Fuchuan Ni

Huazhong Agricultural University | HZAU · College of Informatics

Peach diseases seriously affect peach yield and people’s health. The precise identification of peach diseases and the segmentation of the diseased areas can provide the basis for disease control and treatment. However, the complex background and imbalanced samples bring certain challenges to the segmentation and recognition of lesion area, and the...

Zero-shot learning (ZSL) realizes unseen object recognition by transferring knowledge from seen classes to unseen classes under common semantic space assumption, such as attribute space and semantic word vector space. Previous works used seen image feature and semantic representation but ignored unseen test image features to learn a projection from...

Automatic cow detection with computer vision is a hitting topic in recent years. Recent studies found that adding facial alignment task can improve the performance of the detection. Instead of using the cascaded method to fine tune the candidate boxes, we propose an end-to-end multi-task fully convolutional network (MTFCN) which outperforms multi-t...

Background Peach diseases can cause severe yield reduction and decreased quality for peach production. Rapid and accurate detection and identification of peach diseases is of great importance. Deep learning has been applied to detect peach diseases using imaging data. However, peach disease image data is difficult to collect and samples are imbalan...

Tea pests, as one of the main threats in the tea gardens, cause considerable losses to the tea industry every year. In order to ensure the quality of the tea production process, it is of great importance to detect tea pests timely and use correct treatment to control tea pests. Recent developments in deep learning have dramatically improved the acc...

In recent years, social networks have surged in popularity as one of the main applications of the Internet. One key aspect of social network research is exploring important unobserved network information which is not explicitly represented. This study first introduces a new path identification problem to identify the existences of unobserved paths...

Attribution editing has achieved remarkable progress in recent years owing to the encoder-decoder structure and generative adversarial network (GAN). However, it remains challenging to generate high-quality images with accurate attribute transformation. Attacking these problems, the work proposes a novel selective attribute editing model based on c...

Background: Peach diseases can cause severe yield reduction and decreased quality for peach production. Rapid and accurate detection and identification of peach diseases is of great importance. Deep learning has been applied to detect peach diseases using imaging data. However,peach disease image data is difficult to collect and samples are imbalan...

Background: Peach diseases can cause severe yield reduction and decreased quality for peach production. Rapid and accurate detection and identification of peach diseases is of great importance. Deep learning has been applied to detect peach diseases using imaging data. However, peach disease image data is difficult to collect and samples are imbala...

Identifying drug-disease associations is integral to drug development. Computationally prioritizing candidate drug-disease associations has attracted growing attention due to its contribution to reducing the cost of laboratory screening. Drug-disease associations involve different association types, such as drug indications and drug side effects. H...

Attribution editing has shown remarking progress by the incorporating of encoder-decoder structure and generative adversarial network. However, there are still some challenges in the quality and attribute transformation of the generated images. Encoder-decoder structure leads to blurring of images and the skip-connection of encoder-decoder structur...

In recent years, voice knowledge sharing and question answering (Q&A) platforms have attracted much attention, which greatly facilitate the knowledge acquisition for people. However, little research has evaluated on the quality evaluation on voice knowledge sharing. This paper presents a data-driven approach to automatically evaluate the quality of...

Biological pathways play important roles in the development of complex diseases, such as cancers, which are multifactorial complex diseases that are usually caused by multiple disorders gene mutations or pathway. It has become one of the most important issues to analyze pathways combining multiple types of high-throughput data, such as genomics and...

Relion is the 3D reconstruction program with the Bayes algorithm of electron cryo-microscope (cryo-EM) data. We analyzed the characteristics of the Relion program, and designed a parallelization scheme. We use the optimization methods commonly used in the code optimization for Relion programs, such as memory access optimization, multithread optimiz...

Evolvable hardware (EHW) adapts its structure and functionality at run time, by evolutionary algorithms, in a dynamic and uncertain environment. Because of man-for-one genotype-phenotype map in EHW, the problems of evolving digital circuit are multi-modal optimizations. As an important algorithm for EHW, Cartesian Genetic Programming suffers from a...

With the dramatic increase of circuit scale and the harsh environment, the reliability of the system has become the great hidden danger. Triple different-structure modular redundant system based on evolution mechanism shows good fault tolerant ability. How to enhance the efficiency and diversity of the evolution generation module has become the key...

This paper proposes a new tracking method based on multilayer feature combination. In each layer, the target is segmented into local patches, and patch sizes of different layers are different. Through this way, each layer contains different local information of the object, which are mutually complementary for each other. For each layer, the local p...

Genetic algorithm is easy to fall into local optimal solution. Simulated annealing algorithm may accept nonoptimal solution at a certain probability to jump out of local optimal solution. On the other hand, lack of communication among genes in MapReduce platform based genetic algorithm, the high-performance distributed computing technologies or pla...

Evolvable hardware (EHW) is facing the problems of scalability. Evolutionary algorithms often trap into local optima, or stalling in the later procedure. This paper analyses the difficulty of EHW. To improve the efficiency of Cartesian Genetic Programming (CGP), Neighborhood searching and orthogonal experiment design are tailed to an orthogonal mut...

Evolvable Hardware is facing the problems of scalability and stalling effect. This paper proposed a novel Orthogonal Neighbourhood Mutation (ONM) operator in Cartesian genetic programming (CGP), to reduce the stalling effect in CGP and improve the efficiency of the algorithms.The method incorporates with Differential Evolution strategy. Demonstrate...

This paper proposed a new data encryption algorithm based on evolvable cellular automata CA, by taking the CAs' initial state and rule as the evolution object, try to find out the cipher text which is close to the plaintext after evolution by CAs. The parity information was introduced and the maximum age was used as the termination condition of evo...

Temperature/oxygen concentration-based aeration control system was designed and realized to control the process of aerobic composting. The outline, method, function and process of realization of the system were described in detail. By 2-week aerobic composting with this system, it showed that the system could run stably during composting and the co...