Mingbo Zhao

Peking University

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Yong Jiang

Peking University

Pengfei Tu

Beijing University of Chinese Medicine

Xiaoyu Guo

Shanghai Normal University

Peng‐Fei Tu

Peking University

Ke‐Wu Zeng

Peking University

Jun Li

Beijing University of Chinese Medicine

Ke‐Wu Zeng

Peking University

Ke‐Wu Zeng

Peking University

Nankai Cao

Peking University

Xiaoli Ma

North Minzu University

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Peking University

105

City University of Hong Kong

Shanghai University

EY Technologies (United States)

Chinese Academy of Sciences

Zhengzhou University

Chinese Academy of Medical Sciences & Peking Union Medical College

Shanghai Jiao Tong University

Henan Academy of Agricultural Sciences

State Key Laboratory of Natural and Biomimetic Drugs

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Human Instance Segmentation and Tracking via Data Association and Single-stage Detector

arXiv (Cornell University) (2022)

Lu Cheng Mingbo Zhao

Human video instance segmentation plays an important role in computer understanding of human activities and is widely used in video processing, video surveillance, and human modeling in virtual reality. Most current VIS methods are based on Mask-RCNN framework, where the target appearance and motion information for data matching will increase computational cost and have an impact on segmentation real-time performance; on the other hand, the existing datasets for VIS focus less on all the people appearing in the video. In this paper, to solve the problems, we develop a new method for human video instance segmentation based on single-stage detector. To tracking the instance across the video, we have adopted data association strategy for matching the same instance in the video sequence, where we jointly learn target instance appearances and their affinities in a pair of video frames in an end-to-end fashion. We have also adopted the centroid sampling strategy for enhancing the embedding extraction ability of instance, which is to bias the instance position to the inside of each instance mask with heavy overlap condition. As a result, even there exists a sudden change in the character activity, the instance position will not move out of the mask, so that the problem that the same instance is represented by two different instances can be alleviated. Finally, we collect PVIS dataset by assembling several video instance segmentation datasets to fill the gap of the current lack of datasets dedicated to human video segmentation. Extensive simulations based on such dataset has been conduct. Simulation results verify the effectiveness and efficiency of the proposed work.

10.48550/arxiv.2203.16966

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[Purification of total flavonoid glycosides from Hypericum perforatum by macroporous adsorption resin with on-line detection system].

Mingbo Zhao Yong Jiang Hongquan Zhang Pengfei Tu

Objective To design a macroporous resin chromatography system with on-line detector which can be used to purify total flavonoid glycosides from Hypericum perforatum. Method Compared with the present detection methods, the ultraviolet detector which can be applied to flow liquid, and a self-made shunt were applied to design the on-line detection system. This system was successfully applied to purify the total flavonoid glycosides from H. perforatum. Result This on-line detection system was simple and feasible, and the results were accurate and reliable. The purity of total flavonoid glycosides from H. perforatum. separated by this system was higher than 90%. Conclusion This technique provides a simple and reliable on-line detection method for industrial chromatography purification of TCM extracts, which is the basis of automatic manufactory of TCM purification.

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Citations (1)

Sesquiterpenoids from Artemisia vestita

Phytochemistry (2018)

Shuaihua Tian Chen Zhang Ke‐Wu Zeng Mingbo Zhao Yong Jiang

Artemisia

10.1016/j.phytochem.2018.01.004

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Citations (17)

Evaluation of the effects of notoginseng total saponins (NS), safflower total flavonoids (SF), and the combination of NS and SF (CNS) on the activities of cytochrome P450 enzymes using a cocktail method in rats

Biomedical Chromatography (2021)

Li Y Yingyuan Lu Yuqing Meng Zhiyong Du Peng Gao

Notoginseng total saponins (NS), safflower total flavonoids (SF), and the combination of NS and SF, namely CNS, are used for the treatment of cardiovascular diseases in clinic. This study developed a cocktail assay involving seven cytochrome P450 (CYP) enzymes to elucidate the effect of NS, SF, and CNS on CYP enzymes and to explore the synergistic effect of CNS in terms of CYP enzymes. Ultra-performance liquid chromatography-MS and reverse-transcription polymerase chain reaction were applied to detect the activities and mRNA expression levels of CYP enzymes. SF exhibited inhibitory effects on CYP1A2, 2B1, 2E1, and 2C11 and induction effects on CYP2C19 and 2D4. NS exhibited induction effects on CYP1A2, 2B1, 2E1, 2C11, 2C19, and 2D4. CNS exhibited induction effects on CYP1A2, 2B1, 2E1, 2C19, and 2D4 and inhibitory effects on CYP3A1 in vivo. Moreover, mRNA expression results were consistent with pharmacokinetic results. Potential herb-drug interactions should be studied closely when SF, NS, or CNS with clinical drugs are metabolized by CYP1A2, 2B1, 2E1, 2C11, 2C19, 2D4, and 3A1. CNS could change the inhibition or induction effects of CYP compared to the NS group, which might be one of the causes for the synergistic effects of the combination of NS and SF.

