Search Results for author: Lei Wang

Found 175 papers, 44 papers with code

ReDro: Efficiently Learning Large-sized SPD Visual Representation

no code implementations ECCV 2020 Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou

When learning this representation in deep networks, eigen-decomposition of covariance matrix is usually needed for a key step called matrix normalisation.

Fine-Grained Image Classification

Progressive Hard-case Mining across Pyramid Levels in Object Detection

1 code implementation15 Sep 2021 Binghong Wu, Yehui Yang, Dalu Yang, Junde Wu, Haifeng Huang, Lei Wang, Junwei Liu, Yanwu Xu

To mediate the influence of level imbalance, we propose a Unified Multi-level Optimization Paradigm (UMOP) consisting of two components: 1) an independent classification loss supervising each pyramid level with individual resampling considerations; 2) a progressive hard-case mining loss defining all losses across the pyramid levels without extra level-wise settings.

Object Detection

LibFewShot: A Comprehensive Library for Few-shot Learning

1 code implementation10 Sep 2021 Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo

Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmark datasets with multiple backbone architectures to evaluate common pitfalls and effects of different training tricks.

Data Augmentation Few-Shot Image Classification +1

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

1 code implementation2 Sep 2021 Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs.

Improving Ranking Correlation of Supernet with Candidates Enhancement and Progressive Training

1 code implementation12 Aug 2021 Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li

One-shot neural architecture search (NAS) applies weight-sharing supernet to reduce the unaffordable computation overhead of automated architecture designing.

Neural Architecture Search

Cascade Bagging for Accuracy Prediction with Few Training Samples

1 code implementation12 Aug 2021 Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li

To alleviate this problem, we propose a novel framework to train an accuracy predictor under few training samples.

Data Augmentation Ensemble Learning +1

Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding

no code implementations6 Aug 2021 Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang

Inspired by the recent local descriptor based few-shot learning (FSL), our general UDA model is fully built upon local descriptors (LDs) for image classification and domain adaptation.

Few-Shot Learning Image Classification +2

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling

no code implementations26 Jul 2021 Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang

Price movement forecasting aims at predicting the future trends of financial assets based on the current market conditions and other relevant information.

Metric Learning Time Series +1

Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions

1 code implementation24 Jul 2021 Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao

Together, the above two schemes give rise to a novel double-branch encoder segmentation framework for medical image segmentation, namely Crosslink-Net.

Medical Image Segmentation

Hand Image Understanding via Deep Multi-Task Learning

1 code implementation24 Jul 2021 Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu

To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.

3D Hand Pose Estimation Multi-Task Learning +1

Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning

no code implementations22 Jul 2021 Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

However, this type of methods, such as SimCLR and MoCo, relies heavily on a large number of negative pairs and thus requires either large batches or memory banks.

Representation Learning Self-Supervised Learning

A Self-Boosting Framework for Automated Radiographic Report Generation

no code implementations CVPR 2021 Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li

On one hand, the image-text matching branch helps to learn highly text-correlated visual features for the report generation branch to output high quality reports.

Image Captioning Medical Report Generation +2

Signal Acquisition of Luojia-1A Low Earth Orbit Navigation Augmentation System with Software Defined Receiver

no code implementations31 May 2021 Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen

The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.

RFCBF: enhance the performance and stability of Fast Correlation-Based Filter

no code implementations30 May 2021 Xiongshi Deng, Min Li, Lei Wang, Qikang Wan

Feature selection is a preprocessing step which plays a crucial role in the domain of machine learning and data mining.

Feature Selection

Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification

no code implementations30 May 2021 Xiongshi Deng, Min Li, Shaobo Deng, Lei Wang

In the second stage, XGBoost-MOGA searches for an optimal gene subset based on the most relevant genes's group using a multi-objective optimization genetic algorithm.

Feature Selection

Investigating Math Word Problems using Pretrained Multilingual Language Models

no code implementations19 May 2021 Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang

In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective.

Machine Translation

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

no code implementations4 May 2021 Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon

Recent skeleton-based action recognition methods extract features from 3D joint coordinates as spatial-temporal cues, using these representations in a graph neural network for feature fusion to boost recognition performance.

Action Recognition Skeleton Based Action Recognition

Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification

no code implementations CVPR 2021 Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang

Learning discriminative image representations plays a vital role in long-tailed image classification because it can ease the classifier learning in imbalanced cases.

Classification Contrastive Learning +4

Shift-and-Balance Attention

1 code implementation24 Mar 2021 Chunjie Luo, Jianfeng Zhan, Tianshu Hao, Lei Wang, Wanling Gao

The attention branch is gated using the Sigmoid function and multiplied by the feature map's trunk branch.

DeepStyle: User Style Embedding for Authorship Attribution of Short Texts

no code implementations14 Mar 2021 Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai

Authorship attribution (AA), which is the task of finding the owner of a given text, is an important and widely studied research topic with many applications.

Text Classification

Network Representation Learning: From Traditional Feature Learning to Deep Learning

no code implementations7 Mar 2021 Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia

Network representation learning (NRL) is an effective graph analytics technique and promotes users to deeply understand the hidden characteristics of graph data.

