Search Results for author: Fei Wang

Found 139 papers, 53 papers with code

Local Correlation Consistency for Knowledge Distillation

no code implementations ECCV 2020 Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian

Sufficient knowledge extraction from the teacher network plays a critical role in the knowledge distillation task to improve the performance of the student network.

Knowledge Distillation

Expressivity and Trainability of Quadratic Networks

1 code implementation12 Oct 2021 Feng-Lei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang

Despite promising results so far achieved by networks of quadratic neurons, there are important issues not well addressed.

SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

1 code implementation11 Oct 2021 Chengxi Zang, Fei Wang

We propose a general supervised contrastive loss $\mathcal{L}_{\text{Contrastive Cross Entropy} } + \lambda \mathcal{L}_{\text{Supervised Contrastive Regularizer}}$ for learning both binary classification (e. g. in-hospital mortality prediction) and multi-label classification (e. g. phenotyping) in a unified framework.

Contrastive Learning Mortality Prediction +1

Using Subobservers to Synthesize Opacity-Enforcing Supervisors

no code implementations8 Oct 2021 Richard Hugh Moulton, Behnam Behinaein Hamgini, Zahra Abedi Khouzani, Rômulo Meira-Gòes, Fei Wang, Karen Rudie

In discrete-event system control, the worst-case time complexity for computing a system's observer is exponential in the number of that system's states.

Correcting the User Feedback-Loop Bias for Recommendation Systems

no code implementations13 Sep 2021 Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, ChangShui Zhang, Fei Wang

We empirically validated the existence of such user feedback-loop bias in real world recommendation systems and compared the performance of our method with the baseline models that are either without de-biasing or with propensity scores estimated by other methods.

Recommendation Systems Selection bias

Table-based Fact Verification with Salience-aware Learning

1 code implementation9 Sep 2021 Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen

From one perspective, our system conducts masked salient token prediction to enhance the model for alignment and reasoning between the table and the statement.

Data Augmentation Fact Verification +1

Heterogeneous Graph Neural Network with Multi-view Representation Learning

no code implementations31 Aug 2021 Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu

Graph neural networks for heterogeneous graph embedding is to project nodes into a low-dimensional space by exploring the heterogeneity and semantics of the heterogeneous graph.

Graph Embedding Link Prediction +2

Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning

1 code implementation19 Aug 2021 Sen Cui, Weishen Pan, Jian Liang, ChangShui Zhang, Fei Wang

In this paper, we propose an FL framework to jointly consider performance consistency and algorithmic fairness across different local clients (data sources).

Fairness Federated Learning

Learning to Collaborate

no code implementations18 Aug 2021 Sen Cui, Jian Liang, Weishen Pan, Kun Chen, ChangShui Zhang, Fei Wang

We propose a learning to collaborate framework, where each client can choose to collaborate with certain members in the network to achieve a "collaboration equilibrium", where smaller collaboration coalitions are formed within the network so that each client can obtain the model with the best utility.

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection

no code implementations15 Aug 2021 Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang

Modeling inter-dependencies between time-series is the key to achieve high performance in anomaly detection for multivariate time-series data.

Anomaly Detection Time Series

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition

no code implementations11 Aug 2021 Weishen Pan, Sen Cui, Jiang Bian, ChangShui Zhang, Fei Wang

Algorithmic fairness has aroused considerable interests in data mining and machine learning communities recently.

Fairness Feature Importance

ReSSL: Relational Self-Supervised Learning with Weak Augmentation

2 code implementations20 Jul 2021 Mingkai Zheng, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu

Self-supervised Learning (SSL) including the mainstream contrastive learning has achieved great success in learning visual representations without data annotations.

Contrastive Learning Self-Supervised Image Classification +1

Vision Transformer Architecture Search

1 code implementation25 Jun 2021 Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu

In this paper, we make a further step by examining the intrinsic structure of transformers for vision tasks and propose an architecture search method, dubbed ViTAS, to search for the optimal architecture with similar hardware budgets.

Learning To Restore Hazy Video: A New Real-World Dataset and a New Method

no code implementations CVPR 2021 Xinyi Zhang, Hang Dong, Jinshan Pan, Chao Zhu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Fei Wang

On the other hand, the video dehazing algorithms, which can acquire more satisfying dehazing results by exploiting the temporal redundancy from neighborhood hazy frames, receive less attention due to the absence of the video dehazing datasets.

