Search Results for author: Hui Li

Found 110 papers, 36 papers with code

Image Super-Resolution using Efficient Striped Window Transformer

1 code implementation24 Jan 2023 Jinpeng Shi, Hui Li, Tianle Liu, Yulong Liu, Mingjian Zhang, Jinchen Zhu, Ling Zheng, Shizhuang Weng

To further exploit the potential of the transformer, we propose a novel flexible window training strategy.

Image Super-Resolution

In-situ monitoring additive manufacturing process with AI edge computing

no code implementations2 Jan 2023 Wenkang Zhu, Hui Li, Yikai Zhang, Yuqing Hou, Liwei Chen

Inference time of ViTSR and FCN was optimized to 50. 97 ms and 67. 86 ms on AI edge board after operator fusion and model pruning.

Edge-computing Video Super-Resolution

NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

no code implementations1 Jan 2023 Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian

Deploying reliable deep learning techniques in interdisciplinary applications needs learned models to output accurate and ({even more importantly}) explainable predictions.

Galaxy Image Classification using Hierarchical Data Learning with Weighted Sampling and Label Smoothing

1 code implementation20 Dec 2022 Xiaohua Ma, Xiangru Li, Ali Luo, Jinqu Zhang, Hui Li

With the development of a series of Galaxy sky surveys in recent years, the observations increased rapidly, which makes the research of machine learning methods for galaxy image recognition a hot topic.

Image Classification

Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning

no code implementations17 Dec 2022 Hui Li, MingJie Sun, Jimin Xiao, Eng Gee Lim, Yao Zhao

To validate our framework on a weakly-supervised setting, we annotated three RES benchmark datasets (RefCOCO, RefCOCO+ and RefCOCOg) with click annotations. Our method is simple but surprisingly effective, outperforming all previous state-of-the-art RES methods on fully- and weakly-supervised settings by a large margin.

Referring Expression Referring Expression Segmentation +1

Self-supervised Graph Representation Learning for Black Market Account Detection

no code implementations6 Dec 2022 Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji

This paper illustrates our BMA detection system SGRL (Self-supervised Graph Representation Learning) used in WeChat, a representative MMMA with over a billion users.

Graph Representation Learning Self-Supervised Learning

xTrimoABFold: De novo Antibody Structure Prediction without MSA

no code implementations30 Nov 2022 Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song

Its improvement in both accuracy and efficiency makes it a valuable tool for de novo antibody design and could make further improvements in immuno-theory.

Language Modelling

MLRIP: Pre-training a military language representation model with informative factual knowledge and professional knowledge base

no code implementations28 Jul 2022 Hui Li, Xuekang Yang, Xin Zhao, Lin Yu, Jiping Zheng, Wei Sun

Incorporating prior knowledge into pre-trained language models has proven to be effective for knowledge-driven NLP tasks, such as entity typing and relation extraction.

Entity Typing Relation Extraction

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative

1 code implementation28 Jul 2022 Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song

Our proposed method, HelixFold-Single, first pre-trains a large-scale protein language model (PLM) with thousands of millions of primary sequences utilizing the self-supervised learning paradigm, which will be used as an alternative to MSAs for learning the co-evolution information.

Language Modelling Protein Structure Prediction +1

A Medical Image Fusion Method based on MDLatLRRv2

no code implementations30 Jun 2022 Xu Song, Xiao-Jun Wu, Hui Li

Since MDLatLRR only considers detailed parts (salient features) of input images extracted by latent low-rank representation (LatLRR), it doesn't use base parts (principal features) extracted by LatLRR effectively.

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

2 code implementations23 Jun 2022 Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li

Leg-UP learns user behavior patterns from real users in the sampled ``templates'' and constructs fake user profiles.

Recommendation Systems

FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs

1 code implementation17 Jun 2022 Hui Li, Zihao Li, Rui Ma, Tieru Wu

In this paper, we propose a novel CAM weighting scheme, named FD-CAM, to improve both the faithfulness and discriminability of the CAM-based CNN visual explanation.

SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images

1 code implementation25 Apr 2022 Zhishe Wang, Yanlin Chen, Wenyu Shao, Hui Li, Lei Zhang

The existing deep learning fusion methods mainly concentrate on the convolutional neural networks, and few attempts are made with transformer.

Pushing the Performance Limit of Scene Text Recognizer without Human Annotation

1 code implementation CVPR 2022 Caiyuan Zheng, Hui Li, Seon-Min Rhee, Seungju Han, Jae-Joon Han, Peng Wang

A robust consistency regularization based semi-supervised framework is proposed for STR, which can effectively solve the instability issue due to domain inconsistency between synthetic and real images.

