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Author Xiang Bai

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Fe(III)-Catalyzed Decarboxylative C3-Difluoroarylmethylation of Coumarins with α,α-Difluoroarylacetic Acids.

Zhiwei Chen, Xiang Bai, Jie Sun, Yicheng Xu,

A facile Fe(III)-catalyzed oxidative decarboxylative radical coupling reaction of α,α-difluoroarylacetic acids with coumarins has been developed. This transformation, which provides a series of C-3 difluoroarylmethylated coumarins containing various functional groups in moderate-to-good yields, features easily accessible starting materials and operational simplicity. ... Read more >>

J. Org. Chem. (The Journal of organic chemistry)
[2020, 85(12):7674-7682]

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A collaborative online AI engine for CT-based COVID-19 diagnosis

Yongchao Xu, Liya Ma, Yang Fan, Yanyan Chen, Ke Ma, Jiehua Yang, Xian Yang, Yaobing Chen, Chang Shu, Ziwei Fan, Jiefeng Gan, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Dehua Yang, Ming-Wei Wang, Xi Wang, Xiaoliang Xie, Hongxiang Leng, Nagaraj Holalkere, Neil Halin, Ihab Roushdy Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Daniel Rubin, Guoping Wang, Chuangsheng Zheng, Zhen Li, Xiang Bai, Tian Xia,

Artificial intelligence can potentially provide a substantial role in streamlining chest computed tomography (CT) diagnosis of COVID-19 patients. However, several critical hurdles have impeded the development of robust AI model, which include deficiency, isolation, and heterogeneity of CT data generated from diverse institutions. These bring about lack of generalization of ... Read more >>

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Predicting COVID-19 malignant progression with AI techniques

Xiang Bai, Cong Fang, Yu Zhou, Song Bai, Zaiyi Liu, Qianlan Chen, Yongchao Xu, Tian Xia, Shi Gong, Xudong Xie, Dejia Song, Ronghui Du, Chunhua Zhou, Chengyang Chen, Dianer Nie, Dandan Tu, Changzheng Zhang, Xiaowu Liu, Lixin Qin, Weiwei Chen,

Background: The coronavirus disease 2019 (COVID-19) has become a worldwide pandemic since mid-December 2019, which greatly challenge public medical systems. With limited medical resources, it is a natural strategy, while adopted, to access the severity of patients then determine the treatment priority. However, our work observes the fact that the ... Read more >>

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Gliding vertex on the horizontal bounding box for multi-oriented object detection.

Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai,

Object detection has recently experienced substantial progress. Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects such as objects in aerial images and scene texts. In this paper, we propose a simple yet effective framework to detect multi-oriented objects. Instead of directly regressing the ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2020, :]

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Elevation of stromal cell-derived factor 1 and C-X-C chemokine receptor type 4 in white matter damage treatment with recombinant human erythropoietin and human umbilical cord mesenchymal stem cells in a rat model of preterm birth.

Liping Yin, Shiyu Wang, Ning Zhang, Xiang Bai, Jiali Xie, Quan Wen, Li Huang, Lijuan Qian, Li Jiang,

OBJECTIVES:To investigate the role of stromal cell-derived factor 1 (SDF-1) and C-X-C chemokine receptor type 4 (CXCR-4) in the premature brain with white matter damage (WMD) undergoing treatment with human umbilical cord mesenchymal stem cells (hUC-MSCs) and recombinant human erythropoietin (rhEPO). EXPERIMENTAL DESIGN:Three-day-old Sprague-Dawley (SD) rats were randomly divided into ... Read more >>

Int. J. Dev. Neurosci. (International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience)
[2020, 80(3):247-256]

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Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification.

Zheng Wang, Junjun Jiang, Yang Wu, Mang Ye, Xiang Bai, Shin'ichi Satoh,

Person re-identification (Re-ID) aims at matching person images captured in non-overlapping camera views. To represent person appearance, low-level visual features are sensitive to environmental changes, while high-level semantic attributes, such as "short-hair" or "long-hair", are relatively stable. Hence, researches have started to design semantic attributes to reduce the visual ambiguity. ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2020, 29(1):2013-2025]

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Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes.

Minghui Liao, Pengyuan Lyu, Minghang He, Cong Yao, Wenhao Wu, Xiang Bai,

Unifying text detection and text recognition in an end-to-end training fashion has become a new trend for reading text in the wild, as these two tasks are highly relevant and complementary. In this paper, we investigate the problem of scene text spotting, which aims at simultaneous text detection and recognition ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2019, :]

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Progressive Object Transfer Detection.

Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao,

Recent development of object detection mainly depends on deep learning with large-scale benchmarks. However, collecting such fully-annotated data is often difficult or expensive for real-world applications, which restricts the power of deep neural networks in practice. Alternatively, humans can detect new objects with little annotation burden, since humans often use ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2019, :]

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TextField: Learning a Deep Direction Field for Irregular Scene Text Detection.

Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai,

Scene text detection is an important step in the scene text reading system. The main challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and shapes. Driven by the recent progress in deep learning, impressive performances have been achieved for multi-oriented text detection. Yet, the performance drops dramatically ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2019, 28(11):5566-5579]

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Hot melt extrusion technology for improved dissolution, solubility and "spring-parachute" processes of amorphous self-micellizing solid dispersions containing BCS II drugs indomethacin and fenofibrate: Profiles and mechanisms.

Nian-Qiu Shi, Shu-Ran Wang, Yong Zhang, Jun-Shuang Huo, Li-Na Wang, Jian-Hui Cai, Zheng-Qiang Li, Bai Xiang, Xian-Rong Qi,

Many strategies have been employed to improve oral drug delivery. One such approach involves the use of supersaturable delivery systems such as amorphous self-micellizing solid dispersions (SmSDs). SmSDs have attracted more attention recently, but little is known regarding the impact of production methods on profiles and internal mechanisms of final ... Read more >>

Eur J Pharm Sci (European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences)
[2019, 130:78-90]

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Richer Convolutional Features for Edge Detection.

Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang,

Edge detection is a fundamental problem in computer vision. Recently, convolutional neural networks (CNNs) have pushed forward this field significantly. Existing methods which adopt specific layers of deep CNNs may fail to capture complex data structures caused by variations of scales and aspect ratios. In this paper, we propose an ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2019, 41(8):1939-1946]

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Deep FisherNet for Image Classification.

Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu,

Despite the great success of convolutional neural networks (CNNs) for the image classification task on data sets such as Cifar and ImageNet, CNN's representation power is still somewhat limited in dealing with images that have a large variation in size and clutter, where Fisher vector (FV) has shown to be ... Read more >>

IEEE Trans Neural Netw Learn Syst (IEEE transactions on neural networks and learning systems)
[2019, 30(7):2244-2250]

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PCL: Proposal Cluster Learning for Weakly Supervised Object Detection.

Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille,

Weakly Supervised Object Detection (WSOD), using only image-level annotations to train object detectors, is of growing importance in object recognition. In this paper, we propose a novel deep network for WSOD. Unlike previous networks that transfer the object detection problem to an image classification problem using Multiple Instance Learning (MIL), ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2020, 42(1):176-191]

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Automatic Ensemble Diffusion for 3D Shape and Image Retrieval.

Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian,

As a post-processing procedure, the diffusion process has demonstrated its ability of substantially improving the performance of various visual retrieval systems. Whereas, great efforts are also devoted to similarity (or metric) fusion, seeing that only one individual type of similarity cannot fully reveal the intrinsic relationship between objects. This stimulates ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2019, 28(1):88-101]

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ASTER: An Attentional Scene Text Recognizer with Flexible Rectification.

Baoguang Shi, Mingkun Yang, Xinggang Wang, Pengyuan Lyu, Cong Yao, Xiang Bai,

A challenging aspect of scene text recognition is to handle text with distortions or irregular layout. In particular, perspective text and curved text are common in natural scenes and are difficult to recognize. In this work, we introduce ASTER, an end-to-end neural network model that comprises a rectification network and ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2019, 41(9):2035-2048]

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Regularized Diffusion Process on Bidirectional Context for Object Retrieval.

Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki,

Diffusion process has advanced object retrieval greatly as it can capture the underlying manifold structure. Recent studies have experimentally demonstrated that tensor product diffusion can better reveal the intrinsic relationship between objects than other variants. However, the principle remains unclear, i.e., what kind of manifold structure is captured. In this ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2019, 41(5):1213-1226]

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TextBoxes++: A Single-Shot Oriented Scene Text Detector.

Minghui Liao, Baoguang Shi, Xiang Bai,

Scene text detection is an important step of scene text recognition system and also a challenging problem. Different from general object detection, the main challenges of scene text detection lie on arbitrary orientations, small sizes, and significantly variant aspect ratios of text in natural images. In this paper, we present ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2018, 27(8):3676-3690]

Cited: 2 times

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Anisotropic-Scale Junction Detection and Matching for Indoor Images.

