Search Results for author: Jing Wang

Found 150 papers, 41 papers with code

Modeling Aspect Correlation for Aspect-based Sentiment Analysis via Recurrent Inverse Learning Guidance

no code implementations COLING 2022 Longfeng Li, Haifeng Sun, Qi Qi, Jingyu Wang, Jing Wang, Jianxin Liao

Second, we propose Inverse Learning Guidance to improve the selection of aspect feature by considering aspect correlation, which provides more useful information to determine polarity.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Manipulating the Label Space for In-Context Classification

no code implementations1 Dec 2023 Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng

Specifically, using our approach on ImageNet, we increase accuracy from 74. 70\% in a 4-shot setting to 76. 21\% with just 2 shots.

Classification Contrastive Learning +1

Automated interpretation of congenital heart disease from multi-view echocardiograms

no code implementations30 Nov 2023 Jing Wang, Xiaofeng Liu, Fangyun Wang, Lin Zheng, Fengqiao Gao, Hanwen Zhang, Xin Zhang, Wanqing Xie, Binbin Wang

Our video-based model can diagnose with an accuracy of 93. 9\% (binary classification), and 92. 1\% (3-class classification) in a collected 2D video testing set, which does not need key-frame selection and view annotation in testing.

Binary Classification

Key Issues in Wireless Transmission for NTN-Assisted Internet of Things

no code implementations25 Nov 2023 Chenhao Qi, Jing Wang, Leyi Lyu, Lei Tan, Jinming Zhang, Geoffrey Ye Li

The long-distance wireless signal propagation in NTNs leads to severe path loss and large latency, where the accurate acquisition of channel state information (CSI) is another challenge, especially for fast-moving non-terrestrial base stations (NTBSs).

Language-guided Few-shot Semantic Segmentation

no code implementations23 Nov 2023 Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang

Few-shot learning is a promising way for reducing the label cost in new categories adaptation with the guidance of a small, well labeled support set.

Few-Shot Semantic Segmentation Segmentation +1

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

no code implementations6 Nov 2023 Wonho Bae, Jing Wang, Danica J. Sutherland

Most meta-learning methods assume that the (very small) context set used to establish a new task at test time is passively provided.

Active Learning Meta-Learning

High Visual-Fidelity Learned Video Compression

no code implementations7 Oct 2023 Meng Li, Yibo Shi, Jing Wang, Yunqi Huang

With the growing demand for video applications, many advanced learned video compression methods have been developed, outperforming traditional methods in terms of objective quality metrics such as PSNR.

Video Compression

A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks

no code implementations2 Oct 2023 Outongyi Lv, Bingxin Zhou, Jing Wang, Xiang Xiao, Weishu Zhao, Lirong Zheng

Drawing inspiration from opinion dynamics in sociology, we propose ODNet, a novel message passing scheme incorporating bounded confidence, to refine the influence weight of local nodes for message propagation.

Graph Representation Learning Sociology

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance

1 code implementation29 Sep 2023 Yunxiang Li, Bowen Jing, Zihan Li, Jing Wang, You Zhang

The recent developments of foundation models in computer vision, especially the Segment Anything Model (SAM), allow scalable and domain-agnostic image segmentation to serve as a general-purpose segmentation tool.

Few-Shot Learning Image Segmentation +3

Unsupervised Contrast-Consistent Ranking with Language Models

no code implementations13 Sep 2023 Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik

Recent work focuses on pairwise, pointwise, and listwise prompting techniques to elicit a language model's ranking knowledge.

Language Modelling

Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

no code implementations5 Sep 2023 Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N. Sanford, Jing Wang

Conclusions: A treatment planning CT based radiomics and clinical combined model had improved prognostic performance in predicting RFS for ASCC patients treated with CRT as compared to a model using clinical features only.

feature selection Survival Prediction

Frequency Compensated Diffusion Model for Real-scene Dehazing

1 code implementation21 Aug 2023 Jing Wang, Songtao Wu, Kuanhong Xu, Zhiqiang Yuan

In this paper, we consider a dehazing framework based on conditional diffusion models for improved generalization to real haze.

Image Dehazing

FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings

1 code implementation17 Aug 2023 Yulin Su, Min Yang, Minghui Qiu, Jing Wang, Tao Wang

Logo embedding plays a crucial role in various e-commerce applications by facilitating image retrieval or recognition, such as intellectual property protection and product search.

Image Retrieval Optical Character Recognition (OCR)

Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion

no code implementations13 Aug 2023 Yutao Jin, Bin Liu, Jing Wang

The application of video captioning models aims at translating the content of videos by using accurate natural language.

Video Captioning

ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo

no code implementations4 Aug 2023 Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang, Zhibin Wang

to provide additional consistency constraints, which grows GPU memory consumption and complicates the model's structure and training pipeline.

Optical Flow Estimation Semantic Segmentation

Dynamic Token-Pass Transformers for Semantic Segmentation

no code implementations3 Aug 2023 Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei zhang

Vision transformers (ViT) usually extract features via forwarding all the tokens in the self-attention layers from top to toe.

Segmentation Semantic Segmentation

A Hybrid Optimization and Deep Learning Algorithm for Cyber-resilient DER Control

no code implementations31 Jul 2023 Mohammad Panahazari, Matthew Koscak, Jianhua Zhang, Daqing Hou, Jing Wang, David Wenzhong Gao

To this end, a hybrid feedback-based optimization algorithm along with deep learning forecasting technique is proposed to specifically address the cyber-related issues.

Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting

no code implementations28 Jun 2023 Yiwen Shi, Ping Ren, Jing Wang, Biao Han, Taha ValizadehAslani, Felix Agbavor, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang

Specifically, we propose a three-turn iterative prompting approach to food effect summarization in which the keyword-focused and length-controlled prompts are respectively provided in consecutive turns to refine the quality of the generated summary.

Text Summarization

Genes in Intelligent Agents

1 code implementation17 Jun 2023 Fu Feng, Jing Wang, Xu Yang, Xin Geng

Inspired by the biological intelligence, artificial intelligence (AI) has devoted to building the machine intelligence.

reinforcement-learning Reinforcement Learning (RL)

Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction

no code implementations16 Jun 2023 Shuai Xiao, Chen Pan, Min Wang, Xinxin Zhu, Siqiao Xue, Jing Wang, Yunhua Hu, James Zhang, Jinghua Feng

To this end, we formulate the problem as a partially observable Markov decision problem (POMDP) and employ an environment correction algorithm based on the characteristics of the business.

Hierarchical Reinforcement Learning reinforcement-learning

MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction

1 code implementation30 May 2023 Jing Wang, Aixin Sun, Hao Zhang, XiaoLi Li

Given a query, the task of Natural Language Video Localization (NLVL) is to localize a temporal moment in an untrimmed video that semantically matches the query.

Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet

no code implementations23 May 2023 Jing Wang, Hairun Xie, Miao Zhang, Hui Xu

The dominant latent space further reveals a strong relevance with the key flow features located in the boundary layers downstream of shock.

Tight and fast generalization error bound of graph embedding in metric space

no code implementations13 May 2023 Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi

However, recent theoretical analyses have shown a much higher upper bound on non-Euclidean graph embedding's generalization error than Euclidean one's, where a high generalization error indicates that the incompleteness and noise in the data can significantly damage learning performance.

Graph Embedding

Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy

no code implementations12 May 2023 Shoieb Ahmed Chowdhury, M. F. N. Taufique, Jing Wang, Marissa Masden, Madison Wenzlick, Ram Devanathan, Alan L Schemer-Kohrn, Keerti S Kappagantula

We combine scanning electron microscopy (SEM) images of 347H stainless steel as training data and electron backscatter diffraction (EBSD) micrographs as pixel-wise labels for grain boundary detection as a semantic segmentation task.

Boundary Detection Segmentation +1

Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models

no code implementations3 May 2023 Qiufeng Wang, Xu Yang, Shuxia Lin, Jing Wang, Xin Geng

(i) Accumulating: the knowledge is accumulated during the continuous learning of an ancestry model.

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI

no code implementations30 Apr 2023 Yuheng Li, Jacob Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang

We introduce a novel end-to-end Cross-Shaped windows (CSwin) transformer UNet model, CSwin UNet, to detect clinically significant prostate cancer (csPCa) in prostate bi-parametric MR imaging (bpMRI) and demonstrate the effectiveness of our proposed self-supervised pre-training framework.

Self-Supervised Learning

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation

no code implementations21 Apr 2023 Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Yuanxiu Cai, Shanshan Song, Jiangyun Li

The research community has witnessed the powerful potential of self-supervised Masked Image Modeling (MIM), which enables the models capable of learning visual representation from unlabeled data.

Image Segmentation Medical Image Segmentation +2

Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models

1 code implementation5 Apr 2023 Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, RuiQi Li, Steve Jiang, Jing Wang, You Zhang

However, for medical image translation, the existing diffusion models are deficient in accurately retaining structural information since the structure details of source domain images are lost during the forward diffusion process and cannot be fully recovered through learned reverse diffusion, while the integrity of anatomical structures is extremely important in medical images.

Anatomy SSIM +2

Evidence-aware multi-modal data fusion and its application to total knee replacement prediction

no code implementations24 Mar 2023 Xinwen Liu, Jing Wang, S. Kevin Zhou, Craig Engstrom, Shekhar S. Chandra

For each branch, there is an evidence network that takes the extracted features as input and outputs an evidence score, which is designed to represent the reliability of the output from the current branch.

PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models

no code implementations23 Mar 2023 Yuntong Zhang, Jingye Xu, Mimi Xie, Wei Wang, Keying Ye, Jing Wang, Dakai Zhu

Moreover, our analysis showed that DT models with 10 to 20 input features usually have good accuracy, while are several magnitude smaller in model sizes and faster in inference time.

Heart rate estimation

Data Augmentation For Label Enhancement

no code implementations21 Mar 2023 Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng

Existing LE approach have the following problems: (\textbf{i}) They use logical label to train mappings to LD, but the supervision information is too loose, which can lead to inaccurate model prediction; (\textbf{ii}) They ignore feature redundancy and use the collected features directly.

Data Augmentation Dimensionality Reduction

Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils

no code implementations6 Mar 2023 Hairun Xie, Jing Wang, Miao Zhang

In the proposed model, a primary network is responsible for representing the relationship between the lift and angle of attack, while the geometry information is encoded into a hyper network to predict the unknown parameters involved in the primary network.