Scene Text Recognition

Discovering Governing Equations by Machine Learning implemented with Invariance

no code implementations29 Mar 2022 Chao Chen, Xiaowei Jin, Hui Li

The partial differential equation (PDE) plays a significantly important role in many fields of science and engineering.

BIG-bench Machine Learning

Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion

no code implementations5 Mar 2022 Jin Liang, Anran Zhang, Jun Xu, Hui Li, XianTong Zhen

The Single-Exposure Correction (SEC) and Multi-Exposure Fusion (MEF) are two widely studied image processing tasks for image exposure enhancement.

Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking

1 code implementation21 Jan 2022 Zhangyong Tang, Tianyang Xu, Hui Li, Xiao-Jun Wu, XueFeng Zhu, Josef Kittler

The effectiveness of the proposed decision-level fusion strategy owes to a number of innovative contributions, including a dynamic weighting of the RGB and TIR contributions and a linear template update operation.

Visual Object Tracking

Res2NetFuse: A Fusion Method for Infrared and Visible Images

no code implementations29 Dec 2021 Xu Song, Xiao-Jun Wu, Hui Li, Jun Sun, Vasile Palade

The Res2Net-based encoder is used to extract multi-scale features of source images, the paper introducing a new training strategy for training a Res2Net-based encoder that uses only a single image.

Enhanced countering adversarial attacks via input denoising and feature restoring

1 code implementation19 Nov 2021 Yanni Li, Wenhui Zhang, Jiawei Liu, Xiaoli Kou, Hui Li, Jiangtao Cui

Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/samples (AEs) with imperceptible perturbations in clean/original samples.

Adversarial Attack Denoising

A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy

no code implementations27 Oct 2021 Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li

For performance assessment, the proposed algorithm is compared with existing four state-of-the-art multiobjective evolutionary algorithms on benchmark test problems with various types of Pareto optimal fronts.

Multiobjective Optimization

A Novel Solution for Uu Interface Based C-V2X

no code implementations13 Sep 2021 Hui Li

C-V2X includes two solutions: Uu interface based C-V2X and PC5 interface based C-V2X.

Unsupervised Local Discrimination for Medical Images

1 code implementation21 Aug 2021 Huai Chen, Renzhen Wang, Xiuying Wang, Jieyu Li, Qu Fang, Hui Li, Jianhao Bai, Qing Peng, Deyu Meng, Lisheng Wang

To address this challenge, in this paper, we propose a general unsupervised representation learning framework, named local discrimination (LD), to learn local discriminative features for medical images by closely embedding semantically similar pixels and identifying regions of similar structures across different images.

Contrastive Learning Lesion Segmentation +1

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration

no code implementations13 Jul 2021 Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau

A progressive texture blending module is designed to blend the encoded two-stream features in a multi-scale and progressive manner.

Association Image Restoration

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing

no code implementations3 Jul 2021 Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi

Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as computer vision, natural language processing, etc.

Management Product Recommendation

MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction

no code implementations24 Jun 2021 Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li

Through key-value matching based on relevancy evaluation, the proposed MatchVIE can bypass the recognitions to various semantics, and simply focuses on the strong relevancy between entities.

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

no code implementations17 May 2021 Lu Wang, xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang

Secondly, on top of the proposed graph transformer, we introduce a two-stream encoder that separately extracts representations from temporal neighborhoods associated with the two interaction nodes and then utilizes a co-attentional transformer to model inter-dependencies at a semantic level.

Contrastive Learning Graph Learning +2

Towards an efficient framework for Data Extraction from Chart Images

no code implementations5 May 2021 Weihong Ma, Hesuo Zhang, Shuang Yan, Guangshun Yao, Yichao Huang, Hui Li, Yaqiang Wu, Lianwen Jin

For building a robust point detector, a fully convolutional network with feature fusion module is adopted, which can distinguish close points compared to traditional methods.

Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning

1 code implementation5 Apr 2021 Haoran Wei, Qingbo Wu, Hui Li, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu

In this paper, we propose a Non-Homogeneous Haze Removal Network (NHRN) via artificial scene prior and bidimensional graph reasoning.

Image Dehazing Single Image Dehazing

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs

no code implementations17 Mar 2021 Yanlin Wang, Hui Li

Code completion has become an essential component of integrated development environments.