Recommendation Systems Representation Learning

Coordinated Cyber-Attack Detection Model of Cyber-Physical Power System Based on the Operating State Data Link

no code implementations27 Feb 2021 Lei Wang, Pengcheng Xu, Zhaoyang Qu, Xiaoyong Bo, Yunchang Dong, Zhenming Zhang, Yang Li

Existing coordinated cyber-attack detection methods have low detection accuracy and efficiency and poor generalization ability due to difficulties dealing with unbalanced attack data samples, high data dimensionality, and noisy data sets.

Cyber Attack Detection

HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking

no code implementations25 Feb 2021 Zihan Jiang, Wanling Gao, Fei Tang, Xingwang Xiong, Lei Wang, Chuanxin Lan, Chunjie Luo, Hongxiao Li, Jianfeng Zhan

Recent years witness a trend of applying large-scale distributed deep learning algorithms (HPC AI) in both business and scientific computing areas, whose goal is to speed up the training time to achieve a state-of-the-art quality.

Image Classification Performance

Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events

no code implementations1 Feb 2021 Xiaoyong Bo, Xiaoyu Chen, Huashun Li, Yunchang Dong, Zhaoyang Qu, Lei Wang, Yang Li

Considering the constraints of the temporal conversion of information flow and energy flow, a microgrid CPS coupling model is established, the effectiveness of which is verified by simulating false data injection attack (FDIA) scenarios.

Decision Making

Unified First-Principles Study of the Anomalous Hall Effect Based on Exact Muffin-Tin Orbitals

no code implementations29 Jan 2021 Lei Wang, Tai Min, Ke Xia

Based on the exact muffin-tin orbitals (EMTOs), we developed a first-principles method to calculate the current operators and investigated the anomalous Hall effect in bcc Fe as an example, with which we successfully separated the skew scattering contribution from the side jump and intrinsic contributions by fitting the scaling law with the introduction of sparse impurities.

Materials Science Mesoscale and Nanoscale Physics

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

no code implementations24 Jan 2021 Tailin Liang, John Glossner, Lei Wang, Shaobo Shi, Xiaotong Zhang

We discuss trade-offs in element-wise, channel-wise, shape-wise, filter-wise, layer-wise and even network-wise pruning.

Quantization

Pretrain-to-Finetune Adversarial Training via Sample-wise Randomized Smoothing

no code implementations1 Jan 2021 Lei Wang, Runtian Zhai, Di He, LiWei Wang, Li Jian

For certification, we carefully allocate specific robust regions for each test sample.

Optimizing Information Bottleneck in Reinforcement Learning: A Stein Variational Approach

no code implementations1 Jan 2021 Pei Yingjun, Hou Xinwen, Li Jian, Lei Wang

We also show that our method achieves better performance than VIB and mutual information neural estimation (MINE), two other popular approaches to optimize the information bottleneck framework in supervised learning.

Tensor Representations for Action Recognition

no code implementations28 Dec 2020 Piotr Koniusz, Lei Wang, Anoop Cherian

In this paper, we propose novel tensor representations for compactly capturing such higher-order relationships between visual features for the task of action recognition.

Action Recognition

The exact factorizations of almost simple groups

no code implementations17 Dec 2020 Cai Heng Li, Lei Wang, Binzhou Xia

This paper presents a classification of exact factorizations of almost simple groups, which have been a long-standing open problem initiated by the work of Wiegold and Williamson in 1980 and significantly progressed by Liebeck, Praeger and Saxl in 2010.

Group Theory

Visual place recognition: A survey from deep learning perspective

1 code implementation28 Nov 2020 Xiwu Zhang, Lei Wang, Yan Su

Visual place recognition has attracted widespread research interest in multiple fields such as computer vision and robotics.

Loop Closure Detection Scene Understanding +3

Decoding PPP Corrections from BDS B2b Signals Using a Software-defined Receiver: an Initial Performance Evaluation

no code implementations27 Nov 2020 Xiangchen Lu, Liang Chen, Nan Shen, Lei Wang, Zhenhang Jiao, Ruizhi Chen

With the rapid development of China's BeiDou Navigation Satellite System(BDS), the application of real-time precise point positioning (RTPPP) based on BDS has become an active research area in the field of Global Navigation Satellite System (GNSS).

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution

no code implementations15 Nov 2020 Bo wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu

Non-local attention and feature learning by multi-scale methods are widely used to model network, which drives progress in medical image segmentation.

Medical Image Segmentation

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease

no code implementations16 Oct 2020 Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang

With the increasing amounts of high-dimensional heterogeneous data to be processed, multi-modality feature selection has become an important research direction in medical image analysis.

Feature Selection General Classification

Supervised Learning with Projected Entangled Pair States

no code implementations12 Sep 2020 Song Cheng, Lei Wang, Pan Zhang

Tensor networks, a model that originated from quantum physics, has been gradually generalized as efficient models in machine learning in recent years.