Revisiting Weighted Strategy for Non-stationary Parametric Bandits

no code implementations5 Mar 2023 Jing Wang, Peng Zhao, Zhi-Hua Zhou

We propose a refined analysis framework, which simplifies the derivation and importantly produces a simpler weight-based algorithm that is as efficient as window/restart-based algorithms while retaining the same regret as previous studies.

Inaccurate Label Distribution Learning

no code implementations25 Feb 2023 Zhiqiang Kou, Yuheng Jia, Jing Wang, Xin Geng

The previous LDL methods all assumed the LDs of the training instances are accurate.

Differentiable Arbitrating in Zero-sum Markov Games

no code implementations20 Feb 2023 Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu

We initiate the study of how to perturb the reward in a zero-sum Markov game with two players to induce a desirable Nash equilibrium, namely arbitrating.

Multi-agent Reinforcement Learning reinforcement-learning +1

Joint Beamforming and PD Orientation Design for Mobile Visible Light Communications

no code implementations21 Dec 2022 Shuai Ma, Jing Wang, Chun Du, Hang Li, Xiaodong Liu, Youlong Wu, Naofal Al-Dhahir, Shiyin Li

To address this challenge, we propose an alternating optimization algorithm to obtain the transmit beamforming and the PD orientation.

MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering

no code implementations11 Nov 2022 Shanshan Song, Jiangyun Li, Jing Wang, Yuanxiu Cai, Wenkai Dong

There is a key problem in the medical visual question answering task that how to effectively realize the feature fusion of language and medical images with limited datasets.

Medical Visual Question Answering Question Answering +1

Modified EDAS Method Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-valued Intuitionistic Fuzzy Information

no code implementations5 Nov 2022 Jing Wang, Qiang Cai, Guiwu Wei, Ningna Liao

Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, the original EDAS method based on the CPT under IVIFSs (IVIF-CPT-MABAC) method is built for MAGDM issues.

Decision Making

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective

no code implementations2 Oct 2022 Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David Sher, Steve Jiang, Jing Wang

Especially for smaller, single institutional datasets, it may be important to evaluate multiple estimations techniques before incorporating a model into clinical practice.

Decision Making Specificity +1

Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

1 code implementation22 Sep 2022 Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang

For Head and Neck Cancers (HNC) patient management, automatic gross tumor volume (GTV) segmentation and accurate pre-treatment cancer recurrence prediction are of great importance to assist physicians in designing personalized management plans, which have the potential to improve the treatment outcome and quality of life for HNC patients.

Management Segmentation +2

A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation

1 code implementation23 Aug 2022 Shu Tang, Yang Wu, Hongxing Qin, Xianzhong Xie, Shuli Yang, Jing Wang

Most existing deep-learning-based single image dynamic scene blind deblurring (SIDSBD) methods usually design deep networks to directly remove the spatially-variant motion blurs from one inputted motion blurred image, without blur kernels estimation.

Deblurring Image Restoration

AlphaVC: High-Performance and Efficient Learned Video Compression

no code implementations29 Jul 2022 Yibo Shi, Yunying Ge, Jing Wang, Jue Mao

With these powerful techniques, this paper proposes AlphaVC, a high-performance and efficient learned video compression scheme.

motion prediction Video Compression +1

Content-oriented learned image compression

no code implementations28 Jul 2022 Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang

In recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded the classic methods in terms of rate-distortion performance.

Image Compression

Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment

no code implementations25 Jul 2022 Yiwen Shi, Jing Wang, Ping Ren, Taha ValizadehAslani, Yi Zhang, Meng Hu, Hualou Liang

Product-specific guidances (PSGs) recommended by the United States Food and Drug Administration (FDA) are instrumental to promote and guide generic drug product development.

Transfer Learning

Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data

1 code implementation22 Jul 2022 Taha ValizadehAslani, Yiwen Shi, Jing Wang, Ping Ren, Yi Zhang, Meng Hu, Liang Zhao, Hualou Liang

Owing to this paucity of samples, learning on the tail classes is especially challenging for the fine-tuning when transferring a pretrained model to a downstream task.

text-classification Text Classification

Positive-Negative Equal Contrastive Loss for Semantic Segmentation

no code implementations4 Jul 2022 Jing Wang, Jiangyun Li, Wei Li, Lingfei Xuan, Tianxiang Zhang, Wenxuan Wang

The contextual information is critical for various computer vision tasks, previous works commonly design plug-and-play modules and structural losses to effectively extract and aggregate the global context.

Contrastive Learning Semantic Segmentation

Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition

1 code implementation1 Jul 2022 Mingkun Yang, Minghui Liao, Pu Lu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, Xiang Bai

Inspired by the observation that humans learn to recognize the texts through both reading and writing, we propose to learn discrimination and generation by integrating contrastive learning and masked image modeling in our self-supervised method.

Contrastive Learning Scene Text Recognition

Taxonomy and evolution predicting using deep learning in images

1 code implementation28 Jun 2022 Jiewen Xiao, Wenbin Liao, Ming Zhang, Jing Wang, Jianxin Wang, Yihua Yang

Molecular and morphological characters, as important parts of biological taxonomy, are contradictory but need to be integrated.

