Li Zhang

Dalian Ocean University, Lü-ta-shih, Liaoning, China

Are you Li Zhang?

Claim your profile

Publications (458)748.58 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: Target representation is critical to visual tracking. A good representation usually exploits some inherent relationship and structures among the observed targets, the candidates, or both. In this work, we observe that the candidates are strongly correlated to each other and exhibit obvious clustering structure, when they are densely sampled around possible target locations. Thus, we propose a Self-Expressive Tracking (SET) algorithm based on an accurate representation with good discriminative performance. The interrelationship and the clustering structure among the observed targets and the candidates are exploited by using a self-expressive scheme with a low-rank constraint. Further, we design a discriminative criterion of the likelihood for target location, which simultaneously considers the target, background and representation errors. To appropriately capture the appearance changes of the target, we develop an update strategy that adaptively switches different update rates during tracking. Extensive experiments demonstrate that our tracking algorithm outperforms many other state-of-the-art methods.
    Pattern Recognition 09/2015; 48(9). DOI:10.1016/j.patcog.2015.03.007 · 3.10 Impact Factor
  • Applied Intelligence 09/2015; DOI:10.1007/s10489-015-0713-7 · 1.85 Impact Factor
  • Yao Sui · Li Zhang
    [Show abstract] [Hide abstract]
    ABSTRACT: We propose a new target representation method, where the temporally obtained targets are jointly represented as a time series function by exploiting their spatially local structure. With this method, we propose a new tracking algorithm, where tracking is formulated as a problem of Gaussian process regression over the joint representation. Numerous experiments on various challenging video sequences demonstrate that our tracker outperforms several other state-of-the-art trackers.
    IEEE Signal Processing Letters 09/2015; 22(9):1-1. DOI:10.1109/LSP.2015.2402313 · 1.75 Impact Factor
  • Shunli Zhang · Yao Sui · Xin Yu · Sicong Zhao · Li Zhang
    [Show abstract] [Hide abstract]
    ABSTRACT: Tracking-by-detection techniques always formulate tracking as a binary classification problem. However, in this formulation, there exists a potential issue that the boundary of the positive targets and the negative background samples is fuzzy, which may be an important factor causing drift. To address this problem, we propose a novel hybrid formulation for tracking based on binary classification, regression and one-class classification, which comprehensively represents the appearance from different perspectives. In particular, the proposed regression model is a novel formulation for tracking and plays an important role in solving the fuzzy boundary problem. Moreover, we present a new tracking approach with different support vector machines (SVMs) and a novel distribution-based collaboration strategy as a specific implementation. Experimental results demonstrate that our method is robust and can achieve the state-of-the-art performance.
    Pattern Recognition 08/2015; 48(8). DOI:10.1016/j.patcog.2015.02.008 · 3.10 Impact Factor
  • Yao Sui · Shunli Zhang · Li Zhang
    [Show abstract] [Hide abstract]
    ABSTRACT: Target representation is a necessary component for a robust tracker. However, during tracking, many complicated factors may make the accumulated errors in the representation significantly large, leading to tracking drift. This work aims to improve the robustness of target representation to avoid the influence of the accumulated errors, such that the tracker only acquires the information that facilitates tracking and ignores the distractions. We observe that the locally mutual relations between the feature observations of temporally obtained targets are beneficial to the subspace representation in visual tracking. Thus, we propose a novel subspace learning algorithm for visual tracking, which imposes joint row-wise sparsity structure on the target subspace to adaptively exclude distractive information. The sparsity is induced by exploiting the locally mutual relations between the feature observations during learning. To this end, we formulate tracking as a subspace sparsity inducing problem. A large number of experiments on various challenging video sequences demonstrate that our tracker outperforms many other state-of-the-art trackers.
