code implementation23 Oct 2020 Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang

Despite of the efficiency on defending specific attacks, adversarial training essentially benefits from the data augmentation, but does not contribute to the robustness of DNN itself, and usually suffers accuracy drop on clean data as well as inefficiency on unknown attacks.

Adversarial Robustness Data Augmentation

One-shot Distributed Algorithm for Generalized Eigenvalue Problem

no code implementations22 Oct 2020 Kexin Lv, Fan He, Xiaolin Huang, Jie Yang, Liming Chen

Nowadays, more and more datasets are stored in a distributed way for the sake of memory storage or data privacy.

RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval

1 code implementation2 Oct 2020 Rao Fu, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao

Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to be capable of representing detailed geometric information to discriminate shapes with globally similar structures.

3D Object Retrieval 3D Shape Retrieval

Learn Robust Features via Orthogonal Multi-Path

no code implementations28 Sep 2020 Kun Fang, Xiaolin Huang, Yingwen Wu, Tao Li, Jie Yang

To defend adversarial attacks, we design a block containing multiple paths to learn robust features and the parameters of these paths are required to be orthogonal with each other.

Integrated Communication and Localization in mmWave Systems

no code implementations28 Sep 2020 Jie Yang, Jing Xu, Xiao Li, Shi Jin, Bo Gao

As the fifth-generation (5G) mobile communication system is being commercialized, extensive studies on the evolution of 5G and sixth-generation mobile communication systems have been conducted.

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification

no code implementations19 Sep 2020 Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang

Nowadays, deep learning methods, especially the Graph Convolutional Network (GCN), have shown impressive performance in hyperspectral image (HSI) classification.

Classification General Classification +3

End-to-end Kernel Learning via Generative Random Fourier Features

no code implementations10 Sep 2020 Kun Fang, Xiaolin Huang, Fanghui Liu, Jie Yang

However, since the ideal kernel in kernel alignment problem is not necessarily optimal in classification tasks, the generalization performance of the random features learned in this two-stage manner can perhaps be further improved.

Improving Language Generation with Sentence Coherence Objective

1 code implementation7 Sep 2020 Ruixiao Sun, Jie Yang, Mehrdad Yousefzadeh

Conditional story generation and contextual text continuation have become increasingly popular topics in NLP community.

Language Modelling Story Generation

DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation

1 code implementation12 Aug 2020 Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao

While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric details and complex structure, in a controllable manner.

3D Shape Generation

Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks

1 code implementation10 Aug 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Ruili Wang, Jie Yang

We also propose a feature pyramid network that improves the performance of the proposed model by extracting effective features from all the layers of the network for describing different scales objects.

Domain Adaptation Image Generation

Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis

no code implementations7 Aug 2020 Masoumeh Zareapoor, Pourya Shamsolmoali, Jie Yang

In particular, we restore the balance in the imbalanced dataset by generating faulty samples from the proposed mixture of data distribution.

Fault Detection

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning

no code implementations9 Jul 2020 Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes previously identified on autopsy.

Computed Tomography (CT)

FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network

no code implementations22 Jun 2020 Lingtong Kong, Jie Yang

Significant progress has been made for estimating optical flow using deep neural networks.

Optical Flow Estimation

Analysis of Regularized Least Squares in Reproducing Kernel Krein Spaces

no code implementations1 Jun 2020 Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens

In this paper, we study the asymptotic properties of regularized least squares with indefinite kernels in reproducing kernel Krein spaces (RKKS).

Hierarchical Feature Embedding for Attribute Recognition

no code implementations CVPR 2020 Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu

Attribute recognition is a crucial but challenging task due to viewpoint changes, illumination variations and appearance diversities, etc.

Hierarchical structure

Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting

1 code implementation ECCV 2020 Xiyang Liu, Jie Yang, Wenrui Ding

The crowd counting task aims at estimating the number of people located in an image or a frame from videos.

Crowd Counting

One-shot Distibuted Algorithm for PCA with RBF Kernels

1 code implementation6 May 2020 Fan He, Kexin Lv, Jie Yang, Xiaolin Huang

This letter proposes a one-shot algorithm for feature-distributed kernel PCA.

Clustering via torque balance with mass and distance

no code implementations27 Apr 2020 Jie Yang, Chin-Teng Lin

Grouping similar objects is a fundamental tool of scientific analysis, ubiquitous in disciplines from biology and chemistry to astronomy and pattern recognition.