Code Completion Graph Attention +2

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

1 code implementation14 Mar 2021 Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu

In this paper, we present the Block-wise Abstract Syntax Tree Splitting method (BASTS for short), which fully utilizes the rich tree-form syntax structure in ASTs, for improving code summarization.

Code Summarization Source Code Summarization

RFN-Nest: An end-to-end residual fusion network for infrared and visible images

1 code implementation7 Mar 2021 Hui Li, Xiao-Jun Wu, Josef Kittler

The most difficult part of the design is to choose an appropriate strategy to generate the fused image for a specific task in hand.

Infrared And Visible Image Fusion

A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds

no code implementations1 Mar 2021 Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang

Rapid, accurate and robust detection of looming objects in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform collision detection and avoidance tasks.

Decision Making

A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds

no code implementations1 Mar 2021 Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang

Robust and accurate detection of small moving targets in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform search and tracking tasks.

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

no code implementations13 Feb 2021 Si Chen, Yuqiu Qian, Hui Li, Chen Lin

We leverage Graph Neural Network and multi-task learning to design M$^3$Rec in order to model the complex information in the heterogeneous sequential recommendation scenario of Tencent Games.

Multi-Task Learning Sequential Recommendation

Self Sparse Generative Adversarial Networks

no code implementations26 Jan 2021 Wenliang Qian, Yang Xu, WangMeng Zuo, Hui Li

In this work, we propose a Self Sparse Generative Adversarial Network (Self-Sparse GAN) that reduces the parameter space and alleviates the zero gradient problem.

Image Generation

To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

no code implementations22 Dec 2020 Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han

Recent advances in machine learning, wireless communication, and mobile hardware technologies promisingly enable federated learning (FL) over massive mobile edge devices, which opens new horizons for numerous intelligent mobile applications.

Federated Learning

Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack

no code implementations1 Nov 2020 Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li

In MDP, we first propose a novel real-time model extraction status assessment scheme called Monitor to evaluate the situation of the model.

Model extraction

Deep Learning is Singular, and That's Good

1 code implementation22 Oct 2020 Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella

In singular models, the optimal set of parameters forms an analytic set with singularities and classical statistical inference cannot be applied to such models.

Learning Theory

A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly

no code implementations15 Oct 2020 Jieliang Luo, Hui Li

In this work we propose a learning approach to high-precision robotic assembly problems.

OpenAI Gym

Transportation Internet: Concepts, Models, and Architectures

no code implementations14 Oct 2020 Hui Li

Disruptive changes in vehicles and transportation have been triggered by automated, connected, electrified and shared mobility.

Autonomous Vehicles

Fast and Secure Distributed Nonnegative Matrix Factorization

1 code implementation7 Sep 2020 Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis

Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks.

Single Cell Transcriptome Research in Human Placenta

no code implementations7 Aug 2020 Hui Li, Qianhui Huang, Yu Liu, Lana X Garmire

Human placenta is a complex and heterogeneous organ interfacing between the mother and the fetus that supports fetal development.

NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models

1 code implementation1 Jul 2020 Hui Li, Xiao-Jun Wu, Tariq Durrani

In our proposed fusion strategy, spatial attention models and channel attention models are developed that describe the importance of each spatial position and of each channel with deep features.

Infrared And Visible Image Fusion

Outlier Detection Using a Novel method: Quantum Clustering

no code implementations8 Jun 2020 Ding Liu, Hui Li

This approach, called Quantum Clustering (QC), deals with unlabeled data processing and constructs a potential function to find the centroids of clusters and the outliers.

Outlier Detection

A Robust Attentional Framework for License Plate Recognition in the Wild

no code implementations6 Jun 2020 Linjiang Zhang, Peng Wang, Hui Li, Zhen Li, Chunhua Shen, Yanning Zhang

On the other hand, the 2D attentional based license plate recognizer with an Xception-based CNN encoder is capable of recognizing license plates with different patterns under various scenarios accurately and robustly.

Image Generation License Plate Recognition

Structured Multimodal Attentions for TextVQA

2 code implementations1 Jun 2020 Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton Van Den Hengel, Qi Wu

In this paper, we propose an end-to-end structured multimodal attention (SMA) neural network to mainly solve the first two issues above.

Graph Attention Optical Character Recognition +3

Quantifying socioeconomic activities and weather effects on the global spread of COVID-19 epidemic

1 code implementation20 May 2020 Xinyi Shen, Chenkai Cai, Hui Li

We finally estimate the reduced reproductive number and the population spared from infections due to restricting SA at 40, 964, 180, 336, 174, 494, in China, United States, and Europe respectively.