    IEEE Transactions on Image Processing 07/2015; 24(12). DOI:10.1109/TIP.2015.2462076 · 3.63 Impact Factor
  • Li Zhang · Handong Wang
    [Show abstract] [Hide abstract]
    ABSTRACT: Astaxanthin (ATX) is a xanthophyll carotenoid which has been approved by the United States Food and Drug Administration (USFDA) as food colorant in animal and fish feed. It is widely found in algae and aquatic animals and has powerful anti-oxidative activity. Previous studies have revealed that ATX, with its anti-oxidative property, is beneficial as a therapeutic agent for various diseases without any side effects or toxicity. In addition, ATX also shows preclinical anti-tumor efficacy both in vivo and in vitro in various cancer models. Several researches have deciphered that ATX exerts its anti-proliferative, anti-apoptosis and anti-invasion influence via different molecules and pathways including signal transducer and activator of transcription 3 (STAT3), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and peroxisome proliferator-activated receptor gamma (PPARγ). Hence, ATX shows great promise as chemotherapeutic agents in cancer. Here, we review the rapidly advancing field of ATX in cancer therapy as well as some molecular targets of ATX.
    Marine Drugs 07/2015; 13(7):4310-4330. DOI:10.3390/md13074310 · 2.85 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Recent outbreak of hand, foot and mouse disease caused by enterovirus 71 is a serious threat to infants and children in Asia-Pacific countries. No vaccines or antiviral therapies are available against this infection. In this study, we found that quinolizidine alkaloids could improve the levels of T cells in mice. The structure-activity relationships demonstrated that the oxidation and double bonds are important for the excellent potency. Oxysophocarpine, the most effective compound of six quinolizidine alkaloids, could also relieve symptoms and reduce mortality in lethal enterovirus 71-infected mice through compensating for the decreased levels of T cells. This work suggested that quinolizidine alkaloids have the potential against enterovirus 71 for further development of novel antiviral drugs. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Bioorganic & medicinal chemistry letters 07/2015; 25(17). DOI:10.1016/j.bmcl.2015.06.097 · 2.42 Impact Factor
  • Journal of Materials Science Materials in Electronics 07/2015; DOI:10.1007/s10854-015-3410-8 · 1.57 Impact Factor
  • Li Zhang · Ke Ding · Handong Wang · Yong Wu · Jianguo Xu
    [Show abstract] [Hide abstract]
    ABSTRACT: FTY720 is a synthetic compound produced by modification of metabolite from Isaria sinclairii. It is a novel type of immunosuppressive agent inhibiting lymphocyte egress from secondary lymphoid tissues, thereby causing peripheral lymphopenia. Growing evidences have suggested that apoptosis and autophagy were involved in the secondary brain injury after traumatic brain injury (TBI) although FTY720 exerted neuroprotective effects in a variety of neurological diseases except TBI. The present study was aimed to investigate the role of FTY720 in a mouse model of TBI. In experiment 1, ICR mice were divided into four groups: sham group, TBI group, TBI + vehicle group, and TBI + FTY720 group. And the injured cerebral cortex (including both contused and penumbra) was used for analysis. We found that FTY720 administration after TBI improved neurobehavioral function, alleviated brain edema, accompanied by modulation of apoptotic indicators such as Bcl-2, Bcl-xL, Bax, and cytochrome c. In experiment 2, ICR mice were also divided into four groups: sham group, TBI + vehicle group, TBI + FTY720 group, and TBI + FTY720 + inhibitors group. And the injured cerebral cortex (including both contused and penumbra) was used for analysis. We found that FTY720 increased the expression of phospho-protein kinase B (AKT) and some autophagy markers such as LC3 and Beclin 1. In addition, the apoptosis inhibition effect of FTY720 was partly abrogated by the phosphatidylinositide 3-kinases (PI3K)/AKT pathway inhibitor LY294002 and autophagy inhibitor 3-methyladenine. Collectively, our data provide the first evidence that FTY720 exerted neuroprotective effects after TBI, at least in part, through the activation of PI3K/AKT pathway and autophagy.
