Search Results for author: Fei Wang

Found 201 papers, 88 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

Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks

no code implementations23 Jan 2023 Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang

In the human brain, neuronal diversity is an enabling factor for all kinds of biological intelligent behaviors.

CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose

no code implementations12 Dec 2022 Fei Wang, Jun Cheng, Penglei Liu

Photometric differences are widely used as supervision signals to train neural networks for estimating depth and camera pose from unlabeled monocular videos.

Model Optimization Self-Supervised Learning

Denoising Self-attentive Sequential Recommendation

no code implementations8 Dec 2022 Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang

Transformer-based sequential recommenders are very powerful for capturing both short-term and long-term sequential item dependencies.

Denoising Sequential Recommendation

Improving Training and Inference of Face Recognition Models via Random Temperature Scaling

no code implementations2 Dec 2022 Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Fei Wang, Baigui Sun, Xuansong Xie, Yu Qiao

Intuitively, FR algorithms can benefit from both the estimation of uncertainty and the detection of out-of-distribution (OOD) samples.

Face Recognition OOD Detection

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

no code implementations22 Nov 2022 Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang

We present SadTalker, which generates 3D motion coefficients (head pose, expression) of the 3DMM from audio and implicitly modulates a novel 3D-aware face render for talking head generation.

Talking Head Generation

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

no code implementations21 Nov 2022 Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang

Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application.

Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues

no code implementations10 Nov 2022 Canyu Chen, Haoran Wang, Matthew Shapiro, Yunyu Xiao, Fei Wang, Kai Shu

Because of the uniqueness and importance of combating health misinformation in social media, we conduct this survey to further facilitate interdisciplinary research on this problem.


AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease

no code implementations7 Nov 2022 Chengsheng Mao, Jie Xu, Luke Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo

Materials and Methods: We identified 3657 patients diagnosed with MCI together with their progress notes from Northwestern Medicine Enterprise Data Warehouse (NMEDW) between 2000-2020.

Salience Allocation as Guidance for Abstractive Summarization

1 code implementation22 Oct 2022 Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu

Recent literature adds extractive summaries as guidance for abstractive summarization models to provide hints of salient content and achieves better performance.

Abstractive Text Summarization

Regularized Data Programming with Bayesian Priors

no code implementations17 Oct 2022 Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov

The cost of manual data labeling can be a significant obstacle in supervised learning.

Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review

no code implementations11 Oct 2022 Matthew Brendel, Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang

Single-cell RNA-sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously.

Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline

no code implementations6 Oct 2022 Yuanbin Wang, Leyan Zhu, Shaofei Huang, Tianrui Hui, Xiaojie Li, Fei Wang, Si Liu

To better bridge the domain gap between source domain (synthetic data) and target domain (real-world data), we also propose a Selective Feature Alignment (SFA) module which only aligns the features of consistent foreground area between the two domains, thus realizing inter-domain intra-modality adaptation.

Autonomous Driving Semantic Segmentation +1

A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface

no code implementations7 Sep 2022 Jingcong Li, Fei Wang, Haiyun Huang, Feifei Qi, JiaHui Pan

The proposed SSML learns a meta model with the existing subjects first, then fine-tunes the model in a semi-supervised learning manner, i. e. using few labeled and many unlabeled samples of target subject for calibration.

Emotion Recognition Meta-Learning +3

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting

1 code implementation10 Aug 2022 Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu

These results suggest that we can design efficient and effective models as long as they solve the indistinguishability of samples, without being limited to STGNNs.

Multivariate Time Series Forecasting

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization

1 code implementation18 Jul 2022 Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang

We develop two simple yet effective plug and play methods to improve the performance of existing local and non-local propagation-based VSR algorithms on widely-used public videos.

Video Super-Resolution

ScaleNet: Searching for the Model to Scale

1 code implementation15 Jul 2022 Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian

Recently, community has paid increasing attention on model scaling and contributed to developing a model family with a wide spectrum of scales.

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

1 code implementation12 Jul 2022 Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

Vision transformers (ViTs) are usually considered to be less light-weight than convolutional neural networks (CNNs) due to the lack of inductive bias.