Image Dehazing

S-LIME: Stabilized-LIME for Model Explanation

1 code implementation15 Jun 2021 Zhengze Zhou, Giles Hooker, Fei Wang

An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare.

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets

no code implementations11 Jun 2021 Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

The operation weight for each path is represented as a convex combination of items in a dictionary with a simplex code.

BCNet: Searching for Network Width with Bilaterally Coupled Network

no code implementations CVPR 2021 Xiu Su, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

In BCNet, each channel is fairly trained and responsible for the same amount of network widths, thus each network width can be evaluated more accurately.

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation

no code implementations CVPR 2021 Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang

Though 3D convolutions are amenable to recognizing which actor is performing the queried actions, it also inevitably introduces misaligned spatial information from adjacent frames, which confuses features of the target frame and yields inaccurate segmentation.

Feature Selection Referring Expression Segmentation

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

1 code implementation4 May 2021 Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely

The task of natural language table retrieval (NLTR) seeks to retrieve semantically relevant tables based on natural language queries.

Graph Representation Learning Table Search

Research on Optimization Method of Multi-scale Fish Target Fast Detection Network

no code implementations11 Apr 2021 Yang Liu, Shengmao Zhang, Fei Wang, Wei Fan, Guohua Zou, Jing Bo

The fish target detection algorithm lacks a good quality data set, and the algorithm achieves real-time detection with lower power consumption on embedded devices, and it is difficult to balance the calculation speed and identification ability.

Prioritized Architecture Sampling with Monto-Carlo Tree Search

1 code implementation CVPR 2021 Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

One-shot neural architecture search (NAS) methods significantly reduce the search cost by considering the whole search space as one network, which only needs to be trained once.

Neural Architecture Search

MogFace: Rethinking Scale Augmentation on the Face Detector

no code implementations20 Mar 2021 Yang Liu, Fei Wang, Baigui Sun, Hao Li

In order to help the detector utilize the scale information efficiently, we analyze the relationship between the detector performance and the scale distribution of the training data.

Face Detection

Mapping the phase diagram of the quantum anomalous Hall and topological Hall effects in a dual-gated magnetic topological insulator heterostructure

no code implementations10 Mar 2021 Run Xiao, Di Xiao, Jue Jiang, Jae-Ho Shin, Fei Wang, Yi-Fan Zhao, Ruo-Xi Zhang, Anthony Richardella, Ke Wang, Morteza Kayyalha, Moses H. W. Chan, Chao-Xing Liu, Cui-Zu Chang, Nitin Samarth

We use magnetotransport in dual-gated magnetic topological insulator heterostructures to map out a phase diagram of the topological Hall and quantum anomalous Hall effects as a function of the chemical potential (primarily determined by the back gate voltage) and the asymmetric potential (primarily determined by the top gate voltage).

Mesoscale and Nanoscale Physics

Reformulating HOI Detection as Adaptive Set Prediction

1 code implementation CVPR 2021 Mingfei Chen, Yue Liao, Si Liu, ZhiYuan Chen, Fei Wang, Chen Qian

To attain this, we map a trainable interaction query set to an interaction prediction set with a transformer.

Ranked #5 on Human-Object Interaction Detection on HICO-DET (using extra training data)

Human-Object Interaction Detection

Locally Free Weight Sharing for Network Width Search

no code implementations ICLR 2021 Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

In this paper, to better evaluate each width, we propose a locally free weight sharing strategy (CafeNet) accordingly.

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

no code implementations CVPR 2021 Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

Our method enables differentiable sparsification, and keeps the derived architecture equivalent to that of Engine-cell, which further improves the consistency between search and evaluation.

Neural Architecture Search

Temporal boundary solitons and extreme super-thermal light statistics

no code implementations22 Jan 2021 Chunhao Liang, Sergey A. Ponomarenko, Fei Wang, Yangjian Cai

We discover the formation of a temporal boundary soliton (TBS) in the close proximity of a temporal boundary, moving in a nonlinear optical medium, upon high-intensity pulse collision with the boundary.