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach

no code implementations23 Apr 2020 Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang

To overcome this limitation, in this paper, we propose a sparse generalized canonical correlation analysis (GCCA), which could detect the latent relations of multiview data with sparse structures.

Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks

no code implementations5 Apr 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen, Abdul Hamid Sadka, Jie Yang

It improves learning from imbalanced data by incorporating the majority distribution structure in the generation of new minority samples.

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention

no code implementations19 Mar 2020 Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang

In particular, we incorporate a disparity-based constraint mechanism into the generation of SR images in a deep neural network framework with an additional atrous parallax-attention modules.

Image Super-Resolution

AMIL: Adversarial Multi Instance Learning for Human Pose Estimation

1 code implementation18 Mar 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

The proposed adversarial residual multi-instance neural network that is based on pooling has been validated on two datasets for the human pose estimation task and successfully outperforms the other state-of-arts models.

Multiple Instance Learning Pose Estimation +1

A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

no code implementations17 Mar 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Ruili Wang, Huiyu Zhou, Jie Yang

This paper presents a novel deep neural network structure for pixel-wise sea-land segmentation, a Residual Dense U-Net (RDU-Net), in complex and high-density remote sensing images.

Learning to Incorporate Structure Knowledge for Image Inpainting

1 code implementation11 Feb 2020 Jie Yang, Zhiquan Qi, Yong Shi

This paper develops a multi-task learning framework that attempts to incorporate the image structure knowledge to assist image inpainting, which is not well explored in previous works.

Image Inpainting Multi-Task Learning

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet

no code implementations16 Jan 2020 Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang

AoA enjoys a significant increase in transferability when the traditional cross entropy loss is replaced with the attention loss.

Adversarial Attack

Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval

no code implementations14 Jan 2020 Lu Wang, Jie Yang

Due to the superiority in similarity computation and database storage for large-scale multiple modalities data, cross-modal hashing methods have attracted extensive attention in similarity retrieval across the heterogeneous modalities.

Cross-Modal Retrieval Quantization

Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection

no code implementations29 Dec 2019 Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang

In addition, the results also demonstrate that the higher-precision bottom layers could boost the 1-bit network performance appreciably due to a better preservation of the original image information while the lower-precision posterior layers contribute to the regularization of $k-$bit networks.

General Classification Image Classification +2

CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging

no code implementations17 Dec 2019 Zeyu Deng, Lihui Wang, Zixiang Kuai, Qijian Chen, Xinyu Cheng, Feng Yang, Jie Yang, Yue-Min Zhu

The results on both simulated and acquired in vivo cardiac DW images showed that the proposed WSCNN method effectively compensates for motion-induced signal loss and produces in vivo cardiac DW images with better quality and more coherent fiber structures with respect to existing methods, which makes it an interesting method for measuring correctly the diffusion properties of the in vivo human heart in DTI under free breathing.

Motion Compensation Translation

A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection

no code implementations2 Dec 2019 Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux

Such approaches are, however, limited as they fail to reliably estimate the informativeness of a keyword and its expectation for model training.

Event Detection

Adaptive Initialization Method for K-means Algorithm

no code implementations27 Nov 2019 Jie Yang, Yu-Kai Wang, Xin Yao, Chin-Teng Lin

(c) The time complexity of the algorithm is quadratic, which is difficult to apply to large datasets.

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling

no code implementations20 Nov 2019 Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens

In this paper, we propose a fast surrogate leverage weighted sampling strategy to generate refined random Fourier features for kernel approximation.

Cluster-wise Unsupervised Hashing for Cross-Modal Similarity Search

no code implementations11 Nov 2019 Lu Wang, Jie Yang

Large-scale cross-modal hashing similarity retrieval has attracted more and more attention in modern search applications such as search engines and autopilot, showing great superiority in computation and storage.

Research Commentary on Recommendations with Side Information: A Survey and Research Directions

no code implementations19 Sep 2019 Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke

This Research Commentary aims to provide a comprehensive and systematic survey of the recent research on recommender systems with side information.

Knowledge Graphs Recommendation Systems +1

SDM-NET: Deep Generative Network for Structured Deformable Mesh

no code implementations13 Aug 2019 Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang

At the structural level, we train a Structured Parts VAE (SP-VAE), which jointly learns the part structure of a shape collection and the part geometries, ensuring a coherence between global shape structure and surface details.