Image Classification Inductive Bias +3

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

1 code implementation12 Jul 2022 Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu

We observe that the core difficulty for heterogeneous KD (hetero-KD) is the significant semantic gap between the backbone features of heterogeneous detectors due to the different optimization manners.

Knowledge Distillation object-detection +2

Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets

no code implementations12 Jul 2022 Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang

The second issue refers to that models may output misleading predictions due to epistemic uncertainty and aleatoric uncertainty, thus existing methods that rely solely on the output probabilities may fail to distinguish confident samples.

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network

no code implementations19 Jun 2022 Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong

Despite the success of the Sylvester equation empowered methods on various graph mining applications, such as semi-supervised label learning and network alignment, there also exists several limitations.

Association Graph Mining +1

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting

1 code implementation18 Jun 2022 Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen

However, intuitively, traffic data encompasses two different kinds of hidden time series signals, namely the diffusion signals and inherent signals.

Graph Learning Time Series Forecasting +1

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

no code implementations18 Jun 2022 Jianmin Chen, Robert H. Aseltine, Fei Wang, Kun Chen

In a suicide risk study with EHR data, our approach is able to select and aggregate prior mental health diagnoses as guided by the diagnosis hierarchy of the International Classification of Diseases.

Dimensionality Reduction Specificity

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

1 code implementation18 Jun 2022 Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu

However, the patterns of time series and the dependencies between them (i. e., the temporal and spatial patterns) need to be analyzed based on long-term historical MTS data.

Multivariate Time Series Forecasting Traffic Prediction

Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)

no code implementations10 Jun 2022 Xizhe Zhang, Fei Wang, Weixiong Zhang

They questioned the generalizability of our methods and the statistical significance, stability, and overfitting of the results, and proposed a pipeline for disease subtyping.

BIG-bench Machine Learning Misconceptions

Masked Distillation with Receptive Tokens

1 code implementation29 May 2022 Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

To obtain a group of masks, the receptive tokens are learned via the regular task loss but with teacher fixed, and we also leverage a Dice loss to enrich the diversity of learned masks.

object-detection Object Detection +1

Green Hierarchical Vision Transformer for Masked Image Modeling

1 code implementation26 May 2022 Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki

We present an efficient approach for Masked Image Modeling (MIM) with hierarchical Vision Transformers (ViTs), allowing the hierarchical ViTs to discard masked patches and operate only on the visible ones.

Object Detection

Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing

1 code implementation25 May 2022 Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen

Due to shortcuts from surface patterns to annotated entity labels and biased training, existing entity typing models are subject to the problem of spurious correlations.

Data Augmentation Entity Typing

Knowledge Distillation from A Stronger Teacher

1 code implementation21 May 2022 Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

In this paper, we show that simply preserving the relations between the predictions of teacher and student would suffice, and propose a correlation-based loss to capture the intrinsic inter-class relations from the teacher explicitly.

Knowledge Distillation Object Detection +1

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 May 2022 Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.

Image Super-Resolution Single Image Super Resolution

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

1 code implementation NAACL 2022 Fei Wang, Zhewei Xu, Pedro Szekely, Muhao Chen

This prunes the full self-attention structure into an order-invariant graph attention that captures the connected graph structure of cells belonging to the same row or column, and it differentiates between relevant cells and irrelevant cells from the structural perspective.

Data Augmentation Data-to-Text Generation +2

A Keypoint-based Global Association Network for Lane Detection

1 code implementation CVPR 2022 Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang

Earlier works follow a top-down roadmap to regress predefined anchors into various shapes of lane lines, which lacks enough flexibility to fit complex shapes of lanes due to the fixed anchor shapes.

Ranked #3 on Lane Detection on TuSimple (F1 score metric)

Association Keypoint Estimation +1

Multimodal Machine Learning in Precision Health

no code implementations10 Apr 2022 Adrienne Kline, Hanyin Wang, Yikuan Li, Saya Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

Attempts to improve prediction and resemble the multimodal nature of clinical expert decision-making this has been met in the computational field of machine learning by a fusion of disparate data.