Optics Pattern Formation and Solitons

Adversarial Example Detection Using Latent Neighborhood Graph

no code implementations ICCV 2021 Ahmed Abusnaina, Yuhang Wu, Sunpreet Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen

We present the first graph-based adversarial detection method that constructs a Latent Neighborhood Graph (LNG) around an input example to determine if the input example is adversarial.

Adversarial Attack Graph Attention

Learning With Privileged Tasks

no code implementations ICCV 2021 Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang

Concretely, we introduce a privileged parameter so that the optimization direction does not necessarily follow the gradient from the privileged tasks, but concentrates more on the target tasks.

Multi-Task Learning

Explicit Learning Topology for Differentiable Neural Architecture Search

no code implementations1 Jan 2021 Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, ChangShui Zhang

Differentiable neural architecture search (NAS) has gained much success in discovering more flexible and diverse cell types.

Neural Architecture Search

EnTranNAS: Towards Closing the Gap between the Architectures in Search and Evaluation

no code implementations1 Jan 2021 Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

The Engine-cell is differentiable for architecture search, while the Transit-cell only transits the current sub-graph by architecture derivation.

Neural Architecture Search

SUSY Breaking Constraints on Modular flavor $S_3$ Invariant $SU(5)$ GUT Model

no code implementations2 Dec 2020 Xiaokang Du, Fei Wang

Modular flavor symmetry can be used to explain the quark and lepton flavor structures.

High Energy Physics - Phenomenology

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules

no code implementations2 Dec 2020 Sendong Zhao, Bing Qin, Ting Liu, Fei Wang

This paper proposes a method BioGRER to improve the BioKG's quality, which comprehensively combines the knowledge graph embedding and logic rules that support and negate triplets in the BioKG.

Knowledge Graph Embedding Knowledge Graphs

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space

1 code implementation NeurIPS 2020 Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, ChangShui Zhang

In this paper, we examine the diversity of teacher models in the gradient space and regard the ensemble knowledge distillation as a multi-objective optimization problem so that we can determine a better optimization direction for the training of student network.

Knowledge Distillation

3D Registration for Self-Occluded Objects in Context

no code implementations23 Nov 2020 Zheng Dang, Fei Wang, Mathieu Salzmann

While much progress has been made on the task of 3D point cloud registration, there still exists no learning-based method able to estimate the 6D pose of an object observed by a 2. 5D sensor in a scene.

Instance Segmentation Point Cloud Registration +2

Explicitly Learning Topology for Differentiable Neural Architecture Search

no code implementations18 Nov 2020 Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, ChangShui Zhang

Differentiable neural architecture search (DARTS) has gained much success in discovering more flexible and diverse cell types.

Neural Architecture Search

Data Agnostic Filter Gating for Efficient Deep Networks

no code implementations28 Oct 2020 Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

To deploy a well-trained CNN model on low-end computation edge devices, it is usually supposed to compress or prune the model under certain computation budget (e. g., FLOPs).

Robust Finite Mixture Regression for Heterogeneous Targets

no code implementations12 Oct 2020 Jian Liang, Kun Chen, Ming Lin, ChangShui Zhang, Fei Wang

FMR is an effective scheme for handling sample heterogeneity, where a single regression model is not enough for capturing the complexities of the conditional distribution of the observed samples given the features.

Feature Selection

Domain Agnostic Learning for Unbiased Authentication

no code implementations11 Oct 2020 Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai

We further extend our method to a meta-learning framework to pursue more thorough domain-difference elimination.

Face Recognition Meta-Learning +1

Suicide Risk Modeling with Uncertain Diagnostic Records

no code implementations5 Sep 2020 Wenjie Wang, Chongliang Luo, Robert H. Aseltine, Fei Wang, Jun Yan, Kun Chen

Motivated by the pressing need for suicide prevention through improving behavioral healthcare, we use medical claims data to study the risk of subsequent suicide attempts for patients who were hospitalized due to suicide attempts and later discharged.

Survival Analysis

A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations

no code implementations25 Aug 2020 Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang

Federated Learning(FL) is a newly developed privacy-preserving machine learning paradigm to bridge data repositories without compromising data security and privacy.