Fine-Grained Image Recognition Zero-Shot Learning

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation

1 code implementation14 Jun 2022 Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li

For 3D medical image (e. g. CT and MRI) segmentation, the difficulty of segmenting each slice in a clinical case varies greatly.

Brain Tumor Segmentation Image Segmentation +5

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

no code implementations27 May 2022 Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt

The outcomes of this modeling approach reached the score of area under the curve of the receiver operating characteristics of 94. 2 % for the polyps and 87. 4 % for the nodules, resulting in an average gain of 5 % to 30 % over ten existing state-of-the-art lesion classification methods.

Computed Tomography (CT) Lesion Classification

A neural network model for timing control with reinforcement

1 code implementation9 May 2022 Jing Wang, Yousuf El-Jayyousi, Ilker Ozden

How do humans and animals perform trial-and-error learning when the space of possibilities is infinite?

Parametric Generative Schemes with Geometric Constraints for Encoding and Synthesizing Airfoils

no code implementations5 May 2022 Hairun Xie, Jing Wang, Miao Zhang

In contrast, the hard-constrained scheme produces airfoils with a wider range of geometric diversity while strictly adhering to the geometric constraints.

Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation

1 code implementation15 Apr 2022 Kuangen Zhang, Jiahong Chen, Jing Wang, Xinxing Chen, Yuquan Leng, Clarence W. de Silva, Chenglong Fu

EDH mitigates the divergence between labeled data of source subjects and unlabeled data of target subjects to accurately classify the locomotion modes of target subjects without labeling data.

Domain Adaptation Human Activity Recognition +1

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

no code implementations18 Mar 2022 Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum

For decades, these knowledge graphs have been developed via expert curation; however, this method can no longer keep up with today's AI development, and a transition to algorithmically generated BioMedKGs is necessary.

BIG-bench Machine Learning Knowledge Graphs +2

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

no code implementations7 Mar 2022 Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou

In this paper, we investigate the use of such side information as normalisation parameters in a convolutional neural network (CNN) to improve undersampled MRI reconstruction.

MRI Reconstruction

TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images

1 code implementation30 Jan 2022 Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha, Jing Wang, Hong Yu

Different from TransBTS, the proposed TransBTSV2 is not limited to brain tumor segmentation (BTS) but focuses on general medical image segmentation, providing a stronger and more efficient 3D baseline for volumetric segmentation of medical images.

Brain Tumor Segmentation Image Segmentation +3

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

1 code implementation20 Jan 2022 Devansh Bisla, Jing Wang, Anna Choromanska

In this paper, we study the sharpness of a deep learning (DL) loss landscape around local minima in order to reveal systematic mechanisms underlying the generalization abilities of DL models.

Preserving Domain Private Representation via Mutual Information Maximization

no code implementations9 Jan 2022 Jiahong Chen, Jing Wang, Weipeng Lin, Kuangen Zhang, Clarence W. de Silva

Recent advances in unsupervised domain adaptation have shown that mitigating the domain divergence by extracting the domain-invariant representation could significantly improve the generalization of a model to an unlabeled data domain.

Domain Generalization Unsupervised Domain Adaptation

Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic

no code implementations NeurIPS 2021 Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza

Graph embedding, which represents real-world entities in a mathematical space, has enabled numerous applications such as analyzing natural languages, social networks, biochemical networks, and knowledge bases. It has been experimentally shown that graph embedding in hyperbolic space can represent hierarchical tree-like data more effectively than embedding in linear space, owing to hyperbolic space's exponential growth property.

Generalization Bounds Graph Embedding

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

no code implementations30 Nov 2021 Yunfei Teng, Jing Wang, Anna Choromanska

Modern deep learning (DL) architectures are trained using variants of the SGD algorithm that is run with a $\textit{manually}$ defined learning rate schedule, i. e., the learning rate is dropped at the pre-defined epochs, typically when the training loss is expected to saturate.

Video Text Tracking With a Spatio-Temporal Complementary Model

1 code implementation9 Nov 2021 Yuzhe Gao, Xing Li, Jiajian Zhang, Yu Zhou, Dian Jin, Jing Wang, Shenggao Zhu, Xiang Bai

We leverage a Siamese ComplementaryModule to fully exploit the continuity characteristic of the textinstances in the temporal dimension, which effectively alleviatesthe missed detection of the text instances, and hence ensuresthe completeness of each text trajectory.

text similarity

Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction

no code implementations15 Oct 2021 Qinfeng Xiao, Shikuan Shao, Jing Wang

Recent progress of unsupervised time-series anomaly detection mainly use deep autoencoders to solve this problem, i. e. training on normal samples and producing significant reconstruction error on abnormal inputs.

Time Series Time Series Anomaly Detection +1

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation

no code implementations8 Oct 2021 Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang

For the goal of automated design of high-performance deep convolutional neural networks (CNNs), Neural Architecture Search (NAS) methodology is becoming increasingly important for both academia and industries. Due to the costly stochastic gradient descent (SGD) training of CNNs for performance evaluation, most existing NAS methods are computationally expensive for real-world deployments.

Neural Architecture Search

Can standard training with clean images outperform adversarial one in robust accuracy?

no code implementations29 Sep 2021 Jing Wang, Jiahao Hu, Guanrong Li

Thus the perturbations carefully generated by the attacker can be diminished.