BIG-bench Machine Learning Decision Making

BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis

1 code implementation Findings (ACL) 2022 Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, Zhiyong He

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity inference.

Aspect-Based Sentiment Analysis Graph Attention

TR-MOT: Multi-Object Tracking by Reference

no code implementations30 Mar 2022 Mingfei Chen, Yue Liao, Si Liu, Fei Wang, Jenq-Neng Hwang

RS takes previous detected results as references to aggregate the corresponding features from the combined features of the adjacent frames and makes a one-to-one track state prediction for each reference in parallel.

Association Multi-Object Tracking

Learning Where to Learn in Cross-View Self-Supervised Learning

1 code implementation CVPR 2022 Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki

In this paper, we present a new approach, Learning Where to Learn (LEWEL), to adaptively aggregate spatial information of features, so that the projected embeddings could be exactly aligned and thus guide the feature learning better.

object-detection Object Detection +3

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

1 code implementation27 Mar 2022 Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang

Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications.

Searching for Network Width with Bilaterally Coupled Network

1 code implementation25 Mar 2022 Xiu Su, Shan You, Jiyang Xie, 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.


DyRep: Bootstrapping Training with Dynamic Re-parameterization

1 code implementation CVPR 2022 Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu

Structural re-parameterization (Rep) methods achieve noticeable improvements on simple VGG-style networks.

Relational Self-Supervised Learning

no code implementations16 Mar 2022 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

Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval

1 code implementation8 Mar 2022 Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, DaCheng Tao

In contrast to previous works, we focus on the reproducibility of the approaches and the examination of the elements that lead to improved performance by pretrained and nonpretrained models in retrieving images and text.

Image-text Retrieval Information Retrieval +2

CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

2 code implementations28 Feb 2022 Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu

Furthermore, an overlapped inference mechanism is introduced to effectively eliminate the boundary artifacts that are common for encoder-decoder-based denoising models.


Relational Surrogate Loss Learning

1 code implementation ICLR 2022 Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu

Evaluation metrics in machine learning are often hardly taken as loss functions, as they could be non-differentiable and non-decomposable, e. g., average precision and F1 score.

Image Classification Machine Reading Comprehension +2

Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets

1 code implementation AAAI 2022 Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou

In this work, we proposed a DDI detection method based on molecular structures using graph convolutional networks and deep sets.

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis

no code implementations18 Jan 2022 Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu

To evaluate our proposed method's utility and privacy loss, we apply our model on a medical report disease label classification task using two noisy challenging clinical text datasets.

Inference Attack Membership Inference Attack +4

Manifoldron: Direct Space Partition via Manifold Discovery

2 code implementations14 Jan 2022 Dayang Wang, Feng-Lei Fan, Bo-Jian Hou, Hao Zhang, Zhen Jia, Boce Zhou, Rongjie Lai, Hengyong Yu, Fei Wang

A neural network with the widely-used ReLU activation has been shown to partition the sample space into many convex polytopes for prediction.

BIG-bench Machine Learning

Face2Exp: Combating Data Biases for Facial Expression Recognition

1 code implementation CVPR 2022 Dan Zeng, Zhiyuan Lin, Xiao Yan, YuTing Liu, Fei Wang, Bo Tang

To combat the mismatch between FR and FER data, Meta-Face2Exp uses a circuit feedback mechanism, which improves the base network with the feedback from the adaptation network.

Face Recognition Facial Expression Recognition

Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

1 code implementation9 Dec 2021 Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang

Instead of estimating alignment information, we propose a simple and effective deep Recurrent Neural Network with Multi-scale Bi-directional Propagation (RNN-MBP) to effectively propagate and gather the information from unaligned neighboring frames for better video deblurring.

Deblurring Video Restoration

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

no code implementations9 Dec 2021 Fei Wang, Xilei Wu, Xin Wang, Jianlei Chi, Jingang Shi, Dong Huang

We propose UWash, an intelligent solution upon smartwatches, to assess handwashing for the purpose of raising users' awareness and cultivating habits in high-quality handwashing.

Gesture Recognition Semantic Segmentation

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

1 code implementation6 Dec 2021 Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li

Challenges of the problem include 1) how to align large-scale entities between sources to share information and 2) how to mitigate negative transfer from joint learning multi-source data.