Collaborative Filtering Federated Learning

A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy

no code implementations21 Aug 2020 Jie Xu, Wei zhang, Fei Wang

A popular distributed learning strategy is federated learning, where there is a central server storing the global model and a set of local computing nodes updating the model parameters with their corresponding data.

Federated Learning

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

no code implementations24 Jul 2020 Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.

Knowledge Distillation Transfer Learning

Visualizing Deep Graph Generative Models for Drug Discovery

no code implementations20 Jul 2020 Karan Yang, Chengxi Zang, Fei Wang

Drug discovery aims at designing novel molecules with specific desired properties for clinical trials.

Drug Discovery

CorefQA: Coreference Resolution as Query-based Span Prediction

1 code implementation ACL 2020 Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task.

 Ranked #1 on Coreference Resolution on CoNLL 2012 (using extra training data)

Coreference Resolution Data Augmentation +1

MoFlow: An Invertible Flow Model for Generating Molecular Graphs

1 code implementation17 Jun 2020 Chengxi Zang, Fei Wang

Generating molecular graphs with desired chemical properties driven by deep graph generative models provides a very promising way to accelerate drug discovery process.

Drug Discovery Graph Generation +1

Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility

1 code implementation15 Jun 2020 Sen Cui, Weishen Pan, Chang-Shui Zhang, Fei Wang

Bipartite ranking, which aims to learn a scoring function that ranks positive individuals higher than negative ones from labeled data, is widely adopted in various applications where sample prioritization is needed.


Why Attentions May Not Be Interpretable?

no code implementations10 Jun 2020 Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang

In this paper, we demonstrate that one root cause of this phenomenon is the combinatorial shortcuts, which means that, in addition to the highlighted parts, the attention weights themselves may carry extra information that could be utilized by downstream models after attention layers.

Feature Importance Feature Selection

Adversarial Infidelity Learning for Model Interpretation

1 code implementation9 Jun 2020 Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang

A popular way of performing model interpretation is Instance-wise Feature Selection (IFS), which provides an importance score of each feature representing the data samples to explain how the model generates the specific output.

Feature Selection

Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration

no code implementations8 Jun 2020 Zheng Dang, Fei Wang, Mathieu Salzmann

While 3D-3D registration is traditionally tacked by optimization-based methods, recent work has shown that learning-based techniques could achieve faster and more robust results.

General-Purpose User Embeddings based on Mobile App Usage

1 code implementation27 May 2020 Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang

In this paper, we report our recent practice at Tencent for user modeling based on mobile app usage.

Feature Engineering

Multi-Scale Boosted Dehazing Network with Dense Feature Fusion

1 code implementation CVPR 2020 Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang

To address the issue of preserving spatial information in the U-Net architecture, we design a dense feature fusion module using the back-projection feedback scheme.

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

no code implementations15 Apr 2020 Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

In this paper, we introduce an eigendecomposition-free approach to training a deep network whose loss depends on the eigenvector corresponding to a zero eigenvalue of a matrix predicted by the network.

Denoising Pose Estimation

Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

no code implementations25 Mar 2020 Jun Yang, Fei Wang

The advantage of this method is to make the model converge to various local optima by scheduling the learning rate in once training.

Few-Shot Learning

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

2 code implementations CVPR 2020 Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian

CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned.

Instance Segmentation Object Detection +1

Impact of Temperature and Relative Humidity on the Transmission of COVID-19: A Modeling Study in China and the United States

no code implementations9 Mar 2020 Jingyuan Wang, Ke Tang, Kai Feng, Xin Li, Weifeng Lv, Kun Chen, Fei Wang

Primary outcome measures: Regression analysis of the impact of temperature and relative humidity on the effective reproductive number (R value).

Gated Fusion Network for Degraded Image Super Resolution

1 code implementation2 Mar 2020 Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang

To address this problem, we propose a dual-branch convolutional neural network to extract base features and recovered features separately.

Image Super-Resolution

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records

no code implementations15 Nov 2019 Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow

While networks with explicit memory have been proposed recently, the discontinuities imposed by the discrete operations make such networks harder to train and require more supervision.

Federated Learning for Healthcare Informatics

no code implementations13 Nov 2019 Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter Walker, Jiang Bian, Fei Wang

With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insurance companies and pharmaceutical industries, among others.