Tensor Networks

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control

no code implementations20 Aug 2020 Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong

In this paper, we first present CAESAR, which combines HE and SS to build secure large-scale sparse logistic regression model and achieves both efficiency and security.

Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining

no code implementations17 Aug 2020 Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King

The advisor-advisee relationship represents direct knowledge heritage, and such relationship may not be readily available from academic libraries and search engines.

Representation Learning

Tropical Tensor Network for Ground States of Spin Glasses

1 code implementation16 Aug 2020 Jin-Guo Liu, Lei Wang, Pan Zhang

We present a unified exact tensor network approach to compute the ground state energy, identify the optimal configuration, and count the number of solutions for spin glasses.

Statistical Mechanics Quantum Physics Computation

MODEL: Motif-based Deep Feature Learning for Link Prediction

no code implementations9 Aug 2020 Lei Wang, Jing Ren, Bo Xu, Jian-Xin Li, Wei Luo, Feng Xia

Link prediction plays an important role in network analysis and applications.

Link Prediction

Robust Retinal Vessel Segmentation from a Data Augmentation Perspective

1 code implementation31 Jul 2020 Xu Sun, Xingxing Cao, Yehui Yang, Lei Wang, Yanwu Xu

In this paper, we propose two new data augmentation modules, namely, channel-wise random Gamma correction and channel-wise random vessel augmentation.

Data Augmentation Retinal Vessel Segmentation

Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening

no code implementations31 Jul 2020 Dalu Yang, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang, Yanwu Xu

How can we train a classification model on labeled fundus images ac-quired from only one camera brand, yet still achieves good performance on im-ages taken by other brands of cameras?

Classification Domain Adaptation +1

Graph-to-Tree Learning for Solving Math Word Problems

1 code implementation ACL 2020 Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim

While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.

Math Word Problem Solving

Human Activity Recognition based on Dynamic Spatio-Temporal Relations

no code implementations29 Jun 2020 Zhenyu Liu, Yaqiang Yao, Yan Liu, Yuening Zhu, Zhenchao Tao, Lei Wang, Yuhong Feng

In the proposed method, an activity is divided into several successive actions represented by spatio temporal patterns, and the evolution of these actions are captured by a sequential model.

Activity Recognition

SeqXFilter: A Memory-efficient Denoising Filter for Dynamic Vision Sensors

no code implementations2 Jun 2020 Shasha Guo, Lei Wang, Xiaofan Chen, Limeng Zhang, Ziyang Kang, Weixia Xu

We not only give the visual denoising effect of the filter but also use two metrics for quantitatively analyzing the filter's performance.

Denoising

Large-Scale Secure XGB for Vertical Federated Learning

no code implementations18 May 2020 Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang

Privacy-preserving machine learning has drawn increasingly attention recently, especially with kinds of privacy regulations come into force.

Federated Learning

Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks

no code implementations14 May 2020 Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao

To build light-weight network, we propose a new normalization, Fine-grained Batch Normalization (FBN).

Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices

no code implementations7 May 2020 Chunjie Luo, Xiwen He, Jianfeng Zhan, Lei Wang, Wanling Gao, Jiahui Dai

Due to increasing amounts of data and compute resources, deep learning achieves many successes in various domains.

AIBench Scenario: Scenario-distilling AI Benchmarking

no code implementations6 May 2020 Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang

We formalize a real-world application scenario as a Directed Acyclic Graph-based model and propose the rules to distill it into a permutation of essential AI and non-AI tasks, which we call a scenario benchmark.

Continuous matrix product operator approach to finite temperature quantum states

1 code implementation27 Apr 2020 Wei Tang, Hong-Hao Tu, Lei Wang

We present an algorithm for studying quantum systems at finite temperature using continuous matrix product operator representation.

Strongly Correlated Electrons Statistical Mechanics Computational Physics

Class Distribution Alignment for Adversarial Domain Adaptation

no code implementations20 Apr 2020 Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang

To address this issue, we propose a novel approach called Conditional ADversarial Image Translation (CADIT) to explicitly align the class distributions given samples between the two domains.

General Classification Unsupervised Domain Adaptation

Secret Sharing based Secure Regressions with Applications

no code implementations10 Apr 2020 Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang

Nowadays, the utilization of the ever expanding amount of data has made a huge impact on web technologies while also causing various types of security concerns.

A Noise Filter for Dynamic Vision Sensors using Self-adjusting Threshold

no code implementations8 Apr 2020 Shasha Guo, Ziyang Kang, Lei Wang, Limeng Zhang, Xiaofan Chen, Shiming Li, Weixia Xu

Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers.

Emerging Technologies Signal Processing

A Neural Architecture Search based Framework for Liquid State Machine Design

no code implementations7 Apr 2020 Shuo Tian, Lianhua Qu, Kai Hu, Nan Li, Lei Wang, Weixia Xu

By exploring the design space in network architectures and parameters, recent works have demonstrated great potential for improving the accuracy of LSM model with low complexity.