Variational Policy Propagation for Multi-agent Reinforcement Learning

no code implementations19 Apr 2020 Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Weiqiang Wang, Yuan Qi, Le Song

We propose a \emph{collaborative} multi-agent reinforcement learning algorithm named variational policy propagation (VPP) to learn a \emph{joint} policy through the interactions over agents.

Multi-agent Reinforcement Learning reinforcement-learning +2

Underwater image enhancement with Image Colorfulness Measure

no code implementations18 Apr 2020 Hui Li, Xi Yang, ZhenMing Li, TianLun Zhang

To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.

Image Enhancement

Machine-learning-based methods for output only structural modal identification

no code implementations16 Apr 2020 Dawei Liu, Zhiyi Tang, Yuequan Bao, Hui Li

A self-coding deep neural network is designed to identify the structural modal parameters from the vibration data of structures.

BIG-bench Machine Learning

Recovering compressed images for automatic crack segmentation using generative models

no code implementations6 Mar 2020 Yong Huang, Haoyu Zhang, Hui Li, Stephen Wu

We develop a recovery framework for automatic crack segmentation of compressed crack images based on this new CS method and demonstrate the remarkable performance of the method taking advantage of the strong capability of generative models to capture the necessary features required in the crack segmentation task even the backgrounds of the generated images are not well reconstructed.

Compressive Sensing Crack Segmentation +1

Magnitude and significance of the peak of early embryonic mortality

no code implementations5 Mar 2020 Qinghua Chen, Zengru Di, Eduardo M. Garcia-Roger, Hui Li, Peter Richmond, Bertrand M. Roehner

We find that, in line with the few other species for which data are available, the embryonic mortality of zebrafish has a prominent peak shortly after fertilization.

Dynamic Experience Replay

no code implementations4 Mar 2020 Jieliang Luo, Hui Li

Our ablation studies show that Dynamic Experience Replay is a crucial ingredient that either largely shortens the training time in these challenging environments or solves the tasks that the vanilla Ape-X DDPG cannot solve.

Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism

no code implementations6 Feb 2020 Xiaoguang Li, Hui Li, Haonan Yan, Zelei Cheng, Wenhai Sun, Hui Zhu

Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through public queries.

Model extraction regression

Improved dual channel pulse coupled neural network and its application to multi-focus image fusion

no code implementations4 Feb 2020 Huai-Shui Tong, Xiao-Jun Wu, Hui Li

This paper presents an improved dual channel pulse coupled neural network (IDC-PCNN) model for image fusion.

Multi-focus Image Fusion Based on Similarity Characteristics

no code implementations17 Dec 2019 Ya-Qiong Zhang, Xiao-Jun Wu, Hui Li

For three source images, a joint region segmentation method based on segmentation of two images is used to obtain the final segmentation result.

Image Segmentation Semantic Segmentation +1

Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples

1 code implementation2 Nov 2019 Hui Li, Jimin Xiao, Ming-Jie Sun, Eng Gee Lim, Yao Zhao

To tackle this problem, we propose to iteratively guess pseudo labels for the unlabeled image samples, which are later used to update the re-identification model together with the labelled samples.

Person Re-Identification Pseudo Label +1

Single-shot 3D shape reconstruction using deep convolutional neural networks

no code implementations17 Sep 2019 Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhao-Yang Wang

A robust single-shot 3D shape reconstruction technique integrating the fringe projection profilometry (FPP) technique with the deep convolutional neural networks (CNNs) is proposed in this letter.

3D Shape Reconstruction

Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction

no code implementations8 Jul 2019 Fangqiao Hu, Jin Zhao, Yong Huang, Hui Li

Considering the prior human knowledge that these structures are in conformity to regular spatial layouts in terms of components, a learning-based topology-aware 3D reconstruction method which can obtain high-level structural graph layouts and low-level 3D shapes from images is proposed in this paper.

3D Reconstruction Generating 3D Point Clouds

DISCO: Influence Maximization Meets Network Embedding and Deep Learning

no code implementations18 Jun 2019 Hui Li, Mengting Xu, Sourav S. Bhowmick, Changsheng Sun, Zhongyuan Jiang, Jiangtao Cui

As the number of required samples have been recently proven to be lower bounded by a particular threshold that presets tradeoff between the accuracy and efficiency, the result quality of these traditional solutions is hard to be further improved without sacrificing efficiency.