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

1 code implementation4 Sep 2021 Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman

To address the above challenges, we propose a multi-view spatial-temporal graph convolutional networks (MSTGCN) with domain generalization for sleep stage classification.

Classification Domain Generalization

Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection

1 code implementation31 Aug 2021 Baisong Zhang, Weiqing Min, Jing Wang, Sujuan Hou, Qiang Hou, Yuanjie Zheng, Shuqiang Jiang

Unlike general object detection, logo detection is a challenging task, especially for small logo objects and large aspect ratio logo objects in the real-world scenario.

Management object-detection +1

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

3 code implementations ICCV 2021 Yuxin Wang, Hongtao Xie, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang

Such operation guides the vision model to use not only the visual texture of characters, but also the linguistic information in visual context for recognition when the visual cues are confused (e. g. occlusion, noise, etc.).

Language Modelling Scene Text Recognition

PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic

no code implementations20 Aug 2021 Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu

In this setting with multiple and constrained goals, this paper discovers that a probabilistic strategic parameter regime can achieve better value compared to the standard regime of finding a single deterministic parameter.

Recommendation Systems

FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network

1 code implementation10 Aug 2021 Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang

For that, we propose a novel food logo detection method Multi-scale Feature Decoupling Network (MFDNet), which decouples classification and regression into two branches and focuses on the classification branch to solve the problem of distinguishing multiple food logo categories.

Food recommendation

HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition

2 code implementations7 Aug 2021 Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen

The research on human emotion under multimedia stimulation based on physiological signals is an emerging field, and important progress has been achieved for emotion recognition based on multi-modal signals.

Emotion Recognition

Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images

no code implementations15 Jul 2021 Andrew Moyes, Richard Gault, Kun Zhang, Ji Ming, Danny Crookes, Jing Wang

Experimental results show that the MCAE model produces feature representations that are less sensitive to inter-domain variations than the comparative StaNoSA method when tested on the novel synthetic data.

Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions

no code implementations14 Jul 2021 Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P Fisher-Hoch, Joseph B Mccormic

The emergence and progression of multiple chronic conditions (MCC) over time often form a dynamic network that depends on patient's modifiable risk factors and their interaction with non-modifiable risk factors and existing conditions.

Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship

no code implementations CVPR 2021 Jing Wang, Jinhui Tang, Mingkun Yang, Xiang Bai, Jiebo Luo

Under the guidance of the geometrical relationship between OCR tokens, our LSTM-R capitalizes on a newly-devised relation-aware pointer network to select OCR tokens from the scene text for OCR-based image captioning.

Image Captioning Optical Character Recognition (OCR)

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

1 code implementation24 May 2021 Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang

Besides, the multimodal attention module is proposed to adaptively capture valuable information from multimodal data for the specific sleep stage.

object-detection Object Detection +2

Generalization Error Bound for Hyperbolic Ordinal Embedding

no code implementations21 May 2021 Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi

Hyperbolic ordinal embedding (HOE) represents entities as points in hyperbolic space so that they agree as well as possible with given constraints in the form of entity i is more similar to entity j than to entity k. It has been experimentally shown that HOE can obtain representations of hierarchical data such as a knowledge base and a citation network effectively, owing to hyperbolic space's exponential growth property.

Prediction of Prognosis and Survival of Patients with Gastric Cancer by Weighted Improved Random Forest Model

no code implementations Archives of Medical Science 2021 Cheng Xu, Jing Wang, TianLong Zheng, Yue Cao, Fan Ye

Among the 10 public datasets, the Random Forest weighted in accuracy has the best performance on 6 datasets, with an average increase of 1. 44% in accuracy and an average increase of 1. 2% in AUC.


Scene Text Retrieval via Joint Text Detection and Similarity Learning

1 code implementation CVPR 2021 Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu

Such a task is usually realized by matching a query text to the recognized words, outputted by an end-to-end scene text spotter.

Retrieval Scene Text Detection +3

Learning to Filter: Siamese Relation Network for Robust Tracking

1 code implementation CVPR 2021 Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang

RD performs in a meta-learning way to obtain a learning ability to filter the distractors from the background while RM aims to effectively integrate the proposed RD into the Siamese framework to generate accurate tracking result.

Meta-Learning Relation Network

Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI

no code implementations31 Mar 2021 Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier

MRI images of the same subject in different contrasts contain shared information, such as the anatomical structure.


Universal Undersampled MRI Reconstruction

no code implementations9 Mar 2021 Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou

Simply mixing images from multiple anatomies for training a single network does not lead to an ideal universal model due to the statistical shift among datasets of various anatomies, the need to retrain from scratch on all datasets with the addition of a new dataset, and the difficulty in dealing with imbalanced sampling when the new dataset is further of a smaller size.

Anatomy MRI Reconstruction

Hierarchical Image Compression Framework

no code implementations ICLR Workshop Neural_Compression 2021 Yunying Ge, Jing Wang, Yibo Shi, Shangyin Gao

In learning-based image compression approaches, compression models are based on variational autoencoder(VAE) framework and optimized by a rate-distortion objective function, which achieve better performance than hybrid codecs.