Neural Architecture Search

Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines

no code implementations6 Apr 2020 Shasha Guo, Lianhua Qu, Lei Wang, Shuo Tian, Shiming Li, Weixia Xu

To mitigate the difficulty in effectively dealing with huge input spaces of LSM, and to find that whether input reduction can enhance LSM performance, we explore several input patterns, namely fullscale, scanline, chessboard, and patch.

Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game

no code implementations15 Mar 2020 Lei Wang, Wenbin Huang, Yuanpeng Li, Julian Evans, Sailing He

We model and predict human competition behavior by combining many Markov Models with different fixed memory lengths (abbreviated as "multi-AI"), and develop an architecture of multi-AI with changeable parameters to adapt to different competition strategies.

Decision Making

Extended Batch Normalization

no code implementations12 Mar 2020 Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao

To alleviate the problem caused by small batch size, extended batch normalization computes the standard deviation along the (N, C, H, W) dimensions, thus enlarges the number of samples from which the standard deviation is computed.

Image Classification

Industrial Scale Privacy Preserving Deep Neural Network

no code implementations11 Mar 2020 Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang

Deep Neural Network (DNN) has been showing great potential in kinds of real-world applications such as fraud detection and distress prediction.

Fraud Detection

Exploration of Surgeons' Natural Skills for Robotic Catheterization

no code implementations6 Mar 2020 Olatunji Mumini Omisore, Wenjing Du, Tao Zhou, Shipeng Han, Kamen Ivanov, Yousef Al-Handarish, Lei Wang

Despite having the robotic catheter systems which have recently emerged as safe way of performing cardiovascular interventions, a number of important challenges are yet to be investigated.

Asymmetric Distribution Measure for Few-shot Learning

no code implementations1 Feb 2020 Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo

Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning.

Few-Shot Image Classification

Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors

no code implementations14 Jan 2020 Lei Wang, Piotr Koniusz

In this paper, we build on a concept of self-supervision by taking RGB frames as input to learn to predict both action concepts and auxiliary descriptors e. g., object descriptors.

Action Recognition Optical Flow Estimation

Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits

1 code implementation24 Dec 2019 Jin-Guo Liu, Liang Mao, Pan Zhang, Lei Wang

We extend the ability of unitary quantum circuits by interfacing it with classical autoregressive neural networks.

Quantum Physics

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design

1 code implementation23 Dec 2019 Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang

We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design.

Quantum Physics Strongly Correlated Electrons Computational Physics

ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard

no code implementations20 Dec 2019 Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar

21 teams submit results for Task 1, 23 teams submit results for Task 2, 24 teams submit results for Task 3, and 13 teams submit results for Task 4.

Scene Text

Application of Word2vec in Phoneme Recognition

1 code implementation17 Dec 2019 Xin Feng, Lei Wang

At the same time, in order to solve the problem of overfitting in the 61 phoneme recognition model on TIMIT dataset, we propose a new training method.

End-To-End Speech Recognition Speech Recognition

BenchCouncil's View on Benchmarking AI and Other Emerging Workloads

no code implementations2 Dec 2019 Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren

This paper outlines BenchCouncil's view on the challenges, rules, and vision of benchmarking modern workloads like Big Data, AI or machine learning, and Internet Services.

Differentiable Meta-learning Model for Few-shot Semantic Segmentation

no code implementations23 Nov 2019 Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao

To address the annotation scarcity issue in some cases of semantic segmentation, there have been a few attempts to develop the segmentation model in the few-shot learning paradigm.

Few-Shot Semantic Segmentation Semantic Segmentation

Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge

1 code implementation21 Nov 2019 Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang

Furthermore, the Gaussian probability distribution can effectively improve the extraction performance of sentences with overlapping relations in biomedical relation extraction tasks.

Drug Discovery Relation Extraction

Deep Learning based HEp-2 Image Classification: A Comprehensive Review

no code implementations20 Nov 2019 Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou

This paper provides a comprehensive review of the existing deep learning based HEp-2 cell image classification methods.

Classification General Classification +1

Defensive Few-shot Adversarial Learning

no code implementations16 Nov 2019 Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo

In this paper, instead of assuming such a distribution consistency, we propose to make this assumption at a task-level in the episodic training paradigm in order to better transfer the defense knowledge.

Adversarial Defense Few-Shot Learning

End-to-end speech enhancement based on discrete cosine transform

3 code implementations IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 Chuang Geng, Lei Wang

Previous speech enhancement methods focus on estimating the short-time spectrum of speech signals due to its short-term stability.

Sound Audio and Speech Processing

Neural Canonical Transformation with Symplectic Flows

1 code implementation30 Sep 2019 Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang, Lei Wang

We construct flexible and powerful canonical transformations as generative models using symplectic neural networks.

Density Estimation

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas

1 code implementation27 Sep 2019 Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, DaCheng Tao, Edwin Hancock

To address these problems, we propose a generic inpainting framework capable of handling with incomplete images on both continuous and discontinuous large missing areas, in an adversarial manner.