    Cellular and Molecular Neurobiology 06/2015; DOI:10.1007/s10571-015-0227-1 · 2.51 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: X-ray grating interferometry offers a novel framework for the study of weakly absorbing samples. Three kinds of information, that is, the attenuation, differential phase contrast (DPC), and dark-field images, can be obtained after a single scanning, providing additional and complementary information to the conventional attenuation image. Phase shifts of X-rays are measured by the DPC method; hence, DPC-CT reconstructs refraction indexes rather than attenuation coefficients. In this work, we propose an explicit filtering based low-dose differential phase reconstruction algorithm, which enables reconstruction from reduced scanning without artifacts. The algorithm adopts a differential algebraic reconstruction technique (DART) with the explicit filtering based sparse regularization rather than the commonly used total variation (TV) method. Both the numerical simulation and the biological sample experiment demonstrate the feasibility of the proposed algorithm.
    Computational and Mathematical Methods in Medicine 06/2015; 2015:1-7. DOI:10.1155/2015/623236 · 0.77 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Hydrogen sulfide (H2S) can be synthesized in mammalian cells by cystathionine γ-lyase (CSE) and/or cystathionine β-synthase (CBS). Both CSE and CBS are expressed in rat gastric tissues but their role in human gastric neoplasia has been unclear. The aims of the present study were to detect CSE and CBS proteins in human gastric cancer and determine the effect of exogenous NaHS on the proliferation of gastric cancer cells. We found that both CSE and CBS proteins were expressed in human gastric cancer cells and upregulated in human gastric carcinoma mucosa compared with those in noncancerous gastric samples. NaHS induced apoptosis of gastric cancer cells by regulating apoptosis related proteins. Also, NaHS inhibited cancer cell migration and invasion. An antigastric cancer role of H2S is thus indicated.
    Oxidative medicine and cellular longevity 06/2015; 2015:1-8. DOI:10.1155/2015/636410 · 3.36 Impact Factor
  • Source
    Bo Wu · Huajian Teng · Li Zhang · Hong Li · Jing Li · Lina Wang · Hongzhu Li
    [Show abstract] [Hide abstract]
    ABSTRACT: Based on the discovery of endogenous H2S production, many in depth studies show this gasotransmitter with a variety of physiological and pathological functions. Three enzymes, cystathionine β-synthase (CBS), cystathionine γ-lyase (CSE), and 3-mercaptopyruvate sulfurtransferase (MST), are involved in enzymatic production of H2S. Emerging evidence has elucidated an important protective role of H2S in hypoxic conditions in many mammalian systems. However, the mechanisms by which H2S senses and responses to hypoxia are largely elusive. Hypoxia-inducible factors (HIFs) function as key regulators of oxygen sensing, activating target genes expression under hypoxia. Recent studies have shown that exogenous H2S regulates HIF action in different patterns. The activation of carotid bodies is a sensitive and prompt response to hypoxia, rapidly enhancing general O2 supply. H2S has been identified as an excitatory mediator of hypoxic sensing in the carotid bodies. This paper presents a brief review of the roles of these two pathways which contribute to hypoxic sensing of H2S.
    Oxidative medicine and cellular longevity 06/2015; 2015:1-9. DOI:10.1155/2015/758678 · 3.36 Impact Factor
  • Shunli Zhang · Yao Sui · Sicong Zhao · Xin Yu · Li Zhang
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, we propose a novel multi-local-task learning with global regularization (GR-MLTL) method for object tracking. In our formulation, the tracking task is decomposed into several local tasks by dividing the whole target into several fragments, and the final tracking result is obtained by combining the local tasks. Specifically, we propose a global regularization term and inject it into the objective function of the multi-local-task learning formulation, and derive a closed-form solution. In our method, both the local and the global properties are embedded into a unified framework, which can not only retain the integral structure of the target by the global regularization, but also address the occlusions effectively by the local tasks. Experimental results demonstrate that our method is robust and achieves comparable performance to many state-of-the-art methods.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Although several studies have compared the representation of fractions and decimals, no study has investigated whether fractions and decimals, as two types of rational numbers, share a common representation of magnitude. The current study aimed to answer the question of whether fractions and decimals share a common representation of magnitude and whether the answer is influenced by task paradigms. We included two different number pairs which were presented sequentially: fraction-decimal mixed pairs and decimal-fraction mixed pairs in all four experiments. Results showed that when the mixed pairs were very close numerically with the distance 0.1 or 0.3, there was a significant distance effect in the comparison task but not in the matching task. However, when the mixed pairs were further apart numerically with the distance 0.3 or 1.3, the distance effect appeared in the matching task regardless of the specific stimuli. We conclude that magnitudes of fractions and decimals can be represented in a common manner, but how they are represented is dependent on the given task. Fractions and decimals could be translated into a common representation of magnitude in the numerical comparison task. In the numerical matching task, fractions and decimals also shared a common representation. However, both of them were represented coarsely, leading to a weak distance effect. Specifically, fractions and decimals produced a significant distance effect only when the numerical distance was larger.