10.1002/bmc.5171

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Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification

Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Jiaer Xia Lei Tan Pingyang Dai Mingbo Zhao Yongjian Wu

Occluded person re-identification (Re-ID) aims to address the potential occlusion problem when matching occluded or holistic pedestrians from different camera views. Many methods use the background as artificial occlusion and rely on attention networks to exclude noisy interference. However, the significant discrepancy between simple background occlusion and realistic occlusion can negatively impact the generalization of the network. To address this issue, we propose a novel transformer-based Attention Disturbance and Dual-Path Constraint Network (ADP) to enhance the generalization of attention networks. Firstly, to imitate real-world obstacles, we introduce an Attention Disturbance Mask (ADM) module that generates an offensive noise, which can distract attention like a realistic occluder, as a more complex form of occlusion. Secondly, to fully exploit these complex occluded images, we develop a DualPath Constraint Module (DPC) that can obtain preferable supervision information from holistic images through dualpath interaction. With our proposed method, the network can effectively circumvent a wide variety of occlusions using the basic ViT baseline. Comprehensive experimental evaluations conducted on person re-ID benchmarks demonstrate the superiority of ADP over state-of-the-art methods.

Identification

10.1609/aaai.v38i6.28437

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Citations (7)

CCDC 1573193: Experimental Crystal Structure Determination

The Cambridge Structural Database (2018)

Xiaoli Ma Jun Li Jiao Zheng Xiao-Pan Gu Daneel Ferreira

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/ccdc.csd.cc1pt15q

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Correlation study between molecular structure of sesquiterpene lactones and the selective adsorption performance of molecularly imprinted polymers

Journal of Chromatography A (2014)

Xiaoying Yin Qingshan Liu Xingxia Ma Xudong Zhou Mingbo Zhao

Molecularly imprinted polymer

Molecular imprinting

Selective adsorption

10.1016/j.chroma.2014.05.043

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Citations (8)

Comprehensive Analysis of GASA Family Members in the Peanut Genome: Identification, Characterization, and Their Expressions in Response to Pod Development

Agronomy (2022)

Yue Wu Ziqi Sun Feiyan Qi Mingbo Zhao Wenzhao Dong

The gibberellic acid-stimulated Arabidopsis (GASA) gene family is essential for plant growth and development, hormone level control, and phytohormone signal transmission. Different plants have been shown to contain numerous GASA homologs. However, there is no knowledge about these proteins in peanuts. In the current study, we performed a thorough bioinformatics and expression analysis and found 20, 22, and 40 GASA genes by genome-wide analyses of A. hypogaea L., A. duranensis, and A. ipaensis, respectively. We analyzed and predicted the physical properties of these genes. Based on the results of our phylogenetic analysis, the evolutionary tree constructed from the 40 AhGASA proteins was divided into seven categories, forming a total of 14 gene pairs. According to our observations, tandem duplication is a significant factor in the expansion of the GASA gene family. AhGASA was unevenly distributed on 20 chromosomes, and 17 tandem duplicated genes were identified. A co-lineage analysis with the A/B subgenome identified 69 linear/parallel homologous gene pairs. A cis-element analysis revealed that the AhGASA protein is crucial for hormone responsiveness. In materials with different size traits at various stages of peanut pod development, transcriptomics and RT-qPCR analyses revealed that AhGASA genes are expressed at various levels and are tissue-specific. This finding suggests that some AhGASA genes may be involved in controlling peanut pod size. This study suggests that GASA genes are crucial for controlling the development of peanut pods and provides the first systematic identification and analysis of GASA genes in peanut. These findings will help future research into the function of the GASA gene in the cultivated peanut.

10.3390/agronomy12123067

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Citations (6)

CCDC 1560531: Experimental Crystal Structure Determination

The Cambridge Structural Database (2018)

Chen Zhang Wen Ran Xiaoli Ma Ke‐Wu Zeng Xue Yang

10.5517/ccdc.csd.cc1pcvqm

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Citations (0)

Nitric oxide inhibitory flavonoids from traditional Chinese medicine formula Baoyuan Decoction

Fitoterapia (2015)

Xiaoli Ma Qian Yu Xiaoyu Guo Ke‐Wu Zeng Mingbo Zhao