GreedyNASv2: Greedier Search with a Greedy Path Filter

no code implementations CVPR 2022 Tao Huang, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu

In this paper, we leverage an explicit path filter to capture the characteristics of paths and directly filter those weak ones, so that the search can be thus implemented on the shrunk space more greedily and efficiently.

Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure

no code implementations31 Oct 2021 BoJian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang

As a result, clinicians cannot easily or rapidly scrutinize the CDSS recommendation when facing a difficult diagnosis or treatment decision in practice.

Persona Authentication through Generative Dialogue

2 code implementations25 Oct 2021 Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou

In this paper we define and investigate the problem of \emph{persona authentication}: learning a conversational policy to verify the consistency of persona models.

On 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-Góes, 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.

Few-shot graph link prediction with domain adaptation

no code implementations29 Sep 2021 Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun

In this work, we propose an adversarial training based modification to the current state-of-the-arts link prediction method to solve this problem.

Domain Adaptation Few-Shot Learning +1

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 implementation Findings (EMNLP) 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

Neural Network Gaussian Processes by Increasing Depth

1 code implementation29 Aug 2021 Shao-Qun Zhang, Fei Wang, Feng-Lei Fan

Inspired by a width-depth symmetry consideration, we use a shortcut network to show that increasing the depth of a neural network can also give rise to a Gaussian process, which is a valuable addition to the existing theory and contributes to revealing the true picture of deep learning.

Gaussian Processes

Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning

1 code implementation NeurIPS 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

Collaboration Equilibrium in Federated Learning

1 code implementation18 Aug 2021 Sen Cui, Jian Liang, Weishen Pan, Kun Chen, ChangShui Zhang, Fei Wang

Federated learning (FL) refers to the paradigm of learning models over a collaborative research network involving multiple clients without sacrificing privacy.

Federated Learning

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 Anomaly Detection

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

ViTAS: 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

Vision transformers (ViTs) inherited the success of NLP but their structures have not been sufficiently investigated and optimized for visual tasks.

Inductive Bias Neural Architecture Search

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.

BIG-bench Machine Learning

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.

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 Natural Language Queries +2

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: Towards a Deeper Appreciation on Face Detection

2 code implementations CVPR 2022 Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li

As a result, practical solutions on label assignment, scale-level data augmentation, and reducing false alarms are necessary for advancing face detectors.

Data Augmentation Face Detection

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

Human-Object Interaction 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

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

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

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

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

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

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

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

Stretchable Cells Help DARTS Search Better

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

However, even for this consistent search, the searched cells often suffer from poor performance, especially for the supernet with fewer layers, as current DARTS methods are prone to wide and shallow cells, and this topology collapse induces sub-optimal searched cells.

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.


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 +1

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

1 code implementation20 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 #2 on Coreference Resolution on CoNLL 2012 (using extra training data)

coreference-resolution Coreference Resolution +2

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

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.

Deep Learning Based Single Sample Per Person Face Recognition: A Survey

no code implementations9 Jun 2020 Fan Liu, Delong Chen, Fei Wang, Zewen Li, Feng Xu

Face recognition under this situation is referred to as single sample face recognition and poses significant challenges to the effective training of deep models.

Domain Adaptation Face Recognition

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.

Image Dehazing

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 Scheduling

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 +2

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 Single 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 +3

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 Coreference Resolution +2

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 +1

Graph Neural Networks for Reasoning 2-Quantified Boolean Formulas

no code implementations25 Sep 2019 Fei Wang, Zhanfu Yang, Ziliang Chen, Guannan Wei, Tiark Rompf

In this paper, we target the QBF (Quantified Boolean Formula) satisfiability problem, the complexity of which is in-between propositional logic and predicate logic, and investigate the feasibility of learning GNN-based solvers and GNN-based heuristics for the cases with a universal-existential quantifier alternation (so-called 2QBF problems).

Logical Reasoning

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

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

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.

Image Segmentation 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

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

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.


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.

object-detection RGB Salient Object Detection +1