    Quarterly journal of experimental psychology (2006) 05/2015; DOI:10.1080/17470218.2015.1052525 · 2.13 Impact Factor
  • Li Zhang · Shiming Xu · Ping Du · Huanying Liu
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper proposed a small-sized auto-cascade refrigeration cycle using CO2/propane as the refrigerant. A fractionation heat exchanger (FHEX) was introduced into this cycle to improve the separation efficiency of CO2 and propane. The effect of FHEX on the performance of the cycle was analyzed. And the comparison between with and without FHEX was presented based on the experiment and numerical simulation data at the cooling water inlet temperature of 18.3°C. Results show that the evaporating temperatures of the cycle with FHEX are 9.1-20.3°C lower than that of the cycle without FHEX with the increase of CO2 mass fraction from 0.22 to 0.31. The corresponding refrigeration capacity, power input and COP have 37.1-61.7%, 24.7-36.8% and 16.4-42.7% reduction, respectively. The further computation results of different vapor quality in FHEX at the condensing temperature of 23.3°C and 37.0°C indicate that reducing the vapor quality causes an enhancement in the separation of CO2 and propane, and thus decreases the evaporating temperature. Moreover, all of the refrigeration capacity, power input and COP are decreased. It is concluded that the cycle performance would be improved by increasing CO2 mass fraction or decreasing the cooling water temperature.
    Applied Thermal Engineering 05/2015; 87. DOI:10.1016/j.applthermaleng.2015.05.016 · 2.74 Impact Factor
  • Li Zhang · Handong Wang · Ke Ding · Jianguo Xu
    [Show abstract] [Hide abstract]
    ABSTRACT: FTY720 is a potent immunosuppressant which has preclinical antitumor efficacy in various cancer models. However, its role in glioblastoma remains unclear. In the present study, we found that FTY720 induced extrinsic apoptosis, necroptosis and autophagy in human glioblastoma cells. Inhibition of autophagy by either RNA interference or chemical inhibitors attenuated FTY720-induced apoptosis and necrosis. Furthermore, autophagy, apoptosis and necrosis induction were dependent on reactive oxygen species-c-Jun N-terminal kinase-protein 53 (ROS-JNK-p53) loop mediated phosphatidylinositide 3-kinases/protein kinase B/mammalian target of rapamycin/p70S6 kinase (PI3K/AKT/mTOR/p70S6K) pathway. In addition, receptor-interacting protein 1 and 3 (RIP1 and RIP3) served as an upstream of ROS-JNK-p53 loop. However, the phosphorylation form of FTY720 induced autophagy but not apoptosis and necroptosis. Finally, the in vitro results were validated in vivo in xenograft mouse of glioblastoma cells. In conclusion, the current study provided novel insights into understanding the mechanisms and functions of FTY720-induced apoptosis, necroptosis and autophagy in human glioblastoma cells. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
    Toxicology Letters 05/2015; 236(1). DOI:10.1016/j.toxlet.2015.04.015 · 3.26 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: An allatostatin (AST) neuropeptide mimic (H17) is a potential insect growth regulator which inhibits the production of juvenile hormone (JH) by the corpora allata. To determine the effect of conformation of novel AST analogs and their ability to inhibit juvenile hormone biosynthesis, eight insect allatostatin analogs were synthesized using H17 as the lead compound by N-methylation scanning, which is a common strategy for improving the biological properties of peptides. Bioassay using JH production by corpora allata of the cockroach Diploptera punctata indicated that single N-Methylation mimics (1~4) showed more activity than double N-Methylation mimics (5~8). Especially, analogs 1 and 4 showed roughly equivalent activity to that of H17, with IC50 values of 5.17×10-8 M and 6.44×10-8 M, respectively. Molecular modeling, based on NMR data, showed that the conformation of analog 1 and 4 seems to be flexible, whereas analog 2 and 3 showed a type IV β-turn. This flexible linear conformation was hypothesized to be a new important and indispensable structural element beneficial to the activity of allatostatin mimics.