Image Inpainting

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image

no code implementations26 Sep 2019 Qingbo Wu, Lei Wang, King N. Ngan, Hongliang Li, Fanman Meng, Linfeng Xu

Then, a subjective study is conducted on our DQA database, which collects the subject-rated scores of all de-rained images.

Blind Image Quality Assessment Rain Removal

Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery

no code implementations21 Aug 2019 Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zheng-Jun Zha, Meng Wang

Specifically, AS-LRC performs the latent decomposition of given data into a low-rank reconstruction by a block-diagonal codes matrix, a group sparse locality-adaptive salient feature part and a sparse error part.

Representation Learning

Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification

no code implementations15 Aug 2019 Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao

In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) labels.

Semi-Supervised Person Re-Identification

GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification

no code implementations14 Aug 2019 Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao

Moreover, in the training process, we adopt the joint learning scheme to simultaneously train each branch by the independent loss function, which can enhance the generalization ability of each branch.

Person Re-Identification

AIBench: An Industry Standard Internet Service AI Benchmark Suite

no code implementations13 Aug 2019 Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye

On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.

Learning-To-Rank

Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking

no code implementations6 Aug 2019 Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan

In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues.

Performance Distributed, Parallel, and Cluster Computing

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification

no code implementations2 Aug 2019 Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao

To achieve the camera alignment, we develop a Multi-Camera Adversarial Learning (MCAL) to map images of different cameras into a shared subspace.

Person Re-Identification

HPC AI500: A Benchmark Suite for HPC AI Systems

no code implementations27 Jul 2019 Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan

In this paper, we propose HPC AI500 --- a benchmark suite for evaluating HPC systems that running scientific DL workloads.

NPSA: Nonorthogonal Principal Skewness Analysis

no code implementations23 Jul 2019 Xiurui Geng, Lei Wang

Principal skewness analysis (PSA) has been introduced for feature extraction in hyperspectral imagery.

Tracking system of Mine Patrol Robot for Low Illumination Environment

no code implementations3 Jul 2019 Shaoze You, Hua Zhu, Menggang Li, Lei Wang, Chaoquan Tang

The experimental results show that the novel tracker performance in low-illumination environment is better than that of general trackers.

Object Tracking

Loss Switching Fusion with Similarity Search for Video Classification

no code implementations27 Jun 2019 Lei Wang, Du. Q. Huynh, Moussa Reda Mansour

We define our classification problem as classifying background and foreground motions using the same feature representation for outdoor scenes.

Classification General Classification +2

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs

no code implementations ICCV 2019 Lei Wang, Piotr Koniusz, Du. Q. Huynh

Thus, we propose an end-to-end trainable network with streams which learn the IDT-based BoW/FV representations at the training stage and are simple to integrate with the I3D model.

Ranked #5 on Action Recognition on HMDB-51 (using extra training data)

Action Classification Action Recognition +1

A Semantic-based Medical Image Fusion Approach

no code implementations1 Jun 2019 Fanda Fan, Yunyou Huang, Lei Wang, Xingwang Xiong, Zihan Jiang, Zhifei Zhang, Jianfeng Zhan

Medical image fusion is a promising approach to providing overall information from medical images of different modalities.

Graph Attention Convolution for Point Cloud Semantic Segmentation

no code implementations CVPR 2019 Lei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan

It neglects the structure of an object, results in poor object delineation and small spurious regions in the segmentation result.

Graph Attention

Monge-Amp\`ere Flow for Generative Modeling

no code implementations ICLR 2019 Linfeng Zhang, Weinan E, Lei Wang

We present a deep generative model, named Monge-Amp\`ere flow, which builds on continuous-time gradient flow arising from the Monge-Amp\`ere equation in optimal transport theory.

Density Estimation

An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

1 code implementation Bioinformatics 2019 Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang

Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction.

Document-level Feature Engineering +2

A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification

no code implementations ICCV 2019 Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao

For the first issue, we highlight the presence of camera-level sub-domains as a unique characteristic of person Re-ID, and develop camera-aware domain adaptation to reduce the discrepancy not only between source and target domains but also across these sub-domains.

Person Re-Identification Representation Learning +1

Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

1 code implementation CVPR 2019 Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo

Its key difference from the literature is the replacement of the image-level feature based measure in the final layer by a local descriptor based image-to-class measure.

Few-Shot Image Classification General Classification

Differentiable Programming Tensor Networks

3 code implementations22 Mar 2019 Hai-Jun Liao, Jin-Guo Liu, Lei Wang, Tao Xiang

Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and trains them using automatic differentiation (AD).

Strongly Correlated Electrons Quantum Physics

Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval

no code implementations6 Mar 2019 Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu

In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval.

Cross-Modal Retrieval

Variational Quantum Eigensolver with Fewer Qubits

6 code implementations7 Feb 2019 Jin-Guo Liu, Yi-Hong Zhang, Yuan Wan, Lei Wang

One can obtain a matrix product state (MPS) representation of the ground state using a number of qubits smaller than the physical degrees of freedom.

