Search Results for author: Jie Yang

Found 200 papers, 63 papers with code

SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger

no code implementations30 Mar 2023 Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Wei Liu, Jie Yang, Ke Li, Xing Sun

During the preceding biennium, vision-language pre-training has achieved noteworthy success on several downstream tasks.

Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation

2 code implementations24 Mar 2023 Ye Zhu, Jie Yang, Si-Qi Liu, Ruimao Zhang

Semi-supervised medical image segmentation has attracted much attention in recent years because of the high cost of medical image annotations.

Image Segmentation Semantic Segmentation +1

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

1 code implementation9 Mar 2023 Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang

To effectively fuse language and vision modalities, we conceptually divide a closed-set detector into three phases and propose a tight fusion solution, which includes a feature enhancer, a language-guided query selection, and a cross-modality decoder for cross-modality fusion.

object-detection Referring Expression +2

Exploring Social Media for Early Detection of Depression in COVID-19 Patients

1 code implementation23 Feb 2023 Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang

Secondly, We conducted an extensive analysis of this dataset to investigate the characteristic of COVID-19 patients with a higher risk of depression.

Knowledge Distillation

SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry

no code implementations16 Feb 2023 Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang

We propose SCENEHGN, a hierarchical graph network for 3D indoor scenes that takes into account the full hierarchy from the room level to the object level, then finally to the object part level.

Scene Generation

Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection

1 code implementation14 Feb 2023 Shuhao Shi, Kai Qiao, Jie Yang, Baojie Song, Jian Chen, Bin Yan

Specifically, node features are first mapped to a feature space through neighborhood aggregation and then generated samples for the minority class in the feature space.

Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion

no code implementations5 Feb 2023 Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang

The proposed model incorporates a Bias Elimination Cycle that consists of both a forward path and an inverted path, each featuring a Structural Consistency Cycle to ensure the preservation of image content during the editing process.

Text-to-Image Generation

Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation

1 code implementation3 Feb 2023 Jie Yang, Ailing Zeng, Shilong Liu, Feng Li, Ruimao Zhang, Lei Zhang

This paper presents a novel end-to-end framework with Explicit box Detection for multi-person Pose estimation, called ED-Pose, where it unifies the contextual learning between human-level (global) and keypoint-level (local) information.

Ranked #2 on Multi-Person Pose Estimation on CrowdPose (using extra training data)

Human Detection Keypoint Detection +2

Deep Learning for Short-Latency Epileptic Seizure Detection with Probabilistic Classification

no code implementations4 Jan 2023 Yankun Xu, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan

In this manuscript, we propose a novel deep learning (DL)-based framework intended for obtaining short latency in real-time electroencephalogram-based epileptic seizure detection using multiscale 3D convolutional neural networks.

Decision Making Electroencephalogram (EEG) +1

MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark

1 code implementation3 Jan 2023 Shuhao Shi, Kai Qiao, Jian Chen, Shuai Yang, Jie Yang, Baojie Song, Linyuan Wang, Bin Yan

However, in addition to low annotation quality, existing benchmarks generally have incomplete user relationships, suppressing graph-based account detection research.

Node Classification Stance Detection +1

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning

1 code implementation1 Dec 2022 Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen

Most existing methods focus on learning noise-robust models from web images while neglecting the performance drop caused by the differences between web domain and real-world domain.

Contrastive Learning Representation Learning

A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction

no code implementations28 Nov 2022 Jinbo Chen, Hui Wu, Jie Yang, Mohamad Sawan

A bio-inspired Neuron-ADC with reconfigurable sampling and static power reduction for biomedical applications is proposed in this work.

Sub-1ms Instinctual Interference Adaptive GaN LNA Front-End with Power and Linearity Tuning

no code implementations27 Nov 2022 Jie Yang, Baibhab Chatterjee, Mohammad Abu Khater, Mattias Thorsell, Sten E. Gunnarsson, Tero Kiuru, Shreyas Sen

The system permits an LNA power consumption to tune from 500 mW to 2 W (4X increase) in order to adjust the linearity from P\textsubscript{1dB, IN}=-10. 5 dBm to 0. 5 dBm (>10X increase).

On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness

1 code implementation20 Nov 2022 Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang

Randomized Smoothing (RS) is a promising technique for certified robustness, and recently in RS the ensemble of multiple deep neural networks (DNNs) has shown state-of-the-art performances.

GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost

no code implementations13 Nov 2022 Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang

While large pre-trained models have transformed the field of natural language processing (NLP), the high training cost and low cross-lingual availability of such models prevent the new advances from being equally shared by users across all languages, especially the less spoken ones.

MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation

1 code implementation11 Nov 2022 Lingtong Kong, Jie Yang

To break the dilemma, we propose a novel mutual distillation framework to transfer reliable knowledge back and forth between the teacher and student networks for alternate improvement.

Data Augmentation Knowledge Distillation +1

Progressive Motion Context Refine Network for Efficient Video Frame Interpolation

no code implementations11 Nov 2022 Lingtong Kong, Jinfeng Liu, Jie Yang

Recently, flow-based frame interpolation methods have achieved great success by first modeling optical flow between target and input frames, and then building synthesis network for target frame generation.

Optical Flow Estimation Video Frame Interpolation

AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam

no code implementations2 Nov 2022 Da Chen, Nima Emami, Shahed Rezaei, Philipp L. Rosendahl, Bai-Xiang Xu, Jens Schneider, Kang Gao, Jie Yang

The error range of CNN models leads to an uncertain mechanical performance, which is further evaluated in a structural uncertainty analysis on the FG porous three-layer beam consisting of two thin high-density layers and a thick low-density one, where the imprecise CNN predicted moduli are represented as triangular fuzzy numbers in double parametric form.

3D Human Mesh Construction Leveraging Wi-Fi

no code implementations20 Oct 2022 Yichao Wang, Jie Yang

In this paper, we present, Wi-Mesh, a WiFi vision-based 3D human mesh construction system.

Online LiDAR-Camera Extrinsic Parameters Self-checking

1 code implementation19 Oct 2022 Pengjin Wei, Guohang Yan, Yikang Li, Kun Fang, Jie Yang, Wei Liu

This calibration task is multi-modal, where the rich color and texture information captured by the camera and the accurate three-dimensional spatial information from the LiDAR is incredibly significant for downstream tasks.

Autonomous Driving

A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities

1 code implementation17 Oct 2022 Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang

Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness remains elusive and constitutes a key issue that impedes large-scale adoption.

Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment

no code implementations16 Oct 2022 Yuanyuan Qiao, Jiaxin Yin, Wei Wang, Fábio Duarte, Jie Yang, Carlo Ratti

Within the next several years, there will be a high level of autonomous technology that will be available for widespread use, which will reduce labor costs, increase safety, save energy, enable difficult unmanned tasks in harsh environments, and eliminate human error.

Autonomous Vehicles Self-Learning

Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond

no code implementations3 Oct 2022 Di wu, Jie Yang, Mohamad Sawan

In this survey, we assess the eligibility of more than fifty published peer-reviewed representative transfer learning approaches for EMG applications.

Electromyography (EMG) Transfer Learning

Robust Person Identification: A WiFi Vision-based Approach

no code implementations30 Sep 2022 Yili Ren, Jie Yang

In particular, we leverage multiple antennas on next-generation WiFi devices and 2D AoA estimation of the signal reflections to enable WiFi to visualize a person in the physical environment.

Person Identification Person Re-Identification

Rethinking and Recomputing the Value of ML Models

no code implementations30 Sep 2022 Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen

In this paper, we argue that the way we have been training and evaluating ML models has largely forgotten the fact that they are applied in an organization or societal context as they provide value to people.

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets

1 code implementation28 Sep 2022 Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

To further investigate tweet users' attitudes toward specific entities, 4 types of entities (Person, Organization, Drug, and Vaccine) are selected and annotated with user sentiments, resulting in a targeted sentiment dataset with 9, 101 entities (in 5, 278 tweets).

Epidemiology named-entity-recognition +3

YATO: Yet Another deep learning based Text analysis Open toolkit

1 code implementation28 Sep 2022 Zeqiang Wang, Yile Wang, Jiageng Wu, Zhiyang Teng, Jie Yang

Designed in a hierarchical structure, YATO supports free combinations of three types of features including 1) traditional neural networks (CNN, RNN, etc.

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor

no code implementations26 Sep 2022 Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan

In this design, a compact online learning neuromorphic hardware architecture with ultra-low power consumption designed explicitly for biosignal processing is proposed.

ECG Classification

SpikeSEE: An Energy-Efficient Dynamic Scenes Processing Framework for Retinal Prostheses

no code implementations16 Sep 2022 Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan

In this paper, we propose an energy-efficient dynamic scenes processing framework (SpikeSEE) that combines a spike representation encoding technique and a bio-inspired spiking recurrent neural network (SRNN) model to achieve intelligent processing and extreme low-power computation for retinal prostheses.