Network Embedding

Towards End-to-End Text Spotting in Natural Scenes

no code implementations14 Jun 2019 Peng Wang, Hui Li, Chunhua Shen

Text spotting in natural scene images is of great importance for many image understanding tasks.

Image Cropping Text Spotting

Pedestrian re-identification based on Tree branch network with local and global learning

no code implementations31 Mar 2019 Hui Li, Meng Yang, Zhihui Lai, Wei-Shi Zheng, Zitong Yu

Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task of person re-identification.

Person Re-Identification

RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems

no code implementations26 Mar 2019 Cheng Wang, Mathias Niepert, Hui Li

Although various transfer learning methods have shown promising performance in this context, our proposed novel method RecSys-DAN focuses on alleviating the cross-domain and within-domain data sparsity and data imbalance and learns transferable latent representations for users, items and their interactions.

Domain Adaptation Recommendation Systems +1

MMKG: Multi-Modal Knowledge Graphs

4 code implementations13 Mar 2019 Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs.

Knowledge Graphs Link Prediction

Automatic trajectory measurement of large numbers of crowded objects

no code implementations3 Feb 2019 Hui Li, Ye Liu, Yan Qiu Chen

Complex motion patterns of natural systems, such as fish schools, bird flocks, and cell groups, have attracted great attention from scientists for years.

Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach

no code implementations7 Jan 2019 Yuequan Bao, Zhiyi Tang, Hui Li

The prior knowledge, i. e., the basis matrix and the CS-sampled signals, are used as the input and the target of the network; the basis coefficient matrix is embedded as the parameters of a certain layer; the objective function of conventional compressive sensing is set as the loss function of the network.

BIG-bench Machine Learning Compressive Sensing

Double Neural Counterfactual Regret Minimization

no code implementations ICLR 2020 Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song

Counterfactual Regret Minimization (CRF) is a fundamental and effective technique for solving Imperfect Information Games (IIG).

Visual Question Answering as Reading Comprehension

no code implementations CVPR 2019 Hui Li, Peng Wang, Chunhua Shen, Anton Van Den Hengel

In contrast to struggling on multimodal feature fusion, in this paper, we propose to unify all the input information by natural language so as to convert VQA into a machine reading comprehension problem.

Common Sense Reasoning General Knowledge +3

MDLatLRR: A novel decomposition method for infrared and visible image fusion

2 code implementations6 Nov 2018 Hui Li, Xiao-Jun Wu, Josef Kittler

We develop a novel image fusion framework based on MDLatLRR, which is used to decompose source images into detail parts(salient features) and base parts.

Infrared And Visible Image Fusion

LRMM: Learning to Recommend with Missing Modalities

no code implementations EMNLP 2018 Cheng Wang, Mathias Niepert, Hui Li

More importantly, LRMM is more robust to previous methods in alleviating data-sparsity and the cold-start problem.

Recommendation Systems

Infrared and Visible Image Fusion with ResNet and zero-phase component analysis

2 code implementations19 Jun 2018 Hui Li, Xiao-Jun Wu, Tariq S. Durrani

Feature extraction and processing tasks play a key role in Image Fusion, and the fusion performance is directly affected by the different features and processing methods undertaken.

Association Infrared And Visible Image Fusion

General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning

1 code implementation13 May 2018 Shiyin Wei, Xiaowei Jin, Hui Li

A universal rule-based self-learning approach using deep reinforcement learning (DRL) is proposed for the first time to solve nonlinear ordinary differential equations and partial differential equations.

Self-Learning Transfer Learning

Multi-focus Noisy Image Fusion using Low-Rank Representation

2 code implementations25 Apr 2018 Hui Li, Xiao-Jun Wu, Tariq Durrani

Multi-focus noisy image fusion represents an important task in the field of image fusion which generates a single, clear and focused image from all source images.

Representation Learning

Infrared and visible image fusion using Latent Low-Rank Representation

2 code implementations24 Apr 2018 Hui Li, Xiao-Jun Wu

Then, the low-rank parts are fused by weighted-average strategy to preserve more contour information.

Infrared And Visible Image Fusion

DenseFuse: A Fusion Approach to Infrared and Visible Images

4 code implementations23 Apr 2018 Hui Li, Xiao-Jun Wu

In this paper, we present a novel deep learning architecture for infrared and visible images fusion problem.

Multi-focus Image Fusion using dictionary learning and Low-Rank Representation

2 code implementations23 Apr 2018 Hui Li, Xiao-Jun Wu

In this paper, we propose a novel multi-focus image fusion method based on dictionary learning and LRR to get a better performance in both global and local structure.