Mesh Variational Autoencoders with Edge Contraction Pooling

1 code implementation7 Aug 2019 Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Hongbo Fu, Lin Gao

3D shape analysis is an important research topic in computer vision and graphics.

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

1 code implementation23 Jul 2019 Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian Reid

In this paper, a non-convex non-smooth optimization framework is proposed to achieve diverse smoothing natures where even contradictive smoothing behaviors can be achieved.

image smoothing

Estimating brain age based on a healthy population with deep learning and structural MRI

no code implementations1 Jul 2019 Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano

Numerous studies have established that estimated brain age, as derived from statistical models trained on healthy populations, constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases.

Age Estimation

A Review of Semi Supervised Learning Theories and Recent Advances

no code implementations28 May 2019 Enmei Tu, Jie Yang

Semi-supervised learning, which has emerged from the beginning of this century, is a new type of learning method between traditional supervised learning and unsupervised learning.

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining

no code implementations14 May 2019 Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton Van Den Hengel, Dehua Xie, Bing Zeng

Removing rain effects from an image is of importance for various applications such as autonomous driving, drone piloting, and photo editing.

Autonomous Driving Single Image Deraining

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

no code implementations15 Apr 2019 Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, DaCheng Tao

In this paper, we propose a novel matching based tracker by investigating the relationship between template matching and the recent popular correlation filter based trackers (CFTs).

Template Matching Visual Tracking

A Regularization Approach for Instance-Based Superset Label Learning

no code implementations5 Apr 2019 Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, DaCheng Tao

As a result, the intrinsic constraints among different candidate labels are deployed, and the disambiguated labels generated by RegISL are more discriminative and accurate than those output by existing instance-based algorithms.

Multi-scale convolutional neural network for multi-focus image fusion

no code implementations5 Mar 2019 Hafiz Tayyab Mustafa, Jie Yang, Masoumeh Zareapoor

To address the above issues, we proposed a new MFIF method, which aims to learn feature extraction, fusion and reconstruction components together to produce a complete unsupervised end-to-end trainable deep CNN.


Online PCB Defect Detector On A New PCB Defect Dataset

1 code implementation17 Feb 2019 Sanli Tang, Fan He, Xiaolin Huang, Jie Yang

To train the deep model, a dataset is established, namely DeepPCB, which contains 1, 500 image pairs with annotations including positions of 6 common types of PCB defects.

Defect Detection

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image

1 code implementation13 Feb 2019 Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu

In this paper, we propose a novel method for highly efficient follicular segmentation of thyroid cytopathological WSIs.

General Classification

Dynamic Curriculum Learning for Imbalanced Data Classification

no code implementations ICCV 2019 Yiru Wang, Weihao Gan, Jie Yang, Wei Wu, Junjie Yan

Human attribute analysis is a challenging task in the field of computer vision, since the data is largely imbalance-distributed.

Classification Curriculum Learning +2

Class-Aware Adversarial Lung Nodule Synthesis in CT Images

no code implementations28 Dec 2018 Jie Yang, Si-Qi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu

Synthesizing the objects of interests, such as lung nodules, in medical images based on the distribution of annotated datasets can be helpful for improving the supervised learning tasks, especially when the datasets are limited by size and class balance.

General Classification

Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis

no code implementations19 Dec 2018 Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

In neuroimaging studies, the human cortex is commonly modeled as a sphere to preserve the topological structure of the cortical surface.

General Classification

Subword Encoding in Lattice LSTM for Chinese Word Segmentation

1 code implementation NAACL 2019 Jie Yang, Yue Zhang, Shuailong Liang

Previous lattice LSTM model takes word embeddings as the lexicon input, we prove that subword encoding can give the comparable performance and has the benefit of not relying on any external segmentor.

Chinese Word Segmentation Word Embeddings

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks

no code implementations13 Oct 2018 Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang

To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networks.

Classification General Classification +1

Generalization Properties of hyper-RKHS and its Applications

no code implementations26 Sep 2018 Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens

This paper generalizes regularized regression problems in a hyper-reproducing kernel Hilbert space (hyper-RKHS), illustrates its utility for kernel learning and out-of-sample extensions, and proves asymptotic convergence results for the introduced regression models in an approximation theory view.

Learning Theory

Adversarial Attack Type I: Cheat Classifiers by Significant Changes

no code implementations3 Sep 2018 Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang

Despite the great success of deep neural networks, the adversarial attack can cheat some well-trained classifiers by small permutations.