    Journal of Agricultural and Food Chemistry 03/2015; 63(11). DOI:10.1021/acs.jafc.5b00882 · 2.91 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: In the previous reports regarding thermoregulation, the hypothalamus is thought to be the primary centre in the central nervous system for controlling the body temperature. However, to date, there has not been sufficient evidence to reveal its thermoregulatory mechanism. In the current study, we utilised a tissue-targeted metabolomics strategy to elucidate the underlying biochemical mechanisms of thermoregulation in the fever process by analysing the global metabolic profile of the hypothalamus in yeast-induced pyrexia rats. Data acquisition was completed using the HPLC-LTQ-Orbitrap/MS in both positive and negative ion mode. Principal component analysis was used to observe the cluster characteristics between the control group and the pyrexia group. Potential biomarkers were screened using orthogonal partial least-squares-discriminant analysis. Seventeen potential biomarkers were identified in the hypothalamus samples to discriminate the control and pyrexia groups, including amino acids, nucleic acids, vitamins, carbohydrates, and phospholipids. As a result, purine metabolism was enhanced pronouncedly, and perturbation of lipid metabolism was also observed. Meanwhile, amino acid metabolism and energy metabolism were also activated significantly. In conclusion, the study indicated that hypothalamus-targeted metabolomics could provide a powerful tool to further understand the pathogenesis of febrile response. Copyright © 2015. Published by Elsevier Ireland Ltd.
    Chemico-Biological Interactions 03/2015; 231. DOI:10.1016/j.cbi.2015.02.018 · 2.58 Impact Factor
  • Jun Luo · Lei Zhang · Li Zhang · Yan Wang · Zhiping Yu
    [Show abstract] [Hide abstract]
    ABSTRACT: Current-mode logic (CML) dividers are widely used in radio-frequency and millimeter-wave transceivers and frequency synthesizers for its wide division range. In this brief, a general analysis and optimization methodology of complimentary metal–oxide–semiconductor CML dividers based on the second-order approximation of transconductance is presented for the first time. Mechanisms of asymmetric sensitivity curves around self-oscillation frequency over wideband and inherent cutoff frequency above the self-oscillation are revealed, while corresponding design flow is presented based on the analysis. Following the proposed flow, a better tradeoff between division range and power than the reported arts is obtained by virtue of the proposed optimization method.
    Circuits and Systems II: Express Briefs, IEEE Transactions on 03/2015; 62(3):256-260. DOI:10.1109/TCSII.2014.2369071 · 1.23 Impact Factor
  • Shunli Zhang · Xin Yu · Yao Sui · Sicong Zhao · Li Zhang
    [Show abstract] [Hide abstract]
    ABSTRACT: How to build an accurate and reliable appearance model to improve the performance is a crucial problem in object tracking. Since the multi-view learning can lead to more accurate and robust representation of the object, in this paper, we propose a novel tracking method via multi-view learning framework by using multiple support vector machines (SVM). The multi-view SVMs tracking method is constructed based on multiple views of features and a novel combination strategy. To realize a comprehensive representation, we select three different types of features, i.e., gray scale value, histogram of oriented gradients (HOG), and local binary pattern (LBP), to train the corresponding SVMs. These features represent the object from the perspectives of description, detection, and recognition, respectively. In order to realize the combination of the SVMs under the multi-view learning framework, we present a novel collaborative strategy with entropy criterion, which is acquired by the confidence distribution of the candidate samples. In addition, to learn the changes of the object and the scenario, we propose a novel update scheme based on subspace evolution strategy. The new scheme can control the model update adaptively and help to address the occlusion problems. We conduct our approach on several public video sequences and the experimental results demonstrate that our method is robust and accurate, and can achieve the state-of-the-art tracking performance.
