Haitao Dong

Shanxi Agricultural University

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i-10 index

Research Trends

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Co-Authors

Debao Li

Hefei University of Technology

Chengen Dai

Chinese Academy of Forestry

Yongqi Fang

First Affiliated Hospital of Guangzhou University of Chinese Medicine

Youzhi Li

Guangxi University

Ye Deng

Chinese Academy of Sciences

Dong Zhao

Zhejiang University

Qingchao Jin

Ningbo University of Technology

Baoshan Chen

Guangxi University

Jing Shao

Group Sense (China)

Liheng He

Shanxi Agricultural University

Cooperative Institutions

Northwestern Polytechnical University

204

Conference Board

182

Zhejiang University

Chinese Academy of Sciences

Northwest A&F University

Shanghai Jiao Tong University

Guangxi University

University of Chinese Academy of Sciences

Shanxi Agricultural University

Chinese Academy of Medical Sciences & Peking Union Medical College

Author Statistics

Papers

Citation

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i-10 index

Research Field

An Improved SVM with Earth Mover’s Distance Regularization and Its Application in Pattern Recognition

Electronics (2023)

Rui Feng Haitao Dong Xuri Li Zhaochuang Gu Runyang Tian

A support vector machine (SVM) aims to achieve an optimal hyperplane with a maximum interclass margin and has been widely utilized in pattern recognition. Traditionally, a SVM mainly considers the separability of boundary points (i.e., support vectors), while the underlying data structure information is commonly ignored. In this paper, an improved support vector machine with earth mover’s distance (EMD-SVM) is proposed. It can be regarded as an improved generalization of the standard SVM, and can automatically learn the distribution between the classes. To validate its performance, we discuss the necessity of the structural information of EMD-SVM in the linear and nonlinear cases, respectively. Experimental validation was designed and conducted in different application fields, which have shown its superior and robust performance.

Earth mover's distance

Hyperplane

Margin (machine learning)

Ranking SVM

Regularization

10.3390/electronics12030645

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Citations (1)

Author Index

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) (2021)

Bo An Qiang Ayub Muhammad Saad Luciano Bai Guanghui Bao

10.1109/icspcc52875.2021.9565066

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Citations (0)

Application of cDNA array for studying the gene expression profile of mature appressoria of Magnaporthe grisea

Journal of Zhejiang University SCIENCE B (2007)

Qingchao Jin Haitao Dong You-Liang Peng Baoshan Chen Jing Shao

Appressorium

Magnaporthe

10.1631/jzus.2007.b0088

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Citations (7)

Underwater Multi-Class Targets Classification Based on Conflict Confidence Fusion

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) (2021)

Zhe Jiang Xuewen Chen Ke He Haitao Dong

Due to the diversity and frequent update of underwater acoustic targets, coupled with the complex and changeable marine environment and the non-stationary noise, underwater targets also suffer from a serious lack of radiated noise data due to time and place constraints and lack of training samples. Therefore, the classification method for multi-class targets in water is more difficult than the classification and recognition task for two-class targets in water. Aiming at the problem of the low accuracy of classification recognition due to the uncertainty and conflict between the characteristics of multiple types of targets in water, this paper proposes a SVM-DSmT confidence-based fusion of multiple types of targets in water based on conflict reliability fusion. Through the conflict analysis of multi-target features, a confidence conflict analysis model based on conflict processing is constructed, and a DSmT confidence fusion method based on conflict reliability is proposed to realize the classification and recognition of multiple types of targets in water. The feasibility and effectiveness of the method proposed in this paper is verified by combining with the field test data on the lake.

Dempster–Shafer theory

Sensor Fusion

10.1109/icspcc52875.2021.9564512

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Citations (0)

PstTPS1 , the trehalose-6-phosphate synthase gene of Puccinia striiformis f. sp. tritici , involves in cold stress response and hyphae development

Physiological and Molecular Plant Pathology (2017)

Yiping Zou Lijie Ma Haitao Dong Fei Tao Xiaojun Feng

Trehalase

10.1016/j.pmpp.2017.10.007

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Citations (8)

A Novel Gene of β Chain of the IFN-γ Receptor ofHuiyangChicken: Cloning, Distribution, and CD Assay

Journal of Interferon & Cytokine Research (2006)