Nan Xue, Gui-Song Xia, Xiang Bai, Liangpei Zhang, Weiming Shen,

Junctions play an important role in characterizing local geometrical structures of images, and the detection of which is a longstanding but challenging task. Existing junction detectors usually focus on identifying the location and orientations of junction branches while ignoring their scales, which, however, contain rich geometries of images. This paper ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2018, 27(1):78-91]

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Transcriptomics and Functional Analysis of Graphene-Guided Osteogenic Differentiation of Mesenchymal Stem Cells.

Long Wei Lv, Yun Song Liu, Ping Zhang, Ming Gu, Xiang Song Bai, Chun Yang Xiong, Yong Sheng Zhou,

OBJECTIVE:To explore graphene's effects on the gene expression profile of mesenchymal stem cells, and to reveal the mechanisms of graphene-guided osteogenic differentiation. METHODS:Human adipose-derived mesenchymal stem cells (hASCs) were cultured on single-layer graphene-coated titanium disks or titanium disks in proliferation medium (control) or osteoinduction medium for 7 days before RNA ... Read more >>

Chin J Dent Res (The Chinese journal of dental research : the official journal of the Scientific Section of the Chinese Stomatological Association (CSA))
[2018, 21(2):101-111]

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ARHI is a novel epigenetic silenced tumor suppressor in sporadic pheochromocytoma.

Dong Wang, Li Song, Liang Wang, Lianmei Zhao, Bai Xiang, Ying Li, Baoen Shan, Jing Liu,

Pheochromocytoma (PCC) is related to germline mutations in 12 susceptibility genes. Although comparative genomic hybridization array has revealed some putative tumor suppressor genes on the short arm of chromosome 1 that are likely to be involved in PCC tumorigenesis, the molecules involved, except for those encoded by known susceptibility genes, ... Read more >>

Oncotarget (Oncotarget)
[2017, 8(49):86325-86338]

Cited: 1 time

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DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.

Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille,

Object skeletons are useful for object representation and object detection. They are complementary to the object contour, and provide extra information, such as how object scale (thickness) varies among object parts. But object skeleton extraction from natural images is very challenging, because it requires the extractor to be able to ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2017, 26(11):5298-5311]

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Texture Characterization Using Shape Co-Occurrence Patterns.

Gui-Song Xia, Gang Liu, Xiang Bai, Liangpei Zhang,

Texture characterization is a key problem in image understanding and pattern recognition. In this paper, we present a flexible shape-based texture representation using shape co-occurrence patterns. More precisely, texture images are first represented by a tree of shapes, each of which is associated with several geometrical and radiometric attributes. Then, ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2017, 26(10):5005-5018]

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Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation.

Tao Huang, Weisheng Dong, Xuemei Xie, Guangming Shi, Xiang Bai,

Recovering the image corrupted by additive white Gaussian noise (AWGN) and impulse noise is a challenging problem due to its difficulties in an accurate modeling of the distributions of the mixture noise. Many efforts have been made to first detect the locations of the impulse noise and then recover the ... Read more >>

IEEE Trans Image Process (IEEE transactions on image processing : a publication of the IEEE Signal Processing Society)
[2017, 26(7):3171-3186]

Cited: 1 time

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Neurochemical and motor changes in mice with combined mutations linked to Parkinson's disease.

Xiang Bai, Margaret Chia-Ying Wey, Paul Anthony Martinez, Chao Shi, Elizabeth Fernandez, Randy Strong,

Considerable evidence suggests that oxidative stress plays a role in the pathogenesis of Parkinson's disease (PD), the most prevalent neurodegenerative movement disorder. Reduced expression of aldehyde dehydrogenase-1 (ALDH1) and glutathione peroxidase-1 (GPX1), enzymes that function to detoxify aldehydes and hydroxyl radicals, respectively, has been reported in the substantia nigra of ... Read more >>

Pathobiol Aging Age Relat Dis (Pathobiology of aging & age related diseases)
[2017, 7(1):1267855]

Cited: 2 times

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An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition.

Baoguang Shi, Xiang Bai, Cong Yao,

Image-based sequence recognition has been a long-standing research topic in computer vision. In this paper, we investigate the problem of scene text recognition, which is among the most important and challenging tasks in image-based sequence recognition. A novel neural network architecture, which integrates feature extraction, sequence modeling and transcription into ... Read more >>

IEEE Trans Pattern Anal Mach Intell (IEEE transactions on pattern analysis and machine intelligence)
[2017, 39(11):2298-2304]

Cited: 6 times

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