Federated Learning

Biomedical Evidence Generation Engine

no code implementations11 Nov 2019 Sendong Zhao, Fei Wang

With the rapid development of precision medicine, a large amount of health data (such as electronic health records, gene sequencing, medical images, etc.)

Information Retrieval Question Answering +2

Coreference Resolution as Query-based Span Prediction

1 code implementation5 Nov 2019 Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

In this paper, we present an accurate and extensible approach for the coreference resolution task.

Coreference Resolution Data Augmentation +1

GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment

no code implementations2 Nov 2019 Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang

GRAPHENE consists of three main different modules 1) graph-augmented document representation learning; 2) query expansion and representation learning and 3) learning to rank biomedical articles.

Learning-To-Rank Representation Learning

Learning Reinforced Attentional Representation for End-to-End Visual Tracking

no code implementations27 Aug 2019 Peng Gao, Qiquan Zhang, Fei Wang, Liyi Xiao, Hamido Fujita, Yan Zhang

Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge.

Visual Tracking

Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming

no code implementations27 Aug 2019 Zhencai Hu, Peng Gao, Fei Wang

To solve the problem of dimensional explosion in the air combat, the proposed method is implemented through feature selection, trajectory sampling, function approximation and Bellman backup operation in the air combat simulation environment.

Decision Making Feature Selection

Neural Cognitive Diagnosis for Intelligent Education Systems

1 code implementation23 Aug 2019 Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts.

Neural Dynamics on Complex Networks

1 code implementation18 Aug 2019 Chengxi Zang, Fei Wang

To address these challenges, we propose to combine Ordinary Differential Equation Systems (ODEs) and Graph Neural Networks (GNNs) to learn continuous-time dynamics on complex networks in a data-driven manner.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks

no code implementations15 Aug 2019 Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang

Parsing sketches via semantic segmentation is attractive but challenging, because (i) free-hand drawings are abstract with large variances in depicting objects due to different drawing styles and skills; (ii) distorting lines drawn on the touchpad make sketches more difficult to be recognized; (iii) the high-performance image segmentation via deep learning technologies needs enormous annotated sketch datasets during the training stage.

Semantic Segmentation

Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models

no code implementations4 Aug 2019 Fei Wang, Ling Zhou, Lu Tang, Peter X. -K. Song

To establish a simultaneous post-model selection inference, we propose a method of contraction and expansion (MOCE) along the line of debiasing estimation that enables us to balance the bias-and-variance trade-off so that the super-sparsity assumption may be relaxed.

Model Selection

Joint Activity Recognition and Indoor Localization With WiFi Fingerprints

1 code implementation arXiv:1904.04964 Search... Help | Advanced Search 2019 Fei Wang, Jianwei Feng, Yinliang Zhao, Xiaobin Zhang, Shiyuan Zhang, Jinsong Han

In this paper, we propose a novel deep learning framework for joint activity recognition and indoor localization task using WiFi Channel State Information~(CSI) fingerprints.

Activity Recognition Indoor Localization +1

Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning

no code implementations9 Jul 2019 Jiangteng Li, Fei Wang

In order to keep track of the operational state of power grid, the world's largest sensor systems, smart grid, was built by deploying hundreds of millions of smart meters.

Time Series

FPGA-based Binocular Image Feature Extraction and Matching System

no code implementations13 May 2019 Qi Ni, Fei Wang, Ziwei Zhao, Peng Gao

Image feature extraction and matching is a fundamental but computation intensive task in machine vision.

Image Compression Stereo Matching +1

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

1 code implementation8 May 2019 Xi Sheryl Zhang, Fengyi Tang, Hiroko Dodge, Jiayu Zhou, Fei Wang

In this paper, we propose MetaPred, a meta-learning for clinical risk prediction from longitudinal patient EHRs.


Learning Cascaded Siamese Networks for High Performance Visual Tracking

no code implementations8 May 2019 Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang

In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siamese network is proposed and developed based on two different deep learning networks: a matching subnetwork and a classification subnetwork.