Image Compression

Silo discharge of mixtures of soft and rigid grains

no code implementations1 Feb 2021 Jing Wang, Bo Fan, Tivadar Pongó, Kirsten Harth, Torsten Trittel, Ralf Stannarius, Maja Illig, Tamás Börzsönyi, Raúl Cruz Hidalgo

We study the outflow dynamics and clogging phenomena of mixtures of soft, elastic low-friction spherical grains and hard frictional spheres of similar size in a quasi-two-dimensional (2D) silo with narrow orifice at the bottom.

Soft Condensed Matter

Uncertainty-Based Adaptive Learning for Reading Comprehension

no code implementations1 Jan 2021 Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold

Recent years have witnessed a surge of successful applications of machine reading comprehension.

Machine Reading Comprehension

A Guide to Global Quantum Key Distribution Networks

no code implementations28 Dec 2020 Jing Wang, Bernardo Huberman

We describe systems and methods for the deployment of global quantum key distribution (QKD) networks covering transoceanic, long-haul, metro, and access segments of the network.

Quantum Physics Cryptography and Security Computers and Society Networking and Internet Architecture

The Hoffman program of graphs: old and new

no code implementations24 Dec 2020 JianFeng Wang, Jing Wang, Maurizio Brunetti

The Hoffman program with respect to any real or complex square matrix $M$ associated to a graph $G$ stems from A. J. Hoffman's pioneering work on the limit points for the spectral radius of adjacency matrices of graphs less than $\sqrt{2+\sqrt{5}}$.

Combinatorics 05C50

Hot and counter-rotating star-forming disk galaxies in IllustrisTNG and their real-world counterparts

no code implementations3 Nov 2020 Shengdong Lu, Dandan Xu, Yunchong Wang, Yanmei Chen, Ling Zhu, Shude Mao, Volker Springel, Jing Wang, Mark Vogelsberger, Lars Hernquist

A key feature of a large population of low-mass, late-type disk galaxies are star-forming disks with exponential light distributions.

Astrophysics of Galaxies

SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions

no code implementations3 Nov 2020 Jing Wang, Anna Choromanska

The update of the proposed method, that we refer to as Stochastic Partition Function Bound (SPFB), resembles scaled stochastic gradient descent where the scaling factor relies on a second order term that is however different from the Hessian.

Point Cloud Attribute Compression via Successive Subspace Graph Transform

no code implementations29 Oct 2020 Yueru Chen, Yiting shao, Jing Wang, Ge Li, C. -C. Jay Kuo

Inspired by the recently proposed successive subspace learning (SSL) principles, we develop a successive subspace graph transform (SSGT) to address point cloud attribute compression in this work.

Fermion-fermion interaction driven instability and criticality of quadratic band crossing systems with the breaking of time-reversal symmetry

no code implementations21 Oct 2020 Ya-Hui Zhai, Jing Wang

We carefully study how the fermion-fermion interactions affect the low-energy states of a two-dimensional spin-$1/2$ fermionic system on the kagom\'{e} lattice with a quadratic band crossing point.

Strongly Correlated Electrons Mesoscale and Nanoscale Physics

Eliminating the Barriers: Demystifying Wi-Fi Baseband Design and Introducing the PicoScenes Wi-Fi Sensing Platform

2 code implementations20 Oct 2020 Zhiping Jiang, Tom H. Luan, Han Hao, Jing Wang, Xincheng Ren, Kun Zhao, Wei Xi, Yueshen Xu, Rui Li

Three barriers always hamper the research: unknown baseband design and its influence, inadequate hardware, and the lack of versatile and flexible measurement software.

Hardware Architecture

LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

1 code implementation12 Aug 2020 Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Shuqiang Jiang

LogoDet-3K creates a more challenging benchmark for logo detection, for its higher comprehensive coverage and wider variety in both logo categories and annotated objects compared with existing datasets.

Management Object Detection +1

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions

no code implementations31 Jul 2020 Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo

Bayesian networks are powerful statistical models to study the probabilistic relationships among set random variables with major applications in disease modeling and prediction.


FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method

no code implementations30 Jul 2020 Jairo Viola, YangQuan Chen, Jing Wang

From the obtained faceportraits, a Deep Convolutional Generative Adversarial Network is employed to produce new faceportraits of the nominal and failure behaviors to get a balanced dataset.

Fault Detection

Information-Based Model Discrimination for Digital Twin Behavioral Matching

no code implementations6 Jul 2020 Jairo Viola, YangQuan Chen, Jing Wang

Its search can be done using optimization-based techniques, producing a family of models based on different system datasets, so, a discrimination criterion is required to determine the best Digital Twin model.

Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference

no code implementations ACL 2020 Jing Wang, Mayank Kulkarni, Daniel Preotiuc-Pietro

Named entity recognition is a key component of many text processing pipelines and it is thus essential for this component to be robust to different types of input.

Multi-Task Learning named-entity-recognition +2

Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment

1 code implementation23 Jun 2020 Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, Clarence W. de Silva

To solve this problem, we introduce a Gaussian-guided latent alignment approach to align the latent feature distributions of the two domains under the guidance of the prior distribution.

Data Augmentation Domain Generalization +3

Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

no code implementations MIDL 2019 Wanyue Li, Wen Kong, YiWei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng

Fluorescein angiography can provide a map of retinal vascular structure and function, which is commonly used in ophthalmology diagnosis, however, this imaging modality may pose risks of harm to the patients.