Adversarial Attack

Learning Data-adaptive Nonparametric Kernels

no code implementations31 Aug 2018 Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

Learning this data-adaptive matrix in a formulation-free strategy enlarges the margin between classes and thus improves the model flexibility.

A New Nonparametric Estimate of the Risk-Neutral Density with Applications to Variance Swaps

no code implementations15 Aug 2018 Liyuan Jiang, Shuang Zhou, Keren Li, Fangfang Wang, Jie Yang

We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem.

Design Challenges and Misconceptions in Neural Sequence Labeling

2 code implementations COLING 2018 Jie Yang, Shuailong Liang, Yue Zhang

We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include most of the state-of-the-art structures, and conduct a systematic model comparison on three benchmarks (i. e. NER, Chunking, and POS tagging).

Chunking NER +1

Chinese NER Using Lattice LSTM

3 code implementations ACL 2018 Yue Zhang, Jie Yang

We investigate a lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon.

Chinese Named Entity Recognition NER

Bayesian active learning for choice models with deep Gaussian processes

no code implementations4 May 2018 Jie Yang, Diego Klabjan

In this paper, we propose an active learning algorithm and models which can gradually learn individual's preference through pairwise comparisons.

Active Learning Gaussian Processes

Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa

no code implementations12 Mar 2018 Jie Yang, Thomas Drake, Andreas Damianou, Yoelle Maarek

Experiments show that our framework can accurately learn annotator expertise, infer true labels, and effectively reduce the amount of annotations in model training as compared to state-of-the-art approaches.

Active Learning Intent Classification

Robustness of classification ability of spiking neural networks

no code implementations30 Jan 2018 Jie Yang, Pingping Zhang, Yan Liu

The numerical results show that there is not significant reduction in the classification ability of the network if the input signals are subject to sinusoidal and Gaussian perturbations.

Classification General Classification

YEDDA: A Lightweight Collaborative Text Span Annotation Tool

1 code implementation ACL 2018 Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li

And the annotation time can be further compressed by 16. 47\% through intelligent recommendation.

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

no code implementations8 Nov 2017 Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang

In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.

Mesh-based Autoencoders for Localized Deformation Component Analysis

no code implementations13 Sep 2017 Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia

Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing.


Interacting Attention-gated Recurrent Networks for Recommendation

no code implementations5 Sep 2017 Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax

In particular, we propose a novel attention scheme to learn the attention scores of user and item history in an interacting way, thus to account for the dependencies between user and item dynamics in shaping user-item interactions.

Sparse Data Driven Mesh Deformation

no code implementations5 Sep 2017 Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Leif Kobbelt, Shihong Xia

This along with a suitably chosen deformation basis including spatially localized deformation modes leads to significant advantages, including more meaningful, reliable, and efficient deformations because fewer and localized deformation modes are applied.


Combining Discrete and Neural Features for Sequence Labeling

1 code implementation24 Aug 2017 Jie Yang, Zhiyang Teng, Meishan Zhang, Yue Zhang

Our results on standard benchmarks show that state-of-the-art neural models can give accuracies comparable to the best discrete models in the literature for most tasks and combing discrete and neural features unanimously yield better results.

Named Entity Recognition POS

Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure

no code implementations6 Jul 2017 Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens

Since the concave-convex procedure has to solve a sub-problem in each iteration, we propose a concave-inexact-convex procedure (CCICP) algorithm with an inexact solving scheme to accelerate the solving process.

Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules

no code implementations4 Jul 2017 Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini

Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis.

Computed Tomography (CT) General Classification +3

Universal Dependencies Parsing for Colloquial Singaporean English

1 code implementation ACL 2017 Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong Chieu

Singlish can be interesting to the ACL community both linguistically as a major creole based on English, and computationally for information extraction and sentiment analysis of regional social media.

Dependency Parsing Sentiment Analysis

Neural Word Segmentation with Rich Pretraining

1 code implementation ACL 2017 Jie Yang, Yue Zhang, Fei Dong

Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings.

POS Word Embeddings

Robust Guided Image Filtering

no code implementations28 Mar 2017 Wei Liu, Xiaogang Chen, Chunhua Shen, Jingyi Yu, Qiang Wu, Jie Yang

In this paper, we propose a general framework for Robust Guided Image Filtering (RGIF), which contains a data term and a smoothness term, to solve the two issues mentioned above.