Quantum Physics Strongly Correlated Electrons

A kernel-independent treecode based on barycentric Lagrange interpolation

1 code implementation6 Feb 2019 Lei Wang, Robert Krasny, Svetlana Tlupova

A kernel-independent treecode (KITC) is presented for fast summation of pairwise particle interactions.

Numerical Analysis

Tree Tensor Networks for Generative Modeling

no code implementations8 Jan 2019 Song Cheng, Lei Wang, Tao Xiang, Pan Zhang

Matrix product states (MPS), a tensor network designed for one-dimensional quantum systems, has been recently proposed for generative modeling of natural data (such as images) in terms of `Born machine'.

Tensor Networks

Dynamic Runtime Feature Map Pruning

1 code implementation24 Dec 2018 Tailin Liang, Lei Wang, Shaobo Shi, John Glossner

Of the networks considered, those using ReLU (AlexNet, SqueezeNet, VGG16) contain a high percentage of 0-valued parameters and can be statically pruned.

Wider Channel Attention Network for Remote Sensing Image Super-resolution

no code implementations13 Dec 2018 Jun Gu, Guangluan Xu, Yue Zhang, Xian Sun, Ran Wen, Lei Wang

In this letter, we propose a novel single-image super-resolution (SISR) algorithm named Wider Channel Attention Network (WCAN) for remote sensing images.

Image Super-Resolution

A Treecode Algorithm for 3D Stokeslets and Stresslets

1 code implementation29 Nov 2018 Lei Wang, Svetlana Tlupova, Robert Krasny

Evaluating the velocity induced by a collection of Stokeslets and stresslets by direct summation requires $O(N^2)$ operations, where $N$ is the system size.

Numerical Analysis

Translating a Math Word Problem to an Expression Tree

1 code implementation14 Nov 2018 Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu

Moreover, we analyze the performance of three popular SEQ2SEQ models on the math word problem solving.

Math Word Problem Solving

Performance assessment of the deep learning technologies in grading glaucoma severity

no code implementations31 Oct 2018 Yi Zhen, Lei Wang, Han Liu, Jian Zhang, Jiantao Pu

Among these CNNs, the DenseNet had the highest classification accuracy (i. e., 75. 50%) based on pre-trained weights when using global ROIs, as compared to 65. 50% when using local ROIs.

SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images

no code implementations30 Oct 2018 Han Liu, Lei Wang, Yandong Nan, Faguang Jin, Qi. Wang, Jiantao Pu

Two CNN-based classification models were then used as feature extractors to obtain the discriminative features of the entire CXR images and the cropped lung region images.

General Classification Thoracic Disease Classification

Solving Statistical Mechanics Using Variational Autoregressive Networks

2 code implementations27 Sep 2018 Dian Wu, Lei Wang, Pan Zhang

We propose a general framework for solving statistical mechanics of systems with finite size.

Monge-Ampère Flow for Generative Modeling

1 code implementation26 Sep 2018 Linfeng Zhang, Weinan E, Lei Wang

We present a deep generative model, named Monge-Amp\`ere flow, which builds on continuous-time gradient flow arising from the Monge-Amp\`ere equation in optimal transport theory.

Density Estimation

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

no code implementations22 Aug 2018 Dongxiang Zhang, Lei Wang, Luming Zhang, Bing Tian Dai, Heng Tao Shen

Solving mathematical word problems (MWPs) automatically is challenging, primarily due to the semantic gap between human-readable words and machine-understandable logics.

Semantic Parsing

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

no code implementations10 Aug 2018 Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman

We present a method for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffeomorphisms as a kernel in a machine learning context.

General Classification Image Registration

Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings

no code implementations COLING 2018 Chenggang Mi, Yating Yang, Lei Wang, Xi Zhou, Tonghai Jiang

Neural machine translation models integrating results of loanword identification experiments achieve the best results on OOV translation(with 0. 5-0. 9 BLEU improvements)

Language Modelling Machine Translation +1

A Simple and Space Efficient Segment Tree Implementation

no code implementations14 Jul 2018 Lei Wang, Xiaodong Wang

The segment tree is an extremely versatile data structure.

Data Structures and Algorithms

Online Progressive Deep Metric Learning

1 code implementation15 May 2018 Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo

Furthermore, in a progressively and nonlinearly learning way, ODML has a stronger learning ability than traditional shallow online metric learning in the case of limited available training data.

Metric Learning

Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks

no code implementations22 Apr 2018 Fusheng Hao, Jun Cheng, Lei Wang, Xinchao Wang, Jianzhong Cao, Xiping Hu, Dapeng Tao

Discriminative features are obtained by constraining the deep CNNs to map training samples to the corresponding anchors as close as possible.

Image Classification

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification

no code implementations11 Apr 2018 Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao

Lastly, considering person retrieval is a special image retrieval task, we propose a novel ranking loss to optimize the whole network.

Image Retrieval Person Re-Identification +1

Differentiable Learning of Quantum Circuit Born Machine

4 code implementations11 Apr 2018 Jin-Guo Liu, Lei Wang

However, similar to the leading implicit generative models in deep learning, such as the generative adversarial networks, the quantum circuits cannot provide the likelihood of the generated samples, which poses a challenge to the training.