Classification General Classification +1

Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers

no code implementations27 Apr 2019 Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf

In this paper, we investigate the feasibility of learning GNN (Graph Neural Network) based solvers and GNN-based heuristics for specified QBF (Quantified Boolean Formula) problems.

Siamese Attentional Keypoint Network for High Performance Visual Tracking

no code implementations23 Apr 2019 Peng Gao, Ruyue Yuan, Fei Wang, Liyi Xiao, Hamido Fujita, Yan Zhang

In this paper, we investigate the impacts of three main aspects of visual tracking, i. e., the backbone network, the attentional mechanism, and the detection component, and propose a Siamese Attentional Keypoint Network, dubbed SATIN, for efficient tracking and accurate localization.

Visual Tracking

Temporal Unet: Sample Level Human Action Recognition using WiFi

1 code implementation19 Apr 2019 Fei Wang, Yunpeng Song, Jimuyang Zhang, Jinsong Han, Dong Huang

In this task, every WiFi distortion sample in the whole series should be categorized into one action, which is a critical technique in precise action localization, continuous action segmentation, and real-time action recognition.

Action Recognition Action Segmentation +2

Joint Activity Recognition and Indoor Localization

2 code implementations10 Apr 2019 Fei Wang, Jianwei Feng, Yinliang Zhao, Xiaobin Zhang, Shiyuan Zhang, Jinsong Han

The key rationale behind this type of work is that people behaviors can influence the WiFi signal propagation and introduce specific patterns into WiFi signals, called WiFi fingerprints, which further can be explored to identify human activities and locations.

Human-Computer Interaction

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

no code implementations10 Apr 2019 Zhen-Xing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

Sub-phenotype III is with average age 65. 07$ \pm 11. 32 $ years, and was characterized moderate loss of kidney excretory function and thus more likely to develop stage II AKI (SCr $1. 69\pm 0. 32$ mg/dL, eGFR $93. 97\pm 56. 53$ mL/min/1. 73$m^2$).

Feature Learning Viewpoint of AdaBoost and a New Algorithm

no code implementations8 Apr 2019 Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie

We explain the rationality of this and illustrate the theorem that when the dimension of these features increases, the performance of SVM would not be worse, which can explain the resistant to overfitting of AdaBoost.

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

no code implementations2 Apr 2019 Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhen-Xing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion, Jyotishman Pathak

While the NLP system showed high precision and recall measurements for four target concepts (aortic valve regurgitation, left atrium size at end systole, mitral valve regurgitation, tricuspid valve regurgitation) across all sites, we found moderate or poor results for the remaining concepts and the NLP system performance varied between individual sites.

Can WiFi Estimate Person Pose?

1 code implementation30 Mar 2019 Fei Wang, Stanislav Panev, Ziyi Dai, Jinsong Han, Dong Huang

In this paper We try to answer this question by exploring the ability of WiFi on estimating single person pose.

3D Human Pose Estimation General Classification +2

Person-in-WiFi: Fine-grained Person Perception using WiFi

1 code implementation ICCV 2019 Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang

Fine-grained person perception such as body segmentation and pose estimation has been achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (e. g., RF-Pose) and LiDARs.

RF-based Pose Estimation

SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection

1 code implementation29 Mar 2019 Sanping Zhou, Jimuyang Zhang, Jinjun Wang, Fei Wang, Dong Huang

In this paper, we propose a simple yet effective Siamese Edge-Enhancement Network (SE2Net) to preserve the edge structure for salient object detection.

RGB Salient Object Detection Salient Object Detection

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

1 code implementation9 Feb 2019 Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang

One major carrier for conducting patient similarity research is Electronic Health Records(EHRs), which are usually heterogeneous, longitudinal, and sparse.

Glyce: Glyph-vectors for Chinese Character Representations

2 code implementations NeurIPS 2019 Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li

However, due to the lack of rich pictographic evidence in glyphs and the weak generalization ability of standard computer vision models on character data, an effective way to utilize the glyph information remains to be found.

Chinese Dependency Parsing Chinese Named Entity Recognition +19

A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care

no code implementations14 Jan 2019 Ziyuan Pan, Hao Du, Kee Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng

Compared with the existing models, our method has a number of distinct features: we utilized the accumulative data of patients in ICU; we developed a self-correcting mechanism that feeds errors from the previous predictions back into the network; we also proposed a regularization method that takes into account not only the model's prediction error on the label but also its estimation errors on the input data.