    IEEE Transactions on Multimedia 03/2015; 17(3):1-1. DOI:10.1109/TMM.2015.2390044 · 2.30 Impact Factor

Publication Stats

4k Citations
748.58 Total Impact Points


  • 2015
    • Dalian Ocean University
      Lü-ta-shih, Liaoning, China
  • 2013–2015
    • Beijing University of Chinese Medicine and Pharmacology
      • School of Chinese Materia Medica
      Peping, Beijing, China
    • Nanjing University
      • • School of Medicine
      • • Department of Physics
      Nan-ching, Jiangsu Sheng, China
    • Renmin University of China
      Peping, Beijing, China
  • 2005–2015
    • Tsinghua University
      • • Department of Electronic Engineering
      • • Department of Engineering Physics
      Peping, Beijing, China
  • 2002–2015
    • Henry Ford Hospital
      • Department of Neurology
      Detroit, Michigan, United States
  • 2014
    • Southwest University
      Kenner, Louisiana, United States
    • Chinese Academy of Medical Sciences
      Peping, Beijing, China
  • 2011–2014
    • East China Normal University
      • Institute of Biomedical Sciences and School of Life Sciences
      Shanghai, Shanghai Shi, China
    • Peking Union Medical College Hospital
      Peping, Beijing, China
  • 2009–2014
    • Southwest University in Chongqing
      • School of Psychology
      Pehpei, Chongqing Shi, China
    • Shanghai Jiao Tong University
      • Department of Computer Science and Engineering
      Shanghai, Shanghai Shi, China
    • Shenzhen University
      Bao'an, Guangdong, China
  • 2008–2014
    • Lanzhou University
      • • State Key Laboratory of Applied and Organic Chemistry
      • • School of Physical Science and Technology
      Kao-lan-hsien, Gansu Sheng, China
  • 2007–2014
    • Harbin Medical University
      • • Department of Pathophysiology
      • • Department of Nutrition and Food Hygiene
      • • Department of Cardiology
      Charbin, Heilongjiang Sheng, China
    • Chinese Academy of Sciences
      • Center for Space Science and Applied Research
      Peping, Beijing, China
    • 307 Hospital of the Chinese People's Liberation Army
      Peping, Beijing, China
  • 2012–2013
    • China Agriculture University-East
      Peping, Beijing, China
    • Wuhan Institute Of Virology
      Wu-han-shih, Hubei, China
    • Capital Medical University
      Peping, Beijing, China
    • Peking University Third Hospital
      Peping, Beijing, China
    • Hubei University of Chinese Medicine
      Shih-yen, Hubei, China
  • 2011–2013
    • Wuhan University
      • • College of Chemistry and Molecular Sciences
      • • State Key Laboratory of Virology
      Wu-han-shih, Hubei, China
  • 2010–2013
    • Peking University
      Peping, Beijing, China
  • 2008–2013
    • China Agricultural University
      • Department of Applied Chemistry
      Peping, Beijing, China
  • 2007–2013
    • Fourth Military Medical University
      • • Department of Ultrasound Diagnostics
      • • Department of Hematology
      Xi’an, Liaoning, China
  • 2001–2013
    • Henry Ford Health System
      • Department of Neurology
      Detroit, Michigan, United States
  • 2010–2011
    • California Institute of Technology
      • Department of Electrical Engineering
      Pasadena, California, United States
  • 2008–2011
    • IBM
      • Rational Research Lab
      Armonk, New York, United States
  • 2007–2010
    • Beijing Normal University
      • Institute of Developmental Psychology
      Beijing, Beijing Shi, China
  • 2004–2006
    • National Tsing Hua University
      Hsin-chu-hsien, Taiwan, Taiwan