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

no code implementations23 Feb 2018 Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Xu Wen, Rui Ren, Chen Zheng, Xiwen He, Hainan Ye, Haoning Tang, Zheng Cao, Shujie Zhang, Jiahui Dai

On the basis of our previous work that identifies eight data motifs taking up most of the run time of a wide variety of big data and AI workloads, we propose a scalable benchmarking methodology that uses the combination of one or more data motifs---to represent diversity of big data and AI workloads.

Understanding Membership Inferences on Well-Generalized Learning Models

1 code implementation13 Feb 2018 Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiao-Feng Wang, Haixu Tang, Carl A. Gunter, Kai Chen

Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model.

Inference Attack Membership Inference Attack

Neural Network Renormalization Group

2 code implementations8 Feb 2018 Shuo-Hui Li, Lei Wang

We present a variational renormalization group (RG) approach using a deep generative model based on normalizing flows.

Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

no code implementations12 Dec 2017 Song Cheng, Jing Chen, Lei Wang

We compare and contrast the statistical physics and quantum physics inspired approaches for unsupervised generative modeling of classical data.

Scalable Quantum Tomography with Fidelity Estimation

1 code implementation8 Dec 2017 Jun Wang, Zhao-Yu Han, Song-Bo Wang, Zeyang Li, Liang-Zhu Mu, Heng Fan, Lei Wang

We propose a quantum tomography scheme for pure qudit systems which adopts random base measurements and generative learning methods, along with a built-in fidelity estimation approach to assess the reliability of the tomographic states.

Quantum Physics

DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition

no code implementations ECCV 2018 Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu

Being symmetric positive-definite (SPD), covariance matrix has traditionally been used to represent a set of local descriptors in visual recognition.

Fine-Grained Image Recognition

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

no code implementations2 Nov 2017 Karteek Popuri, Rakesh Balachandar, Kathryn Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg, the Alzhemier's Disease Neuroimaging Initiative

Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging based 3D topographic brain glucose metabolism patterns from normal controls (NC) and individuals with dementia of Alzheimer's type (DAT) are used to train a novel multi-scale ensemble classification model.

General Classification

Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems

no code implementations25 Oct 2017 Jiechao Cheng, Rui Ren, Lei Wang, Jianfeng Zhan

The increasing popularity of server usage has brought a plenty of anomaly log events, which have threatened a vast collection of machines.

Classification General Classification

When Traffic Flow Prediction Meets Wireless Big Data Analytics

no code implementations23 Sep 2017 Yuanfang Chen, Mohsen Guizani, Yan Zhang, Lei Wang, Noel Crespi, Gyu Myoung Lee

Traffic congestion is one of the most serious problems in a city, which can be predicted in advance by analyzing traffic flow patterns.

Time Series Time Series Prediction

Unsupervised Generative Modeling Using Matrix Product States

1 code implementation6 Sep 2017 Zhao-Yu Han, Jun Wang, Heng Fan, Lei Wang, Pan Zhang

Generative modeling, which learns joint probability distribution from data and generates samples according to it, is an important task in machine learning and artificial intelligence.

Log-linear Models for Uyghur Segmentation in Spoken Language Translation

no code implementations RANLP 2017 Chenggang Mi, Yating Yang, Rui Dong, Xi Zhou, Lei Wang, Xiao Li, Tonghai Jiang

To alleviate data sparsity in spoken Uyghur machine translation, we proposed a log-linear based morphological segmentation approach.

Machine Translation Word Alignment

Revisiting Metric Learning for SPD Matrix Based Visual Representation

no code implementations CVPR 2017 Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao

The proposed method has been tested on multiple SPD-based visual representation data sets used in the literature, and the results demonstrate its interesting properties and attractive performance.

Metric Learning

Training Triplet Networks with GAN

5 code implementations6 Apr 2017 Maciej Zieba, Lei Wang

Triplet networks are widely used models that are characterized by good performance in classification and retrieval tasks.

Classification General Classification +1

X-ray Astronomical Point Sources Recognition Using Granular Binary-tree SVM

no code implementations7 Mar 2017 Zhixian Ma, Weitian Li, Lei Wang, Haiguang Xu, Jie Zhu

An approach to recognize the point sources (PS) in the X-ray astronomical images using our newly designed granular binary-tree support vector machine (GBT-SVM) classifier is proposed.

Can Boltzmann Machines Discover Cluster Updates ?

no code implementations28 Feb 2017 Lei Wang

Boltzmann machines are physics informed generative models with wide applications in machine learning.

Recommendation Systems

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

1 code implementation20 Feb 2017 Chunjie Luo, Jianfeng Zhan, Lei Wang, Qiang Yang

We compare cosine normalization with batch, weight and layer normalization in fully-connected neural networks as well as convolutional networks on the data sets of MNIST, 20NEWS GROUP, CIFAR-10/100 and SVHN.