Multi-column Point-CNN for Sketch Segmentation

no code implementations28 Dec 2018 Fei Wang, Shujin Lin, Hanhui Li, Hefeng Wu, Junkun Jiang, Ruomei Wang, Xiaonan Luo

Traditional sketch segmentation methods mainly rely on handcrafted features and complicate models, and their performance is far from satisfactory due to the abstract representation of sketches.

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

1 code implementation14 Dec 2018 Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang

State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes.

Medical Named Entity Recognition Multi-Task Learning

Continuous User Authentication by Contactless Wireless Sensing

no code implementations4 Dec 2018 Fei Wang, Zhenjiang Li, Jinsong Han

This paper presents BodyPIN, which is a continuous user authentication system by contactless wireless sensing using commodity Wi-Fi.

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

1 code implementation19 Nov 2018 Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in sequential data modeling.

Action Recognition Tensor Decomposition

Boosted Sparse and Low-Rank Tensor Regression

2 code implementations NeurIPS 2018 Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang

We propose a sparse and low-rank tensor regression model to relate a univariate outcome to a feature tensor, in which each unit-rank tensor from the CP decomposition of the coefficient tensor is assumed to be sparse.

A Self-Organizing Tensor Architecture for Multi-View Clustering

no code implementations18 Oct 2018 Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang

In many real-world applications, data are often unlabeled and comprised of different representations/views which often provide information complementary to each other.

AutoGraph: Imperative-style Coding with Graph-based Performance

no code implementations16 Oct 2018 Dan Moldovan, James M Decker, Fei Wang, Andrew A Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko

In machine learning, imperative style libraries like Autograd and PyTorch are easy to write, but suffer from high interpretive overhead and are not easily deployable in production or mobile settings.

Efficient Multi-level Correlating for Visual Tracking

no code implementations13 Oct 2018 Yipeng Ma, Chun Yuan, Peng Gao, Fei Wang

Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently.

Visual Tracking

WiPIN: Operation-free Passive Person Identification Using Wi-Fi Signals

no code implementations6 Oct 2018 Fei Wang, Jinsong Han, Feng Lin, Kui Ren

Wi-Fi signals-based person identification attracts increasing attention in the booming Internet-of-Things era mainly due to its pervasiveness and passiveness.

Person Identification

Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk

no code implementations27 Sep 2018 Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo

We used the simulation data to verify the effectiveness of this method, and then we applied it to ICU mortality risk prediction and demonstrated its superiority over other conventional supervised NMF methods.

ICU Mortality Time Series

Model-Protected Multi-Task Learning

1 code implementation18 Sep 2018 Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Chang-Shui Zhang, Fei Wang

Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together.

Multi-Task Learning

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network

1 code implementation17 Sep 2018 Xi Sheryl Zhang, Jingyuan Chou, Fei Wang

For complicated diseases such as Parkinson's and Alzheimer's, both EHR and neuroimaging information are very important for disease understanding because they contain complementary aspects of the disease.

General Classification

The Devil of Face Recognition is in the Noise

2 code implementations ECCV 2018 Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, Chen Change Loy

2) With the original datasets and cleaned subsets, we profile and analyze label noise properties of MegaFace and MS-Celeb-1M.

Face Recognition

Gated Fusion Network for Joint Image Deblurring and Super-Resolution

2 code implementations27 Jul 2018 Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang

Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution.

Deblurring Image Super-Resolution

A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations

2 code implementations26 Jun 2018 Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang

This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations.

Classification General Classification

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

1 code implementation22 May 2018 Xi Sheryl Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang

Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans.

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders

no code implementations28 Apr 2018 Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

In this paper, we propose to learn accurate and interpretable similarity measures from multiple types of drug features.

High Performance Visual Tracking with Circular and Structural Operators

no code implementations23 Apr 2018 Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao, Yan Zhang

Based on the proposed circular and structural operators, a set of primal confidence score maps can be obtained by circular correlating feature maps with their corresponding structural correlation filters.