Han Chun-Lai Wei Zhang Haitao Dong Xue Han Ming Wang

The beta chain of the interferon-gamma receptor (IFNGR-2) plays a critical role in signal transmission to the nucleus by IFN-gamma. Here, we cloned the full-length cDNA of IFNGR-2 of Huiyang chicken using RACE. mRNA transcripts of IFNGR-2 were detected in peripheral blood leukocytes (PBL) and various organs using Northern blot analysis. The extracellular region of IFNGR-2 (IFNGR-2EC) was expressed in Pichia pastoris, and its secondary structure was investigated by circular dichroism (CD). The Huiyang chicken IFNGR-2 gene is 2221 bp with a polyA+ tail, and it encodes 334 amino acids sharing 30%-33% identity with that of rat, mouse, and human IFNGR-2. IFNGR-2 is localized on chromosome 1 of chicken in tandem with IFNAR-1, interleukin- 10 receptor (IL-10R-2), and IFNAR-2. IFNGR-2 was highly expressed in PBL, muscle, spleen, thymus, and cecal tonsil, whereas its expression in cardiac muscle, cloacal bursa, liver, and kidney was comparatively low. Recombinant protein of IFNGR-2EC expressed in P. pastoris formed the secondary structure including 19.8% alpha-helix, 29.6% beta-sheet, 19.7% turn, and 30.9% random. The data show that Huiyang chicken IFNGR-2 shares properties of the IFN receptor family in gene structure and distribution in multiple tissues and PBL. CD analysis indicated that the recombinant protein of IFNGR-2EC resembles the known structure of human IFN receptors.

10.1089/jir.2006.26.441

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Citations (16)

Large-scale expressed sequence tag analysis for the chestnut blight fungus Cryphonectria parasitica

Fungal Genetics and Biology (2007)

Jinjie Shang Xiaosong Wu Xiuwan Lan Yunyan Fan Haitao Dong

Cryphonectria

Chestnut Blight

Conidiation

Mycovirus

10.1016/j.fgb.2007.11.002

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Citations (23)

[Analysis of gene expression profiles during host-Magnaporthe grisea interactions in a pair of near isogenic lines of rice].

PubMed (2002)

Zhiming Rao Haitao Dong Jie‐Yun Zhuang Rongyao Chai Ye‐Yang Fan

Source

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Citations (13)

Comparative Profiles of Gene Expression in Leaves and Roots of Maize Seedlings under Conditions of Salt Stress and the Removal of Salt Stress

Plant and Cell Physiology (2009)

Dongjin Qing Hai-Feng Lu Ning Li Haitao Dong Dengfeng Dong

We studied the transcriptional profiles of leaves and roots of three-leaf stage seedlings of the maize inbred line YQ7-96 under conditions of salt stress (100 mM NaCl) and removal of salt stress (RSS). A total of 296 genes were regulated specifically by the stress, of which 206 were specific to leaves and 90 were specific to roots. Stress-regulated genes were classified into eight and seven expression patterns for leaves and roots, respectively. There were 60 genes which were regulated specifically by RSS, 27 of which were specific to leaves and 33 specific to roots. No genes were found to be co-regulated in tissues and to be regulated commonly by the stress and RSS. It can be concluded that (i) at the early stage of the stress, transcriptional responses are directed at water deficit in maize leaves but at both water deficit and Na+ accumulation in roots; (ii) at the later stage, the responses in leaves and roots result from dual effects of both water deficit and Na+ accumulation; (iii) the polyamine metabolic pathway is an important linker for the co-ordination between leaves and roots to accomplish the tolerance of the whole maize plant to the stress; (iv) the stress can lead to genomic restructuring and nuclear transport in maize; (v) maize leaves are distinct from roots in terms of molecular mechanisms for responses to and growth recovery from the stress; and (vi) mechanisms for the maize responses to the stress differ from those for their growth recovery during RSS.

Drought stress

10.1093/pcp/pcp038

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Citations (59)

Detection of Underwater Weak Signals Based on Stochastic Resonance Multi-Measures Fusion

Huang Zhongming Haiyan Wang Haitao Dong Jian Suo

Stochastic resonance (SR) has been proved to be an effective approach for weak signal detection, which may probably to be used for a variety of oceanic fields such as underwater acoustic concealed communication, passive sonar detection, seismic wave detection, and etc. This paper presents a new multi-measurements fusion index, named entropy kurtosis variation product, of Stochastic Resonance for weak signal detection. This new measurement index is built which to combine two novel indexes of the approximate entropy and kurtosis variation, and a weak signal detection strategy with the residual signal that reconstructed by remove the peak spectrum spike in frequency domain, which is anticipate to be used for unknown weak signal detection (unknown prior information). Simulation comparations and an tank experiment have verified the proposed method can be convenient and effective for detecting underwater weak signals.

Kurtosis

Detection theory

SIGNAL (programming language)

Stochastic Resonance

10.1109/oceanskobe.2018.8559075

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Citations (1)