Equivalence of restricted Boltzmann machines and tensor network states

1 code implementation17 Jan 2017 Jing Chen, Song Cheng, Haidong Xie, Lei Wang, Tao Xiang

Conversely, we give sufficient and necessary conditions to determine whether a TNS can be transformed into an RBM of given architectures.

Recommendation Systems

Recommender Engine for Continuous Time Quantum Monte Carlo Methods

no code implementations6 Dec 2016 Li Huang, Yi-feng Yang, Lei Wang

Exploiting the quantum to classical mapping inherent in the continuous-time quantum Monte Carlo methods, we construct a classical molecular gas model to reproduce the quantum distributions.

Recommendation Systems

Exploiting Structure Sparsity for Covariance-based Visual Representation

no code implementations27 Oct 2016 Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li

A variety of methods have been proposed to boost its efficacy, with some recent ones resorting to nonlinear kernel technique.

Action Recognition

Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines

no code implementations10 Oct 2016 Li Huang, Lei Wang

Despite their exceptional flexibility and popularity, the Monte Carlo methods often suffer from slow mixing times for challenging statistical physics problems.

OPML: A One-Pass Closed-Form Solution for Online Metric Learning

no code implementations29 Sep 2016 Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi

To achieve a low computational cost when performing online metric learning for large-scale data, we present a one-pass closed-form solution namely OPML in this paper.

Event Detection Face Verification +1

Discovering Phase Transitions with Unsupervised Learning

no code implementations1 Jun 2016 Lei Wang

Unsupervised learning is a discipline of machine learning which aims at discovering patterns in big data sets or classifying the data into several categories without being trained explicitly.

Compositional Model based Fisher Vector Coding for Image Classification

no code implementations16 Jan 2016 Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton Van Den Hengel, Chao Wang, Heng Tao Shen

To handle this limitation, in this paper we break the convention which assumes that a local feature is drawn from one of few Gaussian distributions.

Classification General Classification +1

Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices

no code implementations ICCV 2015 Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li

It proposes an open framework to use the kernel matrix over feature dimensions as a generic representation and discusses its properties and advantages.

Action Recognition

Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data

no code implementations23 Jun 2015 Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

This brings two general discriminative learning frameworks for Gaussian Bayesian networks (GBN).

Parallel Spectral Clustering Algorithm Based on Hadoop

no code implementations31 May 2015 Yajun Cui, Yang Zhao, Kafei Xiao, Chenglong Zhang, Lei Wang

Spectral clustering and cloud computing is emerging branch of computer science or related discipline.

Boosting-like Deep Learning For Pedestrian Detection

no code implementations26 May 2015 Lei Wang, Baochang Zhang

This paper proposes boosting-like deep learning (BDL) framework for pedestrian detection.

Pedestrian Detection

HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

no code implementations10 Apr 2015 Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang

Efficient Human Epithelial-2 (HEp-2) cell image classification can facilitate the diagnosis of many autoimmune diseases.

Classification Data Augmentation +2

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors

no code implementations NeurIPS 2014 Lingqiao Liu, Chunhua Shen, Lei Wang, Anton Van Den Hengel, Chao Wang

By calculating the gradient vector of the proposed model, we derive a new fisher vector encoding strategy, termed Sparse Coding based Fisher Vector Coding (SCFVC).

Fine-Grained Image Classification General Classification +1

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications

1 code implementation8 Jul 2014 Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li

A comprehensive experimental study is conducted on a variety of image classification tasks to compare our proposed discriminative Stein kernel with the original Stein kernel and other commonly used methods for evaluating the similarity between SPD matrices.

Classification General Classification +1

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification

no code implementations CVPR 2014 Luping Zhou, Lei Wang, Philip Ogunbona

In this paper, we propose a learning framework to effectively improve the discriminative power of SICEs by taking advantage of the samples in the opposite class.

Classification General Classification

A Generalized Probabilistic Framework for Compact Codebook Creation

no code implementations30 Jan 2014 Lingqiao Liu, Lei Wang, Chunhua Shen

In the third criterion, which shows the best merging performance, we propose a max-margin-based parameter estimation method and apply it with multinomial distribution.

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network

no code implementations CVPR 2013 Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

Analyzing brain networks from neuroimages is becoming a promising approach in identifying novel connectivitybased biomarkers for the Alzheimer's disease (AD).

A Fast Approximate AIB Algorithm for Distributional Word Clustering

no code implementations CVPR 2013 Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li

Distributional word clustering merges the words having similar probability distributions to attain reliable parameter estimation, compact classification models and even better classification performance.

Classification General Classification +2

Feature Selection via Sparse Approximation for Face Recognition

no code implementations14 Feb 2011 Yixiong Liang, Lei Wang, Yao Xiang, Beiji Zou

Inspired by biological vision systems, the over-complete local features with huge cardinality are increasingly used for face recognition during the last decades.

Face Recognition Feature Selection

Positive Semidefinite Metric Learning with Boosting

no code implementations NeurIPS 2009 Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel

In this work, we propose a boosting-based technique, termed BoostMetric, for learning a Mahalanobis distance metric.

General Classification Metric Learning