PTab: Using the Pre-trained Language Model for Modeling Tabular Data

no code implementations15 Sep 2022 Guang Liu, Jie Yang, Ledell Wu

The learning of an effective contextual representation requires meaningful features and a large amount of data.

Language Modelling Representation Learning +1

An Online Sparse Streaming Feature Selection Algorithm

no code implementations2 Aug 2022 Feilong Chen, Di wu, Jie Yang, Yi He

In many real applications such as intelligent healthcare platform, streaming feature always has some missing data, which raises a crucial challenge in conducting OSFS, i. e., how to establish the uncertain relationship between sparse streaming features and labels.

Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions

no code implementations23 Jul 2022 Jie Yang, Yilin Li, Deddy Jobson

To achieve a better lift return on investment (lift ROI) on the enduring effect of the promotion and improve customer retention and loyalty, we propose a framework of multiple treatment promotion decision making by modeling each customer's direct and enduring response.

Decision Making

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

1 code implementation29 Jun 2022 Yining Hua, Hang Jiang, Shixu Lin, Jie Yang, Joseph M. Plasek, David W. Bates, Li Zhou

Time-trend analysis revealed that Hydroxychloroquine and Ivermectin received much more discussion than Molnupiravir and Remdesivir, particularly during COVID-19 surges.


Learning Deep Feature Correspondence for Unsupervised Anomaly Detection and Segmentation

1 code implementation Pattetn Recognition 2022 Jie Yang

We develop our DFC in an asymmetric dual network framework that consists of a generic feature extraction network and an elaborated feature estimation network, and detect the possible anomalies within images by modeling and evaluating the associated deep feature correspondence between the two dual network branches.

 Ranked #1 on Anomaly Detection on BottleCap (using extra training data)

Unsupervised Anomaly Detection

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

1 code implementation23 Jun 2022 Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang

By aligning the class tokens and spatial attention maps of paired NBI and WL images at different levels, the Transformer achieves the ability to keep both global and local representation consistency for the above two modalities.

Classification Image Classification

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

2 code implementations22 Jun 2022 Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

Recently, one critical issue looms large in the field of recommender systems -- there are no effective benchmarks for rigorous evaluation -- which consequently leads to unreproducible evaluation and unfair comparison.

Benchmarking Recommendation Systems

Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency

no code implementations21 Jun 2022 Jie Yang, Ye Zhu, Ruimao Zhang, Chaoqun Wang, Zhen Li, Xiang Wan

Different from previous methods which adopted both modality-specific and modality-shared modules to accommodate the appearance variance of different modalities while extracting the common semantic information, our method is based on a single Transformer with a carefully designed External Attention Module (EAM) to learn the structured semantic consistency (i. e. semantic class representations and their correlations) between modalities in the training phase.

Image Segmentation Medical Image Segmentation +2

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

1 code implementation16 Jun 2022 Yuanfeng Ji, Haotian Bai, Jie Yang, Chongjian Ge, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo

Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods.

Image Segmentation Medical Image Segmentation +2

Modeling Image Composition for Complex Scene Generation

1 code implementation CVPR 2022 Zuopeng Yang, Daqing Liu, Chaoyue Wang, Jie Yang, DaCheng Tao

Compared to existing CNN-based and Transformer-based generation models that entangled modeling on pixel-level&patch-level and object-level&patch-level respectively, the proposed focal attention predicts the current patch token by only focusing on its highly-related tokens that specified by the spatial layout, thereby achieving disambiguation during training.

Layout-to-Image Generation Scene Generation

IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation

2 code implementations CVPR 2022 Lingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu, Xiaoming Huang, Ying Tai, Chengjie Wang, Jie Yang

Prevailing video frame interpolation algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters or large delay, hindering them from diverse real-time applications.

Optical Flow Estimation Video Frame Interpolation

Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief

no code implementations27 May 2022 Jinbo Chen, Mahdi Tarkhan, Hui Wu, Fereidoon Hashemi Noshahr, Jie Yang, Mohamad Sawan

Recent years have seen fast advances in neural recording circuits and systems as they offer a promising way to investigate real-time brain monitoring and the closed-loop modulation of psychological disorders and neurodegenerative diseases.

An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection

no code implementations26 May 2022 Jinbo Chen, Fengshi Tian, Jie Yang, Mohamad Sawan

Wearable electrocardiograph (ECG) recording and processing systems have been developed to detect cardiac arrhythmia to help prevent heart attacks.