Visual Tracking

A Complementary Tracking Model with Multiple Features

no code implementations20 Apr 2018 Peng Gao, Yipeng Ma, Chao Li, Ke Song, Fei Wang, Liyi Xiao

Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.

Visual Tracking

Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking

no code implementations19 Apr 2018 Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao

To the best of our knowledge, we are the first to incorporate the advantages of DCF and SOSVM for TIR object tracking.

Thermal Infrared Object Tracking

Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator

1 code implementation27 Mar 2018 Fei Wang, Daniel Zheng, James Decker, Xilun Wu, Grégory M. Essertel, Tiark Rompf

Deep learning has seen tremendous success over the past decade in computer vision, machine translation, and gameplay.

Machine Translation Translation

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

no code implementations ECCV 2018 Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be solved by finding the eigenvector corresponding to the smallest, or zero, eigenvalue of a matrix representing a linear system.

3D Pose Estimation

Differentially Private Generative Adversarial Network

2 code implementations19 Feb 2018 Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou

Generative Adversarial Network (GAN) and its variants have recently attracted intensive research interests due to their elegant theoretical foundation and excellent empirical performance as generative models.

From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero

1 code implementation14 Feb 2018 Fei Wang, Tiark Rompf

Despite the recent successes of deep neural networks in various fields such as image and speech recognition, natural language processing, and reinforcement learning, we still face big challenges in bringing the power of numeric optimization to symbolic reasoning.

Decision Making Dimensionality Reduction +3

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

no code implementations13 Feb 2018 Mengying Sun, Fengyi Tang, Jin-Feng Yi, Fei Wang, Jiayu Zhou

The surging availability of electronic medical records (EHR) leads to increased research interests in medical predictive modeling.

Structural Deep Embedding for Hyper-Networks

1 code implementation28 Nov 2017 Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

These hyper-networks pose great challenges to existing network embedding methods when the hyperedges are indecomposable, that is to say, any subset of nodes in a hyperedge cannot form another hyperedge.

Social and Information Networks

Heuristic Search for Structural Constraints in Data Association

no code implementations8 Nov 2017 Xiao Zhou, Peilin Jiang, Fei Wang

In this paper, we propose a new heuristic method to search for structural constraints (HSSC) of multiple targets when solving the problem of online multi-object tracking.

Multi-Object Tracking Online Multi-Object Tracking

Accelerate RNN-based Training with Importance Sampling

no code implementations31 Oct 2017 Fei Wang, Xiaofeng Gao, Guihai Chen, Jun Ye

Unfortunately, the calculation of the sampling probability distribution $P$ causes a major limitation of IS: it requires the input data to be well-structured, i. e., the feature vector is properly defined.

Stochastic Optimization

Patient Subtyping via Time-Aware LSTM Networks

1 code implementation KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2017 Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou

We propose a patient subtyping model that leverages the proposed T-LSTM in an auto-encoder to learn a powerful single representation for sequential records of patients, which are then used to cluster patients into clinical subtypes.

Multivariate Time Series Forecasting

Residual Attention Network for Image Classification

14 code implementations CVPR 2017 Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang

In this work, we propose "Residual Attention Network", a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in an end-to-end training fashion.

Classification General Classification +2

SPARTan: Scalable PARAFAC2 for Large & Sparse Data

no code implementations13 Mar 2017 Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun

For example, when modeling medical features across a set of patients, the number and duration of treatments may vary widely in time, meaning there is no meaningful way to align their clinical records across time points for analysis purposes.

GaDei: On Scale-up Training As A Service For Deep Learning

no code implementations18 Nov 2016 Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bo-Wen Zhou, Fei Wang

By evaluating the NLC workloads, we show that only the conservative hyper-parameter setup (e. g., small mini-batch size and small learning rate) can guarantee acceptable model accuracy for a wide range of customers.

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study

1 code implementation14 Sep 2015 Suyog Gupta, Wei zhang, Fei Wang

This paper presents Rudra, a parameter server based distributed computing framework tuned for training large-scale deep neural networks.

Distributed Computing Image Classification

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics

no code implementations27 May 2015 Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang

As cascades are typical dynamic processes, it is always interesting and important to predict the cascade size at any time, or predict the time when a cascade will reach a certain size (e. g. an threshold for outbreak).

Social and Information Networks Physics and Society

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