Dendrite Net with Acceleration Module for Faster Nonlinear Mapping and System Identification

1 code implementation4 Jun 2020 Gang Liu, Yajing Pang, Shuai Yin, Xiaoke Niu, Jing Wang, Hong Wan

Significance: DD with AC can be used for most engineering systems, such as sensor systems, and will speed up computation in these online systems.

A Relation Spectrum Inheriting Taylor Series: Muscle Synergy and Coupling for Hand

2 code implementations25 Apr 2020 Gang Liu, Jing Wang

However, this link has yet to be understood due to the complexity of human hand.


Dendrite Net: A White-Box Module for Classification, Regression, and System Identification

1 code implementation8 Apr 2020 Gang Liu, Jing Wang

The main contribution of this paper is the basic machine learning algorithm (DD) with a white-box attribute, controllable precision for better generalization capability, and lower computational complexity.

BIG-bench Machine Learning General Classification +1

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

no code implementations29 Mar 2020 Senlin Yang, Zhengfang Wang, Jing Wang, Anthony G. Cohn, Jia-Qi Zhang, Peng Jiang, Qingmei Sui

This research proposes a Ground Penetrating Radar (GPR) data processing method for non-destructive detection of tunnel lining internal defects, called defect segmentation.

GPR Test

Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation

1 code implementation CVPR 2021 Ze Cui, Jing Wang, Shangyin Gao, Bo Bai, Tiansheng Guo, Yihui Feng

With the development of deep learning techniques, the combination of deep learning with image compression has drawn lots of attention.

Image Compression MS-SSIM +2

Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network

no code implementations7 Feb 2020 Divinah Nyasaka, Jing Wang, Haron Tinega

The Hyperspectral image (HSI) classification is a standard remote sensing task, in which each image pixel is given a label indicating the physical land-cover on the earth's surface.

Classification General Classification +2

Domain adaptation model for retinopathy detection from cross-domain OCT images

no code implementations MIDL 2019 Jing Wang, YiWei Chen, Wanyue Li, Wen Kong, Yi He, Chunhui Jiang, Guohua Shi

A deep neural network (DNN) can assist in retinopathy screening by automatically classifying patients into normal and abnormal categories according to optical coherence tomography (OCT) images.

Domain Adaptation

Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor

no code implementations2 Dec 2019 Chen Lu, Jing Wang, Shan Luo

Tactile sensors can provide detailed contact in-formation that can facilitate robots to perform dexterous, in-hand manipulation tasks.


Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

1 code implementation11 Nov 2019 Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang

Moreover, we propose a Discriminative Region Navigation and Augmentation Network (DRNA-Net), which is capable of discovering more informative logo regions and augmenting these image regions for logo classification.

Classification Data Augmentation +2

Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design

no code implementations7 Nov 2019 Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu

In recent years, the CNNs have achieved great successes in the image processing tasks, e. g., image recognition and object detection.

Image Segmentation object-detection +2

RecSim: A Configurable Simulation Platform for Recommender Systems

1 code implementation11 Sep 2019 Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier

We propose RecSim, a configurable platform for authoring simulation environments for recommender systems (RSs) that naturally supports sequential interaction with users.

Recommendation Systems reinforcement-learning +1

Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation

no code implementations1 Aug 2019 Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei

A valid question is how to encapsulate such gists/topics that are worthy of mention from an image, and then describe the image from one topic to another but holistically with a coherent structure.

Descriptive Image Paragraph Captioning +1

Structure fusion based on graph convolutional networks for semi-supervised classification

no code implementations2 Jul 2019 Guangfeng Lin, Jing Wang, Kaiyang Liao, Fan Zhao, Wanjun Chen

By solving this function, we can simultaneously obtain the fusion spectral embedding from the multi-view data and the fusion structure as adjacent matrix to input graph convolutional networks for semi-supervised classification.

Classification General Classification +2

Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features

1 code implementation22 Apr 2019 Kuangen Zhang, Ming Hao, Jing Wang, Clarence W. de Silva, Chenglong Fu

Learning on point cloud is eagerly in demand because the point cloud is a common type of geometric data and can aid robots to understand environments robustly.

Directional PointNet: 3D Environmental Classification for Wearable Robotics

no code implementations16 Mar 2019 Kuangen Zhang, Jing Wang, Chenglong Fu

Environmental information can provide reliable prior information about human motion intent, which can aid the subject with wearable robotics to walk in complex environments.

Classification General Classification

Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition

no code implementations4 Mar 2019 Jing Wang, Kuangen Zhang

However, the performance of traditional ML techniques is limited by the amount of labeled RGB-D staircase data.

General Classification Unsupervised Domain Adaptation

Generating Synthesized Computed Tomography (CT) from Cone-Beam Computed Tomography (CBCT) using CycleGAN for Adaptive Radiation Therapy

no code implementations31 Oct 2018 Xiao Liang, Liyuan Chen, Dan Nguyen, Zhiguo Zhou, Xuejun Gu, Ming Yang, Jing Wang, Steve Jiang

Dose calculation accuracy using sCT images has been improved over the original CBCT images, with the average Gamma Index passing rate increased from 95. 4% to 97. 4% for 1 mm/1% criteria.

Medical Physics

Towards Mitigating the Class-Imbalance Problem for Partial Label Learning

1 code implementation 7 2018 Jing Wang, Min-Ling Zhang

Partial label (PL) learning aims to induce a multi-class classifier from training examples where each of them is associated with a set of candidate labels, among which only one is valid.