Arrhythmia Detection

Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images

no code implementations12 May 2022 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Jocelyn Chanussot, Jie Yang

In IPSSD, single-shot detector is adopted combined with an image pyramid network to extract semantically strong features for generating candidate regions.

object-detection Small Object Detection

Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures

no code implementations29 Apr 2022 Yankun Xu, Jie Yang, Mohamad Sawan

To identify the preictal region that precedes the onset of seizure, a large number of annotated EEG signals are required to train DL algorithms.

Electroencephalogram (EEG)

neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning

1 code implementation20 Apr 2022 Di wu, Siyuan Li, Jie Yang, Mohamad Sawan

Extensive data labeling on neurophysiological signals is often prohibitively expensive or impractical, as it may require particular infrastructure or domain expertise.

Electroencephalogram (EEG) Electromyography (EMG) +2

3D Human Pose Estimation for Free-from and Moving Activities Using WiFi

no code implementations16 Apr 2022 Yili Ren, Jie Yang

This paper presents GoPose, a 3D skeleton-based human pose estimation system that uses WiFi devices at home.

3D Human Pose Estimation 3D Pose Estimation +1

Towards Fine-grained Causal Reasoning and QA

1 code implementation15 Apr 2022 Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang

Understanding causality is key to the success of NLP applications, especially in high-stakes domains.

Question Answering

Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation

no code implementations25 Feb 2022 Di wu, Jie Yang, Mohamad Sawan

The proposed training scheme significantly improves the performance of patient-specific seizure predictors and bridges the gap between patient-specific and patient-independent predictors.

Knowledge Distillation Seizure prediction

Online Learning of Trellis Diagram Using Neural Network for Robust Detection and Decoding

no code implementations22 Feb 2022 Jie Yang, Qinghe Du, Yi Jiang

As an interesting by-product, we propose an enhancement to the BLE standard by introducing a bit interleaver to its physical layer; the resultant improvement of the receiver sensitivity can make it a better fit for some Internet of Things (IoT) communications.

Anchor Graph Structure Fusion Hashing for Cross-Modal Similarity Search

no code implementations9 Feb 2022 Lu Wang, Jie Yang, Masoumeh Zareapoor, ZhongLong Zheng

Cross-modal hashing still has some challenges needed to address: (1) most existing CMH methods take graphs as input to model data distribution.


BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding

no code implementations29 Jan 2022 Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang

Since the volume of the peripheral bronchi may be much smaller than the large branches in an input patch, the common segmentation loss is not sensitive to the breakages among the distal branches.

On the Value of ML Models

no code implementations13 Dec 2021 Fabio Casati, Pierre-André Noël, Jie Yang

We argue that, when establishing and benchmarking Machine Learning (ML) models, the research community should favour evaluation metrics that better capture the value delivered by their model in practical applications.


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 +1

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

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.

Benchmarking Multiple-choice +1

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

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection

2 code implementations13 Sep 2021 Kai Li, Jie Yang, Siwei Ma, Bo wang, Shanshe Wang, Yingjie Tian, Zhiquan Qi

For the second issue, we reconsider how to improve detection efficiency with excellent performance, and then propose our lightweight encoder-decoder architecture termed CarNet.

N24News: A New Dataset for Multimodal News Classification

1 code implementation LREC 2022 Zhen Wang, Xu Shan, Xiangxie Zhang, 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

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.

Electroencephalogram (EEG) regression +1

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

Embedded systems have a huge market, and utilizing DCNNs' powerful functionality into them will further reduce human intervention.

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, Zhexin 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 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.

Electroencephalogram (EEG) Seizure prediction +1

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.

Electroencephalogram (EEG) Seizure prediction +1

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

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

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

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.

BIG-bench Machine Learning Feature Engineering +2

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 +4

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.

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.

Anatomy 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

2 code implementations23 Oct 2020 Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang

Despite of the efficiency in defending specific attacks, adversarial training is benefited from the data augmentation, which does not contribute to the robustness of DNN itself and usually suffers from accuracy drop on clean data as well as inefficiency in 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 +1

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.

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.

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.

General Classification graph construction +2

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

1 code implementation10 Sep 2020 Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang

In the second-stage process, a linear learner is conducted with respect to the mapped random features.

Adversarial Robustness

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)

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.

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 regression

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 +2

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 +1

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 +3

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 Informativeness

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 Association

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 General Classification +1

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

1 code implementation13 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 +2

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 regression

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 Misconceptions +2

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 +1

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.

text annotation

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.


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.


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.