Semi-supervised Learning for Discrete Choice Models

no code implementations16 Feb 2017 Jie Yang, Sergey Shebalov, Diego Klabjan

Two classic semi-supervised learning algorithms, the expectation maximization algorithm and the cluster-and-label algorithm, have been adapted to our choice modeling problem setting.

Scalable Nearest Neighbor Search based on kNN Graph

no code implementations30 Jan 2017 Wan-Lei Zhao, Jie Yang, Cheng-Hao Deng

In this paper, a scalable solution based on hill-climbing strategy with the support of k-nearest neighbor graph (kNN) is presented.

graph construction Quantization

From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

no code implementations CVPR 2017 Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton Van Den Hengel, Qinfeng Shi

The critical observation underpinning our approach is thus that learning the motion flow instead allows the model to focus on the cause of the blur, irrespective of the image content.

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study

no code implementations5 Dec 2016 Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine

Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of chronic obstructive pulmonary disease (COPD).

Computed Tomography (CT)

4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation

no code implementations20 Jul 2016 Yun Gu, Guang-Zhong Yang, Jie Yang, Kun Sun

The proposed method is comprised of three stages, the frame smoothing, spatial-temporal embedding and final classification.

General Classification

A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification

no code implementations3 Jun 2016 Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola Kasabov

In this paper, we propose a new graph-based $k$NN algorithm which can effectively handle both Gaussian distributed data and nonlinear manifold distributed data.

General Classification

Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data

no code implementations17 Mar 2016 Enmei Tu, Nikola Kasabov, Jie Yang

This paper proposes a new method for an optimized mapping of temporal variables, describing a temporal stream data, into the recently proposed NeuCube spiking neural network architecture.

Data Driven Robust Image Guided Depth Map Restoration

no code implementations26 Dec 2015 Wei Liu, Yun Gu, Chunhua Shen, Xiaogang Chen, Qiang Wu, Jie Yang

Depth maps captured by modern depth cameras such as Kinect and Time-of-Flight (ToF) are usually contaminated by missing data, noises and suffer from being of low resolution.

Visual Tracking via Nonnegative Regularization Multiple Locality Coding

no code implementations5 Oct 2015 Fanghui Liu, Tao Zhou, Irene Y. H. Gu, Jie Yang

Weights of these various dictionaries are also learned from approximated LLC in the similar framework.

Object Tracking Visual Tracking

Robust Visual Tracking via Inverse Nonnegative Matrix Factorization

no code implementations20 Sep 2015 Fanghui Liu, Tao Zhou, Keren Fu, Irene Y. H. Gu, Jie Yang

It utilizes both the foreground and background information, and imposes a local coordinate constraint, where the basis matrix is sparse matrix from the linear combination of candidates with corresponding nonnegative coefficient vectors.

Visual Tracking

Notes on Low-rank Matrix Factorization

no code implementations30 Jun 2015 Yuan Lu, Jie Yang

The key idea of MF is that there exists latent structures in the data, by uncovering which we could obtain a compressed representation of the data.

Dimensionality Reduction Matrix Completion

Robust High Quality Image Guided Depth Upsampling

no code implementations17 Jun 2015 Wei Liu, Yijun Li, Xiaogang Chen, Jie Yang, Qiang Wu, Jingyi Yu

A popular solution is upsampling the obtained noisy low resolution depth map with the guidance of the companion high resolution color image.

Saliency Propagation From Simple to Difficult

no code implementations CVPR 2015 Chen Gong, DaCheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang

In the teaching-to-learn step, a teacher is designed to arrange the regions from simple to difficult and then assign the simplest regions to the learner.

Saliency Detection

Cross-Modality Hashing with Partial Correspondence

no code implementations18 Feb 2015 Yun Gu, Haoyang Xue, Jie Yang

Learning a hashing function for cross-media search is very desirable due to its low storage cost and fast query speed.

Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking

no code implementations CVPR 2014 Xiongbiao Luo, Ying Wan, Xiangjian He, Jie Yang, Kensaku MORI

The paper proposes a diversity-enhanced condensation algorithm to address the particle impoverishment problem which stochastic filtering usually suffers from.

Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths

no code implementations CVPR 2013 Xiaogang Chen, Sing Bing Kang, Jie Yang, Jingyi Yu

PatchGPs treat image patches as nodes and patch differences as edge weights for computing the shortest (geodesic) paths.

Image Denoising

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