Partial Label Learning valid

Automatic multi-objective based feature selection for classification

no code implementations9 Jul 2018 Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve Jiang, Jing Wang

Since not all radiomic features contribute to an effective classifying model, selecting an optimal feature subset is critical.

Classification feature selection +2

Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation

no code implementations2 May 2018 Jing Wang, Ze Peng, Pei Lv, Junyi Sun, Bing Zhou, Mingliang Xu

The first branch predicts the confidence maps of joints and uses a geometrical transform kernel to propagate information between neighboring joints at the confidence level.

Multi-Person Pose Estimation

Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning

1 code implementation22 Nov 2017 Zohaib Iqbal, Da Luo, Peter Henry, Samaneh Kazemifar, Timothy Rozario, Yulong Yan, Kenneth Westover, Weiguo Lu, Dan Nguyen, Troy Long, Jing Wang, Hak Choy, Steve Jiang

Deep learning has started to revolutionize several different industries, and the applications of these methods in medicine are now becoming more commonplace.


Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects

no code implementations7 Nov 2017 Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang

Motivated by the important archaeological application of exploring cultural heritage objects, in this paper we study the challenging problem of automatically segmenting curve structures that are very weakly stamped or carved on an object surface in the form of a highly noisy depth map.

Image Segmentation Semantic Segmentation

Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion

no code implementations4 Oct 2017 Zhiguo Zhou, Zhi-Jie Zhou, Hongxia Hao, Shulong Li, Xi Chen, You Zhang, Michael Folkert, Jing Wang

First, the predictive performance of the model may be reduced when features extracted from an individual imaging modality are blindly combined into a single predictive model.

Subspace Approximation for Approximate Nearest Neighbor Search in NLP

no code implementations25 Aug 2017 Jing Wang

Most natural language processing tasks can be formulated as the approximated nearest neighbor search problem, such as word analogy, document similarity, machine translation.

Machine Translation Question Answering +1

Font Size: Community Preserving Network Embedding

2 code implementations AAAI 2017 Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

While previous network embedding methods primarily preserve the microscopic structure, such as the first- and second-order proximities of nodes, the mesoscopic community structure, which is one of the most prominent feature of networks, is largely ignored.

Community Detection Network Embedding

Online Feature Selection with Group Structure Analysis

no code implementations21 Aug 2016 Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu

The problem assumes that features are generated individually but there are group structure in the feature stream.

Face Verification feature selection +1

Visual Processing by a Unified Schatten-$p$ Norm and $\ell_q$ Norm Regularized Principal Component Pursuit

no code implementations20 Aug 2016 Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan

Typically, the specific structure is assumed to be low rank, which holds for a wide range of data, such as images and videos.

Sparse Coding and Counting for Robust Visual Tracking

no code implementations28 May 2016 Risheng Liu, Jing Wang, Yiyang Wang, Zhixun Su, Yu Cai

In this paper, we propose a novel sparse coding and counting method under Bayesian framwork for visual tracking.

Visual Tracking

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data

no code implementations CVPR 2016 Jing Wang, Yu Cheng, Rogerio Schmidt Feris

These image pairs are then fed into a deep network that preserves similarity of images connected by the same track, in order to capture identity-related attribute features, and optimizes for location and weather prediction to capture additional facial attribute features.

Facial Attribute Classification Representation Learning

Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion

no code implementations24 Apr 2015 Jing Wang, Jie Shen, Huan Xu

Social trust prediction addresses the significant problem of exploring interactions among users in social networks.

Matrix Completion

Object Proposal with Kernelized Partial Ranking

no code implementations5 Feb 2015 Jing Wang, Jie Shen, Ping Li

In order to determine a small set of proposals with a high recall, a common scheme is extracting multiple features followed by a ranking algorithm which however, incurs two major challenges: {\bf 1)} The ranking model often imposes pairwise constraints between each proposal, rendering the problem away from an efficient training/testing phase; {\bf 2)} Linear kernels are utilized due to the computational and memory bottleneck of training a kernelized model.

Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey

no code implementations4 Dec 2014 Hao Zhang, Jing Wang, Jianhua Ma, Hongbing Lu, Zhengrong Liang

Statistical image reconstruction (SIR) methods have shown potential to substantially improve the image quality of low-dose X-ray computed tomography (CT) as compared to the conventional filtered back-projection (FBP) method for various clinical tasks.

Computed Tomography (CT) Image Reconstruction

Robust Face Recognition via Adaptive Sparse Representation

no code implementations18 Apr 2014 Jing Wang, Can-Yi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu

Sparse Representation (or coding) based Classification (SRC) has gained great success in face recognition in recent years.

Face Recognition General Classification +2

Fast Approximate $K$-Means via Cluster Closures

no code implementations11 Dec 2013 Jingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, Shipeng Li

Traditional $k$-means is an iterative algorithm---in each iteration new cluster centers are computed and each data point is re-assigned to its nearest center.

Clustering Image Retrieval +1

Scalable $k$-NN graph construction

no code implementations30 Jul 2013 Jingdong Wang, Jing Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li

The $k$-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to construct $k$-NN graphs remains a challenge, especially for large-scale high-dimensional data.

graph construction

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