Dictionary Learning Representation Learning

Real-world Noisy Image Denoising: A New Benchmark

2 code implementations7 Apr 2018 Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang

In order to promote the study on this problem while implementing the concurrent real-world image denoising datasets, we construct a new benchmark dataset which contains comprehensive real-world noisy images of different natural scenes.

Image Denoising

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 Feb 2018 Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li

To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).

Transfer Learning

TransRev: Modeling Reviews as Translations from Users to Items

no code implementations30 Jan 2018 Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, Hui Li

This is exploited in sentiment analysis where machine learning models are used to predict the review score from the text of the review.

Product Recommendation Recommendation Systems +3

Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks

no code implementations26 Sep 2017 Hui Li, Peng Wang, Chunhua Shen

In contrast to existing approaches which take license plate detection and recognition as two separate tasks and settle them step by step, our method jointly solves these two tasks by a single network.

License Plate Detection

Push and Pull Search for Solving Constrained Multi-objective Optimization Problems

no code implementations15 Sep 2017 Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman

Compared with other CMOEAs, the proposed PPS method can more efficiently get across infeasible regions and converge to the feasible and non-dominated regions by applying push and pull search strategies at different stages.

On Multi-Relational Link Prediction with Bilinear Models

no code implementations14 Sep 2017 Yanjie Wang, Rainer Gemulla, Hui Li

Bilinear models belong to the most basic models for this task, they are comparably efficient to train and use, and they can provide good prediction performance.

Knowledge Graph Completion Link Prediction

Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks

no code implementations ICCV 2017 Hui Li, Peng Wang, Chunhua Shen

In this work, we jointly address the problem of text detection and recognition in natural scene images based on convolutional recurrent neural networks.

Image Cropping Text Spotting

Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment

no code implementations13 Jan 2017 Yong Huang, James L. Beck, Hui Li

The focus in this paper is Bayesian system identification based on noisy incomplete modal data where we can impose spatially-sparse stiffness changes when updating a structural model.

Bayesian Inference

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit

no code implementations21 Dec 2016 Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman

Multi-objective evolutionary algorithms (MOEAs) have progressed significantly in recent decades, but most of them are designed to solve unconstrained multi-objective optimization problems.

Improved phase-unwrapping method using geometric constraints

no code implementations28 Sep 2016 Guangliang Du, Minmin Wang, Canlin Zhou, Shuchun Si, Hui Li, Zhenkun Lei, YanJie Li

In this paper, we proposed an improved method, which eliminates the system calibration and determination in Zhang's method, meanwhile does not need to use the low frequency fringe pattern.

Enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm

no code implementations7 Jun 2016 Minmin Wang, Guangliang Du, Canlin Zhou, Chaorui Zhang, Shuchun Si, Hui Li, Zhenkun Lei, YanJie Li

We proposed a method for enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm, which combines the complementary technique of inverted and regular fringe patterns with generalized phase-shifting algorithm.


Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs

1 code implementation21 Jan 2016 Hui Li, Chunhua Shen

Inspired by the success of deep neural networks (DNNs) in various vision applications, here we leverage DNNs to learn high-level features in a cascade framework, which lead to improved performance on both detection and recognition.

License Plate Detection

Salient Structure Detection by Context-Guided Visual Search

no code implementations17 May 2015 Kai-Fu Yang, Hui Li, Chao-Yi Li, Yong-Jie Li

We define the task of salient structure (SS) detection to unify the saliency-related tasks like fixation prediction, salient object detection, and other detection of structures of interest.

Bayesian Inference object-detection +2

Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals

no code implementations28 Mar 2015 Yong Huang, James L. Beck, Stephen Wu, Hui Li

The application of compressive sensing (CS) to structural health monitoring is an emerging research topic.

Compressive Sensing

Dictionary learning based image enhancement for rarity detection

no code implementations4 May 2013 Hui Li, Xiaomeng Wang, Weifeng Liu, Yan-Jiang Wang

Image enhancement is an important image processing technique that processes images suitably for a specific application e. g. image editing.

Dictionary Learning Image Enhancement

Solar Intranetwork Magnetic Elements: bipolar flux appearance

no code implementations5 Mar 2012 Jingxiu Wang, Guiping Zhou, Chunlan Jin, Hui Li

Each of the clusters is characterized by a few well-developed ERs that are partially or fully co-aligned in magnetic axis orientation.

Solar and Stellar Astrophysics

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